A Global Bibliometric Study of Current Bladder Cancer Cell Death Research
Zhi-wenCao5
Yue-yiChen1
Nan-xiFu6
Fu-ruiFu3
Sen-jieShi3
A
Hong-yuWang3✉
A
Chuang-longXu2,4✉
ChuanglongXu1Email
HongyuWang1Email
1School of NursingNingxia Medical UniversityYinchuanChina
2Ningxia Hui Autonomous Traditional Chinese Medicine Hospital and Chinese Medicine Research InstituteYinchuanChina
3Longhua HospitalShanghai University of Traditional Chinese MedicineShanghaiChina
4Guizhou University of Traditional Chinese MedicineGuiyangChina
5
A
A
Nanchang Hongdu Traditional Chinese Medicine HospitalJiangxiChina
6Jinan UniversityGuangzhouChina
Zhi-wen Cao5†,Yue-yi Chen1†, Nan-xi Fu6†, Fu-rui Fu3,Sen-jie Shi3, Hong-yu Wang3*, Chuang-long Xu2,4*
1School of Nursing, Ningxia Medical University, Yinchuan, China
2Ningxia Hui Autonomous Traditional Chinese Medicine Hospital and Chinese Medicine Research Institute, Yinchuan, China
3Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
4Guizhou University of Traditional Chinese Medicine, Guiyang, China
5Nanchang Hongdu Traditional Chinese Medicine Hospital, Jiangxi, China
6Jinan University, Guangzhou, China
*Correspondence: Chuanglong Xu, Email: mqxcl@163.com, Hongyu Wang, Email: wanghongyu2026@163.com
Zhi-wen Cao, Yue-yi Chen and Nan-xi Fu contributed equally to this work.
Abstract
Cell death mechanisms offer therapeutic strategies for bladder cancer, yet lack comprehensive bibliometric analysis. Map global research trends and hotspots in bladder cancer cell death mechanisms via bibliometrics. We analyzed 5,392 publications (1991–2024) from Web of Science using VOSviewer (co-authorship/keyword clustering), CiteSpace (citation bursts), and GraphPad Prism (statistics). Metrics included: (1) Temporal trends, (2) Country/institution contributions, (3) Journal impact, (4) Citation dynamics, (5) Collaboration networks, (6) Conceptual hotspots. China and the US led research output. Top institutions:University of Texas System (USA; 178 publications), UTMD Anderson Cancer Center (USA; 123), Nanjing Medical University (China; 122), Journal of Urology had the highest output (106 publications); Cancer Research (IF:12.5) the highest impact. Kim Wun-Jae was the most productive author (37 articles); Jemal A the most co-cited (446 citations). Keyword and citation analyses revealed emerging integration of cell death mechanisms with immunotherapy (IT) and photodynamic therapy (PDT) to overcome chemoresistance. This study delineates the evolution of bladder cancer cell death research and identifies IT/PDT as promising resistance-overcoming strategies grounded in targeted cell death pathways.
Keywords
Apoptosis
Bibliometric analysis
Bladder cancer
Cell death mechanisms
Immunotherapy
Ferroptosis
Photodynamic therapy
1 Introduction
Bladder cancer (BC) constitutes the most frequent urogenital malignancy. GLOBOCAN 2022 reports BC as the ninth most common cancer worldwide and the thirteenth leading cause of cancer-related mortality, while epidemiological studies consistently demonstrate a 3–4-fold higher incidence in males compared to females [1]. Urothelial carcinoma (UC) constitutes the predominant histological subtype of bladder tumors. Histopathological classification is based on detrusor muscle invasion status: non-muscle-invasive bladder cancer (NMIBC) refers to tumors confined to the mucosal epithelium or lamina propria, whereas muscle-invasive bladder cancer (MIBC) denotes invasion into the muscularis propria layer [2]. Among these, NMIBC accounts for approximately 75% of BC cases, while MIBC comprises the remaining 25%. Studies report alarmingly high 5-year recurrence and progression rates for NMIBC—up to 78% and 45%, respectively—which complicate clinical management and elevate recurrence risks. For intermediate- to high-risk NMIBC, the cornerstone initial therapy involves transurethral resection of bladder tumor (TURBT) followed by adjuvant intravesical Bacillus Calmette-Guérin (BCG). Notably, BCG immunotherapy remains the only established, widely adopted conservative treatment proven to reduce progression risk in high-risk NMIBC [35]. Conversely, MIBC typically presents with high-grade histology, locally advanced disease, or metastases, necessitating cisplatin-based neoadjuvant chemotherapy and radical cystectomy, often supplemented by biomarker-guided immune checkpoint inhibitors or targeted combination therapies [6, 7]. Although current strategies (e.g., TURBT, radical cystectomy, chemotherapy, and immunotherapy) form the therapeutic backbone, persistent challenges include high recurrence rates and treatment resistance in advanced/metastatic BC. Consequently, elucidating pathogenic mechanisms and identifying actionable therapeutic targets through fundamental research is critically needed to improve clinical outcomes.
As a genitourinary malignancy, BC pathogenesis is closely linked to cell death mechanisms. Diverse forms of cell death—including apoptosis (regulated by factors such as Bcl-2 and survivin), pyroptosis, and ferroptosis—play critical roles in BC initiation, progression, and treatment response. Dysregulation of apoptosis-related gene expression is a well-established key factor in the development and advancement of numerous cancers [8]. Pyroptosis, identified as a distinct form of programmed cell death (PCD), demonstrates a close association with urothelial cell damage in BC development; consequently, several compounds can mitigate BC progression by inhibiting pyroptosis [9]. Compared to normal cells, tumor cells require increased iron for malignant proliferation, implying heightened tumor susceptibility to ferroptosis. Crucially, ferroptosis contributes significantly to BC pathogenesis and can induce death in apoptosis-resistant tumor cells[10]. Therefore, these cell death mechanisms are fundamentally implicated in BC. Although substantial clinical research on bladder cancer cell death has been documented and significant progress achieved, current studies remain fragmented. Critically, a systematic analysis delineating the fields developmental trajectory, core research foci, and emerging frontiers is lacking. To address this gap, we conducted a comprehensive bibliometric study.
Bibliometrics employs statistical methods to quantitatively analyze scholarly publications, systematically mapping research trajectories and intellectual landscapes. Through mathematical techniques, it elucidates academic contributions—including affiliations, journals, authors, citations, and keywords—while integrating data visualization to assess literature volume, quality, impact, and structural relationships [11, 12]. This approach provides an ideal framework for identifying influential research, emerging hotspots, and global trends, thereby generating actionable insights for future investigations. Applying this methodology, our study integrates statistical analysis with advanced visualization tools (e.g., co-citation networks, keyword clustering) to establish the first bibliometric overview of global research on cell death mechanisms in bladder cancer. We further identify evolving research trends and future directions. The findings provide researchers and clinicians with a definitive roadmap of the fields evolution and highlight priority areas for targeted exploration.
2 Data and Methods
2.1 Data source and retrieval strategy
The WoSCC, a premier multidisciplinary database indexing high-impact, peer-reviewed journals, was selected for this bibliometric analysis. Its rigorous curation ensures the inclusion of high-quality bladder cancer research, aligning with our objective to provide a reliable and comprehensive field assessment. On December 31, 2024, we systematically retrieved publications using the following search strategy: (Cell Death Terms): TS=("Cell Death" OR "Death, Cell" OR Apoptosis OR "Classical Apoptosis" OR "Classic Apoptosis" OR "Programmed Cell Death, Type I" OR "Extrinsic Pathway Apoptosis" OR "Intrinsic Pathway Apoptosis" OR "Programmed Cell Death" OR "Caspase-Dependent Apoptosis" OR Pyroptosis OR "Inflammatory Apoptosis" OR "Pyroptotic Cell Death" OR "Caspase-1 Dependent Cell Death" OR Necroptosis OR Ferroptosis OR Disulfidptosis) AND (Bladder Cancer Terms): TS=("bladder cancer" OR "Bladder Neoplasm" OR "Bladder Tumor" OR "Cancer of Bladder" OR "Urinary Bladder Cancer*"). Inclusion Criteria: English-language original research, reviews, experimental studies, and clinical trials. Exclusion Criteria: Conference abstracts, book chapters, and non-peer-reviewed publications. The initial search yielded 5,880 records. After duplicate removal using EndNote followed by manual verification, two independent authors screened titles/abstracts. Publications unrelated to bladder cancer cell death mechanisms were excluded. Discrepancies were resolved through discussion with a third author. This process resulted in 5,392 articles for final analysis (Fig. 1).
