PCMR: a comprehensive precancerous molecular resource.

Area of Science:

• Oncology
• Bioinformatics
• Genomics

Background:

• Early detection of precancerous lesions is vital for reducing cancer morbidity and mortality.
• Comprehensive molecular profiling offers insights into early carcinogenesis.
• A lack of integrated, curated data on molecular signatures hinders precancer research.

Purpose of the Study:

• To introduce the PreCancerous Molecular Resource (PCMR), an integrated data repository for precancerous molecular signatures.
• To facilitate a deeper understanding of precancerous processes through multi-omic data analysis.
• To support advancements in early cancer detection and intervention strategies.

Main Methods:

• Compilation of 25,828 molecular profiles from precancerous samples across 35 cancer types.
• Inclusion of transcriptomic, proteomic, and epigenomic data from diverse sample sources (tissue, liquid biopsies, cell lines, organoids).
• Generation of 62,566 precancer-gene associations using differential analysis and large language model text-mining (ChatGPT).

Main Results:

• The PCMR dataset encompasses a wide range of precancerous lesions and molecular data types.
• Significant precancer-gene associations were identified and validated for biological and clinical relevance.
• The resource demonstrates reliability and significance for studying precancerous molecular signatures.

Conclusions:

• The PreCancerous Molecular Resource (PCMR) provides a valuable, integrated platform for precancer research.
• PCMR facilitates the study of molecular alterations in early carcinogenesis.
• This resource has the potential to improve patient outcomes through enhanced early detection and intervention.