{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:13:14Z","timestamp":1760209994862,"version":"build-2065373602"},"reference-count":71,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,12,25]],"date-time":"2017-12-25T00:00:00Z","timestamp":1514160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Molecules"],"abstract":"<jats:p>Driver mutation provides fitness advantage to cancer cells, the accumulation of which increases the fitness of cancer cells and accelerates cancer progression. This work seeks to extract patterns accumulated by driver genes (\u201cfitness relationships\u201d) in tumorigenesis. We introduce a network-based method for extracting the fitness relationships of driver genes by modeling the network properties of the \u201cfitness\u201d of cancer cells. Colon adenocarcinoma (COAD) and skin cutaneous malignant melanoma (SKCM) are employed as case studies. Consistent results derived from different background networks suggest the reliability of the identified fitness relationships. Additionally co-occurrence analysis and pathway analysis reveal the functional significance of the fitness relationships with signaling transduction. In addition, a subset of driver genes called the \u201cfitness core\u201d is recognized for each case. Further analyses indicate the functional importance of the fitness core in carcinogenesis, and provide potential therapeutic opportunities in medicinal intervention. Fitness relationships characterize the functional continuity among driver genes in carcinogenesis, and suggest new insights in understanding the oncogenic mechanisms of cancers, as well as providing guiding information for medicinal intervention.<\/jats:p>","DOI":"10.3390\/molecules23010039","type":"journal-article","created":{"date-parts":[[2017,12,26]],"date-time":"2017-12-26T03:06:38Z","timestamp":1514257598000},"page":"39","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Extracting Fitness Relationships and Oncogenic Patterns among Driver Genes in Cancer"],"prefix":"10.3390","volume":"23","author":[{"given":"Xindong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710000, China"},{"name":"School of Computer Science, Xi\u2019an Polytechnic University, Xi\u2019an 710000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songwei","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Software, Xidian University, Xi\u2019an 710000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.cell.2010.11.013","article-title":"An Integrated Approach to Uncover Drivers of Cancer","volume":"143","author":"Akavia","year":"2010","journal-title":"Cell"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"18545","DOI":"10.1073\/pnas.1010978107","article-title":"Accumulation of driver and passenger mutations during tumor progression","volume":"107","author":"Bozic","year":"2010","journal-title":"Proc. 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