Abstract: A SNP-based model for predicting the occurrence of irAEs induced by immunotherapy. The dbSNP database rs541169 and a single nucleotide polymorphism (SNP) site in the TMEM162 (FAM187B) gene are closely correlated with the occurrence of irAEs. The rs541169 can be advantageously used as a biomarker for predicting the occurrence of irAEs induced by immunotherapy or predicting responsiveness to immunotherapy.

Abstract: A method for predicting the occurrence of immune-related adverse events (irAEs) induced by an HLA type-based cancer immunotherapy agent. The method involves determining copy number variations (CNVs) of the HLA gene, such as HLA-B exon 2 deficiency, or HLA alleles such as HLA-B*35:01, HLA-B*40:02, HLA-B*54:01, or detecting an allele of an HLA gene selected from HLA-B*35:01, HLA-B*40:02, and HLA-B*54:01, in a biological sample isolated from a subject, and treating the cancer immunotherapy-induced irAE in the subject by administering to the subject a corticosteroid or immunosuppressant.

Abstract: The present invention relates to a method of diagnosing cancer and predicting cancer type using cell-free nucleic acid fragments and image analysis technology, and more particularly, to a method of diagnosing cancer and predicting cancer type by extracting nucleic acids from a biological sample to obtain sequence information (reads), aligning the obtained reads, generating an image including size and coverage information of nucleic acid fragments based on the aligned reads, and then analyzing values calculated by inputting the image into a trained artificial intelligence model. The method of diagnosing cancer and predicting cancer type using size and coverage information of cell-free nucleic acid fragments according to the present invention advantageously shows high sensitivity and accuracy because it generates vectorized data and performs analysis using an AI algorithm.

Abstract: A method for enhancing immunity, including administering a composition containing a Prevotella stercorea strain or a culture solution thereof to a subject in need thereof. A method for increasing an anticancer effect, including administering a composition containing a Prevotella stercorea strain or a culture solution thereof to a subject in need thereof. A method for treating cancer, including administering a composition containing a Prevotella stercorea strain or a culture solution thereof, and an immune checkpoint inhibitor to a subject in need thereof.

Abstract: Disclosed is a method for diagnosing cancer and predicting a cancer type using fragment end motif frequencies and sizes of cell-free nucleic acid, and more preferably, to a method for diagnosing cancer and predicting a cancer type by extracting nucleic acids from a biological sample to obtain sequence information, acquiring fragment end motif frequencies and sizes of nucleic acids based on the aligned reads, converting the fragment end motif frequencies and sizes of nucleic acids into vectorized data, inputting the vectorized data to a trained artificial intelligence model and analyzing a resulting calculated value. The method includes generating vectorized data and analyzing the same using an AI algorithm and thus is useful due to high sensitivity and accuracy thereof even in the case of low read coverage.

Abstract: The present invention relates to a blood cell-free DNA-based method for predicting the prognosis of liver cancer treatment. A method for predicting the prognosis of liver cancer, according to the present invention, uses next generation sequencing (NGS) so as to increase the accuracy of prognosis prediction of a liver cancer patient and also increase the accuracy of prognosis prediction based on a very low concentration cell-free DNA of which detection has been difficult, thereby increasing the commercial utilization thereof. Therefore, the method of the present invention is useful for determining the prognosis of a liver cancer patient.