Recurrence prediction using microRNA expression in hormone receptor positive breast cancer during tamoxifen treatment

Chungyeul Kim, Eun Jin Go, Aeree Kim

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Purpose: To identify miRNAs associated with distant recurrence during tamoxifen treatment and build a recurrence prediction model. Materials and methods: We measured the expression of five miRNAs (miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222). A total of 176 tumour tissues from 176 patients who had hormone receptor positive breast cancer with tamoxifen treatment were used to measure miRNA expression using quantitative real-time PCR (qRT-PCR). Results: The five miRNAs were all up-regulated in distant recurrence cases within 5 years after surgery and during tamoxifen treatment. Kaplan-Meier survival analyses based on expression cut-offs determined by receiver characteristics curves (ROC) showed that high expression of miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222 were significantly (log-rank p-value =0.006, p-value <0.0001, p-value <0.0001, p-value <0.0001 and p-value <0.0001, respectively) associated with short relapse-free time. Our results were used to build a combined 3 miRNAs expression model. It could be used to categorize high-risk subset of patients with short relapse-free survival (AUC =0.891, p-value <0.0001). Conclusions: Distant recurrence during tamoxifen treatment of hormone positive breast cancer might be affected by tamoxifen resistance related miRNAs. Such distant recurrence can be predicted using miRNA measurement.

Original languageEnglish
JournalBiomarkers
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Tamoxifen
MicroRNAs
Hormones
Breast Neoplasms
Recurrence
Therapeutics
Kaplan-Meier Estimate
Survival Analysis
Set theory
ROC Curve
Surgery
Area Under Curve
Tumors
Real-Time Polymerase Chain Reaction
Tissue
Survival

Keywords

  • Breast cancer
  • microRNA
  • molecular markers
  • prognostic factors

ASJC Scopus subject areas

  • Biochemistry
  • Clinical Biochemistry
  • Health, Toxicology and Mutagenesis

Cite this

Recurrence prediction using microRNA expression in hormone receptor positive breast cancer during tamoxifen treatment. / Kim, Chungyeul; Go, Eun Jin; Kim, Aeree.

In: Biomarkers, 01.01.2018.

Research output: Contribution to journalArticle

@article{b6d42f5a25be4e63bc778078fef90b96,
title = "Recurrence prediction using microRNA expression in hormone receptor positive breast cancer during tamoxifen treatment",
abstract = "Purpose: To identify miRNAs associated with distant recurrence during tamoxifen treatment and build a recurrence prediction model. Materials and methods: We measured the expression of five miRNAs (miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222). A total of 176 tumour tissues from 176 patients who had hormone receptor positive breast cancer with tamoxifen treatment were used to measure miRNA expression using quantitative real-time PCR (qRT-PCR). Results: The five miRNAs were all up-regulated in distant recurrence cases within 5 years after surgery and during tamoxifen treatment. Kaplan-Meier survival analyses based on expression cut-offs determined by receiver characteristics curves (ROC) showed that high expression of miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222 were significantly (log-rank p-value =0.006, p-value <0.0001, p-value <0.0001, p-value <0.0001 and p-value <0.0001, respectively) associated with short relapse-free time. Our results were used to build a combined 3 miRNAs expression model. It could be used to categorize high-risk subset of patients with short relapse-free survival (AUC =0.891, p-value <0.0001). Conclusions: Distant recurrence during tamoxifen treatment of hormone positive breast cancer might be affected by tamoxifen resistance related miRNAs. Such distant recurrence can be predicted using miRNA measurement.",
keywords = "Breast cancer, microRNA, molecular markers, prognostic factors",
author = "Chungyeul Kim and Go, {Eun Jin} and Aeree Kim",
year = "2018",
month = "1",
day = "1",
doi = "10.1080/1354750X.2018.1499131",
language = "English",
journal = "Biomarkers",
issn = "1354-750X",
publisher = "Informa Healthcare",

}

TY - JOUR

T1 - Recurrence prediction using microRNA expression in hormone receptor positive breast cancer during tamoxifen treatment

AU - Kim, Chungyeul

AU - Go, Eun Jin

AU - Kim, Aeree

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Purpose: To identify miRNAs associated with distant recurrence during tamoxifen treatment and build a recurrence prediction model. Materials and methods: We measured the expression of five miRNAs (miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222). A total of 176 tumour tissues from 176 patients who had hormone receptor positive breast cancer with tamoxifen treatment were used to measure miRNA expression using quantitative real-time PCR (qRT-PCR). Results: The five miRNAs were all up-regulated in distant recurrence cases within 5 years after surgery and during tamoxifen treatment. Kaplan-Meier survival analyses based on expression cut-offs determined by receiver characteristics curves (ROC) showed that high expression of miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222 were significantly (log-rank p-value =0.006, p-value <0.0001, p-value <0.0001, p-value <0.0001 and p-value <0.0001, respectively) associated with short relapse-free time. Our results were used to build a combined 3 miRNAs expression model. It could be used to categorize high-risk subset of patients with short relapse-free survival (AUC =0.891, p-value <0.0001). Conclusions: Distant recurrence during tamoxifen treatment of hormone positive breast cancer might be affected by tamoxifen resistance related miRNAs. Such distant recurrence can be predicted using miRNA measurement.

AB - Purpose: To identify miRNAs associated with distant recurrence during tamoxifen treatment and build a recurrence prediction model. Materials and methods: We measured the expression of five miRNAs (miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222). A total of 176 tumour tissues from 176 patients who had hormone receptor positive breast cancer with tamoxifen treatment were used to measure miRNA expression using quantitative real-time PCR (qRT-PCR). Results: The five miRNAs were all up-regulated in distant recurrence cases within 5 years after surgery and during tamoxifen treatment. Kaplan-Meier survival analyses based on expression cut-offs determined by receiver characteristics curves (ROC) showed that high expression of miR-134, miR-125b-5P, miRNA-30a, miR-10a-5p and miR-222 were significantly (log-rank p-value =0.006, p-value <0.0001, p-value <0.0001, p-value <0.0001 and p-value <0.0001, respectively) associated with short relapse-free time. Our results were used to build a combined 3 miRNAs expression model. It could be used to categorize high-risk subset of patients with short relapse-free survival (AUC =0.891, p-value <0.0001). Conclusions: Distant recurrence during tamoxifen treatment of hormone positive breast cancer might be affected by tamoxifen resistance related miRNAs. Such distant recurrence can be predicted using miRNA measurement.

KW - Breast cancer

KW - microRNA

KW - molecular markers

KW - prognostic factors

UR - http://www.scopus.com/inward/record.url?scp=85052318643&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85052318643&partnerID=8YFLogxK

U2 - 10.1080/1354750X.2018.1499131

DO - 10.1080/1354750X.2018.1499131

M3 - Article

C2 - 30010434

AN - SCOPUS:85052318643

JO - Biomarkers

JF - Biomarkers

SN - 1354-750X

ER -