scholarly journals Personalized Risk Assessment in Never, Light, and Heavy Smokers in a prospective cohort in Taiwan

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Xifeng Wu ◽  
Chi Pang Wen ◽  
Yuanqing Ye ◽  
MinKwang Tsai ◽  
Christopher Wen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Family History ◽  
Lung Function ◽  
Risk Prediction ◽  
Prospective Cohort ◽  
Lung Function Test ◽  
Function Test ◽  
History Of ◽  
Never Smokers ◽  
Heavy Smokers

Abstract The objective of this study was to develop markedly improved risk prediction models for lung cancer using a prospective cohort of 395,875 participants in Taiwan. Discriminatory accuracy was measured by generation of receiver operator curves and estimation of area under the curve (AUC). In multivariate Cox regression analysis, age, gender, smoking pack-years, family history of lung cancer, personal cancer history, BMI, lung function test, and serum biomarkers such as carcinoembryonic antigen (CEA), bilirubin, alpha fetoprotein (AFP), and c-reactive protein (CRP) were identified and included in an integrative risk prediction model. The AUC in overall population was 0.851 (95% CI = 0.840–0.862), with never smokers 0.806 (95% CI = 0.790–0.819), light smokers 0.847 (95% CI = 0.824–0.871), and heavy smokers 0.732 (95% CI = 0.708–0.752). By integrating risk factors such as family history of lung cancer, CEA and AFP for light smokers, and lung function test (Maximum Mid-Expiratory Flow, MMEF25–75%), AFP and CEA for never smokers, light and never smokers with cancer risks as high as those within heavy smokers could be identified. The risk model for heavy smokers can allow us to stratify heavy smokers into subgroups with distinct risks, which, if applied to low-dose computed tomography (LDCT) screening, may greatly reduce false positives.

Family history of lung cancer in never smokers with non-small cell lung cancer (NSCLC) and its association with tumors harboring epidermal growth factor receptor (EGFR) mutations.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 7579-7579
Author(s):  
Elizabeth Mary Gaughan ◽  
Sarah K Cryer ◽  
Beow Yong Yeap ◽  
David Michael Jackman ◽  
Daniel Botelho Costa
Keyword(s):  
Lung Cancer ◽  
Family History ◽  
Medical Center ◽  
Egfr Mutations ◽  
Tumor Type ◽  
Kras Mutations ◽  
Inherited Susceptibility ◽  
History Of ◽  
Never Smokers ◽  
Egfr Mutated

7579 Background: Inherited susceptibility to lung cancer is an understudied subject, however it has been described among never smokers (<100 cigarettes/lifetime). Never smokers with NSCLC comprise an important subgroup of patients enriched for tumors harboring oncogene aberrations in the EGFR and ALK genes. We aimed to better characterize the incidence of family history of lung cancer in the setting of routine tumor genotyping among never smokers with NSCLC. Methods: Clinicopathologic data plus tumor genotype (EGFR, KRAS, ALK) from 230 consecutive never smokers seen at Beth Israel Deaconess Medical Center and Dana-Farber Cancer Institute was compiled. We retrospectively analyzed the incidence of a family history of any cancer and lung cancer in these patients. Results: In our cohort, the average age was 56 years, 67% of the patients were women, 75% were white, 41% had advanced NSCLC and 87% had adenocarcinoma histology. In these tumors, 98/230 (43%) had an EGFR mutation, 16/155 (10%) had KRAS mutations and 27/127 (17%) had an ALK translocation. Family history of any cancer was common (57%) and specific family history of lung cancer was present in 42/230 cases (18%). Out of thecases with a family history of any cancer, 22/53 (41.5%) EGFR-mutated, 1/6 (17%) KRAS-mutated and 3/20 (15%) ALK-translocated cohorts had a family history of lung cancer. The rate of family history of lung cancer to family history of cancer was significantly higher in the EGFR-mutated cohort when compared to the ALK translocated plus KRAS-mutated cohorts (p=0.023). Conclusions: Family history of lung cancer is common in never smokers with NSCLC, and there seems to be a particular link in families in which the proband has an EGFR-mutated tumor. Further study of families with EGFR-mutated NSCLC may yield insights into the pathogenesis of this tumor type.