Fig. 1
Flowchart of literature search
Click here to Correct
2.2 Data analysis and visualization
This study employed GraphPad Prism, CiteSpace, and VOSviewer for comprehensive data analysis and visualization, focusing on annual publication counts, national/regional publication trends, proportional distributions, and the generation of scientific knowledge maps. Specifically, GraphPad Prism was utilized to calculate and visualize publication volumes by year, publication trends across regions/countries, and proportional research distributions. VOSviewer facilitated the analysis of collaborations among countries/regions, institutions, and authors, as well as keyword clustering. CiteSpace was employed to analyze citation bursts, keyword co-occurrence patterns, and cited reference networks, thereby identifying emerging research frontiers and intellectual bases within the field. In the resulting visualizations, each node represents an element (e.g., country, institution, keyword); node size corresponds to publication count (for countries/institutions) or keyword frequency, while connecting lines denote collaboration strength or keyword co-occurrence frequency, with colors differentiating clusters or temporal periods. Furthermore, CiteSpace enabled the examination of citation burst evolution and keyword emergence trends over time, thereby providing insights into the developmental trajectory of the research field.
3 Results
3.1 Global trend in publication outputs andcitations
Analysis of the WoSCC revealed a total of 5,392 publications on bladder cancer cell death indexed as of December 31, 2024. These publications originated from 654 institutions across 95 countries/regions, were published in 1,235 journals, and involved contributions from 1,693 authors. Annual publication trends are presented in Fig. 2. The field exhibited a consistent upward trajectory, with an average annual growth rate of 14.44% and a peak output of [specify number] publications in 2022. This trend signifies a substantial and progressive increase in global research activity focused on bladder cancer cell death. Furthermore, the pronounced acceleration in recent years strongly suggests that bladder cancer cell death will remain a prominent and actively investigated area with significant research potential in the foreseeable future.
Fig. 2
Annual volume of publications
Click here to Correct
3.2 Distribution of countries/regions
A total of 95 countries/regions have contributed to bladder cancer cell death research. Figures 3A and 3B illustrate the annual publication outputs of the top 10 productive countries/regions over the past decade. The top five contributors were China, the United States, Japan, Germany, and South Korea. China accounted for 45.38% of total publications, significantly exceeding the combined output of all other nations. Among the top 10 countries/regions, Chinese publications accumulated 62,119 citations (Table 1)—substantially higher than all others—with a citations-per-publication ratio of 25.39 (ranking 7th globally), indicating consistently high research quality. The United States ranked second in publications (1,093 papers), citations (54,042), and citations-per-publication ratio (49.45), reflecting strong citation influence. Notably, the United Kingdom, though ranking 7th in publications (152 papers), achieved the highest citations-per-publication ratio (53.63), demonstrating exceptional impact and scholarly quality. Both the collaborative network (Fig. 3C) and geospatial coordination map (Fig. 3D) underscore the dominant scholarly leadership of China and the United States, as their disproportionately large node sizes signify superior productivity and academic engagement in this field.
Fig. 3
(A). Line graph of national publications (B). Heat map of national publications (C). Networks of country cooperation (D). Knowledge visualization map for international collaboration
Click here to Correct
Table 1
Table of country published literature
Rank
Country/region
Article counts
centrality
Percentage (%)
Citation
Citation per publication
1
CHINA
2447
0.11
45.38%
62119
25.39
2
USA
1093
0.5
20.27%
54052
49.45
3
JAPAN
390
0.05
7.23%
14355
36.81
4
GERMANY
256
0.09
4.75%
8342
32.59
5
SOUTH KOREA
186
0.05
3.45%
5657
30.41
6
ITALY
165
0.06
3.06%
5420
32.85
7
ENGLAND
152
0.1
2.82%
8151
53.63
8
CANADA
120
0.08
2.23%
5100
42.50
9
INDIA
112
0.07
2.08%
2826
25.23
10
IRAN
108
0.07
2.00%
2436
22.56
3.3 Institutions
A total of 654 institutions have published research on bladder cancer cell death (Table 2; Fig. 4). All the 10 institutions by publication volume originated from China and the United States. The University of Texas System led with 178 publications (10,335 citations; average citation = 58.06), followed by UTMD Anderson Cancer Center (2nd; 123 publications, 6,967 citations; average citation = 56.64) and Nanjing Medical University (3rd; 122 publications, 3,689 citations; average citation = 30.02). Further analysis revealed a pronounced preference for intra-country collaboration among both domestic and international institutions. This observed bias highlights the need to strengthen global research partnerships and mitigate academic fragmentation.
Table 2
Table of Institutional Published Literature
Rank
Institution
Country
Number of studies
Total citations
Average citation
1
University of Texas System
USA
178
10335
58.06
2
UTMD Anderson Cancer Center
USA
123
6967
56.64
3
Nanjing Medical University
China
122
3689
30.24
4
Sun Yat Sen University
China
105
3426
32.63
5
Zhejiang University
China
99
3440
34.75
6
Shanghai Jiao Tong University
China
97
2311
23.82
7
Huazhong University of Science & Technology
China
97
2996
30.89
8
Peking University
China
96
2525
26.30
9
China Medical University
China
93
2205
23.71
10
University of California System
USA
91
5130
56.37
Fig. 4
Networks of institutional co-operation
Click here to Correct
3.4 Journals
Tables 3 and Fig. 4 list the top 10 journals by publication volume and co-citation frequency, respectively. The Journal of Urology led in productivity (106 publications, 1.97%), followed by Oncology Reports (100, 1.85%), Oncotarget (99, 1.84%), Oncology Letters (95, 1.76%), International Journal of Molecular Sciences (93, 1.72%), and PLOS ONE (86, 1.59%). Among these, Cancer Research had the highest impact factor (IF 12.5). Notably, 60% were JCR Q1 journals—a dominance attributable to the field's alignment with high-impact, rigorously peer-reviewed venues, reflecting the topic's translational significance and interdisciplinary nature. Journal influence was further assessed through co-citation analysis (Fig. 5B; Table 4). CANCER RESEARCH ranked first (3,405 co-citations), ahead of ONCOGENE (2,356) and CLINICAL CANCER RESEARCH (2,290). Nature, while 4th in co-citations (2,273), achieved the highest citation density (50.5 citations/article) among top journals. Eighty percent of co-cited journals belonged to JCR Q1, reinforcing their foundational role in the field's knowledge structure.
Table 3
Table of Journal Publications
Rank
Journal
Article counts
Percentage(5392)
IF
Quartile in category
1
journal of urology
106
1.97%
6.4
Q1
2
oncology reports
100
1.85%
3.4
Q2
3
oncotarget
99
1.84%
-
-
4
oncology letters
95
1.76%
2.5
Q3
5
international journal of molecular sciences
93
1.72%
4.9
Q1
6
plos one
86
1.59%
2.9
Q1
7
international journal of oncology
82
1.52%
4.5
Q1
8
cancer research
80
1.48%
12.5
Q1
9
cancers
74
1.37%
4.5
Q1
10
anticancer research
71
1.32%
1.6
Q4
Fig. 5
(A). Density map of journal publications (B). Co-citation network map of journals (C). dual map of journals
Click here to Correct
Table 4
Co-citation table of journals
Rank
Cited Journal
Co-Citation
IF(2024)
Quartile in category
1
CANCER RES
3405
12.5
Q1
2
ONCOGENE
2356
6.9
Q1
3
CLIN CANCER RES
2290
10.4
Q1
4
NATURE
2273
50.5
Q1
5
J BIOL CHEM
2084
4.0
Q2
6
CELL
2035
45.6
Q1
7
P NATL ACAD SCI USA
2002
9.4
Q1
8
INT J CANCER
1916
5.7
Q1
9
EUR UROL
1844
25.3
Q1
10
PLOS ONE
1798
2.9
Q1
The density visualization (Fig. 5A) revealed three research clusters: Core oncology: Cancer Research, British Journal of Cancer, International Journal of Cancer Clinical translation: Journal of Urology, Translational Andrology and Urology, Biomedicine & Pharmacotherapy. Basic mechanisms: Journal of Biological Chemistry, Journal of Cellular Biochemistry, Frontiers in Genetics. Dual-map overlay (Fig. 5C) traced citation pathways, identifying three key knowledge flows: Yellow trajectory: Publications in Molecular/Biology/Immunology journals influence both basic science (Molecular/Biology/Immunology) and clinical (Health/Nursing/Medicine) domains. Green trajectory: Medicine/Medical Clinical research draws significantly from Health/Nursing/Medicine insights. This topology indicates an evolving research front (left clusters) and established knowledge base (right clusters), predicting future diversification from molecular mechanisms toward clinical and translational oncology.
