DIRMC: a database of immunotherapy-related molecular characteristics

Author:

Liu Yue1ORCID,Zhou Yuhuan2,Hu Xiumei3,Le-Ge Wuri4,Wang Haoyan1,Jiang Tao1ORCID,Li Junyi2ORCID,Hu Yang1ORCID,Wang Yadong1ORCID

Affiliation:

1. Faculty of Computing, Harbin Institute of Technology , Harbin, Heilongjiang 150001, China

2. School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen) , Shenzhen, Guangdong 518055, China

3. Beidahuang Industry Group General Hospital , Harbin 150001, China

4. Department of Pain, Tongliao City Hospital , Tongliao 028000, China

Abstract

Abstract Cancer immunotherapy has brought about a revolutionary breakthrough in the field of cancer treatment. Immunotherapy has changed the treatment landscape for a variety of solid and hematologic malignancies. To assist researchers in efficiently uncovering valuable information related to cancer immunotherapy, we have presented a manually curated comprehensive database called DIRMC, which focuses on molecular features involved in cancer immunotherapy. All the content was collected manually from published literature, authoritative clinical trial data submitted by clinicians, some databases for drug target prediction such as DrugBank, and some experimentally confirmed high-throughput data sets for the characterization of immune-related molecular interactions in cancer, such as a curated database of T-cell receptor sequences with known antigen specificity (VDJdb), a pathology-associated TCR database (McPAS-TCR) et al. By constructing a fully connected functional network, ranging from cancer-related gene mutations to target genes to translated target proteins to protein regions or sites that may specifically affect protein function, we aim to comprehensively characterize molecular features related to cancer immunotherapy. We have developed the scoring criteria to assess the reliability of each MHC–peptide–T-cell receptor (TCR) interaction item to provide a reference for users. The database provides a user-friendly interface to browse and retrieve data by genes, target proteins, diseases and more. DIRMC also provides a download and submission page for researchers to access data of interest for further investigation or submit new interactions related to cancer immunotherapy targets. Furthermore, DIRMC provides a graphical interface to help users predict the binding affinity between their own peptide of interest and MHC or TCR. This database will provide researchers with a one-stop resource to understand cancer immunotherapy-related targets as well as data on MHC–peptide–TCR interactions. It aims to offer reliable molecular characteristics support for both the analysis of the current status of cancer immunotherapy and the development of new immunotherapy. DIRMC is available at http://www.dirmc.tech/. Database URL: http://www.dirmc.tech/

Funder

Heilongjiang Province Science and Technology Plan Project

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Reference31 articles.

1. Integrative oncology: addressing the global challenges of cancer prevention and treatment;Mao;CA Cancer J. Clin.,2022

2. Global Cancer Observatory: Cancer Tomorrow;Ferlay;Int. Agency Res. Cancer,2021

3. Tumor microenvironment: recent advances in various cancer treatments;Wang;Eur. Rev. Med. Pharmacol. Sci.,2018

4. Stereotactic body radiation therapy for operable early-stage lung cancer: findings from the NRG Oncology RTOG 0618 Trial;Timmerman;JAMA Oncol.,2018

5. Pembrolizumab plus chemotherapy in metastatic non-small-cell lung cancer;Gandhi;N. Engl. J. Med.,2018

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