scholarly journals Family history of lung cancer in never smokers with non-small-cell lung cancer and its association with tumors harboring EGFR mutations

Lung Cancer ◽  
2013 ◽  
Vol 79 (3) ◽  
pp. 193-197 ◽  
Author(s):  
Elizabeth M. Gaughan ◽  
Sarah K. Cryer ◽  
Beow Y. Yeap ◽  
David M. Jackman ◽  
Daniel B. Costa
Keyword(s):  
Lung Cancer ◽  
Family History ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Egfr Mutations ◽  
Small Cell Lung ◽  
History Of ◽  
Never Smokers

scholarly journals Association between family history and lung cancer risk among Chinese women in Singapore

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Yin ◽  
Cheryl Pui Yi Chan ◽  
Adeline Seow ◽  
Wai-Ping Yau ◽  
Wei Jie Seow
Keyword(s):  
Lung Cancer ◽  
Family History ◽  
Chinese Women ◽  
Smoking Status ◽  
Significant Risk ◽  
Public Hospitals ◽  
Family History Information ◽  
Fruit Consumption ◽  
History Of ◽  
Never Smokers

AbstractRisk factors of lung cancer unrelated to smoking are not well-studied, especially among women. Family history has been shown to play a role in predisposing individuals to lung cancer, but this relationship has not been investigated in the Southeast Asian population. A total of 1159 women were recruited in a case–control study conducted in public hospitals in Singapore from 2005 to 2008. After excluding participants with incomplete family history information, 374 cases and 785 controls remained in the final analysis. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated using logistic regression, adjusting for potential confounders. Overall, family history of lung cancer was associated with a higher risk for lung cancer (aOR 2.08, 95% CI 1.25–3.47). When stratified by smoking status, a significant association was observed among never-smokers (aOR 2.78, 95% CI 1.57–4.90). Further stratification by fruit consumption identified a significant association between family history of lung cancer and higher risk of lung cancer among never-smokers who had low fruit consumption (aOR 3.09, 95% CI 1.37–7.01). Our findings suggest that family history of lung cancer is a significant risk factor for lung cancer in Singaporean Chinese women, especially among never-smokers.

Abstract 4992: Cardiovascular Disease Risk Prediction with and without Knowledge of Genetic Variation at Chromosome 9p21.3: The Women’s Genome Health Study

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Nina P Paynter ◽  
Daniel I Chasman ◽  
Julie E Buring ◽  
Dov Shiffman ◽  
Nancy R Cook ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Genetic Variation ◽  
Family History ◽  
Risk Prediction ◽  
Prospective Cohort ◽  
The United States ◽  
Health Study ◽  
Cvd Risk ◽  
History Of

Background : While genetic variation at chromosome 9p21.3 is associated with incident cardiovascular disease (CVD), it is unclear whether screening for this polymorphism improves risk prediction. We sought to determine whether knowledge of variation at chromosome 9p21.3 adds to the information provided by traditional risk factors using data from a prospective cohort study of female Caucasian health professionals in the United States. Methods : 22,129 initially healthy participants in the Women’s Genome Health Study were prospectively followed over a median of 10.2 years for incident CVD. We determined genotype for rs10757274 in chromosome 9p21.3 as well as blood pressure, smoking status, diabetes, blood levels of cholesterol, high sensitivity C-reactive protein (hsCRP), and family history of premature myocardial infarction (MI). Models were compared overall using the C-index and for reclassification across commonly used categories of 10-year CVD risk (<5%, 5% to <10%, 10% to <20%, 20+%). Results : Genotype for rs10757274 was associated with an adjusted hazard ratio (HR) for incident CVD of 1.25 (95% CI 1.04 – 1.51) for the AG genotype (present in 49% of the women) and 1.32 (95% CI 1.07 – 1.63) for the GG genotype (present in 24% of the women) compared to the AA genotype. However, the addition of the genotype to traditional CVD risk factors had no effect on the C-index (0.805 to 0.807) with correct reclassification of 526 women (2.4%). When the genotype was added to previously validated prediction models that additionally included hsCRP and family history of premature MI, there was again no effect on the C-index (0.809 to 0.807), and only 214 women (1.0%) were reclassified correctly. Conclusion : In this large prospective cohort of Caucasian women, genetic variation in chromosome 9p21.3 was associated with incident CVD but did not improve discrimination or classification of predicted risk.

