Unité d'épidémiologie et de biostatistique, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Université du Québec, Laval, Québec, Canada.
Département de médecine sociale et préventive, Université Laval, Québec, Canada.
Cancer Epidemiol Biomarkers Prev. 2024 Jan 9;33(1):143-150. doi: 10.1158/1055-9965.EPI-23-0908.
The link between hormones and hair growth is well established. Inconsistent associations have been found between hair patterns and cancer of the prostate, a hormone-dependent organ. We assessed vertex baldness trajectories, chest hair amount, and their relationships with the odds of developing prostate cancer in a large case-control study in Montreal, Canada.
In-person interviews were conducted with 1,931 incident prostate cancer cases and 1,994 population-based age-matched (±5 years) controls. Participants reported their hair patterns using the validated Hamilton-Norwood scale of baldness for 10-year increments starting at age 30, and their current amount of chest hair. Group-based trajectories were used to identify men sharing similar patterns of vertex baldness severity over adulthood. Multivariable logistic regression assessed associations between indicators of baldness (frontal, vertex, age at onset, severity, and trajectories), chest hair, and odds of prostate cancer.
Vertex balding onset at age 30 was associated with increased odds of overall prostate cancer [Odds ratio (OR), 1.30; 95% confidence interval (CI), 1.03-1.64]. Men in the trajectory characterized by early moderate vertex baldness and developing severe baldness had increased odds of overall (OR, 1.42; 95% CI, 1.03-1.96) and especially aggressive prostate cancer (OR, 1.98; 95% CI, 1.21-3.22) compared with men without baldness. Men with little chest hair had higher odds of aggressive tumors than those with a moderate amount/a lot of chest hair.
Early-onset moderate vertex baldness that progresses and having little chest hair may be useful biomarkers of aggressive prostate cancer.
Integration of early-onset vertex balding patterns into risk prediction models of aggressive prostate cancer should be envisaged.
激素与毛发生长之间的联系已得到充分证实。人们发现,前列腺癌(一种依赖激素的器官)与头发模式之间的关联并不一致。我们在加拿大蒙特利尔的一项大型病例对照研究中,评估了头顶光秃的轨迹、胸毛数量及其与前列腺癌发病风险的关系。
对 1931 例前列腺癌新发病例和 1994 例基于人群的年龄匹配(±5 岁)对照进行了面对面访谈。参与者使用经过验证的 Hamilton-Norwood 脱发量表报告了他们的头发模式,该量表从 30 岁开始,每 10 年记录一次,还报告了他们当前的胸毛数量。采用基于群组的轨迹来识别在成年期具有相似头顶光秃严重程度模式的男性。多变量逻辑回归评估了脱发指标(额部、头顶、发病年龄、严重程度和轨迹)、胸毛与前列腺癌发病风险之间的关系。
30 岁时头顶开始脱发与总体前列腺癌发病风险增加相关[比值比(OR),1.30;95%置信区间(CI),1.03-1.64]。与无脱发的男性相比,具有早期中度头顶脱发且逐渐加重至严重脱发的轨迹特征的男性,总体(OR,1.42;95%CI,1.03-1.96)和特别是侵袭性前列腺癌(OR,1.98;95%CI,1.21-3.22)的发病风险更高。胸毛少的男性比胸毛中等或多的男性更有可能患侵袭性肿瘤。
早期中度头顶脱发且逐渐加重以及胸毛少可能是侵袭性前列腺癌的有用生物标志物。
应考虑将早期头顶光秃模式纳入侵袭性前列腺癌风险预测模型。