Evidence map›Paper›PMID 38533207›Full record

ArticleFrontiers in genetics2024

Integrative analysis identifies cancer cell-intrinsic RARRES1 as a predictor of prognosis and immune response in triple-negative breast cancer.

Zhengheng Yu, Hongjin Liu, Jingming Ye, Yinhua Liu, Ling Xin, Qian Liu, Yuanjia Cheng, Lu Yin, Ling Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Multi-omics analysis identifieTranslational cancer research · 2026
    Article
  3. Review
  4. Article
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 3 institutions in 1 country.

Zhengheng YuDepartment of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Hongjin LiuDepartment of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Jingming YeDepartment of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Yinhua LiuDepartment of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Ling XinDepartment of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Qian LiuDepartment of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Yuanjia ChengDepartment of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Lu Yin *Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ling Xu *Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
Peking University First Hospital · CNPeking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a subtype of breast cancer with poor prognosis and limited treatment options. Although immune checkpoint inhibitors (ICIs) have been proven to improve outcomes in TNBC patients, the potential mechanisms and markers that determine the therapeutic response to ICIs remains uncertain. Revealing the relationship and interaction between cancer cells and tumor microenvironment (TME) could be helpful in predicting treatment efficacy and developing novel therapeutic agents. By analyzing single-cell RNA sequencing dataset, we comprehensively profiled cell types and subpopulations as well as identified their signatures in the TME of TNBC. We also proposed a method for quantitatively assessment of the TME immune profile and provided a framework for identifying cancer cell-intrinsic features associated with TME through integrated analysis. Using integrative analyses,

Indexed as

bioinformatic analysisimmune responseRARRES1single-cell RNA sequencingtriple-negative breast cancertumor microenvironment

Identifiers

PMID38533207
PMCPMC10963550
OpenAlexW4392714533

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.