Evidence map›Paper›PMID 34268072›Full record

ArticleGland surgery2021

A nomogram based on CENPP expression for survival prediction in breast cancer.

Heyan Chen, Shengyu Pu, Shibo Yu, Xiaoqin Liao, Jianjun He, Huimin Zhang

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Article in Gland surgery, 2021. 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 59% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Heyan ChenDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shengyu PuDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shibo YuDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoqin LiaoDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jianjun HeDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Huimin ZhangDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, it has been found that the expression of 17 centromere proteins (CENPs) was closely related to malignant tumors, however, the role of CENPs in breast cancer (BC) has not been fully investigated. This study intends to investigate the prognostic value of CENPs in BC and establish nomogram based on expression of CENPs to predict BC patients' prognosis.

methodsA total of 800 BC patients with complete relevant data were included from the TCGA database and were further randomly divided into training set (N=480) and validation set (N=320). Univariate and multivariate Cox regression analysis were used to screen independent factors for overall survival (OS) prediction of BC patients in the training set. Then, the nomogram was established based on these independent predictors and further validated by receiver-operating characteristic (ROC) curves and calibration plots. The GEPIA and bcGenExMiner v4.4 databases were utilized to analyze mRNA expression of candidate gene in BC patients with different clinicopathological features, respectively.

resultsMultivariate Cox regression analysis showed that age, Her2 status, pathologic_T stage, pathologic_M stage and CENPP expression were of independent prognostic value for BC. CENPP was overexpressed in BC tissues (P<0.01) and lower expression of CENPP was associated with worse OS (P=0.005, HR =2.35; 95% CI: 1.30-4.23). We then established a nomogram based on those independent predictors, and the calibration curve demonstrated good fitness of the nomogram for OS prediction. In the training set, the AUCs of 3- and 5-year survival were 0.757 and 0.797, respectively. In the validation set, the AUCs of 3- and 5-year survival were 0.727 and 0.71, respectively.

conclusionsOur study showed that CENPP was a novel prognostic factor for patients with BC, and the established nomogram could provide valuable information on prognostic prediction for patients with BC.

Indexed as

Breast cancerCENPP genenomogramoverall survival

Identifiers

PMID34268072
PMCPMC8258876
OpenAlexW3119717841

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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.