Evidence map›Paper›PMID 42518513›Full record

ArticleJournal of pathology informatics2026

Automated measurement of CD8+ T-cell distribution at the tumor epithelial-stromal interface is associated with NSCLC immunotherapy benefit and transcriptomic pathways.

Patrick Leo, Hauke Kolster, Hartmut Koeppen, Jennifer Giltnane, Namrata S Patil, Niha Beig, Barzin Y Nabet, Velimir Gayevskiy, Daniel Ruderman, Cleopatra Kozlowski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pathology informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Patrick LeoGenentech, South San Francisco, CA, USA.
Hauke KolsterGenentech, South San Francisco, CA, USA.
Hartmut KoeppenGenentech, South San Francisco, CA, USA.
Jennifer GiltnaneGenentech, South San Francisco, CA, USA.
Namrata S PatilGenentech, South San Francisco, CA, USA.
Niha BeigGenentech, South San Francisco, CA, USA.
Barzin Y NabetGenentech, South San Francisco, CA, USA.
Velimir GayevskiyRancho BioSciences, San Diego, CA, USA.
Daniel RudermanGenentech, South San Francisco, CA, USA.
Cleopatra KozlowskiGenentech, South San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whereas anti-PD-(L)1 therapies are widely used in cancer treatment, only a subset of patients achieve long-term survival. Companion diagnostics based on PD-L1 expression have limited predictive power for these therapies, motivating development of additional predictive markers. We demonstrate a digital pathology (DP) method to quantify the density and epithelial infiltration of cytotoxic T cells near the tumor epithelial-stromal interface (ESI) using pancytokeratin-CD8 immunohistochemistry slides. We used POPLAR (

Indexed as

BiomarkersComputer visionDigital pathologyImmunotherapyLung cancerMachine learningPersonalized medicinePredictive markers

Identifiers

PMID42518513
PMCPMC13382319

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.