Evidence map›Paper›PMID 37553332›Full record

ArticleNPJ genomic medicine2023

T-cell priming transcriptomic markers: implications of immunome heterogeneity for precision immunotherapy.

Hirotaka Miyashita, Razelle Kurzrock, Nicholas J Bevins, Kartheeswaran Thangathurai, Suzanna Lee, Sarabjot Pabla, Mary Nesline, Sean T Glenn, Jeffrey M Conroy, Paul DePietro and 3 more

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 20 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

13 authors at 6 institutions in 3 countries.

Hirotaka Miyashita *Department of Hematology and Oncology, Dartmouth Cancer Center, Lebanon, NH, USA. miyashita.hirotaka@gmail.com.ORCID http://orcid.org/0000-0002-0433-9779
Razelle Kurzrock *Worldwide Innovative Network (WIN) for Personalized Cancer Therapy, Paris, France.ORCID http://orcid.org/0000-0003-4110-1214
Nicholas J BevinsDepartment of Pathology, University of California San Diego, La Jolla, CA, USA.
Kartheeswaran ThangathuraiThe Shraga Segal Department for Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID http://orcid.org/0000-0001-7265-3922
Suzanna LeeCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC, San Diego Moores Cancer Center, La Jolla, CA, USA.
Sarabjot PablaOmniSeq Inc, Buffalo, NY, USA.
Mary NeslineOmniSeq Inc, Buffalo, NY, USA.
Sean T GlennRoswell Park Comprehensive Cancer Center, Center for Personalized Medicine, Buffalo, NY, USA.
Jeffrey M ConroyOmniSeq Inc, Buffalo, NY, USA.
Paul DePietroOmniSeq Inc, Buffalo, NY, USA.
Eitan RubinThe Shraga Segal Department for Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Jason K SicklickDivision of Surgical Oncology, Department of Surgery, and Center for Personalized Cancer Therapy, University of California, San Diego, La Jolla, CA, USA.
Shumei KatoCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC, San Diego Moores Cancer Center, La Jolla, CA, USA. smkato@health.ucsd.edu.
University of California San Diego · USBen-Gurion University of the Negev · ILDartmouth Psychiatric Research Center · USMedical College of Wisconsin · USRoswell Park Comprehensive Cancer Center · USUC San Diego Health System · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
NCI NIH HHS P30 CA023100
6 · The paper itself

Abstract

Immune checkpoint blockade is effective for only a subset of cancers. Targeting T-cell priming markers (TPMs) may enhance activity, but proper application of these agents in the clinic is challenging due to immune complexity and heterogeneity. We interrogated transcriptomics of 15 TPMs (CD137, CD27, CD28, CD80, CD86, CD40, CD40LG, GITR, ICOS, ICOSLG, OX40, OX40LG, GZMB, IFNG, and TBX21) in a pan-cancer cohort (N = 514 patients, 30 types of cancer). TPM expression was analyzed for correlation with histological type, microsatellite instability high (MSI-H), tumor mutational burden (TMB), and programmed death-ligand 1 (PD-L1) expression. Among 514 patients, the most common histological types were colorectal (27%), pancreatic (11%), and breast cancer (10%). No statistically significant association between histological type and TPM expression was seen. In contrast, expression of GZMB (granzyme B, a serine protease stored in activated T and NK cells that induces cancer cell apoptosis) and IFNG (activates cytotoxic T cells) were significantly higher in tumors with MSI-H, TMB ≥ 10 mutations/mb and PD-L1 ≥ 1%. PD-L1 ≥ 1% was also associated with significantly higher CD137, GITR, and ICOS expression. Patients' tumors were classified into "Hot", "Mixed", or "Cold" clusters based on TPM expression using hierarchical clustering. The cold cluster showed a significantly lower proportion of tumors with PD-L1 ≥ 1%. Overall, 502 patients (98%) had individually distinct patterns of TPM expression. Diverse expression patterns of TPMs independent of histological type but correlating with other immunotherapy biomarkers (PD-L1 ≥ 1%, MSI-H and TMB ≥ 10 mutations/mb) were observed. Individualized selection of patients based on TPM immunomic profiles may potentially help with immunotherapy optimization.

Identifiers

PMID37553332
PMCPMC10409760
OpenAlexW4385665790

What OpenQuestion holds

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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.