Colorectal cancer (CRC) exhibits substantial molecular heterogeneity, leading to highly variable responses to targeted therapies among patients. To address this clinical variability and enable personalized treatment, the identification and application...
Colorectal cancer (CRC) exhibits substantial molecular heterogeneity, leading to highly variable responses to targeted therapies among patients. To address this clinical variability and enable personalized treatment, the identification and application of predictive biomarkers are essential. Predictive biomarkers provide molecular indicators that can anticipate tumor sensitivity or resistance to specific drugs. Their use can reduce unnecessary treatment, shorten therapy duration and costs, minimize side effects, and improve overall treatment efficiency. This thesis aims to investigate the genomic determinants of drug sensitivity in CRC and to establish patient-tailored targeted therapy strategies.
First, PART 1 examines PIK3CA mutations, which encode the p110α subunit of Class I phosphoinositide 3-kinase (PI3K), as potential negative predictive biomarkers for PIM1 (proviral integration site for Moloney murine leukemia virus 1) inhibitors. Previous studies have shown that PIK3CA mutations confer relative resistance to PIM1 inhibitors in prostate and non-small-cell lung cancers, likely due to persistent activation of the PI3K–AKT–mTOR signaling cascade that functionally overlaps with PIM kinase signaling. However, this phenomenon has not yet been systematically evaluated in CRC, and it remains unclear whether PIK3CA mutations elicit similar resistance in this tumor context. Therefore, assessing PIK3CA status alongside the response to PIM inhibitors in CRC may help establish PIK3CA as a predictive biomarker for guiding PIM1-targeted therapy.
PART 2 investigates whether alterations in TP53 and DNA-dependent protein kinase (DNA-PK) can serve as predictive biomarkers for response to the PARP inhibitor olaparib. Although olaparib is known to be effective primarily in tumors with BRCA1/2 mutations, CRC represents an exception in which therapeutic outcomes appear to be influenced by TP53 genotype. Previous research has demonstrated that TP53–wild-type CRC cell lines are sensitive to olaparib, whereas TP53-mutant lines exhibit resistance, with several mechanisms proposed to explain this differential response. Given that DNA-PK is one of the major regulators of p53 activation, this study further explores whether DNA-PK alterations enhance olaparib efficacy. By evaluating and validating the impact of DNA-PK alterations on olaparib response, PART 2 aims to identify novel predictive biomarkers that could refine patient selection and improve the clinical applicability of PARP inhibition in CRC.
This thesis highlights the value of genomic status of specific genes for predictive biomarker discovery in CRC. By identifying PIK3CA mutation mediated resistance to PIM1 inhibitors and TP53/DNA-PK–dependent sensitivity to olaparib, it provides a foundation for patient-tailored therapies that may enhance efficacy, reduce unnecessary treatments, and optimize clinical outcomes.