Richa Chauhan

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Cervical cancer is highly prevalent in India, with most cases being diagnosed at advanced stages. Despite the standard concurrent chemoradiotherapy (CCRT), 30–40% of patients' experience treatment failure, underscoring the need for improved therapeutic strategies. Understanding resistance mechanisms and identifying predictive biomarkers are crucial to improve treatment efficacy and enable personalized medicine. We conducted a comprehensive genomic and proteomic analysis to identify molecular signatures associated with CCRT. We identified recurrent mutations in phosphatidylinositol 4,5‐bisphosphate 3‐kinase catalytic subunit alpha isoform ( PIK3CA ) and histone‐lysine N‐methyltransferase 2D ( KMT2D ), with mutation signature analysis revealing a prevalent DNA dC‐ > dU‐editing enzyme, APOBEC mutagenesis signature. Distinct genomic alterations, including epidermal growth factor receptor ( EGFR ) amplification and serine/threonine kinase 11 ( STK11 ) deletion, were exclusively observed in the chemoradiation‐resistant cohort. Proteomic analysis identified 73 significantly dysregulated proteins, with syntaxin‐3 (STX3), SERPINB7, lipopolysaccharide‐binding protein (LBP), EMILIN2, and ribosyldihydronicotinamide dehydrogenase (quinone) (NQO2) being the top five upregulated proteins. Integrative pathway analysis highlighted an active DNA repair pathway in the resistant cohort. This study presents the first proteogenomic profiling of cervical cancer in the Indian population, linking molecular alterations to CCRT response. STK11 and STX3 emerged as predictive biomarkers for poor response, whereas EGFR presents as a promising therapeutic target in the resistant group.

Pre-treatment hematological parameters as a cost effective predictive marker for response to concurrent chemo radiation in locally advanced cervical cancer

Locally advanced cervical cancer is still a major cause of mortality in developing countries. Recently, personalized medicine has changed the treatment paradigm for many solid cancers but no robust biomarkers has yet been validated for predicting response to chemo radiation in cervical cancer patients. To assess the role of hematological parameters as a cost-effective predictive marker of response to concurrent chemo radiation in cervical cancer patients. This is a retrospective analysis of 90 cervical cancer patients treated with concurrent chemo radiation in a tertiary cancer center. Clinical details of the patients were extracted from the case records. For end point evaluation, the pre-treatment levels of hemoglobin, neutrophil, lymphocyte, platelet, platelet lymphocyte ratio (PLR) and neutrophil lymphocyte ratio (NLR) were compared and statistically analyzed between responders and non-responders. The optimal cutoff values of hematological parameters were estimated by the receiver operating characteristics (ROC) curve. Out of 90 patients, 60 (66.66%) were complete responders and remaining 30 (33.33%) were non-responders. The mean value of platelet, NLR, and PLR was significantly higher in the non-responder group. ROC curve analysis showed the optimal cut-off value of pre-treatment Hb, PLT, NLR and PLR to be 11 gm/dl, 3, 177 × 109/L, and 70 respectively. Our study suggests that simple hematological markers like NLR, PLT count and PLR could be used as a cost effective pretreatment predictive marker for response to chemo radiation in cervical cancer patients.