Evidence map›Paper›PMID 35494043›Full record

ArticleFrontiers in oncology2022

Gene Mutations Associated With Clinical Characteristics in the Tumors of Patients With Breast Cancer.

Chunfang Hao, Chen Wang, Ning Lu, Weipeng Zhao, Shufen Li, Li Zhang, Wenjing Meng, Shuling Wang, Zhongsheng Tong, Yanwu Zeng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Chunfang HaoDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Chen WangDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Ning LuDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Weipeng ZhaoDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Shufen LiDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Li ZhangDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Wenjing MengDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Shuling WangDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Zhongsheng TongDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Yanwu ZengDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Leilei LuDepartment of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Tianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical characteristics including estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor 2 (HER2) are important biomarkers in the treatment of breast cancer, but how genomic mutations affect their status is rarely studied. This study aimed at finding genomic mutations associated with these clinical characteristics. Methods: There were 160 patients with breast cancer enrolled in this study. Samples from those patients were used for next-generation sequencing, targeting a panel of 624 pan-cancer genes. Short nucleotide mutations, copy number variations, and gene fusions were identified for each sample. Fisher's exact test compared each pair of genes. A similarity score was constructed with the resulting Results: Gene-by-gene analysis found that Conclusion: This study identified genomic mutations positively associated with ER and PR status. These findings not only revealed candidate genes in ER and PR status maintenance but also provided potential treatment targets for patients with endocrine therapy resistance.

Indexed as

a family history of cancerestrogen receptorgenomic mutationshuman epidermal growth factor receptor 2progesterone receptors

Identifiers

PMID35494043
PMCPMC9046571
OpenAlexW4223998507

What OpenQuestion holds

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LicenceCC BY
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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.