scholarly journals Capture‐based next‐generation sequencing reveals multiple actionable mutations in cancer patients failed in traditional testing

2016 ◽  
Vol 4 (3) ◽  
pp. 262-272 ◽  
Author(s):  
Jing Xie ◽  
Xiongxiong Lu ◽  
Xue Wu ◽  
Xiaoyi Lin ◽  
Chao Zhang ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Cancer Patients ◽  
Next Generation ◽  
Generation Sequencing

Spectrum of Pathogenic Germline Mutations in Chinese Lung Cancer Patients through Next-Generation Sequencing

2019 ◽  
Vol 26 (1) ◽  
pp. 109-114 ◽  
Author(s):  
Panwen Tian ◽  
Xiangyang Cheng ◽  
Zhengyi Zhao ◽  
Yuzi Zhang ◽  
Celimuge Bao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Next Generation Sequencing ◽  
Cancer Patients ◽  
Germline Mutations ◽  
Next Generation ◽  
Lung Cancer Patients ◽  
Generation Sequencing

scholarly journals Characterization of T cell repertoire of blood, tumor, and ascites in ovarian cancer patients using next generation sequencing

2015 ◽  
Vol 4 (11) ◽  
pp. e1030561 ◽  
Author(s):  
Miran Jang ◽  
Poh-Yin Yew ◽  
Kosei Hasegawa ◽  
Yuji Ikeda ◽  
Keiichi Fujiwara ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Next Generation Sequencing ◽  
T Cell ◽  
Cancer Patients ◽  
T Cell Repertoire ◽  
Next Generation ◽  
Cell Repertoire ◽  
Generation Sequencing

scholarly journals Mutational analysis of BRCA1/2 in a group of 134 consecutive ovarian cancer patients. Novel and recurrent BRCA1/2 alterations detected by next generation sequencing

2014 ◽  
Vol 56 (2) ◽  
pp. 193-198 ◽  
Author(s):  
Magdalena Ratajska ◽  
Magdalena Krygier ◽  
Maciej Stukan ◽  
Alina Kuźniacka ◽  
Magdalena Koczkowska ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Next Generation Sequencing ◽  
Cancer Patients ◽  
Mutational Analysis ◽  
Next Generation ◽  
Generation Sequencing

Enabling Precision Oncology Through Precision Diagnostics

2020 ◽  
Vol 15 (1) ◽  
pp. 97-121 ◽  
Author(s):  
Noah A. Brown ◽  
Kojo S.J. Elenitoba-Johnson
Keyword(s):  
Next Generation Sequencing ◽  
Cancer Patients ◽  
Cancer Genomics ◽  
Cost Effective ◽  
Routine Clinical Practice ◽  
Precision Oncology ◽  
Next Generation ◽  
Sequencing Data ◽  
Molecular Alterations ◽  
Generation Sequencing

Genomic testing enables clinical management to be tailored to individual cancer patients based on the molecular alterations present within cancer cells. Genomic sequencing results can be applied to detect and classify cancer, predict prognosis, and target therapies. Next-generation sequencing has revolutionized the field of cancer genomics by enabling rapid and cost-effective sequencing of large portions of the genome. With this technology, precision oncology is quickly becoming a realized paradigm for managing the treatment of cancer patients. However, many challenges must be overcome to efficiently implement the transition of next-generation sequencing from research applications to routine clinical practice, including using specimens commonly available in the clinical setting; determining how to process, store, and manage large amounts of sequencing data; determining how to interpret and prioritize molecular findings; and coordinating health professionals from multiple disciplines.

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