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Comparative Genomic Analysis of Cancer-Associated Mutations across Different Tumour Types: Insights Into Shared and Unique Therapeutic TargetsMicheal Abimbola Oladosu, Moses Adondua Abah, Franklin Ogonna Ede, Oladapo Abiola Balogun, Ifeoluwa Emmanuel Adeniran, Marvellous Inioluwa Oluwadare, Anthony Nduka Kokelu, Olaide Ayokunmi Oladosu, Tanaya Mukharjee
Micheal Abimbola Oladosu, Moses Adondua Abah, Franklin Ogonna Ede, Oladapo Abiola Balogun, Ifeoluwa Emmanuel Adeniran, Marvellous Inioluwa Oluwadare, Anthony Nduka Kokelu, Olaide Ayokunmi Oladosu, Tanaya Mukharjee, Anthony Olalekan Akande. Abstract | Download PDF | | Post | Background:
Advancements in cancer genomics have revealed that cancers developing from various organs typically share common genetic changes while also having distinctive mutational fingerprints.
Aim:
This study conducted a comparative examination of cancer-associated mutations across four main tumour types: breast, lung, colorectal, and melanoma, using integrated data from The Cancer Genome Atlas and the Catalogue of Somatic Mutations in Cancer.
Methods:
Through bioinformatics-driven mutation profiling, pathway enrichment, and immunogenomic characterization, we discovered both pan-cancer driver mutations (e.g., TP53, KRAS, PIK3CA) and tumour-specific alterations with therapeutic significance.
Results:
Shared carcinogenic pathways such as PI3K/AKT/mTOR and MAPK were implicated across cancers, whereas unique pathways such as Deoxyribonucleic Acid mismatch repair in colorectal cancer and immune evasion in melanoma highlighted tissue-specific vulnerabilities. Additionally, the study of tumour mutational burden and microsatellite instability informed immunotherapy categorisation.
Conclusion:
These findings underline the potential for both tumour-agnostic and personalised therapy methods, advancing the goals of precision oncology.
Key words: Cancer genomes; Driver mutations; Tumor heterogeneity; Therapeutic targets; Precision oncology; Immunogenomics.
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Bibliomed Article Statistics 11
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| D O W N L O A D S | | 03 | | | 2026 | |
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