Evidence map›Paper›PMID 42388591›Full record

ArticleCancer diagnosis & prognosis

Steven Lehrer, Peter Rheinstein

Abstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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

2 authors.

Steven LehrerDepartment of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York City, NY, U.S.A.
Peter RheinsteinSevern Health Solutions, Severna Park, MD, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: Cellular senescence, mediated by CDKN2A-encoded p16 Materials and Methods: We analyzed 386 gastric adenocarcinoma samples from The Cancer Genome Atlas (TCGA-STAD) cohort, stratifying patients by CDKN2A mRNA expression using z-score thresholds: Loss (z <-1.0; n=57), Wild-Type (-1.0 ≤ z ≤ +1.0; n=253), and Over-expression (z >+1.0; n=76). Immune cell infiltration was estimated with quanTIseq deconvolution. SASP factor expression (IDO1, TGFB1, NT5E) and correlations with immune populations were assessed using Kruskal-Wallis tests, pairwise Wilcoxon rank-sum tests, and Spearman correlation analyses. Results: CDKN2A over-expression was significantly associated with CD8+ T cell depletion ( Conclusion: This transcriptomic analysis confirms the association between CDKN2A over-expression and an immunosuppressive microenvironment characterized by CD8+ T cell depletion and IDO1 up-regulation. The strong positive correlation between IDO1 and CD8+ T cells supports an adaptive immune resistance model, wherein IDO1 is induced

Indexed as

CDKN2AGastric adenocarcinomaIDO1immune evasiontumor microenvironment

Identifiers

PMID42388591
PMCPMC13321975

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.