Evidence map›Paper›PMID 35079117›Full record

ArticleScientific reports2022

T cell subtype profiling measures exhaustion and predicts anti-PD-1 response.

Ian Schillebeeckx, Jon Earls, Kevin C Flanagan, Jeffrey Hiken, Alex Bode, Jon R Armstrong, David N Messina, Douglas Adkins, Jessica Ley, Ilaria Alborelli and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Adaptive resistance in cancer immunotherapy.Cellular & molecular immunology · 2026
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  8. Transcriptomic signatures in peripheral CD4Frontiers in immunology · 2025
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  17. Adenoviral-based vaccine promotes neoantigen-specific CD8Science translational medicine · 2022
    Article
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 3 institutions in 2 countries.

Ian SchillebeeckxCofactor Genomics, Inc., San Francisco, CA, USA. ian@cofactorgenomics.com.
Jon EarlsCofactor Genomics, Inc., San Francisco, CA, USA.
Kevin C FlanaganCofactor Genomics, Inc., San Francisco, CA, USA.
Jeffrey HikenCofactor Genomics, Inc., San Francisco, CA, USA.
Alex BodeCofactor Genomics, Inc., San Francisco, CA, USA.
Jon R ArmstrongCofactor Genomics, Inc., San Francisco, CA, USA.
David N MessinaCofactor Genomics, Inc., San Francisco, CA, USA.
Douglas AdkinsWashington University School of Medicine, Saint Louis, MO, USA.
Jessica LeyWashington University School of Medicine, Saint Louis, MO, USA.
Ilaria AlborelliDepartment of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.
Philip JermannDepartment of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.
Jarret I GlasscockCofactor Genomics, Inc., San Francisco, CA, USA.
Cofactor Genomics (United States) · USUniversity Hospital of Basel · CHWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-PD-1 therapy can provide long, durable benefit to a fraction of patients. The on-label PD-L1 test, however, does not accurately predict response. To build a better biomarker, we created a method called T Cell Subtype Profiling (TCSP) that characterizes the abundance of T cell subtypes (TCSs) in FFPE specimens using five RNA models. These TCS RNA models are created using functional methods, and robustly discriminate between naïve, activated, exhausted, effector memory, and central memory TCSs, without the reliance on non-specific, classical markers. TCSP is analytically valid and corroborates associations between TCSs and clinical outcomes. Multianalyte biomarkers based on TCS estimates predicted response to anti-PD-1 therapy in three different cancers and outperformed the indicated PD-L1 test, as well as Tumor Mutational Burden. Given the utility of TCSP, we investigated the abundance of TCSs in TCGA cancers and created a portal to enable researchers to discover other TCSP-based biomarkers.

Indexed as

Biomarkers, TumorCD8-Positive T-LymphocytesCells, CulturedHumansLeukocytes, MononuclearNeoplasmsProgrammed Cell Death 1 ReceptorBiomarkers, TumorPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID35079117
PMCPMC8789795
OpenAlexW4210369661

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.