Evidence map›Paper›PMID 38062011›Full record

ArticleCell death & disease2023

Nuclear isoform of RAPH1 interacts with FOXQ1 to promote aggressiveness and radioresistance in breast cancer.

Qun Liu, Yu Cao, Xiaolin Wei, Huiting Dong, Mengyao Cui, Shu Guan, Bo Liu, Xu Wang, Peng Xing

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The transcription factor FOXQ1 in cancer.Cancer metastasis reviews · 2025
    Review
  5. Article
  6. 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

9 authors at 1 institution in 1 country.

Qun Liu *Department of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China.
Yu Cao *Department of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China.
Xiaolin WeiDepartment of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China.
Huiting DongDepartment of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China.
Mengyao CuiDepartment of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China.
Shu GuanDepartment of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China.
Bo LiuDepartment of Cardiac Surgery, First Hospital of China Medical University, Shenyang, China. bliu17@cmu.edu.cn.
Xu WangDepartment of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China. soloman2003@163.com.
Peng XingDepartment of Surgical Oncology, Breast Surgery, General Surgery, First Hospital of China Medical University, Shenyang, China. pxing@cmu.edu.cn.ORCID 0000-0002-9017-8771
First Hospital of China Medical University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82002890Natural Science Foundation of Liaoning Province (Liaoning Provincial Natural Science Foundation) 2020-MS-183
6 · The paper itself

Abstract

Radioresistance limits the efficacy of radiotherapy against breast cancer, especially the most lethal subtype of breast cancer, triple-negative breast cancer (TNBC). Epithelial-to-mesenchymal transition (EMT) is closely related to tumor radioresistance. In this work, we attempted to identify the key EMT-related transcription factor(s) that can induce radioresistance in breast cancer cells. A set of 44 EMT transcription factors were analyzed in parental and radioresistant TNBC cell lines. The function of FOXQ1, a differentially expressed transcription factor, was determined in TNBC radioresistance. FOXQ1-interacting proteins were identified by co-immunoprecipitation and mass spectrometry. Compared with parental cells, FOXQ1 was significantly upregulated in radioresistant TNBC cells. Silencing of FOXQ1 increased the radiosensitiviy of radioresistant TNBC cells both in vitro and in vivo. FOXQ1 associated with a nuclear isoform of RAPH1 (named RAPH1-i3) in radioresistant TNBC cells. Overexpression of RAPH1-i3 enhanced TNBC cell proliferation and migration, and most interestingly, induced radioresistance in parental TNBC cells when co-expressed with FOXQ1. Similar findings were observed in estrogen receptor-positive breast cancer cell lines that had co-expression of RAPH1-i3 and FOXQ1. Mechanistically, co-expression of RAPH1-i3 and FOXQ1 activated STAT3 signaling and increased the expression of CCND1, MCL1, Bcl-XL, and MMP2. Depletion of RAPH1-i3 impaired the radioresistance of radioresistant TNBC cells. Additionally, RAPH1-i3 upregulation was associated with advanced tumor stage and reduced disease-free survival in TNBC patients. These results collectively show that RAPH1-i3 interacts with FOXQ1 to promote breast cancer progression and radioresistance. RAPH1-i3 and FOXQ1 represent therapeutic targets for the treatment of breast cancer including TNBC.

Indexed as

Triple Negative Breast NeoplasmsCarrier ProteinsCell Line, TumorCell ProliferationEpithelial-Mesenchymal TransitionForkhead Transcription FactorsGene Expression Regulation, NeoplasticHumansMembrane ProteinsProtein IsoformsSignal TransductionTranscription FactorsCarrier ProteinsForkhead Transcription FactorsFOXQ1 protein, humanMembrane ProteinsProtein IsoformsRAPH1 protein, humanTranscription Factors

Identifiers

PMID38062011
PMCPMC10703867
OpenAlexW4389428415

What Socratic 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 Socratic graph.