Dual-map overlay analysis (Fig. 5C) identified three citation trajectories: Yellow: Molecular/biology/immunology research influencing both its own domain and health/nursing/medicine; Green: Medicine/clinical publications informed by health/nursing/medicine insights; Predicted shift: Emerging focus from molecular/biology/immunology toward clinical applications. Collectively, these trajectories indicate evolving research fronts in bladder cancer cell death mechanisms."
3.5 Authors
Table 5 lists the top 10 most prolific authors in bladder cancer cell death research. Collectively, these authors contributed 273 publications (5.06% of total publications). Kim Wun-Jae led with 37 papers, followed by Liu Yu-Chen and Zhang Wei (33 papers), Choi Yung-Hyun (29 papers), and Chen Wei (25 papers).CiteSpace co-authorship analysis (Fig. 6A) revealed distinct research clusters led by prominent authors (e.g., Kim wun-jae, Zhang wei, Liu yuchen), while peripheral contributors exhibited limited collaborative engagement, suggesting more independent research trajectories. Figure 6B and Table 5 further identify the top 10 co-cited and cited authors. The co-citation network’s largest nodes represent the most influential scholars: Jemal a (446 co-citations), Siegel rl. (441), Wang Y. (316), Witjes Ja (315), and Babjuk m (305).
Table 5
Author's publications and co-citation table
Rank
Author
Count
Rank
Co-cited author
Citation
1
Kim, wun-jae
37
1
Jemal a
446
2
Liu, yuchen
33
2
Siegel rl
441
3
Zhang, wei
33
3
Wang y
316
4
Choi, yung hyun
29
4
Witjes ja
315
5
Chen, wei
25
5
Babjuk m
305
6
Huang, weiren
25
6
Bellmunt j
303
7
Cai, zhiming
24
7
Kamat am
281
8
Moon, sung-kwon
23
8
Antoni s
267
9
He, dalin
22
9
Li j
247
10
Schulz, wolfgang a.
22
10
Sung h
243
Fig. 6
(A). Cooperation network of authors (B). Co-citation network of authors
Click here to Correct
3.6 Citation and co-citation analysis
Citation analysis serves as a critical method for assessing scholarly impact, reflecting both a publication's influence within a field and prevailing research trends. Table 6 lists the top 10 most-cited papers in bladder cancer cell death research. The highest-cited publication, 'Comprehensive molecular characterization of urothelial bladder carcinoma' (110 citations), established foundational molecular frameworks for bladder cancer cell death. This was followed by 'Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma' (103 citations), which advanced systemic therapy approaches, and 'Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma...' (79 citations), which validated immune checkpoint inhibition efficacy. Collectively, these seminal works provide conceptual foundations for modern bladder cancer cell death research [13, 15].
Table 6
Co-citation table of literature
Rank
Title
Journal
author(s)
Total citations
1
Comprehensive molecular characterization of urothelial bladder carcinoma
NATURE
Weinstein JN
110
2
Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma
NEW ENGL J MED
Bellmunt J
103
3
Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial
LANCET
Rosenberg JE
79
4
Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer
CELL
Robertson AG
79
5
Advances in bladder cancer biology and therapy
NAT REV CANCER
Tran LD
78
6
Nivolumab in metastatic urothelial carcinoma after platinum therapy (CheckMate 275): a multicentre, single-arm, phase 2 trial
LANCET ONCOL
Sharma P
66
7
Atezolizumab as first-line treatment in cisplatin-ineligible patients with locally advanced and metastatic urothelial carcinoma: a single-arm, multicentre, phase 2 trial
LANCET
Balar AV
66
8
Molecular biology of bladder cancer: new insights into pathogenesis and clinical diversity
NAT REV CANCER
Knowles MA
60
9
MPDL3280A (anti-PD-L1) treatment leads to clinical activity in metastatic bladder cancer
NATURE
Powles T
50
10
Atezolizumab versus chemotherapy in patients with platinum-treated locally advanced or metastatic urothelial carcinoma (IMvigor211): a multicentre, open-label, phase 3 randomised controlled trial
LANCET
Powles T
49
To elucidate intellectual relationships within the citation landscape, we performed co-citation clustering analysis on 5,392 publications (1991–2024) using time-slicing. This generated a comprehensive co-citation network (Fig. 7A) comprising 2,046 nodes and 8,431 links (density = 0.004). The analysis identified 19 distinct clusters (Figs. 7B and 7C), ranked by size from largest (0) to smallest (19). The network demonstrated exceptional structural validity, with high modularity (Q = 0.8388) and mean silhouette score (S = 0.8817), confirming robust cluster homogeneity.These co-citation clusters represent the intellectual foundation of bladder cancer cell death research. We synthesized five major research hotspots from the 19 clusters: (1) Cell Death Mechanisms & Molecular Regulation: 0 Ferroptosis, 1 Bcl-2, 2 Survivin; (2) Bladder Cancer Phenotypes: 3 Urothelial carcinoma, 16 Bladder cancer transformation; (3) Therapeutic Interventions: 4 Proliferation pathways, 7 Ursolic acid, 11 Metformin, 9 Allyl isothiocyanate. (4) Biomarkers & Diagnostics: 8 Tumor markers, 5 lncRNAs, 6 miRNAs, 12 Circular RNAs. (5) Clinical Translation: 10 Animal models, 13 Clusterin, 14 FAS-ligand, 17 Clinical implications, 18 ROS signaling.
Fig. 7
(A). co-cited network of literature (B). Clustering of co-cited literature (C). Peak map of co-cited literature (D). Bursting map of cited literature
Click here to Correct
Citation burst analysis reveals rapidly evolving research frontiers. Figure 7D identifies the top 50 references with the strongest citation bursts. The earliest significant burst (2007) emerged from seminal work by Jemal et al., which highlighted bladder cancer mortality rates and galvanized research interest in therapeutic development. The most intense burst (strength = 85.61) was observed for Sung et al.'s 2021 CA: A Cancer Journal for Clinicians study, persisting through 2024.Current citation bursts (initiated 2022 and ongoing) are driven by five influential publications: Sung H, et al. (2021) CA Cancer J Clin [16], Lenis AT, et al. (2020) JAMA[17], Patel VG, et al. (2020) CA Cancer J Clin [18], Tran L, et al. (2020) Nature [19], Dobruch J, et al. (2021) Medicina (Kaunas) [20]. Collectively, these bursting publications—dominated by epidemiological updates and clinical guideline revisions—demonstrate the field's dynamic evolution toward translational applications.
3.7
Keywords
Keywords encapsulate core research concepts, and their co-occurrence analysis reveals both disciplinary hotspots and emerging trends. Using VOSviewer, we constructed a keyword co-occurrence network from 5,392 publications (Table 7; Figs. 8A and 8B). The most frequent terms were apoptosis (2,299 occurrences), bladder cancer (2,045), proliferation (797), growth (570), and activation (500).Network clustering identified five thematic domains: Cell Death Mechanisms (Green): apoptosis, autophagy, mitochondrial dysfunction, ROS; Tumor Progression (Blue): bladder cancer, proliferation, migration, metastasis; Clinical Therapeutics (Red): chemotherapy, targeted therapy, doxorubicin, cisplatin, PD-1/PD-L1 inhibition; Molecular Biomarkers (Yellow): p53, biomarkers; Disease Subtyping (Purple): urothelial carcinoma.
