Small-cell lung cancer (SCLC) has traditionally been considered a recalcitrant cancer with a dismal prognosis, with only modest advances in therapeutic strategies over the past several decades. Comprehensive genomic assessments of SCLC have revealed that most of these tumours harbour deletions of the tumour-suppressor genes TP53 and RB1 but, in contrast to non-small-cell lung cancer, have failed to identify targetable alterations. The expression status of four transcription factors with key roles in SCLC pathogenesis defines distinct molecular subtypes of the disease, potentially enabling specific therapeutic approaches. Overexpression and amplification of MYC paralogues also affect the biology and therapeutic vulnerabilities of SCLC. Several other attractive targets have emerged in the past few years, including inhibitors of DNA-damage-response pathways, epigenetic modifiers, antibody-drug conjugates and chimeric antigen receptor T cells. However, the rapid development of therapeutic resistance and lack of biomarkers for effective selection of patients with SCLC are ongoing challenges. Emerging single-cell RNA sequencing data are providing insights into the plasticity and intratumoural and intertumoural heterogeneity of SCLC that might be associated with therapeutic resistance. In this Review, we provide a comprehensive overview of the latest advances in genomic and transcriptomic characterization of SCLC with a particular focus on opportunities for translation into new therapeutic approaches to improve patient outcomes.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41571-024-00914-x | DOI Listing |
Chempluschem
December 2024
Centre for Inorganic Chemistry, Chemistry, Bv 120, e/ 60 y 64, Nº1465, 1900, La Plata, ARGENTINA.
The redox imbalance, caused by depletion or generation of reactive oxygen species (ROS), is a key mechanism by which metal complexes exert anticancer effects. Carbidopa has shown the ability to inhibit the MDA-MB-231 cell line, a highly aggressive triple-negative human breast adenocarcinoma, by inducing reductive stress. The metal complex of carbidopa with zinc (ZnCarbi) was designed to modify carbidopa's structure and exhibited increased cytotoxicity against MDA-MB-231 cells.
View Article and Find Full Text PDFInt Urol Nephrol
December 2024
Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China.
This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learning in renal medicine. Although the study claims to summarize the forefront trends and hotspots in this field, several key issues require further clarification to effectively guide future research.
View Article and Find Full Text PDFDiscov Oncol
December 2024
Department of Thoracic Surgery, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, No. 1500 Zhouyuan Road, Pudong New Area, Shanghai, China.
Lung adenocarcinoma (LUAD) is a common histologic lung cancer with high morbidity and mortality, and most patients have distant metastases at diagnosis. RasGEF Domain Family Member 1C (RASGEF1C) could regulated Alzheimer's disease. However, its function in various cancers, including LUAD, is poorly understood.
View Article and Find Full Text PDFSupport Care Cancer
December 2024
Department of Oncology, University of Calgary, Calgary, Canada.
Purpose: Lung cancer remains one of the most diagnosed cancers in Canada and continues to be the leading cause of cancer deaths in Canada, responsible for 25% of all cancer deaths. Prior studies consistently report poor experiences of people with lung cancers. The study purpose was to explore the reasons for consistently poorer reported experience of people with lung cancer compared to people with gastrointestinal cancers, who previously have reported positive cancer care experiences within the same context, and to better understand key differences that influence patient experience.
View Article and Find Full Text PDFMed Phys
December 2024
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Background: Rapid planning is of tremendous value in proton pencil beam scanning (PBS) therapy in overcoming range uncertainty. However, the dose calculation of the dose influence matrix (D) in robust PBS plan optimization is time-consuming and requires substantial acceleration to enhance efficiency.
Purpose: To accelerate the D calculations in PBS therapy, we developed an AI-D engine integrated into our in-house treatment planning system (TPS).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!