Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor Recurrence
BackgroundTo determine a correlation between mRNA and lncRNA signatures, sonographic features, and risk of recurrence in triple-negative breast cancers (TNBC).MethodsWe retrospectively reviewed the data from 114 TNBC patients having undergone transcriptome analysis. The risk of tumor recurrence was...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-01-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2020.587422/full |
| _version_ | 1818669790072406016 |
|---|---|
| author | Jia-wei Li Jia-wei Li Jin Zhou Jin Zhou Zhao-ting Shi Zhao-ting Shi Na Li Na Li Shi-chong Zhou Shi-chong Zhou Cai Chang Cai Chang |
| author_facet | Jia-wei Li Jia-wei Li Jin Zhou Jin Zhou Zhao-ting Shi Zhao-ting Shi Na Li Na Li Shi-chong Zhou Shi-chong Zhou Cai Chang Cai Chang |
| author_sort | Jia-wei Li |
| collection | DOAJ |
| description | BackgroundTo determine a correlation between mRNA and lncRNA signatures, sonographic features, and risk of recurrence in triple-negative breast cancers (TNBC).MethodsWe retrospectively reviewed the data from 114 TNBC patients having undergone transcriptome analysis. The risk of tumor recurrence was determined based on the correlation between transcriptome profiles and recurrence-free survival. Ultrasound (US) features were described according to the Breast Imaging Reporting and Data System. Multivariate logistic regression analysis determined the correlation between US features and risk of recurrence. The predictive value of sonographic features in determining tumor recurrence was analyzed using receiver operating characteristic curves.ResultsThree mRNAs (CHRDL1, FCGR1A, and RSAD2) and two lncRNAs (HIF1A-AS2 and AK124454) were correlated with recurrence-free survival in patients with TNBC. Among the three mRNAs, two were upregulated (FCGR1A and RSAD2) and one was downregulated (CHRDL1) in TNBCs. LncRNAs HIF1A-AS2 and AK124454 were upregulated in TNBCs. Based on these signatures, an integrated mRNA–lncRNA model was established using Cox regression analysis to determine the risk of tumor recurrence. Benign-like sonographic features, such as regular shape, circumscribed margin, posterior acoustic enhancement, and no calcifications, were associated with HIF1A-AS2 expression and high risk of tumor recurrence (P<0.05). Malignant-like features, such as irregular shape, uncircumscribed margin, no posterior acoustic enhancement, and calcifications, were correlated with CHRDL1 expression and low risk of tumor recurrence (P<0.05).ConclusionsSonographic features and mRNA–lncRNA signatures in TNBCs represent the risk of tumor recurrence. Taken together, US may be a promising technique in determining the prognosis of patients with TNBC. |
| first_indexed | 2024-12-17T06:57:48Z |
| format | Article |
| id | doaj.art-569663255ea8488a9791319d27a2bccc |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-17T06:57:48Z |
| publishDate | 2021-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-569663255ea8488a9791319d27a2bccc2022-12-21T21:59:21ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-01-011010.3389/fonc.2020.587422587422Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor RecurrenceJia-wei Li0Jia-wei Li1Jin Zhou2Jin Zhou3Zhao-ting Shi4Zhao-ting Shi5Na Li6Na Li7Shi-chong Zhou8Shi-chong Zhou9Cai Chang10Cai Chang11Department of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaBackgroundTo determine a correlation between mRNA and lncRNA signatures, sonographic features, and risk of recurrence in triple-negative breast cancers (TNBC).MethodsWe retrospectively reviewed the data from 114 TNBC patients having undergone transcriptome analysis. The risk of tumor recurrence was determined based on the correlation between transcriptome profiles and recurrence-free survival. Ultrasound (US) features were described according to the Breast Imaging Reporting and Data System. Multivariate logistic regression analysis determined the correlation between US features and risk of recurrence. The predictive value of sonographic features in determining tumor recurrence was analyzed using receiver operating characteristic curves.ResultsThree mRNAs (CHRDL1, FCGR1A, and RSAD2) and two lncRNAs (HIF1A-AS2 and AK124454) were correlated with recurrence-free survival in patients with TNBC. Among the three mRNAs, two were upregulated (FCGR1A and RSAD2) and one was downregulated (CHRDL1) in TNBCs. LncRNAs HIF1A-AS2 and AK124454 were upregulated in TNBCs. Based on these signatures, an integrated mRNA–lncRNA model was established using Cox regression analysis to determine the risk of tumor recurrence. Benign-like sonographic features, such as regular shape, circumscribed margin, posterior acoustic enhancement, and no calcifications, were associated with HIF1A-AS2 expression and high risk of tumor recurrence (P<0.05). Malignant-like features, such as irregular shape, uncircumscribed margin, no posterior acoustic enhancement, and calcifications, were correlated with CHRDL1 expression and low risk of tumor recurrence (P<0.05).ConclusionsSonographic features and mRNA–lncRNA signatures in TNBCs represent the risk of tumor recurrence. Taken together, US may be a promising technique in determining the prognosis of patients with TNBC.https://www.frontiersin.org/articles/10.3389/fonc.2020.587422/fulllong non-coding RNAmessenger RNAtriple-negative breast cancertumor recurrenceultrasound |
| spellingShingle | Jia-wei Li Jia-wei Li Jin Zhou Jin Zhou Zhao-ting Shi Zhao-ting Shi Na Li Na Li Shi-chong Zhou Shi-chong Zhou Cai Chang Cai Chang Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor Recurrence Frontiers in Oncology long non-coding RNA messenger RNA triple-negative breast cancer tumor recurrence ultrasound |
| title | Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor Recurrence |
| title_full | Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor Recurrence |
| title_fullStr | Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor Recurrence |
| title_full_unstemmed | Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor Recurrence |
| title_short | Sonographic Features of Triple-Negative Breast Carcinomas Are Correlated With mRNA–lncRNA Signatures and Risk of Tumor Recurrence |
| title_sort | sonographic features of triple negative breast carcinomas are correlated with mrna lncrna signatures and risk of tumor recurrence |
| topic | long non-coding RNA messenger RNA triple-negative breast cancer tumor recurrence ultrasound |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2020.587422/full |
| work_keys_str_mv | AT jiaweili sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT jiaweili sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT jinzhou sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT jinzhou sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT zhaotingshi sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT zhaotingshi sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT nali sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT nali sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT shichongzhou sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT shichongzhou sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT caichang sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence AT caichang sonographicfeaturesoftriplenegativebreastcarcinomasarecorrelatedwithmrnalncrnasignaturesandriskoftumorrecurrence |