AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Caligola software manual11/27/2022 ![]() Therefore, recognizing driver gene modifications has been a central aim of cancer research over the past 30 years, resulting in global initiatives such as The Cancer Genome Atlas (TCGA) ( ) and the Catalog of Somatic Mutations in Cancer (COSMIC) ( Tate et al., 2019) which include a broad collection of large-scale, systematic sequencing studies that constitute comprehensive catalogs of mutational abnormalities in the major tumor types. Identifying cancer as a genetic disease characterized by a set of genomic aberrations, including in-frame insertions or deletions, missense amino acid changes, and large copy number variations, initially ingrained a “cancer cell-centric” vision in the scientific community where cancer cell-intrinsic properties exclusively drove tumorigenesis ( Reddy et al., 1982 Santos et al., 1984 Lengauer et al., 1998 Futreal et al., 2004 Tomlins et al., 2005 Hanahan and Weinberg, 2011). Hence the number of cancer victims will increase in the near future. Unfortunately, the pandemic COVID-19 will have consequences for cancer patients in coming years, since it has been associated with delays in diagnosis as well as interruption of therapeutic treatments and follow-up care. In this review, we describe some of the current single-cell technologies and computational techniques applied for immune-profiling the cancer landscape and discuss future directions of how integrating multi-omics data can guide a new “precision oncology” advancement.Ĭancer is one of the leading causes of death worldwide, accounting for nearly 10 million deaths in 2020 ( ). Recent developments in single-cell technologies, such as single-cell RNA transcriptomics, mass cytometry, and multiparameter immunofluorescence, have revolutionized the cancer immunology field, capturing the heterogeneity of tumor-infiltrating immune cells and the dynamic complexity of tenets that regulate cell networks in the tumor microenvironment. Conventional technologies are limited in reaching this goal because they lack high resolution. Profiling the immune contexture of this intricate framework is now mandatory to develop more effective cancer therapies and precise immunotherapeutic approaches by identifying exact targets or predictive biomarkers, respectively. Tumors are not a simple aggregate of transformed cells but rather a complicated ecosystem containing various components, including infiltrating immune cells, tumor-related stromal cells, endothelial cells, soluble factors, and extracellular matrix proteins. ![]()
0 Comments
Read More
Leave a Reply. |