Evidence map›Paper›PMID 41192784›Full record

ArticleCancer letters2026

Reprogramming lineage features promotes epithelial behavior in carcinoma cells.

Ru-Feng Wu, Guosheng Fu, Chengxu Liao, Zhenyi Ma, Zhe Liu, Lin Xu, Chad A Newton, Lance S Terada

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer letters, 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

8 authors.

Ru-Feng WuDepartment of Internal Medicine, Division of Pulmonary and Critical Care, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA.
Guosheng FuDepartment of Internal Medicine, Division of Pulmonary and Critical Care, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA.
Chengxu LiaoDepartment of Internal Medicine, Division of Pulmonary and Critical Care, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA.
Zhenyi MaZhejiang Key Laboratory of Medical Epigenetics, Department of Cell Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
Zhe LiuZhejiang Key Laboratory of Medical Epigenetics, Department of Cell Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
Lin XuQuantitative Biomedical Research Center, Department of Health Data Science & Biostatistics, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA.
Chad A NewtonDepartment of Internal Medicine, Division of Pulmonary and Critical Care, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA.
Lance S TeradaDepartment of Internal Medicine, Division of Pulmonary and Critical Care, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA. Electronic address: Lance.terada@utsouthwestern.edu.

Funding

(PQ1) Epigenetic effects of the premalignant fieldR01CA208620 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI TERADA, LANCE S · 2016 to 2020
$1.9M
Molecular Markers of Idiopathic Pulmonary Fibrosis ProgressionK23HL148498 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI NEWTON, CHAD ALAN · 2020 to 2024
$891k
NCI NIH HHS R01 CA208620NHLBI NIH HHS K23 HL148498
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AiolosAnoikisIkarosLineageLung cancerLymphocyte

Identifiers

PMID41192784
PMCPMC13428611

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.