Evidence map›Paper›PMID 40297627›Full record

ArticleTherapeutic advances in medical oncology2025

ICOS and ICOS ligand: expression patterns and outcomes in oncology patients.

Mina Nikanjam, Shumei Kato, Daisuke Nishizaki, Donald A Barkauskas, Sarabjot Pabla, Mary K Nesline, Jeffrey M Conroy, Aung Naing, Razelle Kurzrock

Registry-linked trialAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02478931 (UCSD Profile Related Evidence Determining Individualized Cancer Therapy), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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.

NCT02478931 recruitingnot on this map

UCSD Profile Related Evidence Determining Individualized Cancer Therapy (UCSD PREDICT)

TypeobservationalSponsorShu Mei KatoRan2013 to 2027Enrolled10,000ConditionsCancer
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Revealing the dynamics of follicular T cells and checkpoint engagement in surgically resected colorectal cancer and their relations to clinicopathological aspects.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. TLR9: A Double-Dealing Toll-Like Receptor.ImmunoTargets and therapy · 2025
    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

9 authors.

Mina NikanjamDivision of Hematology-Oncology, University of California San Diego, 1200 Garden View Road, La Jolla, CA 92024, USA.ORCID https://orcid.org/0000-0001-7052-6348
Shumei KatoDivision of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Daisuke NishizakiDivision of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Donald A BarkauskasBiostatistics Division, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Sarabjot PablaLabcorp Oncology, Buffalo, NY, USA.
Mary K NeslineLabcorp Oncology, Buffalo, NY, USA.
Jeffrey M ConroyLabcorp Oncology, Buffalo, NY, USA.
Aung NaingDepartment of Investigational Cancer Therapeutics, MD Anderson Cancer Center, Houston, CA, USA.
Razelle KurzrockMedical College of Wisconsin Cancer Center, Milwaukee, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inducible T-cell co-stimulator (ICOS) and its ligand (ICOSL) form a complex, two-faced immune machinery that can lead to both immune stimulation and inhibition. Objective: We explored ICOS transcriptomic expression patterns and their relationship with other checkpoints and with outcomes in patients with advanced/metastatic cancers. Design: This was a retrospective cohort study. Methods: RNA expression for ICOS and other immune checkpoints was quantified by RNA sequencing and stratified by rank values into high (75-100 percentiles) and low (0-24 percentiles). Fischer's exact tests were used for univariate analyses to evaluate independent predictors of ICOS high and logistic regression was used for multivariate analyses. Progression-free survival (PFS) and overall survival (OS) for ICOS high versus not high expression were evaluated using the log-rank test (Kaplan-Meier analysis) and Cox proportional hazards. Results: High ICOS (⩾75 percentile RNA rank) was present in 14% of 514 cancers and independently associated with high PD-1 ( Conclusion: High ICOS expression was not a prognostic marker and did not independently predict outcomes after ICIs. Variable expression of ICOS/ICOSL between tumors and association of high ICOS with high PD-1, PD-L1, and CTLA-4 suggest that individual tumor immunomic analysis may be required for optimized patient selection in clinical trials targeting the ICOS/ICOSL system, especially when given in combination with ICIs. Trial registration: UCSD_PREDICT, NCT02478931.

Indexed as

ICOSICOS ligandimmune checkpointimmunotherapy

Identifiers

PMID40297627
PMCPMC12035295

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.