Evidence map›Paper›PMID 39243111›Full record

ArticleDiagnostic pathology2024

TRPS1, a sensitive marker for different histological and molecular types of breast cancer.

Change Kong, Baohua Yu, Rui Bi, Xiaoli Xu, Yufan Cheng, Wentao Yang, Ruohong Shui

Abstract read
In one paragraph

Article in Diagnostic pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Change KongDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Baohua YuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Rui BiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xiaoli XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yufan ChengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Wentao YangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Ruohong ShuiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. shuiruohong2014@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe explored Trichorhinophalangeal syndrome type 1 (TRPS1) expression in special types of breast carcinoma, and analyzed the correlation between TRPS1 and androgen receptor (AR) expression in triple-negative breast cancer (TNBC).

methodsTRPS1 expression was analyzed in 801 patients with special types of breast carcinoma. A total of 969 TNBC were used to analyze the correlation between the expression of TRPS1 and AR. TRPS1 expression was evaluated in 1975 cases of breast cancer with different molecular types.

resultsA total of 801 special types of breast cancers were stained with TRPS1.TRPS1 was positive in 100% (63/63) of mucinous carcinoma, 100% (7/7) adenoid cystic carcinomas (4 classic adenoid cystic carcinomas and 3 solid-basaloid adenoid cystic carcinomas), 100% (4/4) tubular carcinomas, 100% (2/2) secretory carcinomas, and 99.59% (243/244) invasive lobular carcinomas, 99.26% (267/269) invasive micropapillary carcinomas, 97.44% (38/39) ER-positive neuroendocrine tumors, 94.44% (34/36) metaplastic breast carcinomas (MBCs), 63.73% (65/102) apocrine carcinomas. TRPS1 was negative in all triple-negative neuroendocrine carcinomas (0/7).TRPS1 was positive in 92.86% (26/28) of metastatic special types of breast cancer. TRPS1 and AR expression were analyzed in 969 cases of TNBC. 90.40% were positive for TRPS1, and 42.41% were positive for AR. A significant inverse correlation between TRPS1 and AR expression was shown in TNBC (p < .001). TRPS1 showed a higher positive rate (93.13%) in TNBC compared to GATA binding protein 3 (GATA3), gross cystic disease fluid protein 15 (GCDFP-15) and forkhead box transcription Factor C 1 (FOXC1).

conclusionsIn conclusion, our study demonstrated that TRPS1 is a highly sensitive marker for most special types of breast carcinoma. TRPS1 was positive in 63.73% of apocrine carcinomas. TRPS1 and AR expression was inversely correlated in TNBC.

Indexed as

Biomarkers, TumorDNA-Binding ProteinsReceptors, AndrogenRepressor ProteinsTranscription FactorsTriple Negative Breast NeoplasmsAdultBreast NeoplasmsFemaleHumansImmunohistochemistryMiddle AgedAR protein, humanBiomarkers, TumorDNA-Binding ProteinsReceptors, AndrogenRepressor ProteinsTranscription FactorsTRPS1 protein, humanARFOXC1GATA3GCDFP-15ImmunohistochemistrySpecial types of breast carcinomaTRPS1

Identifiers

PMID39243111
PMCPMC11378484

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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.