Table 7
High Frequency Keyword Table
Rank
Keyword
Counts
Rank
Keyword
Counts
1
apoptosis
2299
11
therapy
334
2
bladder cancer
2045
12
cisplatin
327
3
proliferation
797
13
urothelial carcinoma
309
4
growth
570
14
migration
303
5
activation
500
15
pathway
285
6
invasion
445
16
p53
283
7
progression
439
17
prognosis
280
8
metastasis
415
18
immunotherapy
278
9
inhibition
384
19
resistance
278
10
chemotherapy
364
20
survival
274
Fig. 8
(A). Network map of high-frequency keywords (B). Density map of keywords (C). Peak map of keyword clustering (D). clustering map of keywords
Click here to Correct
Using CiteSpace, we generated timeline visualizations (Figs. 8C and 8D) to illustrate the temporal evolution of research hotspots. Our analysis identified lncRNA, bladder cancer, apoptosis, tumor growth, photodynamic therapy, in vivo studies, identification, and tissue analysis as current predominant research foci. Furthermore, we performed keyword burst analysis via CiteSpace, selecting the top 50 terms with the strongest citation bursts during 1991–2024, ranked by burst intensity (Fig. 9). These terms represent the field's current research priorities and potential future directions. Notably, "invasion" exhibited the highest burst strength. Given that invasion underpins the entire progression, metastasis, and prognosis of bladder cancer, it constitutes a key entry point for understanding malignant behavior and optimizing diagnosis/therapy. Additionally, keywords including "pembrolizumab", "multicenter" trials, "metabolism", the "tumor microenvironment", "cell death" mechanisms, and "long noncoding RNA" (lncRNA) continued to demonstrate significant burst strength in 2024, strongly suggesting these areas will likely remain central to future research.
Fig. 9
Bursting map of keywords
Click here to Correct
4 Discussion
4.1 General information
A comprehensive search of the WoSCC database (1991–2024) identified 5,392 publications on bladder cancer cell death mechanisms, contributed by 1,693 authors from 654 institutions across 95 countries/regions and published in 1,235 journals. Despite intermittent fluctuations, annual publication output exhibited an overall upward trajectory (Fig. 2). Notably, a sharp surge occurred after 2016, peaking significantly in 2017. Citation burst analysis (Fig. 7D) attributed this peak to increased research focus on programmed cell death-based chemotherapy for bladder cancer patients beginning in 2017. Specifically, 7 of the top 50 references with the strongest citation bursts were published in 2017, including 3 directly addressing chemotherapy. Leading contributors Balar AV, Sharma P, and Bellmunt J investigated chemotherapy regimens targeting programmed cell death (using agents including atezolizumab, pembrolizumab, and nivolumab), thereby establishing the foundation for subsequent research on cell death mechanism-based immunotherapy combinations in bladder cancer [21, 23]. Concurrently, geographic collaboration networks revealed the top 10 contributing countries spanning three regions: Asia, Europe, and North America. Of these, China emerged as a dominant contributor, ranking among the top three in both publication volume and citation frequency. The sustained increase in annual publications and citation frequency since 1991 reflects intensifying global interest in bladder cancer cell death research, underscoring its growing academic significance and translational potential.
An in-depth analysis of contributions from 95 countries/regions revealed a heterogeneous global research landscape. China emerged as the dominant contributor in bladder cancer cell death research, evidenced by its leading publication output (2,447 papers, 45.38% of total) and high citation frequency (62,199 citations). Notably, China is not only the sole developing nation among the top 10 contributing countries but has also demonstrated exponential publication growth since 2011, establishing a significant lead over other nations. While China dominates in research volume, the United States and United Kingdom lead in citation impact (mean citations: 49.45 and 53.63, respectively), reflecting higher-quality contributions. This disparity underscores the critical need for enhanced international collaboration to simultaneously augment the volume and quality of global research output [24].
Institutional contributions reflect distinct national research trajectories in this field. Notably, 7 of the top 10 institutions by publication volume are in China, while the remaining 3 are in the United States. Among these, the University of Texas System, UTMD Anderson Cancer Center, and Nanjing Medical University lead bladder cancer cell death mechanism research, contributing substantially to global output. Critically, Chinese institutions comprise 70% of the top 10 contributors and account for 45.38% of total publications, underscoring their dominant quantitative role. Conversely, U.S. institutions exhibit significantly higher per-publication citation rates (49.45 vs. China’s 25.39), reflecting greater emphasis on high-impact research. Furthermore, the three most-cited institutions—University of Texas System (10,335 citations), UT MD Anderson Cancer Center (6,967), and University of California System (5,130)—far surpass leading Chinese institutions (e.g., Nanjing Medical University: 3,689; Sun Yat-sen University: 3,426). This citation disparity may stem from language barriers, data-sharing policies, and divergent research priorities. Specifically, U.S. institutions (e.g., University of Texas System) maintain broader international collaborations, publishing predominantly in high-impact English journals; in contrast, Chinese institutions focus on domestic networks, indicating opportunities for enhanced global engagement. To address these gaps, prioritized strategies include: (1) establishing multinational consortia for data sharing; (2) developing open-data platforms compliant with privacy regulations; and (3) overcoming language barriers via professional translation services and standardized English scientific reporting. Implementing these measures will amplify global impact and accelerate clinical translation of bladder cancer cell death research.
Influential authors including Jemal A, Bellmunt J, Witjes JA, and Siegel RL have profoundly shaped this field through their work on bladder cancer epidemiology, cell death mechanisms, and therapeutic applications. Notably, Bellmunt J pioneered research on programmed cell death-based therapies for BC [22], establishing him as a key opinion leader. Concurrently, Witjes JA's clinical studies on NMIBC treatment [25] directly informed subsequent clinical decisions regarding cell death mechanism-immunotherapy synergies. These contributions underscore the critical role of foundational research in driving therapeutic innovation. Regarding dissemination, Journal of Urology, Oncology Reports, and Oncotarget led in publication volume for bladder cancer cell death research. However, citation impact was dominated by high-impact journals: CANCER RESEARCH (IF = 12.5; co-citations: 3,405), NATURE (IF = 50.5; co-citations: 2,273), and CELL (IF = 45.6; co-citations: 2,035). Strikingly, 90% of the top 10 co-cited journals (e.g., European Urology, ONCOGENE) are JCR Q1 publications, emphasizing the field's academic significance. Coupling analysis further revealed that key findings are primarily published in immunology, molecular biology, and genetics journals. Cross-disciplinary integration of fundamental sciences—particularly molecular biology, genetics, biomaterials, and medicinal chemistry—provides the essential framework for elucidating cell death mechanisms and translating discoveries into clinical applications. Consequently, multidisciplinary collaboration across these domains is poised to accelerate therapeutic optimization and advance precision medicine for bladder cancer patients.
4.2 Frontiers
Co-citation networks mapped via CiteSpace and VOSviewer reveal distinct thematic clusters representing major research foci in bladder cancer cell death (Fig. 8). These span a multidimensional continuum from fundamental mechanisms to clinical translation, with hotspots concentrated in: Cell death mechanisms (apoptosis, autophagy, mitochondrial dysfunction, ROS signaling); Tumor progression (bladder carcinogenesis, proliferation, migration, metastasis); Clinical strategies (chemotherapy, targeted therapy, immunohistochemical biomarkers). Critically, immunotherapy has emerged as a dominant clinical paradigm. Contemporary trials position immune-based therapies as transformative interventions—specifically through their capacity to reprogram the tumor microenvironment (TME)—and dominate treatment research by leveraging cell death pathways for antitumor efficacy [26, 27]. This predominance underscores the therapeutic imperative of cell death mechanism-based immunotherapy in bladder cancer.
