Literature DB >> 31264435

Lung Cancer Genomics.

Ankur R Parikh1.   

Abstract

The landscape of lung cancer treatment is rapidly evolving with the use of genomic testing which helps identify specific mutations or resistance mutations for these heterogenous tumors. Advanced lung cancer has a very poor prognosis but identifying other treatment options based on genomic profiling of the tumor can lead to improved outcomes. Evidence of benefit for genomic testing in lung cancer has now resulted in this test becoming part of national guidelines. There are challenges with genomic testing which need to be understood as well as understanding how to apply test results. These results can help identify treatment options or may serve as predictors to respond to specific therapies.
CONCLUSION: In the current era of precision medicine, it is imperative clinicians be familiar with genomic testing and be able to offer it to their cancer patients, specifically those with advanced lung cancer.
Copyright © 2019 by Academy of Sciences and Arts of Bosnia and Herzegovina.

Entities:  

Keywords:  Genomics; Immunotherapy; Lung Cancer; Next-Generation Sequencing; Targeted Therapy

Year:  2019        PMID: 31264435     DOI: 10.5644/ama2006-124.244

Source DB:  PubMed          Journal:  Acta Med Acad        ISSN: 1840-1848


  6 in total

1.  A model of twenty-three metabolic-related genes predicting overall survival for lung adenocarcinoma.

Authors:  Zhenyu Zhao; Boxue He; Qidong Cai; Pengfei Zhang; Xiong Peng; Yuqian Zhang; Hui Xie; Xiang Wang
Journal:  PeerJ       Date:  2020-09-24       Impact factor: 2.984

2.  Analysis of whole-exome data of cfDNA and the tumor tissue of non-small cell lung cancer.

Authors:  Yuanzhou Wu; Qunqing Chen; Qiangzu Zhang; Man Li; Hui Li; Longfei Jia; Yang Huang; Jian Zhang
Journal:  Ann Transl Med       Date:  2021-09

Review 3.  A narrative review of prognosis prediction models for non-small cell lung cancer: what kind of predictors should be selected and how to improve models?

Authors:  Yuhang Wang; Xuefeng Lin; Daqiang Sun
Journal:  Ann Transl Med       Date:  2021-10

4.  Traditional Chinese Medicine Syndromes are Associated with Driver Gene Mutations and Clinical Characteristics in Patients with Lung Adenocarcinoma.

Authors:  Jili Yang; Haiyan Lu; Niancai Jing; Bo Wang; Huanyu Guo; Shoukun Sun; Yue Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2022-10-07       Impact factor: 2.650

5.  Enhancer-associated regulatory network and gene signature based on transcriptome and methylation data to predict the survival of patients with lung adenocarcinoma.

Authors:  Shihao Huang; Shiyu Chen; Di Zhang; Jiamei Gao; Linhua Liu
Journal:  Front Genet       Date:  2022-09-23       Impact factor: 4.772

6.  Network Pharmacology Study on the Pharmacological Mechanism of Cinobufotalin Injection against Lung Cancer.

Authors:  Yun Mao; Xi Peng; Peng Xue; Dianrong Lu; Linlu Li; Shijie Zhu
Journal:  Evid Based Complement Alternat Med       Date:  2020-02-17       Impact factor: 2.629

  6 in total

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