Cargando…
Landscape of clinically actionable mutations in breast cancer ‘A cohort study’
Breast cancer (BC) is a heterogeneous disease. Numerous chemotherapeutic agents are available for early stage or advanced/metastatic breast cancer to provide maximum benefit with minimum side effects. However, the clinical outcome of patients with the same clinical and pathological characteristics a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581976/ https://www.ncbi.nlm.nih.gov/pubmed/33099186 http://dx.doi.org/10.1016/j.tranon.2020.100877 |
_version_ | 1783599089940692992 |
---|---|
author | Ghosh, Mithua Naik, Radheshyam Lingaraju, Sheela Mysore Susheela, Sridhar Papaiah Patil, Shekar Srinivasachar, Gopinath Kodaganur Thungappa, Satheesh Chiradoni Murugan, Krithika Jayappa, Srinivas Belagutty Bhattacharjee, Somorat Rao, Nalini Bandimegal, Mahesh Krishnappa, Roopesh Poppareddy, Shashidhara Haragadde Raghavendrachar, Krishna Chennagiri Shivakumar, Yogesh Nagesh, Sunitha Kodandapani, Ramya Rajan, Ashwini Bahadur, Urvashi Agrawal, Pooja Ramaswamy, Veena Nanjaiah, Tejaswini Bangalore Kunigal, Sateesh Katragadda, Shanmukh Manjunath, Ashwini Ram, Amritanshu Ajaikumar, Basavalinga S. |
author_facet | Ghosh, Mithua Naik, Radheshyam Lingaraju, Sheela Mysore Susheela, Sridhar Papaiah Patil, Shekar Srinivasachar, Gopinath Kodaganur Thungappa, Satheesh Chiradoni Murugan, Krithika Jayappa, Srinivas Belagutty Bhattacharjee, Somorat Rao, Nalini Bandimegal, Mahesh Krishnappa, Roopesh Poppareddy, Shashidhara Haragadde Raghavendrachar, Krishna Chennagiri Shivakumar, Yogesh Nagesh, Sunitha Kodandapani, Ramya Rajan, Ashwini Bahadur, Urvashi Agrawal, Pooja Ramaswamy, Veena Nanjaiah, Tejaswini Bangalore Kunigal, Sateesh Katragadda, Shanmukh Manjunath, Ashwini Ram, Amritanshu Ajaikumar, Basavalinga S. |
author_sort | Ghosh, Mithua |
collection | PubMed |
description | Breast cancer (BC) is a heterogeneous disease. Numerous chemotherapeutic agents are available for early stage or advanced/metastatic breast cancer to provide maximum benefit with minimum side effects. However, the clinical outcome of patients with the same clinical and pathological characteristics and treated with similar treatments may show major differences and a vast majority of patients still develop treatment resistance and eventually succumb to disease. It remains an unmet need to identify specific molecular defects, new biomarkers to enable clinicians to adopt individualized treatment for every patient in terms of endocrine, chemotherapy or targeted therapy which will improve clinical outcomes in BC. Our study aimed to identify frequent hotspot mutation profile in BC by targeted deep sequencing in cancer-related genes using Illumina Truseq amplicon/Swift Accel-Amplicon panel and MiSeq technology in an IRB-approved prospective study in a CLIA compliant laboratory. All the cases had pathology review for stage, histological type, hormonal status and Ki-67. Data was processed using Strand NGS™. Mutations identified in the tumor were assessed for ‘actionability’ i.e. response to therapy and impact on prognosis. |
format | Online Article Text |
id | pubmed-7581976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75819762020-10-30 Landscape of clinically actionable mutations in breast cancer ‘A cohort study’ Ghosh, Mithua Naik, Radheshyam Lingaraju, Sheela Mysore Susheela, Sridhar Papaiah Patil, Shekar Srinivasachar, Gopinath Kodaganur Thungappa, Satheesh Chiradoni Murugan, Krithika Jayappa, Srinivas Belagutty Bhattacharjee, Somorat Rao, Nalini Bandimegal, Mahesh Krishnappa, Roopesh Poppareddy, Shashidhara Haragadde Raghavendrachar, Krishna Chennagiri Shivakumar, Yogesh Nagesh, Sunitha Kodandapani, Ramya Rajan, Ashwini Bahadur, Urvashi Agrawal, Pooja Ramaswamy, Veena Nanjaiah, Tejaswini Bangalore Kunigal, Sateesh Katragadda, Shanmukh Manjunath, Ashwini Ram, Amritanshu Ajaikumar, Basavalinga S. Transl Oncol Original Research Breast cancer (BC) is a heterogeneous disease. Numerous chemotherapeutic agents are available for early stage or advanced/metastatic breast cancer to provide maximum benefit with minimum side effects. However, the clinical outcome of patients with the same clinical and pathological characteristics and treated with similar treatments may show major differences and a vast majority of patients still develop treatment resistance and eventually succumb to disease. It remains an unmet need to identify specific molecular defects, new biomarkers