My research integrates genetics, epigenetic regulation, DNA damage and repair biology, and the cervicovaginal microbiome to understand the molecular drivers of women’s cancers, particularly HPV-associated disease. I focus on how genetic variation, epigenetic instability, and microbial dysbiosis converge to shape tumor evolution, immune signaling, and therapeutic response, with the goal of identifying mechanism-driven biomarkers and precision treatment strategies.
🧬+🧫 Microbiome–Epigenome–DNA Repair Axis
I investigate how shifts in the cervicovaginal microbiome—especially the transition from Lactobacillus dominance to Gardnerella-driven dysbiosis—reshape host epigenetic states, DNA repair efficiency, inflammation, and HPV persistence.
Aim: To uncover microbial drivers of therapy response and identify multi-layered biomarkers for cervical cancer.
What I study:
Microbiome signatures and microbial imbalance
Microbiome-driven epigenetic reprogramming
Microbial metabolites influencing genome stability
Host–microbial interactions affecting HPV biology
Approach: Microbiome profiling → epigenetic mapping → DNA repair readouts → integrated modeling
A mechanistic framework connecting microbial ecology to drug sensitivity and disease progression in women’s cancers.
🧬DNA Damage Response (DDR) & Repair Pathways in Treatment Sensitivity
My work focuses on how tumors detect, process, and repair therapy-induced DNA damage. Genes like MGMT, XRCC1, XRCC4, and OGG1 play decisive roles in determining whether cancer cells die or evolve resistance.
Aim: To define DNA repair pathway defects that can predict or modulate chemoradiotherapy response.
What I study:
Methylation and expression of DNA repair genes
Base excision repair & homologous recombination efficiency
MGMT-mediated resistance mechanisms
Genome instability signatures
Approach: Gene expression profiling → promoter methylation → functional DDR assays → survival correlations
Identification of actionable DNA repair biomarkers that can guide treatment intensification or sensitization strategies.
🧪Epigenetic Reprogramming in Tumor Evolution & Therapy Response
Cancer cells constantly remodel their epigenetic landscape to survive stress, evade immunity, and resist treatment. I study how methylation changes, histone modifications, and ncRNA networks influence phenotypic plasticity in cervical and other women’s cancers.
Aim: To map epigenetic states that predict therapeutic response and highlight epigenetic vulnerabilities.
What I study:
Promoter methylation & chromatin accessibility
Histone modification shifts under therapy
Non-coding RNA–mediated regulatory networks
Stress-induced epigenetic remodeling
Approach: Methylation profiling → chromatin analysis → ncRNA/miRNA mapping → functional reprogramming assays
Epigenetic markers and targets that can be leveraged for therapy sensitization or risk stratification.
My overarching goal is to bridge molecular discoveries with clinical decision-making. By integrating genomics, epigenomics, microbiome data, and treatment outcomes, I work toward building predictive tools that support personalized therapy planning in cervical cancer.
Aim: To develop clinically useful biomarkers and predictive models that improve treatment accuracy and reduce therapy failure.
What I study:
Pharmaco-genetic and pharmaco-epigenetic regulators
Clinical treatment response signatures
HPV–host molecular interactions
Predictors of chemoradiotherapy success or failure
Approach: Multi-omics integration → biostatistics & ML modeling → clinical validation
Risk prediction frameworks and precision oncology tools tailored for women’s cancers, especially in Indian and global underserved populations.