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Indonesian Journal of Medical Chemistry and Bioinformatics

Abstract

Pancreatic cancer is one of the deadliest cancers in the world. This cancer is caused by multiple factors and mostly detected at late stadium. Biomarker is a marker that can identify some diseases very specific. For pancreatic cancer, biomarker has been recognized using blood sample known as liquid biopsy, breath, pancreatic secret, and tumor marker CA19-9. Those biomarkers are invasive, so we want to identify the disease using a very convenient method. Metabolite is product from cell metabolism. Metabolites can become a biomarker especially from difficult diseases. In this paper, we want to find biomarker from metabolite using machine learning and enrichment. Metabolites data was obtained from Metabolomic workbench, while the detection and identification is done using in silico. From 106 samples, control and cancer, we found 61 metabolites and analyze them. We got 8 metabolites that play important role in pancreatic cancer and found out 2 of them are the most impactful. From that we found that ethanol is one of the best candidate of biomarker that we provide for pancreatic detection cancer. However, the simulation need to be improved to find another biomarker that provide a better marker for prognosis.

Keyword : metabolite, pancreatic, cancer, machine learning

Bahasa Abstract

Kanker pancreas merupakan salah satu penyakit mematikan di dunia. Kanker pancreas disebabkan oleh banyak factor dan biasanya terdiagnosis pada stadium lanjut. Biomarker adalah penentu yang digunakan dalam mendiagnosis suatu penyakit dengan akurat. Pada kanker pancreas terdapat beberapa biomarker yaitu biopsy cairan seperti darah, hembusan napas, secret pancreas, dan juga tumor marker CA19-9. Namun demikian, biomarker tersebut dinilai invasih sehingga saat ini dicari biomarker yang tidak invasive seperti dari metabolit. Metabolit sendiri merupakan hasil metabolism dari sel. Perbedaan metabolit dari sel normal dan kanker dinilai bisa menunjang prognosis kanker pancreas. Data metabolit diambil dari Metabolomic workbench dan identifikasi serta validasi lanjutan dilakukan secara in silico. Sebanyak 106 sampel ditemukan 61 metabolit yang kemudian dilakukan analisis lanjutan. Ditemukan sebanyak 8 metabolit yang memegang peranan penting dalam kanker pancreas. Dari 8 metabolit tersebut ditemukan 2 kandidat biomarker yang sangat penting dalam deteksi kanker. Kandidat biomarker metabolit tersebut adalah etanol dan 3-hydroxybutirat. Namun demikian, simulasi tersebut perlu dilakukan pengulangan dan penambahan data lain untuk mendapatkan biomarker yang lebih akurat dan menunjang diagnosis.

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