Evidence map›Paper›PMID 42656570›Full record

ArticleFrontiers in genetics2026

A reproducible epithelial transcriptional state combines interferon-associated and secretory programs in pancreatic ductal adenocarcinoma.

Xingyu Mi, Shifan Wu, Liang Xiao

Abstract read
In one paragraph

Article in Frontiers in genetics, 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

3 authors.

Xingyu MiDepartment of Liver Surgery, Xiangya Hospital, Central South University, Changsha, China.
Shifan WuDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, Changsha, China.
Liang XiaoDepartment of Liver Surgery, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) exhibits extensive epithelial plasticity, yet epithelial states associated with interferon signaling remain incompletely defined. We analyzed cleaned epithelial cells classified as singlets in two independent PDAC single-cell RNA-sequencing cohorts, GSE155698 and GSE212966, and constructed a composite score combining an interferon-associated module (IFNcore) with an epithelial-secretory module (Secretorycore). VM-high cells consistently co-expressed representative genes from both programs. Within individual PDAC tumors, IFNcore and Secretorycore were positively associated in 14 of 17 GSE155698 samples and 5 of 6 GSE212966 samples. Sample-level effect sizes and leave-one-gene-out analyses further identified IRF1, STAT1, and ELF3 as candidate factors associated with distinct components of the state. The principal findings were preserved after doublet filtering and remained detectable in Harmony- and CopyKAT-based robustness analyses. In the independent GSE62452 cohort, the composite score correlated with a non-overlapping interferon signature among 69 PDAC tumors (Spearman rho = 0.584, P = 1.42 × 10^-7). In TCGA-PAAD, a higher continuous score was associated with poorer overall survival in univariate Cox analysis, although the association was attenuated after adjustment for age, sex, stage, and grade. These findings define a reproducible PDAC epithelial transcriptional state in which interferon-associated activity coexists with secretory epithelial identity and nominate IRF1, STAT1, and ELF3 for subsequent functional investigation.

Indexed as

epithelial plasticityinterferon signalingpancreatic ductal adenocarcinomasecretory epithelial programsingle-cell RNA sequencing

Identifiers

PMID42656570
PMCPMC13507420

What Socratic 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 Socratic graph.