Literature DB >> 30341099

Host Characteristics and Risk of Incident Melanoma by Breslow Thickness.

Wen-Qing Li1,2,3, Eunyoung Cho2,3,4, Shaowei Wu2,5, Suyun Li6, Natalie H Matthews2, Abrar A Qureshi2,3,4.   

Abstract

BACKGROUND: Several host characteristics, including pigmentary traits (hair color, sunburn susceptibility and tanning ability), number of common nevi (moles), and family history of melanoma, have been associated with risk of melanoma.
METHODS: We prospectively examined the associations between host characteristics and risk of incident melanoma by Breslow thickness (≤1 mm, thin melanoma; or >1 mm, "thicker melanoma") based on the Nurses' Health Study (NHS, n = 86,380 women), NHS II (n = 104,100 women), and Health Professionals Follow-up Study (HPFS, n = 46,934 men).
RESULTS: During 22-30 years' follow-up, a total of 1,813 incident melanoma cases were identified with information on Breslow thickness, 1,392 (76.8%) of which had thin melanoma. No significant differences were observed for thin and thicker melanoma in associations with hair color, sunburn susceptibility, and tanning ability. However, we found significant differences for the association with family history of melanoma, with a higher risk estimate for thicker melanoma [HR = 2.55; 95% confidence interval (CI): 1.91-3.42] than thin melanoma (HR = 1.59; 95% CI: 1.21-2.08; P heterogeneity = 0.02). Interestingly, women and men displayed differential associations between nevi count and risk of melanoma by Breslow thickness, with the association appearing stronger for thicker melanoma than thin melanoma in men (P heterogeneity = 0.01), but not in women.
CONCLUSIONS: Individuals with family history of melanoma may be more likely to develop thicker melanoma. Men with high number of common nevi may tend to develop thicker melanoma, which was not found for women. IMPACT: The findings further stress the risk of thicker melanoma for individuals with a family history of melanoma and men with a high nevi count. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30341099      PMCID: PMC6324995          DOI: 10.1158/1055-9965.EPI-18-0607

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  30 in total

1.  Risks of Melanoma and Other Cancers in Melanoma-Prone Families over 4 Decades.

Authors:  Margaret A Tucker; David E Elder; Michael Curry; Mary C Fraser; Virginia Pichler; Deborah Zametkin; Xiaohong R Yang; Alisa M Goldstein
Journal:  J Invest Dermatol       Date:  2018-02-08       Impact factor: 8.551

2.  The association of host and genetic melanoma risk factors with Breslow thickness in the Western Australian Melanoma Health Study.

Authors:  G Cadby; S V Ward; J M Cole; E K Moses; M Millward; L J Palmer
Journal:  Br J Dermatol       Date:  2014-04       Impact factor: 9.302

3.  Accuracy of self-reported nevus and pigmentation phenotype compared with clinical assessment in a population-based study of young Australian adults.

Authors:  Anne E Cust; Kristen M Pickles; Chris Goumas; Thao Vu; Helen Schmid; Eduardo Nagore; John Kelly; Joanne F Aitken; Graham G Giles; John L Hopper; Mark A Jenkins; Graham J Mann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-01-27       Impact factor: 4.254

4.  Germline Variation at CDKN2A and Associations with Nevus Phenotypes among Members of Melanoma Families.

Authors:  Nicholas J Taylor; Nandita Mitra; Alisa M Goldstein; Margaret A Tucker; Marie-Françoise Avril; Esther Azizi; Wilma Bergman; D Timothy Bishop; Brigitte Bressac-de Paillerets; William Bruno; Donato Calista; Lisa A Cannon-Albright; Francisco Cuellar; Anne E Cust; Florence Demenais; David E Elder; Anne-Marie Gerdes; Paola Ghiorzo; Thais C Grazziotin; Johan Hansson; Mark Harland; Nicholas K Hayward; Marko Hocevar; Veronica Höiom; Christian Ingvar; Maria Teresa Landi; Gilles Landman; Alejandra Larre-Borges; Sancy A Leachman; Graham J Mann; Eduardo Nagore; Håkan Olsson; Jane M Palmer; Barbara Perić; Dace Pjanova; Antonia Pritchard; Susana Puig; Nienke van der Stoep; Karin A W Wadt; Linda Whitaker; Xiaohong R Yang; Julia A Newton Bishop; Nelleke A Gruis; Peter A Kanetsky
Journal:  J Invest Dermatol       Date:  2017-08-19       Impact factor: 8.551

