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Abstract A008: Neoadjuvant nivolumab, gemcitabine and cisplatin in muscle-invasive bladder cancer: Study update

2019· article· en· W2912011158 on OpenAlexaff
Shilpa Gupta, Christopher Weight, Neeraj Agarwal, Sumati Gupta, Badrinath R. Konety, Ewan A. Gibb, Elai Davicioni, Bharat Thyagarajan, Guru Sonpavde

Bibliographic record

VenueCancer Immunology Research · 2019
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsGenome British Columbia
Fundersnot available
KeywordsCystectomyMedicineGemcitabineBladder cancerNivolumabOncologyInternal medicineCisplatinNeoadjuvant therapyChemotherapyUrologyLymph nodeCancerImmunotherapyBreast cancer

Abstract

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Abstract Background: Cisplatin-based neoadjuvant chemotherapy in muscle-invasive bladder cancer (MIBC) improves survival which correlates with pathologic response (PaR) at radical cystectomy (RC). Immunotherapy with checkpoint inhibitors has improved outcomes in advanced bladder cancer and immunotherapy is synergistic with chemotherapy. Our ongoing trial is aimed at studying the efficacy and safety of nivolumab (N)with gemcitabine-cisplatin (GC) as neoadjuvant therapy for MIBC (NCT03294304). Methods: This is a single-arm, multicenter phase II study for patients with MIBC eligible for neoadjuvant GC and planned for RC. Forty-one patients will be treated with N+ GC every 21 days for 4 treatment cycles over 12 weeks followed by RC. The primary endpoint is PaR. Key inclusion criteria are presence of MIBC (predominantly urothelial carcinoma) with clinical stage T2-T4a and N≤1 disease (solitary lymph node measuring < 2 cm) and M0 and deemed eligible for radical cystectomy, ECOG PS of 0 or 1, Cr Cl ≥ 50 ml/min, adequate organ function, eligible to receive GC and no contraindications to receiving N. Patients will receive C (70mg/m2) IV on D1, G (1000mg/m2) on D1,D8 and N (360 mg) IV on D8 every 21 days for 4 cycles followed by radical cystectomy within 6-8 weeks. Secondary objectives are to determine safety of combination of N+GC in pts with MIBC prior to RC and PFS. The correlative objectives include: 1) correlation of whole-genome sequencing (WGS) of the pre-treatment bladder cancer biopsy with PaR; 2) correlation of molecular subtypes of bladder cancer using Genomedx to evaluate whether addition of N alters the response to neoadjuvant GC; 3) correlation of PD-L1 expression in tumor tissue at baseline with PaR; 4) Nanostring pancan immune panel gene expression will be studied at baseline and at RC. At the time of submission of this abstract, 12/41 pts. have been enrolled and the combination has not resulted in any added toxicities or immune-related AEs so far. There were no delays in RC. PaR and correlative analysis is ongoing in enrolled pts. and further enrollment is ongoing. Citation Format: Shilpa Gupta, Christopher J. Weight, Neeraj Agarwal, Sumati Gupta, Badrinath Konety, Ewan Gibb, Elai Davicioni, Bharat Thyagarajan, Guru Sonpavde. Neoadjuvant nivolumab, gemcitabine and cisplatin in muscle-invasive bladder cancer: Study update [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr A008.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.053
GPT teacher head0.391
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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