Evidence map›Paper›PMID 42729436›Full record

ArticleiScience2026

RAD51AP1-MYC-Sam68 positive transcriptional feedback loop maintains lung cancer stemness.

Renwang Liu, Mingbiao Li, Zixuan Hu, Shen Yang, Guangsheng Zhu, Peijun Cao, Haiyang Fan, Jianfang Wang, Zitong Zhang, Jun Chen

Abstract read
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

10 authors.

Renwang LiuDepartment of Lung Cancer Surgery, Center of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Mingbiao LiTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Zixuan HuDepartment of Lung Cancer Surgery, Center of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Shen YangDepartment of Lung Cancer Surgery, Center of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Guangsheng ZhuDepartment of Esophagus Surgery, Key Laboratory of Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China.
Peijun CaoDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu 610041, China.
Haiyang FanDepartment of Thoracic Surgery, Seventh Hospital, Sun Yat-sen University, Shenzhen 518107, China.
Jianfang WangDepartment of Lung Cancer Surgery, Center of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Zitong ZhangDepartment of Lung Cancer Surgery, Center of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Jun ChenDepartment of Lung Cancer Surgery, Center of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maintenance of cancer stemness drives lung cancer recurrence, metastasis, and refractoriness. Limited drug efficacy against existing stemness mechanisms suggests the existence of undiscovered complex regulatory networks. Previously, we found that

Indexed as

cancer stem cellscancer stemnesslung cancerpositive feedback loopRAD51AP1transcriptional regulation

Identifiers

PMID42729436
PMCPMC13562426

What OpenQuestion 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 OpenQuestion graph.