Evidence map›Paper›PMID 27496650›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2016

Relationship between Overall Survival and Response or Progression-Free Survival in Advanced Non-Small Cell Lung Cancer Patients Treated with Anti-PD-1/PD-L1 Antibodies.

Takehito Shukuya, Keita Mori, Joseph M Amann, Erin M Bertino, Gregory A Otterson, Peter G Shields, Satoshi Morita, David P Carbone

Abstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Circulating Tumor DNA Monitoring on Chemo-immunotherapy for Risk Stratification in Advanced Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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  16. Discovery of Biomarkers of Resistance to Immune Checkpoint Blockade in NSCLC Using High-Plex Digital Spatial Profiling.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2022
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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

8 authors.

Takehito ShukuyaDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Keita MoriClinical Trial Coordination Office, Shizuoka Cancer Center, Nagaizumi-cho, Suntou-gun, Shizuoka, Japan.
Joseph M AmannDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Erin M BertinoDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Gregory A OttersonDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Peter G ShieldsDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Satoshi MoritaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
David P CarboneDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio. Electronic address: david.carbone@osumc.edu.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
ECOG-ACRIN Thoracic Malignancies Integrated Translational Science CenterUG1CA233259 · NCI · EMORY UNIVERSITY · PI CARBONE, DAVID P., LEAL, TICIANA · 2019 to 2025
$5.1M
ECOG-ACRIN Thoracic Malignancies Integrated Translational Science CenterU10CA180950 · NCI · EMORY UNIVERSITY · PI RAMALINGAM, SURESH S · 2014 to 2018
$2.9M
NCI NIH HHS P30 CA016058NCI NIH HHS U10 CA180950NCI NIH HHS UG1 CA233259
6 · The paper itself

Abstract

introductionAlternative predictive end points for overall survival (OS), such as tumor response and progression-free survival (PFS), are useful in the early detection of drug efficacy; however, they have not been fully investigated in patients with advanced NSCLC treated with anti-programmed death protein 1 (PD-1)/programmed death ligand 1 (PD-L1) antibodies.

methodsIn a systematic review of the reported prospective clinical trials, data for response rate, median PFS, and median OS were extracted from 12 arms in 10 reported clinical trials using anti-PD-1/PD-L1 antibody, and their correlation was investigated. In a retrospective analysis at our institution, OS was compared according to tumor response on 5- to 9-week computed tomography scans and status of being progression-free at 8, 16, and 24 weeks by landmark analysis in 71 patients with advanced NSCLC treated with anti-PD-1/PD-L1 antibodies between 2013 and 2015.

resultsIn a systematic review, moderate correlations between median OS and median PFS (p = 0.120, r = 0.473) and between median OS and response rate (p = 0.141, r = 0.452) were identified using the Spearman correlation coefficient, although these correlations were not statistically significant. In a retrospective analysis of patients treated at our institution, disease control (partial response [PR]/stable disease versus progressive disease/not evaluable), and progression-free status at 8, 16, and 24 weeks significantly predicted OS (Cox proportional hazards model, PR/stable disease versus progressive disease/not evaluable, p = 0.0104, HR = 3.041; 8-week progression-free yes versus no, p = 0.0183, HR = 2.684; 16-week progression-free yes versus no, p = 0.0036, HR = 4.009; and 24-week progression-free yes versus no, p = 0.0002, HR = 12.726).

conclusionsBoth disease control (PR plus stable disease status) and landmark progression-free survival were correlated with OS, with the longer interval landmark PFS being the best predictor of survival in patients with NSCLC treated with anti-PD-1/PD-L1 antibodies.

Indexed as

AdultAgedAged, 80 and overAntibodies, MonoclonalB7-H1 AntigenCarcinoma, Non-Small-Cell LungDisease-Free SurvivalFemaleHumansLung NeoplasmsMaleMiddle AgedProspective StudiesRetrospective StudiesSurvival RateTreatment OutcomeAntibodies, MonoclonalB7-H1 AntigenCD274 protein, humanAlternative end pointAnti–PD-1 antibodyAnti–PD-L1 antibodyImmune checkpoint inhibitorNon–small cell lung cancerOverall survival

Identifiers

PMID27496650
PMCPMC7086375

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.