PCD mechanisms—including apoptosis and ferroptosis—represent a critical research frontier in bladder oncology, profoundly influencing tumorigenesis, progression, prognostic prediction, and therapeutic interventions[2830]. Therefore, current research focuses on multi-faceted breakthroughs targeting these core mechanisms. Specifically, in targeted drug delivery, nanoparticle-based systems demonstrate substantial potential for overcoming traditional therapeutic limitations [31, 32]. These systems enhance solubility, tumor permeability, and targeting specificity of PCD-inducing agents, thereby reducing required dosages and systemic toxicity while precisely augmenting tumor cell death induction, which improves therapeutic precision and efficacy. Concurrently, the TME receives considerable attention due to its pivotal regulatory role in PCD. Complex TME interactions—such as immunosuppression and therapy resistance induction—coupled with its secreted growth factors, cytokines, and chemokines, not only support tumor growth and metastasis but also significantly impair therapeutic PCD induction. Consequently, elucidating and modulating TME-mediated PCD regulation emerges as the key strategy to overcome treatment resistance[33].
Co-citation analysis of research trends highlights the evolving focus bladder cancer cell death mechanisms. Initially, early studies emphasized fundamental roles of cell death, demonstrating that tumor suppressor p53 critically regulates cell cycle progression and apoptosis under cytotoxic conditions [34, 35]. Subsequently, mid-phase research explored therapeutic applications, revealing synergistic effects between chemotherapy/radiotherapy and cell death pathways. Chemotherapeutic agents were confirmed to eliminate bladder cancer cells via apoptosis; unfortunately, tumor cells frequently developed chemoresistance. Consequently, researchers adopted combination strategies—such as chemo-radiotherapy—to induce cell death through complementary mechanisms, significantly enhancing treatment efficacy [36, 37]. Recently, investigations shifted toward precision medicine, integrating immunotherapy and PDT with cell death mechanisms [38, 39]. Collectively, this progression reflects the fields dynamism and its continuous advancement toward technologically driven clinical solutions.
4.2.1 Cell Death Mechanisms in Bladder Cancer: an in-depth exploration of bladder cancer
PCD constitutes an active cellular demise process triggered by specific signals to maintain internal homeostasis. Major PCD modalities include ferroptosis, apoptosis, cuproptosis, necroptosis, autophagy, and pyroptosis [40, 41]. Notably, apoptosis and ferroptosis represent critical anti-cancer mechanisms. Bladder cancer cells frequently evade elimination by acquiring apoptosis resistance, enabling survival, proliferation, and metastasis. Thus, apoptosis evasion constitutes a major therapeutic challenge. Critically, studies confirm that Survivin, a pivotal anti-apoptotic protein, directly mediates chemoresistance in bladder cancer. Therapeutic suppression of Survivin expression significantly enhances treatment efficacy while potently reducing chemoresistance development in preclinical models [4244]. Furthermore, the B-cell lymphoma 2 (BCL-2) gene encodes a mitochondrial protein that regulates apoptotic PCD [45], while tumor suppressor p53 aberrantly influences bladder cancer chemoresistance through apoptosis induction [46]. Collectively, these dysregulated factors (Survivin, BCL-2, p53) not only drive tumor progression but also serve as poor prognostic indicators [47]. Consequently, targeting apoptotic pathways emerges as a promising clinical strategy for overcoming drug resistance, particularly in advanced or refractory bladder cancer.
Ferroptosis—an iron-dependent, lipid peroxidation-driven form of regulated cell death—is closely associated with bladder cancer progression [48]. Mechanistically, intracellular labile iron (Fe²⁺) catalyzes ROS generation via the Fenton reaction, oxidizing polyunsaturated fatty acids (PUFAs) in cell membranes. This initiates lipid peroxidation cascades, increasing membrane fragility and triggering cell demise. Moreover, impaired glutathione peroxidase 4 (GPX4) activity—a key antioxidant enzyme in the glutathione system—reduces antioxidant capacity, leading to lethal ROS accumulation [49, 50]. Research indicates that expression levels of ferroptosis suppressor genes, such as GPX4 and SLC7A11, are negatively correlated with tumor malignancy in bladder cancer tissue. Erastin is a classic ferroptosis inducer that inhibits the activity of the key intracellular transporter SLC7A11, thereby significantly reducing the cell's glutathione (GSH) synthesis capacity, triggering lipid peroxidation and ultimately leading to ferroptosis [51, 53]. Given ferroptosis plays a critical role in bladder cancer initiation, progression, and therapeutic resistance, its induction has emerged as a promising strategy to trigger cancer cell death, particularly in aggressive malignancies resistant to conventional therapies [54]. Therefore, therapeutic strategies targeting ferroptosis offer novel avenues for precision medicine in bladder cancer.
Substances released during apoptosis and ferroptosis can profoundly alter the composition and function of the TME. Specifically, when ferroptosis occurs in bladder cancer cells, it releases damage-associated molecular patterns (DAMPs), including ATP, high-mobility group box 1 (HMGB1), calreticulin (CRT), and pro-inflammatory cytokines. Notably, HMGB1 can bind receptors on dendritic cells (DCs) within the TME, promoting DC maturation. Mature DCs efficiently engulf, process, and present tumor antigens, thereby facilitating T cell priming and ultimately enhancing tumor cell killing while inhibiting tumor growth [55, 56]. In contrast, apoptotic cells also release diverse signaling molecules that influence the TME. Apoptotic signaling may affect intratumoral cell competition by stimulating proliferation of neighboring cells and exerting paracrine effects. Furthermore, apoptosis promotes the recruitment of immunosuppressive cells—such as regulatory T cells (Tregs), M2-polarized macrophages, and myeloid-derived suppressor cells (MDSCs)—which can contribute to cancer progression and therapy resistance [57]. Collectively, these findings demonstrate that ferroptosis, apoptosis, and the TME are not isolated entities in bladder cancer pathogenesis. Instead, they interact through intricate molecular mechanisms to co-regulate tumor initiation, progression, metastasis, and therapeutic responses, forming a dynamic, interconnected regulatory network.
4.2.2 Clinical Translation of Cell Death Mechanisms
Translating cell death mechanisms into clinical strategies represents a promising frontier in BC treatment. BC, characterized by high mutational burden, is particularly amenable to immunotherapy, especially checkpoint inhibitors targeting PD-1 or its ligand PD-L1. The interaction between programmed death-ligand 1 (PD-L1) on tumor cells and programmed cell death protein 1 (PD-1) on immune cells critically enables tumor immune evasion. Blocking this interaction with immune checkpoint inhibitors (ICIs) provides a potent strategy for targeted cancer immunotherapy [58, 59]. Notably, both apoptosis and ferroptosis—when accompanied by intact damage-associated molecular pattern (DAMP) release—can trigger robust immunogenicity. Chemotherapy-induced immunogenic cell death (ICD), which involves DAMP release (e.g., calreticulin, ATP, HMGB1), exemplifies this synergy and enhances immune activation when combined with ICIs [60]. Consequently, combining ferroptosis inducers with ICIs demonstrates synergistic efficacy by enhancing anti-tumor immunity and overcoming immune evasion. Simultaneously, PDT has emerged as an attractive modality in cancer treatment. PDT induces apoptosis or necrosis primarily through ROS-mediated damage to cellular components (e.g., proteins, lipids, nucleic acids) [61]. Crucially, for NMIBC—which predominantly affects the bladder mucosa—intravesical PDT enables precise targeting. Following instillation of a photosensitizer, laser activation at tumor-specific wavelengths selectively eradicates mucosal lesions while minimizing damage to the muscularis propria and urethra, thereby reducing recurrence rates [62]. Importantly, PDT-generated ROS concurrently trigger multiple cell death pathways: high-concentration ROS directly disrupt mitochondrial membranes to initiate apoptosis, while lipid membrane oxidation induces ferroptosis [63, 64]. Collectively, treatment strategies integrating cell death mechanisms (e.g., with IT or PDT) are gaining significant traction in BC management, creating novel therapeutic possibilities.
4.3 Limitations
This study employed bibliometric methods to analyze global research trends and emerging frontiers in bladder cancer cell death mechanisms. Notably, several limitations should be acknowledged. First, our analysis relied exclusively on English-language articles and reviews retrieved from WoSCC. This single-database approach may exclude relevant studies indexed in other databases (e.g., Scopus, PubMed) or published in other languages, potentially limiting the comprehensiveness of our findings. Future studies should integrate data from multiple databases to ensure more comprehensive coverage. Second, publication timelines inherently affect citation metrics; consequently, recent high-impact publications may be underrepresented due to their lower cumulative citation counts. Furthermore, our analysis did not distinguish between bladder cancer subtypes—such as urothelial carcinoma UC and non-urothelial carcinoma—or between MIBC and NMIBC. This broad categorization may obscure subtype-specific research trends. Although these limitations exist, the trends and insights elucidated in this study establish a solid foundation for understanding the current research landscape and guiding future investigations in this rapidly evolving field.
