miRNA profile obtained by next‑generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments

Cancer Patients ◽

Metastatic Breast ◽

Mirna Profile ◽

Next Generation ◽

Breast Cancer Patients ◽

Systemic Treatments ◽

Detection of ESR1 mutations in plasma and tumors from metastatic breast cancer patients using next-generation sequencing

Breast Cancer Research and Treatment ◽

10.1007/s10549-017-4190-z ◽

2017 ◽

Vol 163 (2) ◽

pp. 231-240 ◽

Cited By ~ 18

Author(s):

Takehiro Yanagawa ◽

Naofumi Kagara ◽

Tomohiro Miyake ◽

Tomonori Tanei ◽

Yasuto Naoi ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Patients ◽

Metastatic Breast ◽

Next Generation ◽

Breast Cancer Patients ◽

Esr1 Mutations ◽

Detection of TP53/PIK3CA Mutations in Cell-Free Plasma DNA From Metastatic Breast Cancer Patients Using Next Generation Sequencing

Clinical Breast Cancer ◽

10.1016/j.clbc.2016.05.004 ◽

2016 ◽

Vol 16 (5) ◽

pp. 418-423 ◽

Cited By ~ 20

Author(s):

Chiaki Nakauchi ◽

Naofumi Kagara ◽

Kenzo Shimazu ◽

Atsushi Shimomura ◽

Yasuto Naoi ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Patients ◽

Metastatic Breast ◽

Breast Cancer Patients ◽

Plasma Dna ◽

Pik3ca Mutations ◽

Free Plasma ◽

Real world data analysis of next generation sequencing and protein expression in metastatic breast cancer patients

Scientific Reports ◽

10.1038/s41598-020-67393-9 ◽

2020 ◽

Vol 10 (1) ◽

Cited By ~ 2

Author(s):

Dirk Hempel ◽

Florian Ebner ◽

Arun Garg ◽

Zeljka Trepotec ◽

Armin Both ◽

...

Keyword(s):

Breast Cancer ◽

Data Analysis ◽

Cancer Patients ◽

Real World ◽

Metastatic Breast ◽

Breast Cancer Patients ◽

Real World Data ◽

Faculty Opinions recommendation of Detection of TP53/PIK3CA Mutations in Cell-Free Plasma DNA From Metastatic Breast Cancer Patients Using Next Generation Sequencing.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726408545.793559044 ◽

2019 ◽

Author(s):

Ahmad Awada

Keyword(s):

Breast Cancer ◽

Cancer Patients ◽

Metastatic Breast ◽

Breast Cancer Patients ◽

Plasma Dna ◽

Pik3ca Mutations ◽

Free Plasma ◽

Tumor Mutation Burden Prediction Model in Egyptian Breast Cancer patients based on Next Generation Sequencing

Asian Pacific Journal of Cancer Prevention ◽

10.31557/apjcp.2021.22.7.2053 ◽

2021 ◽

Vol 22 (7) ◽

pp. 2053-2059

Author(s):

Auhood Nassar ◽

Ahmed Lymona ◽

Mai Lotfy ◽

Amira Youssef ◽

Marwa Mohanad ◽

...

Keyword(s):

Breast Cancer ◽

Prediction Model ◽

Cancer Patients ◽

Next Generation ◽

Breast Cancer Patients ◽

Tumor Mutation Burden ◽

Mutation Burden ◽

Targeted next generation sequencing identifies somatic mutations in a cohort of Egyptian breast cancer patients

Journal of Advanced Research ◽

10.1016/j.jare.2020.04.001 ◽

2020 ◽

Vol 24 ◽

pp. 149-157

Author(s):

Auhood Nassar ◽

Mohamed Abouelhoda ◽

Osman Mansour ◽

Samah A. Loutfy ◽

Mohamed M. Hafez ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Patients ◽

Somatic Mutations ◽

Next Generation ◽

Breast Cancer Patients ◽

Targeted Next Generation Sequencing ◽

Abstract A212: Next generation sequencing (NGS) in 57 patients with advanced or metastatic breast cancer: Identification of unique genomic profiles and correlation with response.

10.1158/1535-7163.targ-13-a212 ◽

2013 ◽

Author(s):

Jennifer J. Wheler ◽

Barbara A. Parker ◽

Jack Lee ◽

Roman Yelensky ◽

Stacy Moulder ◽

...

Keyword(s):

Breast Cancer ◽

Metastatic Breast ◽

Next Generation ◽

Next Generation Sequencing Ngs ◽

Abstract P2-08-13: Integrating multiplex and next generation sequencing (NGS) platforms in routine molecular profiling of metastatic breast cancer (MBC) patients (pts): Trends for enrollment in genotype-directed clinical trials (GDTs)

10.1158/1538-7445.sabcs15-p2-08-13 ◽

2016 ◽

Author(s):

M Oliveira ◽

R Dienstmann ◽

M Bellet ◽

JM Pérez-Garcia ◽

P Gómez ◽

...

Keyword(s):

Breast Cancer ◽

Clinical Trials ◽

Metastatic Breast ◽

Molecular Profiling ◽

Next Generation ◽

Next Generation Sequencing Ngs ◽

A genome-wide approach to link genotype to clinical outcome by simultaneously utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients.

Journal of Clinical Oncology ◽

10.1200/jco.2015.33.15_suppl.e12074 ◽

2015 ◽

Vol 33 (15_suppl) ◽

pp. e12074-e12074

Author(s):

Balazs Gyorffy ◽

Mate Kormos ◽

Lorinc Pongor

Keyword(s):

Breast Cancer ◽

Clinical Outcome ◽

Cancer Patients ◽

Next Generation ◽

Breast Cancer Patients ◽

Chip Data ◽

Genome Wide ◽

A Genome ◽

A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients

Genome Medicine ◽

10.1186/s13073-015-0228-1 ◽

2015 ◽

Vol 7 (1) ◽

Cited By ~ 36

Author(s):

Lőrinc Pongor ◽

Máté Kormos ◽

Christos Hatzis ◽

Lajos Pusztai ◽

András Szabó ◽

...

Keyword(s):

Breast Cancer ◽

Clinical Outcome ◽

Cancer Patients ◽

Next Generation ◽

Breast Cancer Patients ◽

Chip Data ◽

Genome Wide ◽

A Genome ◽