Evidence map›Paper›PMID 33028693›Full record

ArticleJournal for immunotherapy of cancer2020

Gene signature of antigen processing and presentation machinery predicts response to checkpoint blockade in non-small cell lung cancer (NSCLC) and melanoma.

Jeffrey C Thompson, Christiana Davis, Charuhas Deshpande, Wei-Ting Hwang, Seth Jeffries, Alexander Huang, Tara C Mitchell, Corey J Langer, Steven M Albelda

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

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  9. Hypoxic stress granules trigger immunogenic dormancy in lung cancer.bioRxiv : the preprint server for biology · 2026
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20 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Jeffrey C ThompsonPulmonary and Critical Care, Thoracic Oncology Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA jeffrey.thompson@pennmedicine.upenn.edu.ORCID 0000-0001-5734-0004
Christiana DavisHematology/Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Charuhas DeshpandePathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Wei-Ting HwangBiostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Seth JeffriesHematology/Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Alexander HuangHematology/Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Tara C MitchellHematology/Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Corey J LangerHematology/Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Steven M AlbeldaPulmonary and Critical Care, Thoracic Oncology Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
A multimodal approach to develop molecular markers to predict response to immune targeted agents in non-small cell lung cancerK08CA234335 · NCI · UNIVERSITY OF PENNSYLVANIA · PI THOMPSON, JEFFREY C · 2018 to 2022
$982k
NCI NIH HHS K08 CA234335NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

backgroundLimited data exist on the role of alterations in HLA Class I antigen processing and presentation machinery in mediating response to immune checkpoint blockade (ICB).

methodsThis retrospective cohort study analyzed transcriptional profiles from pre-treatment tumor samples of 51 chemotherapy-refractory advanced non-small cell lung cancer (NSCLC) patients and two independent melanoma cohorts treated with ICB. An antigen processing machinery (APM) score was generated utilizing eight genes associated with APM (

resultsIn NSCLC, the APM score was significantly higher in responders compared with non-responders (p=0.0001). An APM score above the median value for the cohort was associated with improved PFS (HR 0.34 (0.18 to 0.64), p=0.001) and OS (HR 0.44 (0.23 to 0.83), p=0.006). The APM score was correlated with an inflammation score based on the established T-cell-inflamed resistance gene expression profile (Pearson's r=0.58, p<0.0001). However, the APM score better predicted response to ICB relative to the inflammation score with area under a receiving operating characteristics curve of 0.84 and 0.70 for PFS and OS, respectively. In a cohort of 14 high-risk resectable stage III/IV melanoma patients treated with neoadjuvant anti-PD1 ICB, a higher APM score was associated with improved disease-free survival (HR: 0.08 (0.01 to 0.50), p=0.0065). In an additional independent melanoma cohort of 27 metastatic patients treated with ICB, a higher APM score was associated with improved OS (HR 0.29 (0.09 to 0.89), p=0.044).

conclusionOur data demonstrate that defects in antigen presentation may be an important feature in predicting outcomes to ICB in both lung cancer and melanoma.

Indexed as

AdultAgedAged, 80 and overAntigen PresentationCarcinoma, Non-Small-Cell LungFemaleHumansImmune Checkpoint InhibitorsLung NeoplasmsMaleMelanomaMiddle AgedRetrospective StudiesImmune Checkpoint Inhibitorsantigen presentationlung neoplasmsmelanomatumor biomarkers

Identifiers

PMID33028693
PMCPMC7542663
OpenAlexW3092125637

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.