to enable clinicians to adopt individualized treatment for every patient in terms of endocrine, chemotherapy or targeted therapy which will improve clinical outcomes in BC. Our study aimed to identify frequent hotspot mutation profile in BC by targeted deep sequencing in cancer-related genes using Illumina Truseq amplicon/Swift Accel-Amplicon panel and MiSeq technology in an IRB-approved prospective study in a CLIA compliant laboratory. All the cases had pathology review for stage, histological type, hormonal status and Ki-67. Data was processed using Strand NGS™. Mutations identified in the tumor were assessed for ‘actionability’ i.e. response to therapy and impact on prognosis. Neoplasia Press 2020-10-21 /pmc/articles/PMC7581976/ /pubmed/33099186 http://dx.doi.org/10.1016/j.tranon.2020.100877 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Ghosh, Mithua Naik, Radheshyam Lingaraju, Sheela Mysore Susheela, Sridhar Papaiah Patil, Shekar Srinivasachar, Gopinath Kodaganur Thungappa, Satheesh Chiradoni Murugan, Krithika Jayappa, Srinivas Belagutty Bhattacharjee, Somorat Rao, Nalini Bandimegal, Mahesh Krishnappa, Roopesh Poppareddy, Shashidhara Haragadde Raghavendrachar, Krishna Chennagiri Shivakumar, Yogesh Nagesh, Sunitha Kodandapani, Ramya Rajan, Ashwini Bahadur, Urvashi Agrawal, Pooja Ramaswamy, Veena Nanjaiah, Tejaswini Bangalore Kunigal, Sateesh Katragadda, Shanmukh Manjunath, Ashwini Ram, Amritanshu Ajaikumar, Basavalinga S. Landscape of clinically actionable mutations in breast cancer ‘A cohort study’ |
title | Landscape of clinically actionable mutations in breast cancer ‘A cohort study’ |
title_full | Landscape of clinically actionable mutations in breast cancer ‘A cohort study’ |
title_fullStr | Landscape of clinically actionable mutations in breast cancer ‘A cohort study’ |
title_full_unstemmed | Landscape of clinically actionable mutations in breast cancer ‘A cohort study’ |
title_short | Landscape of clinically actionable mutations in breast cancer ‘A cohort study’ |
title_sort | landscape of clinically actionable mutations in breast cancer ‘a cohort study’ |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581976/ https://www.ncbi.nlm.nih.gov/pubmed/33099186 http://dx.doi.org/10.1016/j.tranon.2020.100877 |
work_keys_str_mv | AT ghoshmithua landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT naikradheshyam landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT lingarajusheelamysore landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT susheelasridharpapaiah landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT patilshekar landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT srinivasachargopinathkodaganur landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT thungappasatheeshchiradoni landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT murugankrithika landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT jayappasrinivasbelagutty landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT bhattacharjeesomorat landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT raonalini landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT bandimegalmahesh landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT krishnapparoopesh landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT poppareddyshashidharaharagadde landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT raghavendracharkrishnachennagiri landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT shivakumaryogesh landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT nageshsunitha landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT kodandapaniramya landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT rajanashwini landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT bahadururvashi landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT agrawalpooja landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT ramaswamyveena landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT nanjaiahtejaswinibangalore landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT kunigalsateesh landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT katragaddashanmukh landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT manjunathashwini landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT ramamritanshu landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy AT ajaikumarbasavalingas landscapeofclinicallyactionablemutationsinbreastcanceracohortstudy |