Small-Cell Lung Cancer in Never-Smokers: A Case Series With Information on Family History of Cancer and Environmental Tobacco Smoke

2012 ◽  
Vol 13 (1) ◽  
pp. 75-79 ◽  
Author(s):  
Yu Kurahara ◽  
Tomoya Kawaguchi ◽  
Kazunobu Tachibana ◽  
Shinji Atagi ◽  
Seiji Hayashi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Family History ◽  
Environmental Tobacco Smoke ◽  
Tobacco Smoke ◽  
Case Series ◽  
Small Cell ◽  
Small Cell Lung ◽  
History Of ◽  
Never Smokers ◽  
History Of Cancer

scholarly journals Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine (Preprint)

2018 ◽  
Author(s):  
Xiaofang Wang ◽  
Yan Zhang ◽  
Shiying Hao ◽  
Le Zheng ◽  
Jiayu Liao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
At Risk ◽  
High Risk ◽  
Electronic Health Records ◽  
Prediction Model ◽  
Risk Prediction ◽  
Prospective Cohort ◽  
Retrospective Cohort ◽  
Health Records ◽  
History Of

BACKGROUND Lung cancer is the leading cause of cancer death worldwide. Early detection of individuals at risk of lung cancer is critical to reduce the mortality rate. OBJECTIVE The aim of this study was to develop and validate a prospective risk prediction model to identify patients at risk of new incident lung cancer within the next 1 year in the general population. METHODS Data from individual patient electronic health records (EHRs) were extracted from the Maine Health Information Exchange network. The study population consisted of patients with at least one EHR between April 1, 2016, and March 31, 2018, who had no history of lung cancer. A retrospective cohort (N=873,598) and a prospective cohort (N=836,659) were formed for model construction and validation. An Extreme Gradient Boosting (XGBoost) algorithm was adopted to build the model. It assigned a score to each individual to quantify the probability of a new incident lung cancer diagnosis from October 1, 2016, to September 31, 2017. The model was trained with the clinical profile in the retrospective cohort from the preceding 6 months and validated with the prospective cohort to predict the risk of incident lung cancer from April 1, 2017, to March 31, 2018. RESULTS The model had an area under the curve (AUC) of 0.881 (95% CI 0.873-0.889) in the prospective cohort. Two thresholds of 0.0045 and 0.01 were applied to the predictive scores to stratify the population into low-, medium-, and high-risk categories. The incidence of lung cancer in the high-risk category (579/53,922, 1.07%) was 7.7 times higher than that in the overall cohort (1167/836,659, 0.14%). Age, a history of pulmonary diseases and other chronic diseases, medications for mental disorders, and social disparities were found to be associated with new incident lung cancer. CONCLUSIONS We retrospectively developed and prospectively validated an accurate risk prediction model of new incident lung cancer occurring in the next 1 year. Through statistical learning from the statewide EHR data in the preceding 6 months, our model was able to identify statewide high-risk patients, which will benefit the population health through establishment of preventive interventions or more intensive surveillance.

