Integration of Next-generation Sequencing and Immune Checkpoint Inhibitors in Targeted Symptom Control and Palliative Care in Solid Tumor Malignancies: A Multidisciplinary Clinician Perspective

将下一代测序和免疫检查点抑制剂整合应用于实体瘤恶性肿瘤的靶向症状控制和姑息治疗:多学科临床医生的视角

阅读:2

Abstract

The molecular characterization of solid tumor malignancies with respect to tumorgenesis, risk stratification, and prognostication of chemotherapeutic side effects is multi-faceted. Characterizing these mechanisms requires a detailed understanding of cytogenetics and pharmacology. In addition to the standard palliative care interventions that address issues such as fatigue, neuropathy, performance status, depression, nutrition, cachexia, anxiety, and medical ethics, we must also delve into individual chemotherapy side effects. Comprehending these symptoms is more complex with the advent of broader targeted therapies. With the advent and initiation of Foundation Medicine (FMI) testing, we have been able to tailor regimens to the individual genetics of the patient. Next-generation sequencing (NGS) is a bioinformatic analysis used in order to create a targeted effort to understand the complex genetics of a vast array of malignancies. Through the process known as high-throughput sequencing we, as clinicians, can obtain more real-time genetic data and incorporate the information into our reasoning process. The process involves a broad manner in which deoxyribonucleic acid (DNA) sequence data is obtained including genome sequencing and resequencing, protein-DNA or proteinomics, chromatin immunoprecipitation (ChIP)-sequencing, ribonucleic acid (RNA) sequencing, and epigenomic analysis. High-throughput sequencing techniques including single molecule real-time sequencing, ion semiconductor sequencing, pyrose sequencing, sequencing by synthesis, sequencing by ligation, nanopore sequencing, and chain termination (otherwise known as Sanger sequencing) have expanded the realm of NGS and clinicians options.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。