LncRNA CDKN2B-AS1 C-Allele: A High-Risk Genetic Determinant in Cancer Susceptibility and Progression Impacting Immune Cell Modulation Dynamics with Therapeutic Implications
Makdessi, E. W.; El-Hamaoui, S.; El-Ayoubi, F.; Naboulsi, M.; Wehbe, D.; Ibrahim, N.; Makdissy, N.
Show abstract
Examining LncRNA-driven cancer biology, our study represents the first comprehensive investigation of the LncRNA CDKN2B-AS1 across multiple cancer types, revealing its genetic basis for cancer susceptibility, and associations with thromboembolic risks and immunological dynamics. Stratification across hematological and non-hematological cancers revealed predominant prevalence rates of the CDKN2B-AS1 C-allele, notably higher in solid tumor malignancies, peaking at 86.8% in colorectal carcinoma (CRC). CRC-C-carriers exhibited worse outcomes, marked by reduced overall survival, increased venous-thromboembolism, elevated frequencies of thromboembolic-associated gene polymorphisms and BRAF mutations, and decreased MSI-H. Key tumor progression aspects in CRC-C-carriers included an inflammatory profile (reduced Th2 and increased Th1/Th17 cells), angiogenesis and endothelial activity (elevated CD14+, CD31+, CD144+, and VEGFR2+ cells), decreases in tumor suppressor-CD146+ cells (elevated tissue-adherent TA-EPCs lacking CD146), and marked elevation in tumor activity markers (Ki-67, CEA, CA 19-9, EGFR, VEGF-A, PD-1, and CTLA-4). Palbociclib significantly improved progression-free survival relative to baseline, primarily through suppression of tumor cell proliferation, with a more pronounced clinical and biomarker response observed in CDKN2B-AS1 non-C-allele carriers, whereas C-allele carriers exhibited an attenuated response consistent with relative treatment resistance. This underscores the multifaceted role of LncRNA CDKN2B-AS1, presenting it not just as a genetic determinant but also as a potential prognostic biomarker in cancer dynamics, paving the way for targeted personalized interventions, representing promising advancements in cancer therapeutics.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A novel molecular analysis approach in colorectal cancer suggests new treatment opportunities 96%
- Ethnicity-Specific Molecular Alterations in MAPK and JAK/STAT Pathways in Early-Onset Colorectal Cancer 95%
- Deep sequencing of early T stage colorectal cancers reveals disruption of homologous recombination repair in microsatellite stable tumours with high mutational burdens 95%
Similar papers in this journal
- Dissected subgroups predict the risk of recurrence of stage II colorectal cancer and select rational treatment 96%
- Exposing Limitations of Clinical Laboratory Tests in COVID-19 and the Promise of Immunological Biomarkers 93%
- Profiling tumor immune microenvironment of non-small cell lung cancer using multiplex immunofluorescence 93%
Similar papers in this journal
- Detecting PI3K and TP53 Pathway Disruptions in Early-Onset Colorectal Cancer Among Hispanic/Latino Patients 95%
- Circulating serum miRNAs predict response to platinum chemotherapy in high-grade serous ovarian cancer 95%
- Sodium-glucose cotransporter 2 inhibitors versus dipeptidyl peptidase 4 inhibitors on new-onset overall cancer in type 2 diabetes mellitus: a population-based study 93%
Similar papers in this journal
- Inflammatory state of lymphatic vessels and miRNA profiles associated with relapse in ovarian cancer patients 96%
- Lymph Node Morphology in Stage II Colorectal Cancer 94%
- Molecular signatures for inflammation vary across cancer types and correlate significantly with tumor stage, gender and vital status of patients 94%
Similar papers in this journal
- Systems biomedicine of primary and metastatic colorectal cancer reveals potential therapeutic targets 95%
- AATF Inhibition Exerts Antiangiogenic Effects AgainstHuman Hepatocellular Carcinoma 94%
- Patient stratification of clear cell renal cell carcinoma using the global transcription factor activity landscape derived from RNA-seq data 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.