Evidence map›Paper›PMID 36317227›Full record

ArticleThoracic cancer2022

Modifying factors of PD-L1 expression on tumor cells in advanced non-small-cell lung cancer.

Alejandro Avilés-Salas, Diana Flores-Estrada, Luis Lara-Mejía, Rodrigo Catalán, Graciela Cruz-Rico, Mario Orozco-Morales, David Heredia, Laura Bolaño-Guerra, Pamela Denisse Soberanis-Piña, Edgar Varela-Santoyo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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.

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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Alejandro Avilés-SalasThoracic Oncology Unit, Department of Pathology, Instituto Nacional de Cancerología, Mexico City, Mexico.
Diana Flores-EstradaThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.
Luis Lara-MejíaThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.ORCID 0000-0001-8101-4604
Rodrigo CatalánThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.
Graciela Cruz-RicoThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.
Mario Orozco-MoralesLaboratory of Personalized Medicine, Instituto Nacional de Cancerología, Mexico City, Mexico.
David HerediaThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.ORCID 0000-0003-3798-5950
Laura Bolaño-GuerraThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.
Pamela Denisse Soberanis-PiñaThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.ORCID 0000-0002-9955-1245
Edgar Varela-SantoyoThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.
Andrés F CardonaClinical and Translational Oncology Group, Fundación Santa Fe de Bogotá, Bogotá, Colombia.
Oscar ArrietaThoracic Oncology Unit, Department of Thoracic Oncology, Instituto Nacional de Cancerología, Mexico City, Mexico.ORCID 0000-0002-1164-3779
Instituto Nacional de Cancerología · MXFundación Santa Fe de Bogotá · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammed death ligand-1 (PD-L1) expression predicts immunotherapy utility in nononcogenic addictive lung adenocarcinoma (ADC). However, its reproducibility and reliability may be compromised outside clinical trials. This study aimed to evaluate factors associated with PD-L1 expression in lung ADC.

methodsThis observational study assessed 547 tumor samples with advanced lung ADC from January 2016 to December 2020 in a single cancer institution. Tumor samples were stained by at least one approved PD-L1 clone, SP263 (Ventana) or 22C3 (Dako), and stratified in tumor proportion score (TPS) <1%, 1-49%, or ≥50%.

resultsOf all the tumor samples, positive PD-L1 staining was higher in poorly differentiated tumors (67.3% vs. 32.7%, p < 0.001). Analytical factors associated with a PD-L1 high expression (TPS ≥ 50%) were the SP263 clone (19.6% vs. 8.2%, p < 0.001), time of archival tumor tissue <12 months (15.3% vs. 3.8%, p = 0.024), whenever the analysis was performed in the most recent years (2019-2020) (19.0% vs. 8.3%, p < 0.001), and whenever the analysis was performed by pathologists in the academic setting (Instituto Nacional de Cancerologia, INCan) (19.9% vs. 11.9%, p = 0.001). In the molecular analysis, EGFR wild-type tumors had an increased proportion of PD-L1 positive and PD-L1 high cases (60.2% vs. 47.9%, p = 0.006 and 17.4% vs.8.5%, p = 0.004). A moderate correlation (r = 0.69) in the PD-L1 TPS% was observed between the two different settings (INCan vs. external laboratories).

conclusionClinicopathological factors were associated with an increased PD-L1 positivity rate. These differences were significant in the PD-L1 high group and associated with the academic setting, the SPS263 clone, time of archival tumor tissue <12 months, and a more recent period in the PD-L1 analysis.

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiomarkers, TumorHumansImmunohistochemistryReproducibility of ResultsB7-H1 AntigenBiomarkers, TumorCD274 protein, humanimmunotherapylung adenocarcinomanon-small-cell lung cancerPD-L1 immunohistochemistryprogrammed death-ligand 1

Identifiers

PMID36317227
PMCPMC9715877
OpenAlexW4307757333

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.