Evidence map›Paper›PMID 40069844›Full record

ArticleJournal of experimental & clinical cancer research : CR2025

Unveiling radiobiological traits and therapeutic responses of BRAF

Peiyuan Mu, Shaobo Mo, Xingfeng He, Hui Zhang, Tao Lv, Ruone Xu, Luoxi He, Fan Xia, Shujuan Zhou, Yajie Chen and 13 more

Abstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. BRAF mutation and tumor immune microenvironment in new era.American journal of cancer research · 2026
    Review
  7. 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

23 authors.

Peiyuan Mu *Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Shaobo Mo *Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Xingfeng HeDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Hui ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Tao LvDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Ruone XuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Luoxi HeDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Fan XiaDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Shujuan ZhouDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yajie ChenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yaqi WangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Lijun ShenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Juefeng WanDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Lili HuangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Weiqing LuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xinyue LiangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xiaomeng LiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Ping LuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Junjie PengDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Guoqiang HuaD1Med Technology (Shanghai) Inc, Shanghai, 201802, China.
Kewen HuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. kekewolf@126.com.
Zhen ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. zhen_zhang@fudan.edu.cn.
Yan WangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. wangxyyan@sina.com.

Funding

National Natural Science Foundation of China 81902825National Natural Science Foundation of China 82102978National Natural Science Foundation of China 82203215National Natural Science Foundation of China 82272732National Natural Science Foundation of China 82373132Shanghai Anticancer Association "aoxiang" Project SACA-AX202218Shanghai Sailing Program 22YF1408800
6 · The paper itself

Abstract

backgroundRadiotherapy (RT) is an essential treatment for colorectal cancer (CRC), yet the factors influencing radiosensitivity remain unclear. In the quest to enhance the therapeutic efficacy in CRC, the interplay between genetic mutations and RT sensitivity has emerged as a pivotal yet enigmatic area.

methodsWe harness the fidelity of patient-derived organoids (PDOs) to dissect the molecular landscape of radiosensitivity, with a particular emphasis on BRAF

resultsOur systematic investigation unveils a profound correlation between BRAF

conclusionsThis study outlines the distinct radiobiological profile of BRAF

Indexed as

Colorectal NeoplasmsMutationOrganoidsProto-Oncogene Proteins B-rafAnimalsFemaleHumansMiceRadiation ToleranceXenograft Model Antitumor AssaysBRAF protein, humanProto-Oncogene Proteins B-rafBRAFV600E-mutantColorectal cancerOrganoid modelPrecision treatmentRadiotherapy

Identifiers

PMID40069844
PMCPMC11895145

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.