Metagenomics Analysis of Breast Cancer to Study Bacterial Diversity
Metagenomics and breast cancer
Abstract
Introduction: Breast cancer is the swelling structures in the breast cells. After skin cancer, breast cancer is the most broadly accepted malignancy analysed in ladies in the United States. Breast cancer can happen in both males and females, yet it's undeniably more normal in ladies. Indications of mammary glands cancer may involve a ball or lumps in the breast, an alteration of breast shape, scratching of the skin, fluid coming out from areola, a recently reversed areola, or a red or textured fix of skin. In those with removed lay out of the illness, there can be bone agony, swollen lymph hubs, windedness, or yellow skin. There are certain microorganisms that are involved in breast cancer and have function thereof. The study of these microorganisms can be done through metagenomics study and comparing with normal samples.
Methods: For current study pairwise metagenomics data for breast cancer sample was retrieved from ENA site. Four FASTQ files were retrieved with the Accession no PRJEB25419 and complete metagenomics analysis was done using GALAXY Server. Tools like FASTQC, Trim galore, KRAKEN2, Krona pie chart etc. were used for classification and identification of microorganisms in the samples.
Results: The taxonomic and functional analysis of the metagenome of breast cancer identifies different organisms like. Actinobacteria, Bifidobacterium cuniculi, Murnine leukemia virus, Human endogenous retrovirus, Pezizomycotina. Different microbes and their percentage in the breast cancer have been predicted that are 4% of Nematocera, 2% of Brachycera, 3% of Galegeae, 2% of Nelumbo nucifera.
Conclusion These results give insights into the metagenome of breast cancer that can be used for clinical perspectives. Detailed study is required to establish the association of these microbes with development and progression of breast cancer.
Keywords: - Breast cancer, Metagenomics, Galaxy, ENA Database, Krona pie chart.
Keywords:
Breast cancer, Metagenomics, Galaxy, ENA Database, Krona pie chartDOI
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