Shahzaib Muhammad, Muaz Muhammad, Zubair Muhammad Hasnain, Kayani Masood Ur Rehman
Metagenomics Discovery Lab, School of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
Database (Oxford). 2024 Dec 21;2024. doi: 10.1093/database/baae124.
Cancer remains a global health challenge, with significant morbidity and mortality rates. In 2020, cancer caused nearly 10 million deaths, making it the second leading cause of death worldwide. The emergence of chemoresistance has become a major hurdle in successfully treating cancer patients. Recently, human gut microbes have been recognized for their role in modulating drug efficacy through their metabolites, ultimately leading to chemoresistance. The currently available databases are limited to knowledge regarding the interactions between gut microbiome and drugs. However, a database containing the human gut microbial gene sequences, and their effect on the efficacy of chemotherapy for cancer patients has not yet been developed. To address this challenge, we present the Microbial Chemoresistance Knowledgebase (MiCK), a comprehensive database that catalogs microbial gene sequences associated with chemoresistance. MiCK contains 1.6 million sequences of 29 gene types linked to chemoresistance and drug metabolism, curated manually from recent literature and sequence databases. The database can support downstream analysis as it provides a user-friendly web interface for sequence search and download functionalities. MiCK aims to facilitate the understanding and mitigation of chemoresistance in cancers by serving as a valuable resource for researchers. Database URL: https://microbialchemreskb.com/.
癌症仍然是一项全球性的健康挑战，其发病率和死亡率都很高。2020年，癌症导致近1000万人死亡，使其成为全球第二大死因。化疗耐药性的出现已成为成功治疗癌症患者的主要障碍。最近，人类肠道微生物因其通过代谢产物调节药物疗效的作用而受到认可，最终导致化疗耐药性。目前可用的数据库仅限于关于肠道微生物群与药物之间相互作用的知识。然而，一个包含人类肠道微生物基因序列及其对癌症患者化疗疗效影响的数据库尚未开发出来。为应对这一挑战，我们推出了微生物化疗耐药知识库（MiCK），这是一个全面的数据库，对与化疗耐药性相关的微生物基因序列进行编目。MiCK包含与化疗耐药性和药物代谢相关的29种基因类型的160万个序列，这些序列是从近期文献和序列数据库中手动挑选出来的。该数据库提供了一个用户友好的网络界面，用于序列搜索和下载功能，从而支持下游分析。MiCK旨在通过为研究人员提供宝贵资源，促进对癌症化疗耐药性的理解和缓解。数据库网址：https://microbialchemreskb.com/ 。
