scholarly journals Next-generation sequencing and histological response assessment in peritoneal metastasis from pancreatic cancer treated with PIPAC

2020 ◽  
Vol 74 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Malene Nielsen ◽  
Martin Graversen ◽  
Signe Bremholm Ellebæk ◽  
Thomas Kielsgaard Kristensen ◽  
Claus Fristrup ◽  
...  

BackgroundPeritoneal metastasis from pancreatic cancer (PM-PC) may be treated with repeated pressurised intraperitoneal aerosol chemotherapy (PIPAC). Utility of next-generation sequencing (NGS) to detect cancer-related mutations in peritoneal quadrant biopsies (QBs) and peritoneal fluid (PF) after systemic and PIPAC treatment has not been evaluated. Around 90% of pancreatic cancers (PCs) harbour a KRAS mutation, making PC ideal for the evaluation of this aspect.AimsEvaluation of PM-PC in terms of (1) histological response to PIPAC using Peritoneal Regression Grading Score (PRGS), (2) clinical characteristics and (3) frequency of mutations in QBs and PF before and after PIPAC.MethodsPeritoneal QBs and PF were obtained prior to each PIPAC. NGS for 22 cancer-related genes was performed on primary tumours, QBs and PFs. Response was assessed by the four-tiered PRGS.ResultsSixteen patients treated with a median of three PIPAC procedures were included. The mean PRGS was reduced from 1.91 to 1.58 (p=0.02). Fifty-seven specimens (13 primary tumours, 2 metastatic lymph nodes, 16 PFs and 26 QB sets) were analysed with NGS. KRAS mutation was found in 14/16 patients (87.50%) and in QBs, primary tumours and PF in 8/12 (66.67%), 8/13 (61.53%) and 6/9 (66.67%). The median overall survival was 9.9 months (SE 1.5, 95% CI 4.9 to 13.9).ConclusionPIPAC induces histological response in the majority of patients with PM-PC. KRAS mutation can be found in PM-PC after PIPAC at a frequency similar to the primaries. NGS may be used to detect predictive mutations in PM-PC of various origins, also when only post-PIPAC QBs or PFs are available.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16026-e16026
Author(s):  
Si Tao ◽  
Xin Liu ◽  
Chunhui Jin ◽  
Rongrong Chen

e16026 Background: Peritoneum is a common site of recurrence and metastasis of gastric cancer. The traditional clinical methods have poor sensitivity for the diagnosis of peritoneal metastasis, and there is no effective marker for predicting peritoneal metastasis of gastric cancer. In this study, the genetic profiles of primary tumors in gastric cancer patients with and without peritoneal metastasis, as well as the genetic alterations before and after metastasis in the same patient were analyzed to explore the genetic alterations associated with peritoneal metastasis. Methods: 232 patients with stage Ⅳ gastric cancer were divided into PM group and non-PM group according to whether there was peritoneal metastasis, DNA based Next Generation Sequencing (NGS) with a 1021 gene panel was performed on their samples. Clinical information was obtained synchronously from physicians and surgeons. Results: There was no significant difference in baseline clinical characteristics between patients in PM and non-PM groups. Molecular analysis revealed that in the PM group, the incidence of CDH1, CDH23, HDAC1, IDH1, KRAS, MED12, RHOA, NOTCH2, TGFBR1 mutations was significantly higher in PM group than that in non-PM group, and these mutated genes were mostly located in wnt/β- catenin and MAPK signaling pathway. On the contrary, the incidence of ERBB2 and CCNE1 amplification was significantly higher in non-PM group than in the other group. Further analysis of samples before and after peritoneal metastasis of 13 patients did not find significant differences in genetic alterations. Conclusions: Compared with other sites, the primary tumor of gastric cancer patients with peritoneal metastasis seems to have its unique molecular characteristics, and large-panel NGS can help us identify this part of patients. Future research may need to clarify whether more radical treatment strategies are needed for these patients.


2022 ◽  
Vol 8 ◽  
Author(s):  
Wei Wu ◽  
Yu Liu ◽  
Yuzhi Jin ◽  
Lulu Liu ◽  
Yixuan Guo ◽  
...  

Pancreatic cancer is one of the most leading causes of cancer death worldwide. The rapid development of next-generation sequencing (NGS) and precision medicine promote us to seek potential targets for the treatment of pancreatic cancer. Here, we report a female pancreatic cancer patient who underwent radical surgical excision after neoadjuvant chemotherapy. After the surgery, the patient underwent gemcitabine + S-1 therapy, capecitabine + albumin paclitaxel therapy and irinotecan therapy successively, however, MRI review revealed tumor progression. The surgical tissue sample was subjected to next-generation sequencing (NGS), and PALB2 germline mutation and KRAS somatic mutation were identified. The patient then received olaparib (a PARP inhibitor) + irinotecan and the disease stabilized for one year. Due to the increased CA19-9, treatment of the patient with a combination of trametinib (a MEK inhibitor) and hydroxychloroquine resulted in stable disease (SD) with a significant decrease of CA19-9. This case demonstrated that the NGS may be a reliable method for finding potential therapeutic targets for pancreatic cancer.


Author(s):  
Altuğ Koç ◽  
Elçin Bora ◽  
Tayfun Cinleti ◽  
Gizem Yıldız ◽  
Meral Torun Bayram ◽  
...  

2020 ◽  
Vol 16 ◽  
Author(s):  
Pelin Telkoparan-Akillilar ◽  
Dilek Cevik

Background: Numerous sequencing techniques have been progressed since the 1960s with the rapid development of molecular biology studies focusing on DNA and RNA. Methods: a great number of articles, book chapters, websites are reviewed, and the studies covering NGS history, technology and applications to cancer therapy are included in the present article. Results: High throughput next-generation sequencing (NGS) technologies offer many advantages over classical Sanger sequencing with decreasing cost per base and increasing sequencing efficiency. NGS technologies are combined with bioinformatics software to sequence genomes to be used in diagnostics, transcriptomics, epidemiologic and clinical trials in biomedical sciences. The NGS technology has also been successfully used in drug discovery for the treatment of different cancer types. Conclusion: This review focuses on current and potential applications of NGS in various stages of drug discovery process, from target identification through to personalized medicine.


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