Evidence map›Paper›PMID 37894280›Full record

ArticleCancers2023

The T Cell Immunoscore as a Reference for Biomarker Development Utilizing Real-World Data from Patients with Advanced Malignancies Treated with Immune Checkpoint Inhibitors.

Islam Eljilany, Payman Ghasemi Saghand, James Chen, Aakrosh Ratan, Martin McCarter, John Carpten, Howard Colman, Alexandra P Ikeguchi, Igor Puzanov, Susanne Arnold and 7 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03977402 (INST UNM 1521), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 10% 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.

NCT03977402 recruitingnot on this map

INST UNM 1521: Total Cancer Care Protocol: A Lifetime Partnership With Patients Who Have or May be at Risk of Having Cancer

TypeobservationalSponsorNew Mexico Cancer Research AllianceRan2016 to 2037Enrolled47,500ConditionsCancer, Cancer RiskArmsBiological specimen collection
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Immune biomarkers for head and neck cancer.Cancer immunology, immunotherapy : CII · 2025
    Review
  6. Article
  7. Article
  8. Review
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

17 authors at 10 institutions in 1 country.

Islam EljilanyDepartments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Payman Ghasemi SaghandDepartment of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
James ChenDepartment of Internal Medicine, Division of Medical Oncology, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-4095-5202
Aakrosh RatanCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-0782-3056
Martin McCarterDivision of Surgical Oncology, Department of Surgery, School of Medicine, University of Colorado, Aurora, CO 80045, USA.ORCID 0000-0001-8174-1713
John CarptenUSC Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA.
Howard ColmanDepartment of Neurosurgery, School of Medicine, University of Utah, Salt Lake City, UT 84132, USA.
Alexandra P IkeguchiOklahoma University Health Stephenson Cancer Center, Oklahoma City, OK 73104, USA.
Igor PuzanovDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0002-9803-3497
Susanne ArnoldUniversity of Kentucky Markey Cancer Center, Lexington, KY 40536, USA.
Michelle ChurchmanClinical & Life Sciences Department, Aster Insights, Hudson, FL 34667, USA.
Patrick HwuH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Jose Conejo-GarciaH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
William S DaltonAster Insights, Hudson, FL 34667, USA.
George J WeinerDepartment of Internal Medicine, Carver College of Medicine, University of Iowa Health Care, Iowa City, IA 52242, USA.ORCID 0000-0003-3427-0562
Issam M El NaqaDepartment of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.ORCID 0000-0001-6023-1132
Ahmad A TarhiniDepartments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Moffitt Cancer Center · USOU HealthRoswell Park Comprehensive Cancer Center · USThe Ohio State University · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Iowa Health Care · USUniversity of Kentucky · USUniversity of Utah · USUniversity of Virginia · USUSC Norris Comprehensive Cancer Center · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
Optimal Decision Making in Radiotherapy Using Panomics AnalyticsR01CA233487 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EL NAQA, ISSAM M. · 2019 to 2023
$2.4M
NCI NIH HHS P30 CA177558NCI NIH HHS R01 CA233487NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

backgroundWe aimed to determine the prognostic value of an immunoscore reflecting CD3+ and CD8+ T cell density estimated from real-world transcriptomic data of a patient cohort with advanced malignancies treated with immune checkpoint inhibitors (ICIs) in an effort to validate a reference for future machine learning-based biomarker development.

methodsTranscriptomic data was collected under the Total Cancer Care Protocol (NCT03977402) Avatar

resultsOur study encompassed 522 patients with four cancer types. The median duration to death was 10.5 months for the 275 participants who encountered an event. For the entire cohort, the results demonstrated that transcriptomics-based immunoscore could significantly predict patients at risk of death (

conclusionsCalculating CD3+ and CD8+ T cell immunoscore using real-world transcriptomic data represents a promising signature for estimating OS with ICIs and can be used as a reference for future machine learning-based biomarker development.

Indexed as

biomarkerimmune checkpoint inhibitorsimmunoscoremachine learningoncologyreal-world datatranscriptomics

Identifiers

PMID37894280
PMCPMC10605389
OpenAlexW4387500574

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Registered trials

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.