5 Conclusion
This bibliometric analysis comprehensively delineates the research landscape of bladder cancer cell death mechanisms from 1991 to 2024, identifying global trends, collaborative networks, and emerging frontiers. Key research foci include apoptosis regulation, ferroptosis pathways, immunotherapy applications, photodynamic therapy, and nanomedicine integration. Critically, our findings underscore the pivotal role of targeting cell death mechanisms to overcome therapy resistance and advance precision oncology in bladder cancer. Future investigations should prioritize exploring the interaction between cell death pathways and the tumor microenvironment, deciphering resistance mechanisms, and formulating targeted therapeutic strategies. These directions are pivotal for driving advancements in bladder cancer treatment and improving patient outcomes. Although constrained by acknowledged limitations, this study provides valuable insights into the evolving research trajectory and translational potential of targeting cell death mechanisms for bladder cancer management.
Abbreviation
WoSCC
Web of Science Core Collection
IT
immunotherapy
PDT
photodynamic therapy
BC
Bladder cancer
UC
Urothelial carcinoma
NMIBC
non-muscle-invasive bladder cancer
MIBC
muscle-invasive bladder cancer
TURBT
transurethral resection of bladder tumor
BCG
Bacillus Calmette-Guérin
PCD
programmed cell death
TME
tumor microenvironment
BCL-2
B-cell lymphoma 2
PUFAs
polyunsaturated fatty acids
GPX4
glutathione peroxidase 4
GSH
glutathione
DAMPs
damage-associated molecular patterns
HMGB1
high-mobility group box 1
DCs
dendritic cells
Tregs
T cells
MDSCs
myeloid-derived suppressor cells
PD-L1
programmed death-ligand 1
PD-1
programmed cell death protein 1
ICIs
immune checkpoint inhibitors
DAMP
damage-associated molecular pattern
ICD
immunogenic cell death
ROS
reactive oxygen species
Declarations
The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.
A
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. Key Research and Development Program of Ningxia Hui Autonomous Region (2022BEG03133); Science and Technology Benefiting the People Project of Ningxia Hui Autonomous Region (2024CMG03004); Natural Science Foundation Project of Ningxia (2023AAC02076); Science and Technology Benefiting the People Project of Ningxia Hui Autonomous Region (2022CMG03030).
Ethics, Consent to Participate, and Consent to Publish declarations: not applicable.
A
Author Contribution
Z.C.: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft.Y.C: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft.N.F.: Writing – original draft, Writing – review & editing. F.F: Formal analysis, Investigation, Methodology, Resources, Software, Writing – review & editing. S.S: Formal analysis, Investigation, Methodology, Resources, Software, Writing – review & editing. H.W: Formal analysis, Investigation, Methodology, Resources, Software, Writing – review & editing. C.X: Funding acquisition, Project administration, Supervision, Writing – review & editing.
A
Data Availability
The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.
References
1.
Barnaba D, Franzese Canonico M, Helmer-Citterich M, Gandellini P, Melino G, Smirnov A, et al. LEADR, a p63 target, dampens interferon signalling in bladder cancer. Cell Death Discov. 2025;11(1):264. 10.1038/s41420-025-02546-1. PMID: 40461454; PMCID: PMC12134291.
2.
Zhang W, Guo G, Li X, Lin J, Zheng Z, Huang P, et al. Med (Baltim). 2024;103(43):e40289. PMID: 39470484; PMCID: PMC11521070. A bibliometric analysis of bladder cancer and microRNA research: Trends and advances from 2008 to 2022.
3.
Shao B, Wu K, Wan S, Sun P, Zuo Y, Xiao L, et al. Prediction of future research trends in bladder urothelial carcinoma: Bibliometric analysis. Med (Baltim). 2024;103(7):e37176. 10.1097/MD.0000000000037176. PMID: 38363885; PMCID: PMC10869062.
4.
Adan MM, Mao X, Ding L, Abdullahi KM, Li G. Efficacy and safety of BCG and immune checkpoint inhibitors in non-muscle invasive bladder cancer: A meta-analysis with exploratory chemotherapy comparisons. Oncol Lett. 2025;30(1):348. 10.3892/ol.2025.15094. PMID: 40438876; PMCID: PMC12117413.
5.
Yu W, Yao D, Ma X, Hou J, Tian J. A novel efferocytosis-related gene signature for predicting prognosis and therapeutic response in bladder cancer. Sci Rep. 2025;15(1):19912. 10.1038/s41598-025-04037-w. PMID: 40481075; PMCID: PMC12144162.
6.
Chen X, He F, Zhang W, Fu Y, Cao Z. Emerging trends of BCG immunotherapy for bladder cancer in last decade: a bibliometric and visualization analysis. Front Oncol. 2023;13:1092969. 10.3389/fonc.2023.1092969. PMID: 37124495; PMCID: PMC10140368.
7.
Hu J, Yan L, Liu J, Chen M, Liu P, Deng D, et al. Efficacy and biomarker analysis of neoadjuvant disitamab vedotin (RC48-ADC) combined immunotherapy in patients with muscle-invasive bladder cancer: A multi-center real-world study. Imeta. 2025;4(3):e70033. 10.1002/imt2.70033. PMID: 40469503; PMCID: PMC12130573.
8.
Zhao K, Xu G, Jin J, Peng C, Chen J, Li Y, et al. Integrated prognostic assessment of apoptosis and chemotherapy related gene in bladder cancer: a prognostic signature. Discov Oncol. 2025;16(1):718. 10.1007/s12672-025-02581-5. PMID: 40348840; PMCID: PMC12065698.
9.
Li P, Yang X, Liu Q, Zhang H, Luo Z. Bladder cancer biomarker analysis and drugtarget prediction based on pyroptosis-related genes. Discov Oncol. 2025;16(1):924. 10.1007/s12672-025-02754-2. PMID: 40415077; PMCID: PMC12104127.
10.
Xie X, He H, Zhang N, Wang X, Rui W, Xu D, et al. DDR1 Targeting HOXA6 Facilitates Bladder Cancer Progression via Inhibiting Ferroptosis. J Cell Mol Med. 2025;29(6):e70410. 10.1111/jcmm.70410. PMID: 40105492; PMCID: PMC11921465.
11.
Huang Y, Liao C, Shen Z, Zou Y, Xie W, Gan Q, et al. A bibliometric insight into neoadjuvant chemotherapy in bladder cancer: trends, collaborations, and future avenues. Front Immunol. 2024;15:1297542. 10.3389/fimmu.2024.1297542. PMID: 38444854; PMCID: PMC10912866.
12.
Jia X, He L, Chang Y, Li J, Wang J, Zhang X, et al. Research Trends and Developments in Nanomaterials for Rheumatoid Arthritis: A Comprehensive Bibliometric Analysis. Drug Des Devel Ther. 2025;19:4355–71. PMID: 40453210; PMCID: PMC12126755.
13.
Cancer Genome Atlas Research Network. Comprehensive molecular characterization of urothelial bladder carcinoma. Nature. 2014;507(7492):315 – 22. doi: 10.1038/nature12965. Epub 2014 Jan 29. PMID: 24476821; PMCID: PMC3962515.
14.
Bellmunt J, de Wit R, Vaughn DJ, Fradet Y, Lee JL, Fong L, et al. KEYNOTE-045 Investigators. Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma. N Engl J Med. 2017;376(11):1015–26. 10.1056/NEJMoa1613683. Epub 2017 Feb 17. PMID: 28212060; PMCID: PMC5635424.
15.
Chang SS, Re. Atezolizumab in Patients with Locally Advanced and Metastatic Urothelial Carcinoma Who Have Progressed following Treatment with Platinum-Based Chemotherapy: A Single-Arm, Multicentre, Phase 2 Trial. J Urol. 2016;196(6):1637–8. Epub 2016 Sep 14. PMID: 27845104.
16.