A family history of cancer and lung cancer risk in never-smokers: A clinic-based case–control study

Lung Cancer ◽  
2015 ◽  
Vol 89 (2) ◽  
pp. 94-98 ◽  
Author(s):  
Huan Lin ◽  
Yi-Sheng Huang ◽  
Hong-hong Yan ◽  
Xue-Ning Yang ◽  
Wen-Zhao Zhong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Family History ◽  
Cancer Risk ◽  
Case Control Study ◽  
Lung Cancer Risk ◽  
Case Control ◽  
History Of ◽  
Never Smokers ◽  
Control Study ◽  
History Of Cancer

Lung Function Test for Workers and its Quality Control Program

1994 ◽  
Vol 6 (2) ◽  
pp. 187
Author(s):  
Jung Keun Choi ◽  
Mi A Son ◽  
Hyun Kyung Kim ◽  
Domyung Paek ◽  
Byung Soon Choi
Keyword(s):  
Quality Control ◽  
Lung Function ◽  
Control Program ◽  
Lung Function Test ◽  
Quality Control Program ◽  
Function Test

AB0796 THE EVALUATION OF LUNG DIAGNOSTIC PROCEDURE AT THE ONSET OF INFLAMMATORY RHEUMATIC DISEASES WITH INTERSTITIAL LUNG DISEASE

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1422.3-1423
Author(s):  
T. Hoffmann ◽  
P. Oelzner ◽  
F. Marcus ◽  
M. Förster ◽  
J. Böttcher ◽  
...  
Keyword(s):  
Carbon Monoxide ◽  
Interstitial Lung Disease ◽  
Lung Function ◽  
Lung Disease ◽  
Sensitivity And Specificity ◽  
Lung Function Test ◽  
Inflammatory Rheumatic Diseases ◽  
X Ray ◽  
Function Test ◽  
Chest X Ray

Background:Interstitial lung disease (ILD) in inflammatory rheumatic diseases (IRD) is associated with increased mortality. Moreover, the lung is one of the most effected organs on IRD. Consequently, screening methods were required to the detect ILD in IRD.Objectives:The objective of the following study is to evaluate the diagnostic value of lung function test, chest x-ray and HR-CT of the lung in the detection of ILD at the onset of IRD.Methods:The study is designed as a case-control study and includes 126 patients with a newly diagnosed IRD. It was matched by gender, age and the performance of lung function test and chest x-ray. The sensitivity and specificity were verified by crosstabs and receiver operating characteristic (ROC) curve analysis. The study cohort was divided in two groups (ILD group: n = 63 and control group: n = 63). If possible, all patients received a lung function test and optional a chest x-ray. Patients with pathological findings in the screening tests (chest x-ray or reduced diffusing capacity for carbon monoxide (DLCO) < 80 %) maintained a high-resolution computer tomography (HR-CT) of the lung. Additionally, an immunological bronchioalveolar lavage was performed in the ILD group as gold standard for the detection of ILD.Results:The DLCO (< 80 %) revealed a sensitivity of 83.6 % and specificity of 45.8 % for the detection of ILD. Other examined parameter of lung function test showed no sufficient sensitivity as screening test (FVC = Forced Vital Capacity, FEV1 = Forced Expiratory Volume in 1 second, TLC = Total Lung Capacity, TLCO = Transfer factor of the Lung for carbon monoxide). Also, a combination of different parameter did not increase the sensitivity. The sensitivity and specificity of chest x-ray for the verification of ILD was 64.2 % versus 73.6 %. The combination of DLCO (< 80 %) and chest x-ray showed a sensitivity with 95.2 % and specificity with 38.7 %. The highest sensitivity (95.2 %) and specificity (77.4 %) was observed for the combination of DLCO (< 80 %) and HR-CT of the lung.Conclusion:The study highlighted that a reduced DLCO in lung function test is associated with a lung involvement in IRD. DLCO represented a potential screening parameter for lung manifestation in IRD. Especially patients with suspected vasculitis should receive an additional chest x-ray. Based on the high sensitivity of DLCO in combination with chest x-ray or HR-CT for the detection of ILD in IRD, all patients with a reduced DLCO (< 80%) should obtained an imaging of the lung.Disclosure of Interests:None declared

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