OncoSexome: the landscape of sex-based differences in oncologic diseases
The NIH policy on sex as biological variable (SABV) emphasized the importance of sex-based differences in precision oncology. Over 50% of clinically actionable oncology genes are sex-biased, indicating differences in drug efficacy. Research has identified sex differences in non-reproductive cancers, highlighting the need for comprehensive sex-based cancer data. We therefore developed OncoSexome, a multidimensional knowledge base describing sex-based differences in cancer (https://idrblab.org/OncoSexome/) across four key topics: antineoplastic drugs and responses (SDR), oncology-related biomarkers (SBM), risk factors (SRF) and microbial landscape (SML). SDR covers sex-based differences in 2051 anticancer drugs; SBM describes 12 551 sex-differential biomarkers; SRF illustrates 350 sex-dependent risk factors; SML demonstrates 1386 microbes with sex-differential abundances associated with cancer development. OncoSexome is unique in illuminating multifaceted influences of biological sex on cancer, providing both external and endogenous contributors to cancer development and describing sex-based differences for the broadest oncological classes. Given the increasing global research interest in sex-based differences, OncoSexome is expected to impact future precision oncology practices significantly.
Authors
- Caroline Helen Johnson (ORCID: https://orcid.org/0000-0002-5298-1299)
- Yechi Zhang
- Zongwei Cai (ORCID: https://orcid.org/0000-0002-8724-7684)
- Andrew Thomas DeWan (ORCID: https://orcid.org/0000-0002-7679-8704)
- Samuel D. Butensky (ORCID: https://orcid.org/0000-0002-6354-8124)
- Yintao Zhang (ORCID: https://orcid.org/0000-0002-5263-3438)
- Ying Zhou (ORCID: https://orcid.org/0000-0003-2778-555X)
- Sajid Khan (ORCID: https://orcid.org/0000-0001-9897-6025)
- Hongyuan Yan (ORCID: https://orcid.org/0000-0002-6087-4426)
- Xinyi Shen (ORCID: https://orcid.org/0000-0002-7411-003X)
- Jiamin Li (ORCID: https://orcid.org/0009-0003-1157-9177)
- Feng Zhu (ORCID: https://orcid.org/0000-0001-8069-0053)
Institutions
- Hong Kong Baptist University (HK)
- Yale University (US)
- Second Affiliated Hospital of Zhejiang University (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
- Zhejiang University (CN)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1093/nar/gkae1003
- Citations
- 6
- Primary Topic
- Sex and Gender in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 3.26
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Natural Science Foundation of Zhejiang Province