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2022 World Conference on Lung Cancer (Posters)
P1.07-02. Personal and Family HiStory of CANcer in ...
P1.07-02. Personal and Family HiStory of CANcer in Patients with Non-small Cell Lung Cancer: Preliminary Data of the SCAN Study
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The SCAN study aims to investigate the prevalence of family history of cancer and the profile of patients with non-small cell lung cancer (NSCLC). The study collected personal and family history of cancer, demographic data, and exposure information from patients treated at Hospital Clinic of Barcelona between October 2020 and January 2022.<br /><br />Preliminary data from the first 156 patients enrolled in the study revealed a high prevalence of family and personal history of cancer among NSCLC patients. In the driver population, 88% of patients had at least one relative with cancer, most commonly lung cancer followed by breast cancer. Family history of cancer was more frequent among never smokers and women.<br /><br />The study also examined the molecular profile of the tumors. Among the driver population, somatic mutations in EGFR/KRAS/BRAF/MET/ERBB2, fusions in ALK/ROS1/RET/NTRK1-3, and amplifications in ERBB2/MET were analyzed. The distribution of family history of cancer varied according to the molecular alterations.<br /><br />Additionally, the study found that 40% of the patients had a personal history of another cancer. The most common previous tumors observed in women were breast, lung, and uterus cancers, while in men, the most common previous tumors were lung, urothelial, and skin cancers.<br /><br />In conclusion, the preliminary data from the SCAN study suggest a high prevalence of family and personal history of cancer in NSCLC patients. The study highlights the need for further research to understand the impact of family history and molecular profile on the development and treatment of NSCLC.
Asset Subtitle
Juan Carlos Laguna, Spain
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Speaker
Juan Carlos Laguna, Spain
Topic
Epidemiology
Keywords
SCAN study
family history of cancer
non-small cell lung cancer
NSCLC
prevalence
patients
demographic data
exposure information
somatic mutations
molecular profile
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