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209–249. doi: 10.3322/caac.21660. Epub 2021 Feb 4. PMID: 33538338.
17.
Lenis AT, Lec PM, Chamie K, Mshs MD, Bladder Cancer. A Review. JAMA. 2020;324(19):1980–1991. 10.1001/jama.2020.17598. PMID: 33201207.
18.
Patel VG, Oh WK, Galsky MD. Treatment of muscle-invasive and advanced bladder cancer in 2020. CA Cancer J Clin. 2020;70(5):404–23. Epub 2020 Aug 7. PMID: 32767764.
19.
Tran L, Xiao JF, Agarwal N, Duex JE, Theodorescu D. Advances in bladder cancer biology and therapy. Nat Rev Cancer. 2021;21(2):104–21. 10.1038/s41568-020-00313-1. Epub 2020 Dec 2. PMID: 33268841; PMCID: PMC10112195.
20.
Dobruch J, Oszczudłowski M. Bladder Cancer: Current Challenges and Future Directions. Med (Kaunas). 2021;57(8):749. 10.3390/medicina57080749. PMID: 34440955; PMCID: PMC8402079.
21.
Balar AV, Galsky MD, Rosenberg JE, Powles T, Petrylak DP, Bellmunt J et al. IMvigor210 Study Group. Atezolizumab as first-line treatment in cisplatin-ineligible patients with locally advanced and metastatic urothelial carcinoma: a single-arm, multicentre, phase 2 trial. Lancet. 2017;389(10064):67–76. doi: 10.1016/S0140-6736(16)32455-2. Epub 2016 Dec 8. Erratum in: Lancet. 2017;390(10097):848. 10.1016/S0140-6736(17)32213-4. PMID: 27939400; PMCID: PMC5568632.
22.
Bellmunt J, de Wit R, Vaughn DJ, Fradet Y, Lee JL, Fong L, et al. KEYNOTE-045 Investigators. Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma. N Engl J Med. 2017;376(11):1015–26. 10.1056/NEJMoa1613683. Epub 2017 Feb 17. PMID: 28212060; PMCID: PMC5635424.
23.
Sharma P, Retz M, Siefker-Radtke A, Baron A, Necchi A, Bedke J et al. Nivolumab in metastatic urothelial carcinoma after platinum therapy (CheckMate 275): a multicentre, single-arm, phase 2 trial. Lancet Oncol. 2017;18(3):312–322. doi: 10.1016/S1470-2045(17)30065-7. Epub 2017 Jan 26. PMID: 28131785.
24.
Peng C, Kuang L, Zhao J, Ross AE, Wang Z, Ciolino JB. Bibliometric and visualized analysis of ocular drug delivery from 2001 to 2020. J Control Release. 2022;345:625–45. 10.1016/j.jconrel.2022.03.031. Epub 2022 Mar 20. PMID: 35321827.
25.
Witjes JA, Compérat E, Cowan NC, De Santis M, Gakis G, Lebret T, et al. European Association of Urology. EAU guidelines on muscle-invasive and metastatic bladder cancer: summary of the 2013 guidelines. Eur Urol. 2014;65(4):778–92. Epub 2013 Dec 12. PMID: 24373477.
26.
Wang Y, He M, Li J, Li L. Immunotherapeutic strategies for invasive bladder cancer: a comprehensive review. Front Immunol. 2025;16:1591379. 10.3389/fimmu.2025.1591379. PMID: 40370454; PMCID: PMC12075300.
27.
Zhanga Y, Wang X, Li J, Zhang P, Hu H. Global clinical trial landscape and therapeutic trends in bladder cancer: a systematic analysis. Int J Surg. 2025 Jun;12. 10.1097/JS9.0000000000002662. Epub ahead of print. PMID: 40503775.
28.
Yan X, Li Q, Xiao S, Chen J, Song W. Sulfasalazine-loaded nanoframes: A new frontier in bladder cancer therapy through ferroptosis induction. Colloids Surf B Biointerfaces. 2025;246:114394. 10.1016/j.colsurfb.2024.114394. Epub 2024 Nov 22. PMID: 39603199.
29.
Sun Y, Berleth N, Wu W, Schlütermann D, Deitersen J, Stuhldreier F, et al. Fin56-induced ferroptosis is supported by autophagy-mediated GPX4 degradation and functions synergistically with mTOR inhibition to kill bladder cancer cells. Cell Death Dis. 2021;12(11):1028. 10.1038/s41419-021-04306-2. PMID: 34716292; PMCID: PMC8556316.
30.
Chiang CH, Yang JD, Liu WL, Chang FY, Yang CJ, Hsu KW, et al. Mechanistic insights of lenvatinib: enhancing cisplatin sensitivity, inducing apoptosis, and suppressing metastasis in bladder cancer cells through EGFR/ERK/P38/NF-κB signaling inactivation. Cancer Cell Int. 2025;25(1):47. 10.1186/s12935-024-03597-7. PMID: 39955573; PMCID: PMC11829490.
31.
Shi Z, Bai H, Wu J, Miao X, Gao J, Xu X, C). Acceptor Engineering Produces Ultrafast Nonradiative Decay in NIR-II Aza-BODIPY Nanoparticles for Efficient Osteosarcoma Photothermal Therapy via Concurrent Apoptosis and Pyroptosis. Research (Wash D. 2023;6:0169. 10.34133/research.0169. PMID: 37342631; PMCID: PMC10278946.
32.
Cai J, Xu X, Saw PE. Nanomedicine targeting ferroptosis to overcome anticancer therapeutic resistance. Sci China Life Sci. 2024;67(1):19–40. 10.1007/s11427-022-2340-4. Epub 2023 Sep 15. PMID: 37728804.
33.
Kalemoglu E, Jani Y, Canaslan K, Bilen MA. The role of immunotherapy in targeting tumor microenvironment in genitourinary cancers. Front Immunol. 2025;16:1506278. 10.3389/fimmu.2025.1506278. PMID: 40260236; PMCID: PMC12009843.
34.
Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646 – 74. 10.1016/j.cell.2011.02.013. PMID: 21376230.
35.
Jacobs BL, Lee CT, Montie JE. Bladder cancer in 2010: how far have we come? CA Cancer J Clin. 2010 Jul-Aug;60(4):244–72. Epub 2010 Jun 21. PMID: 20566675.
36.
Chang SS, Re. Atezolizumab in Patients with Locally Advanced and Metastatic Urothelial Carcinoma Who Have Progressed following Treatment with Platinum-Based Chemotherapy: A Single-Arm, Multicentre, Phase 2 Trial. J Urol. 2016;196(6):1637–8. Epub 2016 Sep 14. PMID: 27845104.
37.
Byun SJ, Kim JH, Oh YK, Kim BH. Concurrent chemoradiotherapy improves survival outcome in muscle-invasive bladder cancer. Radiat Oncol J. 2015;33(4):294–300. 10.3857/roj.2015.33.4.294. Epub 2015 Dec 30. PMID: 26756029; PMCID: PMC4707212.
38.
Chin YC, Yang LX, Hsu FT, Hsu CW, Chang TW, Chen HY, et al. Iron oxide@chlorophyll clustered nanoparticles eliminate bladder cancer by photodynamic immunotherapy-initiated ferroptosis and immunostimulation. J Nanobiotechnol. 2022;20(1):373. 10.1186/s12951-022-01575-7. PMID: 35953837; PMCID: PMC9367122.
39.
Fan Z, Liu Y, Wang X, Xu Y, Huang R, Shi W, et al. APOL6 predicts immunotherapy efficacy of bladder cancer by ferroptosis. BMC Cancer. 2024;24(1):1046. 10.1186/s12885-024-12820-7. PMID: 39187773; PMCID: PMC11346016.
40.
Wang Y, Zhang Q. Leveraging programmed cell death signature to predict clinical outcome and immunotherapy benefits in postoperative bladder cancer. Sci Rep. 2024;14(1):22976. 10.1038/s41598-024-73571-w. PMID: 39363008; PMCID: PMC11450150.
41.
Yang J, Zhang L, Zhu B, Wu H, Peng M. Immunogenomic profiles and therapeutic options of the pan-programmed cell death-related lncRNA signature for patients with bladder cancer. Sci Rep. 2024;14(1):18500. 10.1038/s41598-024-68859-w. PMID: 39122807; PMCID: PMC11316077.
