Evidence map›Paper›PMID 41907411›Full record

ArticleiScience2026

KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC.

Kai Xiong, Yixuan Zhu, Hao Fang, Xinti Sun, Zihao Li, Dilihumaer Tuerxun, Peng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 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

7 authors.

Kai XiongDepartment of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Yixuan ZhuDepartment of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Hao FangGraduate College of Tianjin Medical University, Tianjin, China.
Xinti SunInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zihao LiDepartment of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Dilihumaer TuerxunDepartment of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Peng ZhangDepartment of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative recurrence and metastasis in esophageal squamous cell carcinoma (ESCC) are closely associated with cancer stem cells (CSCs), though the heterogeneity and key molecular mechanisms underlying CSC-driven progression remain incompletely understood. In this study, we identified a malignant, stem-like subpopulation in ESCC using single-cell sequencing data and screened for subpopulation-specific markers via machine learning algorithms, identifying KRT15 as a candidate. Functional experiments

Indexed as

Health sciences

Identifiers

PMID41907411
PMCPMC13018899

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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 OpenQuestion graph.