Evidence map›Paper›PMID 37170681›Full record

ArticleCancer medicine2023

Using immunohistochemistry to classify the molecular subtypes of Paget's disease of the breast.

Yujiao Cai, Zhongquan Cheng, Jiarui Nangong, Xiaodan Zheng, Zhu Yuan

Open access · goldAbstract read
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Article in Cancer medicine, 2023. 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
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yujiao CaiDepartment of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, China.
Zhongquan ChengDepartment of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, China.
Jiarui NangongDepartment of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, China.
Xiaodan ZhengDepartment of Pathology, Capital Medical University, Beijing Friendship Hospital, Beijing, China.
Zhu YuanDepartment of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, China.ORCID 0000-0003-2838-6235
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo classify the molecular subtypes of Paget's disease of the breast, and then compare them with general breast cancer to get deeper understanding of this disease and offer better management of associate patients in clinical decisions.

methodsWe used immunohistochemistry to examine 42 cases of this disease by antibodies against estrogen and progesterone receptors, Ki-67, as well as human epidermal growth factor receptor 2 (HER-2). Due to damage and loss of specimens, etc., we obtained 36 pathological specimens from the 42 patients. For 30 of 36 pathological specimens (83.3%), we obtained a complete molecular subtype. Cause the other 6 pathological specimens have missing immunohistochemistry items. For patients with bilateral breast cancer, only information on the side with PDB is listed. For patients with recurrence, only information on the first onset was included. We finally compared and studied the molecular subtype of 26 samples. We calculated the relative frequencies of molecular subtypes including luminal A, luminal B, HER-2-enriched, and basal-like and compared them between PDB and general breast carcinomas in other studies.

resultsThe luminal A and B subtype were found, respectively, in 3 (11.5%) and 6 (23.1%) of all patients, and 15 cases of HER-2-enriched subtype was detected (57.7%). In addition, 2 (7.7%) showed a basal-like subtype.

conclusionThe molecular subtypes of common breast cancer and PDB-associated breast cancer differ. Luminal subtypes are the most common in the former, while within our samples HER-2 positive subtype was the highest in PDB-associated breast carcinoma. With further understanding of this disease, rational therapies will be applied in different patients and cures for PDB and PDB-associated carcinoma will be achieved.

Indexed as

AdenocarcinomaBreast NeoplasmsCarcinomaPaget's Disease, MammaryFemaleHumansImmunohistochemistrybreast cancerimmunohistochemistrymolecular subtypePaget's disease of the breast

Identifiers

PMID37170681
PMCPMC10358243
OpenAlexW4376223864

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