PMID- 31075544 OWN - NLM STAT- MEDLINE DCOM- 20200625 LR - 20200701 IS - 1556-1380 (Electronic) IS - 1556-0864 (Print) IS - 1556-0864 (Linking) VI - 14 IP - 7 DP - 2019 Jul TI - Population-Based Relative Risks for Lung Cancer Based on Complete Family History of Lung Cancer. PG - 1184-1191 LID - S1556-0864(19)30316-8 [pii] LID - 10.1016/j.jtho.2019.04.019 [doi] AB - INTRODUCTION: Published risk estimates for diagnosis of lung cancer based on family history are typically focused on close relatives, rather than a more diverse or complete family history. This study provides estimates of relative risk (RR) for lung cancer based on comprehensive family history data obtained from a statewide cancer registry linked to a high-quality genealogy data resource that is extensive and deep. The risk estimates presented avoid common recall, recruitment, ascertainment biases, and are based on an individual's (proband's) lung cancer family history constellation (pattern of lung cancer affected relatives); numerous constellations are explored. METHODS: We used a population-based genealogic resource linked to a statewide electronic Surveillance Epidemiology and End Results program cancer registry to estimate RR for lung cancer for an individual based on their lung cancer family history. The family history data available for a proband included degree of relationship (first- to third-degree), paternal or maternal family lung cancer history, number of lung cancer-affected relatives, and age at diagnosis of affected relatives. More than 1.3 million probands with specific constellations of lung cancer were analyzed. To estimate RRs for lung cancer, the observed number of lung cancer cases among probands with a specific family history constellation was compared to the expected number using internal cohort-specific rates. RESULTS: A total of 5048 lung cancer cases were identified. Significantly elevated RR was observed for any number of lung cancer-affected relatives among first-, second-, or third-degree relatives. RRs for lung cancer were significantly elevated for each additional lung cancer first-degree relative (FDR) ranging from RR = 2.57 (confidence interval [CI] 95%: 2.39, 2.76) for 1 or more FDR to RR = 4.24 (CI 95%: 1.56, 9.23) for 3 or more FDRs affected. In an absence of FDR family history, increased risk for lung cancer was significant for increasing numbers of affected second-degree relatives (SDRs) ranging from 1.41 (CI 95%: 1.30, 1.52) for 1 or more SDRs to 4.76 (CI 95%: 1.55, 11.11) for 4 or more SDRs. In the absence of affected FDRs and SDRs, there were significantly increased risks based on lung cancer-affected third-degree relatives (TDRs) ranging from 1.18 (CI 95%: 1.11, 1.24) for 1 or more affected TDRs to 1.55 (CI 95%: 1.03, 2.24) for 4 or more affected TDRs. RRs were significantly increased with earlier age at diagnosis of a FDR, and equivalent risks for maternal compared to paternal history were observed. CONCLUSIONS: This study provides population-based estimates of lung cancer risk based on a proband's complete family history (lung cancer constellation). Many individuals at two to five or more times increased risk for lung cancer are identified. Estimates of RR for lung cancer based on family history are arguably relevant clinically. The constellation RR estimates presented could serve in individual decision-making to direct resource use for lung cancer screening, and could be pivotal in decision-making for screening, treatment, and post-treatment surveillance. CI - Copyright (c) 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved. FAU - Cannon-Albright, Lisa A AU - Cannon-Albright LA AD - Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah; Huntsman Cancer Institute, Salt Lake City, Utah. FAU - Carr, Shamus R AU - Carr SR AD - Division of Thoracic Surgery, Department of Surgery, University of Maryland School of Medicine, Baltimore, Maryland. Electronic address: scarr@som.umaryland.edu. FAU - Akerley, Wallace AU - Akerley W AD - Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah; Huntsman Cancer Institute, Salt Lake City, Utah. LA - eng GR - HHSN261201000026C/CA/NCI NIH HHS/United States GR - P30 CA042014/CA/NCI NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, Non-U.S. Gov't DEP - 20190507 PL - United States TA - J Thorac Oncol JT - Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer JID - 101274235 SB - IM CIN - J Thorac Oncol. 2019 Nov;14(11):e248-e249. PMID: 31668322 MH - Early Detection of Cancer/*statistics & numerical data MH - Family MH - Female MH - *Genetic Predisposition to Disease MH - Humans MH - Incidence MH - Lung Neoplasms/diagnosis/*epidemiology/*genetics MH - Male MH - Middle Aged MH - Population Surveillance MH - Prognosis MH - Registries/*statistics & numerical data MH - Risk Assessment/*methods MH - Risk Factors MH - Utah/epidemiology PMC - PMC6592768 MID - NIHMS1530516 OTO - NOTNLM OT - Family history OT - Genetic epidemiology OT - Hereditary factors OT - Lung cancer EDAT- 2019/05/11 06:00 MHDA- 2020/06/26 06:00 PMCR- 2020/07/01 CRDT- 2019/05/11 06:00 PHST- 2019/01/06 00:00 [received] PHST- 2019/04/07 00:00 [revised] PHST- 2019/04/17 00:00 [accepted] PHST- 2019/05/11 06:00 [pubmed] PHST- 2020/06/26 06:00 [medline] PHST- 2019/05/11 06:00 [entrez] PHST- 2020/07/01 00:00 [pmc-release] AID - S1556-0864(19)30316-8 [pii] AID - 10.1016/j.jtho.2019.04.019 [doi] PST - ppublish SO - J Thorac Oncol. 2019 Jul;14(7):1184-1191. doi: 10.1016/j.jtho.2019.04.019. Epub 2019 May 7.