5.  Good test-retest reproducibility for an instrument to capture self-reported melanoma risk factors.

Authors:  Conrad J Morze; Catherine M Olsen; Susan L Perry; Lea M Jackman; Barbara A Ranieri; Suzanne M O'Brien; Rebekah A Cicero; David C Whiteman
Journal:  J Clin Epidemiol       Date:  2012-09-10       Impact factor: 6.437

6.  Androgen receptor promotes melanoma metastasis via altering the miRNA-539-3p/USP13/MITF/AXL signals.

Authors:  Y Wang; Z Ou; Y Sun; S Yeh; X Wang; J Long; C Chang
Journal:  Oncogene       Date:  2016-11-21       Impact factor: 9.867

Review 7.  Epidemiological Assessments of Skin Outcomes in the Nurses' Health Studies.

Authors:  Wen-Qing Li; Eunyoung Cho; Martin A Weinstock; Hasan Mashfiq; Abrar A Qureshi
Journal:  Am J Public Health       Date:  2016-07-26       Impact factor: 9.308

8.  A comprehensive genome-wide analysis of melanoma Breslow thickness identifies interaction between CDC42 and SCIN genetic variants.

Authors:  Amaury Vaysse; Shenying Fang; Myriam Brossard; Qingyi Wei; Wei V Chen; Hamida Mohamdi; Lynda Vincent-Fetita; Patricia Margaritte-Jeannin; Nolwenn Lavielle; Eve Maubec; Mark Lathrop; Marie-Françoise Avril; Christopher I Amos; Jeffrey E Lee; Florence Demenais
Journal:  Int J Cancer       Date:  2016-07-23       Impact factor: 7.396

9.  Personal history of prostate cancer and increased risk of incident melanoma in the United States.

Authors:  Wen-Qing Li; Abrar A Qureshi; Jing Ma; Alisa M Goldstein; Edward L Giovannucci; Meir J Stampfer; Jiali Han
Journal:  J Clin Oncol       Date:  2013-11-04       Impact factor: 44.544

10.  Spatiotemporal exposure modeling of ambient erythemal ultraviolet radiation.

Authors:  Trang VoPham; Jaime E Hart; Kimberly A Bertrand; Zhibin Sun; Rulla M Tamimi; Francine Laden
Journal:  Environ Health       Date:  2016-11-24       Impact factor: 5.984

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  5 in total

1.  Cohort Study of Nonmelanoma Skin Cancer and the Risk of Exfoliation Glaucoma.

Authors:  Jae H Kang; Trang VoPham; Francine Laden; Bernard A Rosner; Barbara Wirostko; Robert Ritch; Janey L Wiggs; Abrar Qureshi; Hongmei Nan; Louis R Pasquale
Journal:  J Glaucoma       Date:  2020-06       Impact factor: 2.503

2.  Phenotypic Characteristics and Melanoma Thickness in Women.

Authors:  Reza Ghiasvand; Adèle C Green; Torkjel M Sandanger; Elisabete Weiderpass; Trude E Robsahm; Marit B Veierød
Journal:  Acta Derm Venereol       Date:  2021-04-29       Impact factor: 3.875

3.  Germline variants are associated with increased primary melanoma tumor thickness at diagnosis.

Authors:  Ernest Mangantig; Stuart MacGregor; Mark M Iles; Richard A Scolyer; Anne E Cust; Nicholas K Hayward; Grant W Montgomery; David L Duffy; John F Thompson; Anjali Henders; Lisa Bowdler; Casey Rowe; Gemma Cadby; Graham J Mann; David C Whiteman; Georgina V Long; Sarah V Ward; Kiarash Khosrotehrani; Jennifer H Barrett; Matthew H Law
Journal:  Hum Mol Genet       Date:  2021-01-06       Impact factor: 6.150

Review 4.  Role of Occupation in Shaping Cancer Disparities.

Authors:  Giulia Collatuzzo; Federica Teglia; Paolo Boffetta
Journal:  Cancers (Basel)       Date:  2022-08-31       Impact factor: 6.575

5.  Bioinformatic Analysis Identifies Potential Key Genes in the Pathogenesis of Melanoma.

Authors:  Yanjie Han; Xinxin Li; Jiliang Yan; Chunyan Ma; Xin Wang; Hong Pan; Xiaoli Zheng; Zhen Zhang; Biao Gao; Xin-Ying Ji
Journal:  Front Oncol       Date:  2020-10-16       Impact factor: 6.244

  5 in total

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