Genome Researches on Lung Cancer
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Respiratory Medicine".
Deadline for manuscript submissions: closed (20 November 2021) | Viewed by 441
Special Issue Editor
Interests: lung cancer; sequencing; immunotherapy; thoracic surgery; thymoma; microbiome; genome analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the past decade, there have been incredible advances in the field of molecular oncology that have improved clinical management of lung cancer and the outcome. Despite this, the drug therapy cure rate at the advanced stage for lung cancers remains inadequately high, and development of further innovative therapeutic strategies is currently desired. Recent advances in sequencing technology, notably the introduction of next-generation sequencing, have enabled rapid, efficient, low-cost, and precise sequencing. Furthermore, extensive application of these latest technologies to basic cancer research has facilitated the in-depth molecular characterization of lung cancer from various perspectives (oncogenesis, tumor phylogeny, diagnosis, progression, metastasis, treatment response, etc.) with higher precision than before.
This Special Issue aims to publish original research papers and review articles related to advances in basic research on genomics of lung cancer. A particular focus will be given to research using sequencing data expected to contribute to the development of novel cancer diagnostics and treatment techniques (including gene therapies) as well as new medical devices and drugs, such as studies on circulating tumor DNA, fusion gene, intratumor heterogeneity, tumor mutation burden, and microbiome. Furthermore, papers discussing cancer cell responses to immunotherapy based on sequence data will also be considered.
Dr. Taichiro Goto
Guest Editor
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Keywords
- lung cancer
- sequencing
- fusion gene
- intratumor heterogeneity
- immunotherapy
- liquid biopsy
- neoantigen
- tumor mutation burden
- microbiome
- genome analysis
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