Evidence map›Paper›PMID 40604782›Full record

ArticleBMC medical informatics and decision making2025

Clinicopathological observation and prognostic factors of invasive breast cancer with medullary in Xinjiang.

Yan Li, Xiaoping Ma, Zhenhui Zhao, Li Li, Chunyan Gao, Dan Liu, Bingyu Li, Bing Zhao

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yan LiDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China.
Xiaoping MaDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China.
Zhenhui ZhaoDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China.
Li LiDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China.
Chunyan GaoDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China.
Dan LiuDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China.
Bingyu LiDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China.
Bing ZhaoDepartment of Breast Cancer, The Clinical Research Center of Breast Tumor and Thyroid Tumor in Xinjiang Uygur Autonomous Region, Affiliated Tumor Hospital of Xinjiang Medical University, No.789 Suzhou East Street, Urumqi, Xinjiang, 830011, China. doctorcrystal@163.com.

Funding

Youth Scientific and Technological Innovation Talents Training Project of Xinjiang Uyghur autonomous region QN2016YX0274
6 · The paper itself

Abstract

backgroundInvasive breast cancer (BC) with medullary is a special type of BC, accounting for 3 ~ 6% of invasive BC. To investigate clinicopathological characteristics concerning invasive BC with medullary in Xinjiang area and analyze the prognostic factors of patients. MATERIALS AND

methodsClinicopathological data of100 invasive BC patients with medullary admitted to Xinjiang tumor Hospital from January 2011 to December 2020 were analyzed retrospectively via R packages. Count data were analyzed applying COX regression model and relevant statistics approaches.

resultsAll 100patients that investigated were female and the median age was 48 years old. The median follow-up time was 92 months. The the cumulative disease free survival (DFS) at 10 years were 84.1%. Log-Rank test results suggest that ethnicity, TNM stage, tumor size, lymph node metastasis, and pathological type are possible adverse factors affecting patients with invasive breast cancer with myeloid features (P<0.05).

conclusionDespite the poor pathological features of Invasive BC with medullary, its clinical outcome is more favorable. Ethnicity, TNM stage, tumor size, lymph node metastasis, and pathological type are possible adverse factors affecting patients with invasive breast cancer with medullary features.

Indexed as

Breast NeoplasmsCarcinoma, MedullaryAdultAgedChinaFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm InvasivenessNeoplasm StagingPrognosisRetrospective StudiesBreast cancerClinicalMedullary characteristicsPathologyPrognosis

Identifiers

PMID40604782
PMCPMC12224657

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