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Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures
Breast cancer (BC) is one of the leading causes of cancer-associated death in women. Despite the progress in therapeutic regimen, resistance and recurrence of breast cancer have affected the overall survival of patients. The present signatures, such as PAM50 and Oncotype DX, do not segregate the Ind...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641000/ https://www.ncbi.nlm.nih.gov/pubmed/36386805 http://dx.doi.org/10.3389/fgene.2022.932060 |
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author | Manjunath, Meghana Nirgude, Snehal Mhatre, Anisha Vemuri, Sai G. Nataraj, Mallika Thumsi, Jayanti Choudhary, Bibha |
author_facet | Manjunath, Meghana Nirgude, Snehal Mhatre, Anisha Vemuri, Sai G. Nataraj, Mallika Thumsi, Jayanti Choudhary, Bibha |
author_sort | Manjunath, Meghana |
collection | PubMed |
description | Breast cancer (BC) is one of the leading causes of cancer-associated death in women. Despite the progress in therapeutic regimen, resistance and recurrence of breast cancer have affected the overall survival of patients. The present signatures, such as PAM50 and Oncotype DX, do not segregate the Indian breast samples based on molecular subtypes. This study aims at finding signatures of long noncoding RNA (lncRNA) and mRNA in Indian breast cancer patients using RNA-seq. We have analyzed the survival based on the menopausal and hormone status of 380 Indian breast cancer patients, and of these, we have sequenced and analyzed matched tumor–normal transcriptome of 17 (pre- and postmenopausal) Indian breast cancer patients representing six different subtypes, namely, four patients in triple-positive, three patients in estrogen receptor–positive (ER+ve), three patients in estrogen and progesterone receptors–positive (ER+ve, PR+ve), two patients in human epidermal growth factor receptor (Her2+ve), three patients in triple-negative, and one patient in ER+ve and Her2+ve subtypes. We have identified a 25 mRNA–27 lncRNA gene set, which segregated the subtypes in our data. A pathway analysis of the differentially expressed genes revealed downregulated ECM interaction and upregulated immune regulation, cell cycle, DNA damage response and repair, and telomere elongation in premenopausal women. Postmenopausal women showed downregulated metabolism, innate immune system, upregulated translation, sumoylation, and AKT2 activation. A Kaplan–Meier survival analysis revealed that menopausal status, grade of the tumor, and hormonal status displayed statistically significant effects (p < 0.05) on the risk of mortality due to breast cancer. Her2+ve patients showed low overall survival. One of the unique lncRNA-mRNA pairs specific to the EP-subtype, SNHG12 and EPB41, showed interaction, which correlates with their expression level; SNHG12 is downregulated and EPB41 is upregulated in EP samples. |
format | Online Article Text |
id | pubmed-9641000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96410002022-11-15 Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures Manjunath, Meghana Nirgude, Snehal Mhatre, Anisha Vemuri, Sai G. Nataraj, Mallika Thumsi, Jayanti Choudhary, Bibha Front Genet Genetics Breast cancer (BC) is one of the leading causes of cancer-associated death in women. Despite the progress in therapeutic regimen, resistance and recurrence of breast cancer have affected the overall survival of patients. The present signatures, such as PAM50 and Oncotype DX, do not segregate the Indian breast samples based on molecular subtypes. This study aims at finding signatures of long noncoding RNA (lncRNA) and mRNA in Indian breast cancer patients using RNA-seq. We have analyzed the survival based on the menopausal and hormone status of 380 Indian breast cancer patients, and of these, we have sequenced and analyzed matched tumor–normal transcriptome of 17 (pre- and postmenopausal) Indian breast cancer patients representing six different subtypes, namely, four patients in triple-positive, three patients in estrogen receptor–positive (ER+ve), three patients in estrogen and progesterone receptors–positive (ER+ve, PR+ve), two patients in human epidermal growth factor receptor (Her2+ve), three patients in triple-negative, and one patient in ER+ve and Her2+ve subtypes. We have identified a 25 mRNA–27 lncRNA gene set, which segregated the subtypes in our data. A pathway analysis of the differentially expressed genes revealed downregulated ECM interaction and upregulated immune regulation, cell cycle, DNA damage response and repair, and telomere elongation in premenopausal women. Postmenopausal women showed downregulated metabolism, innate immune system, upregulated translation, sumoylation, and AKT2 activation. A Kaplan–Meier survival analysis revealed that menopausal status, grade of the tumor, and hormonal status displayed statistically significant effects (p < 0.05) on the risk of mortality due to breast cancer. Her2+ve patients showed low overall survival. One of the unique lncRNA-mRNA pairs specific to the EP-subtype, SNHG12 and EPB41, showed interaction, which correlates with their expression level; SNHG12 is downregulated and EPB41 is upregulated in EP samples. Frontiers Media S.A. 2022-10-25 /pmc/articles/PMC9641000/ /pubmed/36386805 http://dx.doi.org/10.3389/fgene.2022.932060 Text en Copyright © 2022 Manjunath, Nirgude, Mhatre, Vemuri, Nataraj, Thumsi and Choudhary. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Manjunath, Meghana Nirgude, Snehal Mhatre, Anisha Vemuri, Sai G. Nataraj, Mallika Thumsi, Jayanti Choudhary, Bibha Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures |
title | Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures |
title_full | Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures |
title_fullStr | Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures |
title_full_unstemmed | Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures |
title_short | Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures |
title_sort | transcriptomic profiling of indian breast cancer patients revealed subtype-specific mrna and lncrna signatures |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641000/ https://www.ncbi.nlm.nih.gov/pubmed/36386805 http://dx.doi.org/10.3389/fgene.2022.932060 |
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