Evidence map›Paper›PMID 32339189›Full record

ArticlePloS one2020

Optimal PD-L1-high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy.

Magdalena Zajac, Jiabu Ye, Pralay Mukhopadhyay, Xiaoping Jin, Yong Ben, Joyce Antal, Ashok K Gupta, Marlon C Rebelatto, J Andrew Williams, Jill Walker

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01693562 (A Phase 1/2 Study to Evaluate the Safety, Tolerability, and Pharmacokinetics of MEDI4736 in Subjects With Advanced Solid Tumors), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01693562 phase1 / phase2completednot on this map

A Phase 1/2 Study to Evaluate the Safety, Tolerability, and Pharmacokinetics of MEDI4736 in Subjects With Advanced Solid Tumors

TypeinterventionalSponsorMedImmune LLCRan2012 to 2020Enrolled1,022ConditionsAdvanced Solid TumorsArmsMEDI4736
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 22 citations in OpenAlex.

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  11. An integrative pan-cancer analysis of COPB1 based on data mining.Cancer biomarkers : section A of Disease markers · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Magdalena ZajacAstraZeneca, Cambridge, England, United Kingdom.
Jiabu YeAstraZeneca, Gaithersburg, Maryland, United States of America.
Pralay MukhopadhyayAstraZeneca, Gaithersburg, Maryland, United States of America.
Xiaoping JinMedImmune, Gaithersburg, Maryland, United States of America.
Yong BenAstraZeneca, Gaithersburg, Maryland, United States of America.
Joyce AntalMedImmune, Gaithersburg, Maryland, United States of America.
Ashok K GuptaMedImmune, Gaithersburg, Maryland, United States of America.
Marlon C RebelattoMedImmune, Gaithersburg, Maryland, United States of America.
J Andrew WilliamsAstraZeneca, Cambridge, England, United Kingdom.
Jill WalkerAstraZeneca, Cambridge, England, United Kingdom.ORCID 0000-0001-7943-583X
AstraZeneca (United Kingdom) · GBAstraZeneca (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have indicated that programmed death ligand 1 (PD-L1) expression may have utility as a predictive biomarker in patients with advanced/metastatic urothelial carcinoma (UC). Different immunohistochemical (IHC) assays are in development to assess PD-L1 expression on tumor cells (TCs) and tumor-infiltrating immune cells (ICs).

methodsIn this post hoc analysis of the single-arm, phase 1/2 Study 1108 (NCT01693562), PD-L1 expression was evaluated from tumor samples obtained prior to second-line treatment with durvalumab in patients with advanced/metastatic UC using the VENTANA (SP263) IHC Assay. The primary objective was to determine whether the TC ≥ 25%/IC ≥ 25% algorithm (i.e., cutoff of ≥ 25% TC or ≥ 25% IC with PD-L1 staining at any intensity above background) was optimal for predicting response to durvalumab. PD-L1 expression data were available from 188 patients.

resultsAfter a median follow-up of 15.8 and 14.6 months, higher PD-L1 expression was associated with longer overall survival (OS) and progression-free survival (PFS), respectively, with significant separation in survival curves for PD-L1-high and-low expressing patients for the TC ≥ 25%/IC ≥ 25% cutoff (median OS: 19.8 vs 4.8 months; hazard ratio: 0.46; 90% confidence interval: 0.33, 0.639). OS was also prolonged for PD-L1-high compared with-low patients when samples were categorized using TC/IC combined positive score ≥ 10 and IC≥ 5% cutoffs. In multivariate analysis, IC but not TC PD-L1 expression was significantly associated with OS, PFS, and objective response rate (P < 0.001 for each), although interaction analysis showed similar directionality of benefit for ICs and TCs.

conclusionsThese findings support the utility of a combined TC/IC algorithm for predicting response to durvalumab in patients with UC, with the TC≥ 25%/IC≥ 25% cutoff optimal when used with the VENTANA (SP263) IHC Assay.

Indexed as

AdultAlgorithmsAntibodies, MonoclonalB7-H1 AntigenFemaleHumansKaplan-Meier EstimateMaleMiddle AgedProgression-Free SurvivalProportional Hazards ModelsTreatment OutcomeUrologic NeoplasmsAntibodies, MonoclonalB7-H1 AntigenCD274 protein, humandurvalumab

Identifiers

PMID32339189
PMCPMC7185603
OpenAlexW3019727209

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.