{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T20:44:39Z","timestamp":1789245879429,"version":"build-2803163510"},"reference-count":36,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"3","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO Oncology Practice"],"published-print":{"date-parts":[[2021,3]]},"abstract":"<jats:sec><jats:title>PURPOSE:<\/jats:title><jats:p> Cancer prevalence and outcomes data, necessary to understand disparities in transgender populations, are significantly hampered because gender identity data are not routinely collected. A database of clinical data on people with cancer, CancerLinQ, is operated by the ASCO and collected from practices across the United States and multiple electronic health records. <\/jats:p><\/jats:sec><jats:sec><jats:title>METHODS:<\/jats:title><jats:p> To attempt to identify transgender people with cancer within CancerLinQ, we used three criteria: (1) International Classification of Diseases 9\/10 diagnosis (Dx) code suggestive of transgender identity; (2) male gender and Dx of cervical, endometrial, ovarian, fallopian tube, or other related cancer; and (3) female gender and Dx of prostate, testicular, penile, or other related cancer. Charts were abstracted to confirm transgender identity. <\/jats:p><\/jats:sec><jats:sec><jats:title>RESULTS:<\/jats:title><jats:p> Five hundred fifty-seven cases matched inclusion criteria and two hundred and forty-two were abstracted. Seventy-six percent of patients with Dx codes suggestive of transgender identity were transgender. Only 2% and 3% of the people identified by criteria 2 and 3 had evidence of transgender identity, respectively. Extrapolating to nonabstracted data, we would expect to identify an additional four individuals in category 2 and an additional three individuals in category 3, or a total of 44. The total population in CancerLinQ is approximately 1,300,000. Thus, our methods could identify 0.003% of the total population as transgender. <\/jats:p><\/jats:sec><jats:sec><jats:title>CONCLUSION:<\/jats:title><jats:p> Given the need for data regarding transgender people with cancer and the deficiencies of current data resources, a national concerted effort is needed to prospectively collect gender identity data. These efforts will require systemic efforts to create safe healthcare environments for transgender people. <\/jats:p><\/jats:sec>","DOI":"10.1200\/op.20.00634","type":"journal-article","created":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T14:01:12Z","timestamp":1623420072000},"page":"e336-e342","update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":16,"title":["Identification of Transgender People With Cancer in Electronic Health Records: Recommendations Based on CancerLinQ Observations"],"prefix":"10.1200","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1736-898X","authenticated-orcid":false,"given":"Ash B.","family":"Alpert","sequence":"first","affiliation":[{"name":"Division of Hematology and Medical Oncology, Department of Medicine, Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, 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