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Record W4413013628 · doi:10.1016/j.euros.2025.07.010

Neoadjuvant Immunotherapy in Bladder Cancer: Ushering in a New Era of Treatment—A Systematic Review of Current Evidence

2025· article· en· W4413013628 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Urology Open Science · 2025
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversité LavalThunder Bay Regional Health Sciences Centre
Fundersnot available
KeywordsBladder cancerImmunotherapyMedicineCancer immunotherapyCurrent (fluid)OncologyCancerInternal medicineUrology

Abstract

fetched live from OpenAlex

Background and objective: Immune checkpoint inhibitors (ICIs), alone or with platinum-based chemotherapy, have increasingly been studied as neoadjuvant therapy for muscle-invasive bladder cancer (BC). We sought to evaluate the current evidence about neoadjuvant immunotherapy for BC. Methods: In this systematic review, conducted in October 2024, only prospective studies on neoadjuvant immunotherapy for BC were included. Extracted variables encompassed study design, clinical-pathological characteristics, perioperative outcomes, pathological complete response (pCR) rates, overall survival (OS), event-free survival, and immune-related (irAEs) and treatment-related (TRAEs) adverse events. Key findings and limitations: From 726 records, 35 studies met the inclusion criteria. The highest pCR rate observed was 54%, utilizing durvalumab. Perioperative chemoimmunotherapy with durvalumab plus cisplatin/gemcitabine showed greater OS than chemotherapy alone in the NIAGARA trial. The NEMIO trial achieved the highest 12-mo OS rate of 97%, using durvalumab in combination with tremelimumab and dose-dense methotrexate, vinblastine, doxorubicin, and cisplatin, followed by the AURA trial (95%) and the LCCC1520 trial (91%). At 24 mo, the NEBULA trial reported a 100% OS rate with three doses of atezolizumab, while PrECOG PrE0807 reached and OS rate of 89% with nivolumab and lirilumab. The highest rates of grade 3 and 4 irAEs were reported for nivolumab combined with ipilimumab (54%) and for durvalumab combined with tremelimumab (64%). The most common grade 3/4 irAEs were hepatitis (2-27%), kidney injury (2-100%), and skin rash (1.1-41%). Grade 3/4 TRAEs were comparable between the ICI and chemotherapy groups. Conclusions and clinical implications: Neoadjuvant immunotherapy for BC has shown promising efficacy and a manageable adverse event profile. However, financial toxicity, the absence of predictive biomarkers, and the risk of significant irAEs remain challenges. Patient summary: This study reviewed recent clinical trials that tested immunotherapy before surgery in patients with bladder cancer. The results suggest that a combination of immunotherapy and chemotherapy may improve outcomes and reduce the risk of cancer returning. These findings could help shape future treatment options for patients with muscle-invasive bladder cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.399
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it