Publications by authors named "D S Rykunov"
Article Synopsis
- Despite extensive research on genomic changes in glioblastoma, the survival rate remains under 5% after five years.
- This study aims to broaden the understanding of high-grade glioma by combining various biological analyses (proteomics, metabolomics, etc.) to identify complex regulatory mechanisms involved in tumor growth and progression.
- Results from analysis of 228 tumors indicate significant variability in early-stage changes, but they converge on common outcomes affecting protein interactions and modifications, highlighting PTPN11's crucial role in high-grade gliomas.
Article Synopsis
- Despite the notable advancements in immunotherapy for cancer, only a small percentage (less than 20%) show lasting responses to immune checkpoint blockade, leading researchers to consider combination therapies that target multiple immune evasion strategies.
- Researchers analyzed data from over 1,000 tumors across ten cancers to identify seven distinct immune subtypes, examining their unique genomic, epigenetic, transcriptomic, and proteomic characteristics.
- By investigating kinase activities linked to these immune subtypes, the study uncovered potential therapeutic targets that could improve future immunotherapy approaches and precision medicine.
Article Synopsis
- - The National Cancer Institute's CPTAC focuses on analyzing tumors using a proteogenomic approach, which combines genomic data with proteomic information to better understand cancer.
- - The consortium has developed a comprehensive dataset that includes genomic, transcriptomic, proteomic, and clinical data from over 1000 tumors across 10 different groups, aimed at enhancing cancer research.
- - The CPTAC team addresses challenges in integrating and analyzing multi-omics data, especially the complexities arising from combining nucleotide sequencing with mass spectrometry proteomics information.
We characterized a prospective endometrial carcinoma (EC) cohort containing 138 tumors and 20 enriched normal tissues using 10 different omics platforms. Targeted quantitation of two peptides can predict antigen processing and presentation machinery activity, and may inform patient selection for immunotherapy. Association analysis between MYC activity and metformin treatment in both patients and cell lines suggests a potential role for metformin treatment in non-diabetic patients with elevated MYC activity.
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- The study investigates how pelvic inflammation affects the biology and aggressiveness of prostate cancer (PCa) using data from 2,278 patients who had robot-assisted laparoscopic prostatectomy between 2013 and 2019.
- It finds that pelvic inflammation is a significant predictor of adverse pathology (AP) and impacts clinical outcomes such as biochemical recurrence (BCR).
- Key findings include elevated pro-inflammatory cytokines and changes in gene expression related to cancer progression in patients with pelvic inflammation, indicating it worsens PCa and promotes a more aggressive phenotype.