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. 2018 Feb 21;9(1):77–102. doi: 10.1007/s13167-018-0128-8

Table 2.

Examples of the application of NGS in cancer research

Author and published data Cancer Sample source The number of sequencing sample Platform The significant of result in PPPM
Marchetti et al. 2014 [49] Non-small-cell lung cancer (NSCLC) DNA from blood circulating tumor cells (CTCs) 59 (37 NSCLC with EGFR mutation, 10 breast cancer without EGFR mutation and 12 healthy donors) Roche 454 GS junior Analysis of CTCs based on CellSearch System and NGS is a reliable method to detect EGFR mutation, which have important significance in stratifying patients
Vignot et al. 2013 [7] NSCLC DNA from archived surgical samples 30 (15 pairs of primary matched metastatic tumor tissues) HiSeq2000 (Illumina, San Diego, CA) Genomic somatic alternations of primary tumor tissue may provide much of the relevant information required to guide treatment on recurrence
Hagemann et al. 2014 [50] NSCLC DNA from formalin-fixed, paraffin-embedded (FFPE) tumor tissue 209 (147 adenocarcinoma, 4 large cell neuroendocrine, 9 poorly differentiated, 6 sarcomatoid, 36 squamous cells) Illumina HiSeq 2000, MiSeq, HiSeq 2500 Based on NGS well-chosen FFPE tissue can provide relevant genomic information such as potential actionable mutations
Beltran et al. 2012 [51] Advanced prostate cancer (PCa) DNA from formalin-fixed, paraffin-embedded (FFPE) tumor tissue 45 (25 metastatic castration resistant PCa, 4 metastatic hormone-naive PCas, and 16 primary localized PCas) HiSeq2000® (Illumina-Solexa) Based on NGS, comprehensively genomics information derived from FFPE tissue has the potential to select appropriate targeted therapy patients, discover new biomarkers, drug targets
Berger et al. 2011 [52] PCa DNA from tumor tissue 14 (7 tumor/normal tissue pairs) Illumina GA II sequencer The first whole genome sequencing analysis of human prostate cancer promising to establish genomics criterion to stratify patients, uncover mechanisms of carcinogenesis and identifies novel targets for therapeutic intervention
Weisman et al. 2016 [53] Breast cancer DNA from triple negative breast cancer tissue 78 (39 tumor/normal tissue pairs) HiSeq2000® (Illumina-Solexa) This study identified the triple negative breast cancers with apocrine differentiation as a distinct subset, which elevate the precision treatment of triple negative breast cancer
Janku et al. 2014 [54] Hepatocelluar carcinoma(HCC) DNA from archived surgical samples 14 (4 liver biopsy, 3 liver resection, 1 liver transplant, 4 metastatic lesion, 2 not available) HiSeq2000® (Illumina-Solexa) This study provide a comprehensive genomic profiling of advanced HCC and the result of targeted therapy and highlight the important role of NGS based genomics in cancer research
Ross et al. 2014 [55] Intrahepatic cholangiocarcinomas (ICC) DNA from formalin-fixed, paraffin-embedded (FFPE) tumor tissue 28 (16 liver biopsies, 10 liver resections, 1 in lymph node metastasis, 1 in lung metastasis) (Illumina HiSEquation 2000 (Illumina Inc., San Diego, CA) This study provide a comprehensive genomic profiling of ICC, in which genomic alternations have the potential to determine the personal therapies and discover novel druggable target
Ward et al. 2016 [56] Bladder cancer DNA from urine cell pellets 231 (120 primary bladder cancer, 20 non-cancer, 91 bladder cancer patients post-TURBT) Illumina MiSeq This non-invasion method detecting reported bladder cancer mutations based on sequencing of DNA from urine cell pellets has 70% sensitivity and 97% specificity
Liang et al. 2012 [57] Pancreatic adenocarcinoma (PA) DNA from tumor tissue and peripheral blood mononuclear cells (control) 6 (3 paired tumor/normal samples) Illumina HiSeq 2000 The whole genome sequencing generated comprehensive genomic information of 3 PA patients provide individually potential tumorigenic mechanisms and visibe therapeutic targets
Kim et al. 2014 [58] Bladder cancer DNA from tumor tissue and peripheral blood mononuclear cells (control) 218 (109 patients with tumor tissue and germline blood) Illumina HiSeq 2000/2500 This study demonstrated the relationship between genomic mutations and treatment outcomes, and genomic markers can guide personal treatment and elevate the therapy efficiency