| Literature DB >> 29659903 |
Yoichi Naito1, Hideaki Takahashi1, Kohei Shitara1, Wataru Okamoto1, Hideaki Bando1, Takeshi Kuwata1, Yasutoshi Kuboki1, Shingo Matsumoto1, Izumi Miki1, Takeharu Yamanaka2, Atsushi Watanabe3, Motohiro Kojima1.
Abstract
BACKGROUND: To confirm the feasibility and explore the clinical applicability of amplicon sequencing by next generation sequencing (NGS) of biopsy samples from patients with advanced solid tumors, we conducted a prospective study.Entities:
Mesh:
Year: 2018 PMID: 29659903 PMCID: PMC5974784 DOI: 10.1093/jjco/hyy052
Source DB: PubMed Journal: Jpn J Clin Oncol ISSN: 0368-2811 Impact factor: 3.019
Figure 1.CONSORT of patients and samples. A total of 232 patients were enrolled, and in 208 patients (89.7%) sequencing was successfully performed.
Patient characteristics
| Variables | All sequenced patients ( | Ion Ampliseq ver 1.0 ( | Ion Ampliseq ver 2.0 ( |
|
|---|---|---|---|---|
| Median age (range) | 64 (20–87) | 64 (29–81) | 65 (20–87) | 0.814 |
| Female | 80 (38.5) | 36 (37.9) | 44 (38.9) | 0.878 |
| PS | 0.285 | |||
| 0 | 128 (61.5) | 56 (58.9) | 72 (63.7) | |
| 1 | 59 (28.4) | 29 (30.5) | 30 (26.5) | |
| 2 | 17 (8.2) | 7 (7.4) | 10 (8.8) | |
| ¾ | 4 (1.9) | 3 (3.2) | 1 (0.9) | |
| Stage | 0.150 | |||
| 0–3 | 63 (30.3) | 27 (28.4) | 36 (31.9) | |
| 4 | 145 (69.7) | 68 (71.6) | 77 (68.1) | |
| Disease | 0.336 | |||
| Gastric | 65 (31.3) | 26 (27.4) | 39 (34.5) | |
| Colorectal | 41 (19.7) | 19 (20.0) | 22 (19.5) | |
| Breast | 20 (9.6) | 9 (9.5) | 11 (9.7) | |
| Lung | 15 (7.2) | 12 (12.6) | 3 (2.7) | |
| Liver | 12 (5.8) | 8 (8.4) | 4 (3.5) | |
| Pancreas | 7 (3.4) | 2 (2.1) | 5 (4.4) | |
| Unknown primary | 7 (3.4) | 3 (3.2) | 4 (3.5) | |
| Esophagus | 6 (2.9) | 2 (2.1) | 4 (3.5) | |
| Lymphoma | 6 (2.9) | 3 (3.2) | 3 (2.7) | |
| GIST | 5 (2.4) | 2 (2.1) | 3 (2.7) | |
| Soft tissue sarcoma | 4 (1.9) | 2 (2.1) | 2 (1.8) | |
| Other | 20 (9.6) | 7 (7.4) | 13 (11.5) | |
| Line of previous chemotherapy | 0.797 | |||
| 0 | 159 (76.4) | 73 (76.8) | 86 (76.1) | |
| 1 | 29 (13.9) | 12 (12.6) | 17 (15.0) | |
| 2 | 14 (6.7) | 6 (6.3) | 8 (7.1) | |
| ¾ | 6 (2.9) | 4 (4.3) | 2 (1.8) | |
| Distant metastasis | ||||
| Liver | 92 (44.2) | 45 (47.4) | 47 (41.6) | 0.403 |
| Brain | 7 (3.4) | 3 (3.2) | 4 (3.5) | 0.879 |
| Lung | 40 (19.2) | 25 (26.3) | 15 (13.3) | 0.017 |
| Bone | 25 (12.0) | 16 (16.8) | 9 (8.0) | 0.050 |
Amount of double-stranded DNA
| Variables | Number of patients | Total amount of double-strand DNA (mean) (ng) | |
|---|---|---|---|
| Samples | <0.001 | ||
| FFPE Block | 171 | 5369.9 | |
| Thin section (10μ × 5 slices) | 37 | 1333.8 | |
| Biopsy site | <0.001 | ||
| Lymph nodes | 25 | 6747.4 | |
| Stomach (endoscopic) | 66 | 5210.2 | |
| Colon (endoscopic) | 39 | 6577.9 | |
| Liver (US-guided) | 41 | 1499.1 | |
| Breast (core-needle biopsy) | 6 | 1905.8 | |
| Other | 31 | 4051.8 |
Figure 2.Frequency of nonsynonymous/nonsense mutations and indels in the entire cohort. TP53 mutations (41.8%) were the most frequently observed protein-altered mutations, followed by KRAS (16.3%), STK11 (12.5%), PIK3CA (12.0%), KIT (12.0%), MLH1 (7.2%), APC (5.8%), CTNNB1 (5.8%), MET (5.8%) and BRAF (4.8%) mutations.
Figure 3.Details of each case and mutation. The proportion of actionable/druggable mutations was 38.9% and detected across the tumor types.