42.
Zhou Z, Zou L, Guan Y, Jiang L, Liu Y, Zhang X, et al. Survivin as a potential biomarker in the diagnosis of bladder cancer: A systematic review and meta-analysis. Urol Oncol. 2024;42(5):133–43. Epub 2024 Feb 28. PMID: 38418270.
43.
Deng C, Li S, Liu Y, Bao W, Xu C, Zheng W, et al. Split-Cas9-based targeted gene editing and nanobody-mediated proteolysis-targeting chimeras optogenetically coordinated regulation of Survivin to control the fate of cancer cells. Clin Transl Med. 2023;13(8):e1382. 10.1002/ctm2.1382. PMID: 37620295; PMCID: PMC10449816.
44.
Zhou Z, Zou L, Guan Y, Jiang L, Liu Y, Zhang X, et al. Survivin as a potential biomarker in the diagnosis of bladder cancer: A systematic review and meta-analysis. Urol Oncol. 2024;42(5):133–43. Epub 2024 Feb 28. PMID: 38418270.
45.
Kawasaki JAI, Pinheiro LCL, da Silva IM, Miqueloto CA, de Oliveira KB, Ribeiro DL, et al. BCL-2 and γ-H2AX immunostaining profile in urothelial bladder cancer prognosis. Pathol Res Pract. 2024;264:155680. 10.1016/j.prp.2024.155680. Epub 2024 Oct 26. PMID: 39488989.
46.
Ebner B, Eismann L, Hermans J, Kidess M, Pyrgidis N, Semmler M, et al. Prognostic impact of combined loss of RB1, p53 and p21 in muscle-invasive bladder cancer. Pathol Res Pract. 2025;270:155960. 10.1016/j.prp.2025.155960. Epub 2025 Apr 8. PMID: 40215668.
47.
Varchulova Novakova Z, Harsanyi S, Bevizova K, Kuniakova M, Schwarzova L, Trebaticky B, et al. Expression of BCL2, TP53, FOXA1, and GATA3 in pTa bladder cancer recurrence. Bratisl Lek Listy. 2024;125(5):311–7. doi: 10.4149/BLL_2024_46. PMID: 38624056.
48.
Tang D, Chen X, Kang R, Kroemer G. Ferroptosis: molecular mechanisms and health implications. Cell Res. 2021;31(2):107–25. 10.1038/s41422-020-00441-1. Epub 2020 Dec 2. PMID: 33268902; PMCID: PMC8026611.
49.
Xie X, He H, Zhang N, Wang X, Rui W, Xu D, et al. DDR1 Targeting HOXA6 Facilitates Bladder Cancer Progression via Inhibiting Ferroptosis. J Cell Mol Med. 2025;29(6):e70410. 10.1111/jcmm.70410. PMID: 40105492; PMCID: PMC11921465.
50.
Dai X, Yu K, Wang H, Zhong R, Zhang Z, Hou Y. Construction and multiple validations of a robust ferroptosis-related prognostic model in bladder cancer: A comprehensive study. Med (Baltim). 2024;103(42):e40133. PMID: 39432593; PMCID: PMC11495766.
51.
Zeng F, Lan Y, Wang N, Huang X, Zhou Q, Wang Y, Ferroptosis. A new therapeutic target for bladder cancer. Front Pharmacol. 2022;13:1043283. 10.3389/fphar.2022.1043283. PMID: 36408230; PMCID: PMC9669411.
A
52.
Gui CP, Li JY, Fu LM, Luo CG, Zhang C, Tang YM, et al. Identification of mRNA vaccines and conserved ferroptosis related immune landscape for individual precision treatment in bladder cancer. J Big Data. 2022;9(1):88. 10.1186/s40537-022-00641-z. Epub 2022 Jul 7. PMID: 35818395; PMCID: PMC9261131.
53.
Zhao S, Li P, Wu W, Wang Q, Qian B, Li X, et al. Roles of ferroptosis in urologic malignancies. Cancer Cell Int. 2021;21(1):676. 10.1186/s12935-021-02264-5. PMID: 34922551; PMCID: PMC8684233.
54.
Wang X, Xu Z, Lin Z, Wu D, Tang Y, Pei Z, et al. Molecular subtypes based on ferroptosis-related genes and tumor microenvironment infiltration characterization in small cell lung cancer. Front Immunol. 2025;16:1574434. PMID: 40433367; PMCID: PMC12106331.
55.
Efimova I, Catanzaro E, Van der Meeren L, Turubanova VD, Hammad H, Mishchenko TA, Vedunova MV, et al. Vaccination with early ferroptotic cancer cells induces efficient antitumor immunity. J Immunother Cancer. 2020;8(2):e001369. 10.1136/jitc-2020-001369. PMID: 33188036; PMCID: PMC7668384.
56.
Bhowmick S, Banerjee S, Shridhar V, Mondal S. Reprogrammed immuno-metabolic environment of cancer: the driving force of ferroptosis resistance. Mol Cancer. 2025;24(1):161. 10.1186/s12943-025-02337-3. PMID: 40462094; PMCID: PMC12131403.
57.
Dalseno D, Gajic N, Flanagan L, Tait SWG. Cell death and cancer: Metabolic interconnections. Cell Rep. 2025;44(6):115804. 10.1016/j.celrep.2025.115804. Epub 2025 Jun 7. PMID: 40489330; PMCID: PMC12187904.
58.
Wang Z, Zhang B, Zhang C, Ren S, Wang W, Wang Y, et al. Effect of region on the Outcome of Patients Receiving PD-1/PD-L1 Inhibitors for Advanced Cancer. Int Immunopharmacol. 2019;74:105709. 10.1016/j.intimp.2019.105709. Epub 2019 Jul 2. PMID: 31276976.
59.
Zhu Z, Jin Y, Zhou J, Chen F, Chen M, Gao Z, et al. PD1/PD-L1 blockade in clear cell renal cell carcinoma: mechanistic insights, clinical efficacy, and future perspectives. Mol Cancer. 2024;23(1):146. 10.1186/s12943-024-02059-y. PMID: 39014460; PMCID: PMC11251344.
60.
Li C, Qi X, Yan M. Chemotherapy-induced immunogenic cell death in combination with ICIs: a brief review of mechanisms, clinical insights, and therapeutic implications. Front Pharmacol. 2025;16:1572195. 10.3389/fphar.2025.1572195. PMID: 40538545; PMCID: PMC12176807.
61.
Hu X, Zhang YS, Liu YC, Wang N, Zeng XT, Zhang LL. Emerging photodynamic/sonodynamic therapies for urological cancers: progress and challenges. J Nanobiotechnol. 2022;20(1):437. 10.1186/s12951-022-01637-w. PMID: 36195918; PMCID: PMC9531473.
62.
Kubrak T, Karakuła M, Czop M, Kawczyk-Krupka A, Aebisher D. Advances in Management of Bladder Cancer-The Role of Photodynamic Therapy. Molecules. 2022;27(3):731. 10.3390/molecules27030731. PMID: 35163996; PMCID: PMC8838614.
63.
Reinhold A, Glasow A, Nürnberger S, Weimann A, Telemann L, Stolzenburg JU, et al. Ionizing radiation and photodynamic therapy lead to multimodal tumor cell death, synergistic cytotoxicity and immune cell invasion in human bladder cancer organoids. Photodiagnosis Photodyn Ther. 2025;51:104459. Epub 2024 Dec 31. PMID: 39746560.
64.
Jones C, Martinez-Alonso M, Gagg H, Kirby L, Weinstein JA, Bryant HE. Photostable Iridium(III) Cyclometallated Complex is an Efficient Photosensitizer for Killing Multiple Cancer Cell Lines and 3D Models under Low Doses of Visible Light. J Med Chem. 2024;67(18):16157–64. 10.1021/acs.jmedchem.4c00869. Epub 2024 Sep 4. PMID: 39231957; PMCID: PMC11440503.
Total words in MS: 5908
Total words in Title: 11
Total words in Abstract: 170
Total Keyword count: 7
Total Images in MS: 9
Total Tables in MS: 7
Total Reference count: 64