Evidence map›Paper›PMID 41943836›Full record

ArticleInternational journal of biological sciences2026

Jian Xu, Ling Cheng, Sien Ma, Chen Gan, Jiaying Chai, Xinyi Zheng, Longyu Hu, Meiwen Ling, Mingjun Zhang, Bao Zhao and 1 more

Abstract read
In one paragraph

Article in International journal of biological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Jian XuDepartment of Surgical Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Ling ChengDepartment of Traditional Chinese Medicine, The People's Hospital of Pingshan Shenzhen (Pingshan Hospital of Southern Medical University), Shenzhen, Guangdong, China.
Sien MaInstitute of Health and Medicine, Hefei Comprehensive National Science Center, Hefei, Anhui, China.
Chen GanDepartment of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
Jiaying ChaiDepartment of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
Xinyi ZhengDepartment of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
Longyu HuDepartment of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
Meiwen LingDepartment of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
Mingjun ZhangDepartment of Oncology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Bao ZhaoInstitute of Health and Medicine, Hefei Comprehensive National Science Center, Hefei, Anhui, China.
Huaidong ChengDepartment of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC), a distinct breast cancer subtype, poses significant challenges to conventional therapeutic approaches, and effective targeted therapies are limited. CRISPR/Cas9 library screening has demonstrated unprecedented efficiency and revolutionary potential in the identification of therapeutic targets. In this study, we performed

Indexed as

Triple Negative Breast NeoplasmsTuberous Sclerosis Complex 2 ProteinUbiquitin-Conjugating EnzymesAnimalsAutophagyCell Line, TumorCRISPR-Cas SystemsFemaleHumansMiceUbiquitinationTSC2 protein, humanTuberous Sclerosis Complex 2 ProteinUbiquitin-Conjugating EnzymesautophagyCRISPR/Cas9PD-1TNBCubiquitination

Identifiers

PMID41943836
PMCPMC13050453

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.