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1 March 2023
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Cover Image
Cover Image
The cover image is adapted from Figure 1 and Figure 2 in the article, “Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care,” by Chandran and colleagues. The prognostic relationship between diet and endometrial cancer survival remains largely unknown. According to the National Cancer Institute SEER database, while the median age for lung cancer is 71 years, while almost 30% of lung cancers are diagnosed in individuals younger than 65 years of age. Therefore, as a proof-of-concept, this study assessed feasibility in using machine learning to predict lung cancer risk over a 3-year period, and to identify a ‘high-risk subset’ among a relatively young cohort of patients 45–65 years of age, in a large Electronic Health Record (EHR) dataset. Although the incidence of lung cancer is lower in younger individuals, the model aimed to identify adults that comprise a high-risk group that could benefit from more detailed risk assessment. Over 4.7 million individuals, aged 45–65 years with no history of any cancer or lung cancer screening, diagnostic, or treatment procedures, with an outpatient visit in 2013 were identified in the Optum® De-identified HER Dataset. The model performed well temporally and externally, while performance was reduced for Asians and Hispanics. The high-dimensional model trained using big data identified a subset of patients with high lung cancer risk. The model demonstrated transportability to EHR and claims data, while underscoring the need to assess racial disparities when using machine learning methods. This internally and externally validated real-world data-based lung cancer prediction model is available on an open-source platform for broad sharing and application. For more information, see the article beginning on page 337. - PDF Icon PDF LinkTable of Contents
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ISSN 1055-9965
EISSN 1538-7755
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Research Articles
Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response
Robert Carreras-Torres; Andre E. Kim; Yi Lin; Virginia Díez-Obrero; Stephanie A. Bien; Conghui Qu; Jun Wang; Niki Dimou; Elom K. Aglago; Demetrius Albanes; Volker Arndt; James W. Baurley; Sonja I. Berndt; Stéphane Bézieau; D. Timothy Bishop; Emmanouil Bouras; Hermann Brenner; Arif Budiarto; Peter T. Campbell; Graham Casey; Andrew T. Chan; Jenny Chang-Claude; Xuechen Chen; David V. Conti; Christopher H. Dampier; Matthew A.M. Devall; David A. Drew; Jane C. Figueiredo; Steven Gallinger; Graham G. Giles; Stephen B. Gruber; Andrea Gsur; Marc J. Gunter; Tabitha A. Harrison; Akihisa Hidaka; Michael Hoffmeister; Jeroen R. Huyghe; Mark A. Jenkins; Kristina M. Jordahl; Eric Kawaguchi; Temitope O. Keku; Anshul Kundaje; Loic Le Marchand; Juan Pablo Lewinger; Li Li; Bharuno Mahesworo; John L. Morrison; Neil Murphy; Hongmei Nan; Rami Nassir; Polly A. Newcomb; Mireia Obón-Santacana; Shuji Ogino; Jennifer Ose; Rish K. Pai; Julie R. Palmer; Nikos Papadimitriou; Bens Pardamean; Anita R. Peoples; Paul D.P. Pharoah; Elizabeth A. Platz; Gad Rennert; Edward Ruiz-Narvaez; Lori C. Sakoda; Peter C. Scacheri; Stephanie L. Schmit; Robert E. Schoen; Anna Shcherbina; Martha L. Slattery; Mariana C. Stern; Yu-Ru Su; Catherine M. Tangen; Duncan C. Thomas; Yu Tian; Konstantinos K. Tsilidis; Cornelia M. Ulrich; Fränzel J.B. van Duijnhoven; Bethany Van Guelpen; Kala Visvanathan; Pavel Vodicka; Tjeng Wawan Cenggoro; Stephanie J. Weinstein; Emily White; Alicja Wolk; Michael O. Woods; Li Hsu; Ulrike Peters; Victor Moreno; W. James Gauderman
Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Yu-Ru Su; Lori C. Sakoda; Jihyoun Jeon; Minta Thomas; Yi Lin; Jennifer L. Schneider; Natalia Udaltsova; Jeffrey K. Lee; Iris Lansdorp-Vogelaar; Elisabeth F.P. Peterse; Ann G. Zauber; Jiayin Zheng; Yingye Zheng; Elizabeth Hauser; John A. Baron; Elizabeth L. Barry; D. Timothy Bishop; Hermann Brenner; Daniel D. Buchanan; Andrea Burnett-Hartman; Peter T. Campbell; Graham Casey; Sergi Castellví-Bel; Andrew T. Chan; Jenny Chang-Claude; Jane C. Figueiredo; Steven J. Gallinger; Graham G. Giles; Stephen B. Gruber; Andrea Gsur; Marc J. Gunter; Jochen Hampe; Heather Hampel; Tabitha A. Harrison; Michael Hoffmeister; Xinwei Hua; Jeroen R. Huyghe; Mark A. Jenkins; Temitope O. Keku; Loic Le Marchand; Li Li; Annika Lindblom; Victor Moreno; Polly A. Newcomb; Paul D.P. Pharoah; Elizabeth A. Platz; John D. Potter; Conghui Qu; Gad Rennert; Robert E. Schoen; Martha L. Slattery; Mingyang Song; Fränzel J.B. van Duijnhoven; Bethany Van Guelpen; Pavel Vodicka; Alicja Wolk; Michael O. Woods; Anna H. Wu; Richard B. Hayes; Ulrike Peters; Douglas A. Corley; Li Hsu
Pre-Surgery Inflammatory and Angiogenesis Biomarkers as Predictors of 12-Month Cancer-Related Distress: Results from the ColoCare Study
Clara L. Lindley; Biljana Gigic; Anita R. Peoples; Claire J. Han; Tengda Lin; Caroline Himbert; Christy A. Warby; Juergen Boehm; Sheetal Hardikar; Anjelica Ashworth; Martin Schneider; Alexis Ulrich; Petra Schrotz-King; Jane C. Figueiredo; Christopher I. Li; David Shibata; Erin M. Siegel; Adetunji T. Toriola; Cornelia M. Ulrich; Karen L. Syrjala; Jennifer Ose
The Interplay of Cesarean-Section Delivery and First-Birth Order as Risk Factors in Acute Lymphoblastic Leukemia
Maria S. Pombo-de-Oliveira; for the EMiLI Study Group; Eleni Th. Petridou; Maria A. Karalexi; Maria Elizangela Ramos Junqueira; Flávio Henrique Paraguassu Braga; Luis Fernando Bouzas; Glaucia Regina Costa Murra; Luiz Fernando Lopes; Evangelia Ntzani; Mel Greaves
Chronic Exposure to Drinking Water Arsenic and Gallbladder Cancer Risk: Preliminary Evidence from Endemic Regions of India
Krithiga Shridhar; Manigreeva Krishnatreya; Soumyajit Sarkar; Ranjit Kumar; Dimple Kondal; Steena Kuriakose; Vinutha RS; Amulya K. Singh; Amal Chandra Kataki; Ashok Ghosh; Abhijit Mukherjee; D. Prabhakaran; Debapriya Mondal; Poornima Prabhakaran; Preet K. Dhillon
Acrylamide and Glycidamide Hemoglobin Adduct Levels and Breast Cancer Risk in Japanese Women: A Nested Case–Control Study in the JPHC
Nobuhiro Narii; Kumiko Kito; Tomotaka Sobue; Ling Zha; Tetsuhisa Kitamura; Yasuto Matsui; Tomonari Matsuda; Ayaka Kotemori; Misako Nakadate; Motoki Iwasaki; Manami Inoue; Taiki Yamaji; Shoichiro Tsugane; Junko Ishihara; Norie Sawada
Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model
Nasim Mavaddat; Lorenzo Ficorella; Tim Carver; Andrew Lee; Alex P. Cunningham; Michael Lush; Joe Dennis; Marc Tischkowitz; Kate Downes; Donglei Hu; Eric Hahnen; Rita K. Schmutzler; Tracy L. Stockley; Gregory S. Downs; Tong Zhang; Anna M. Chiarelli; Stig E. Bojesen; Cong Liu; Wendy K. Chung; Monica Pardo; Lidia Feliubadaló; Judith Balmaña; Jacques Simard; Antonis C. Antoniou; Douglas F. Easton
Prospective and Cross-sectional Associations of the Rectal Tissue Microbiome with Colorectal Adenoma Recurrence
Doratha A. Byrd; Emily Vogtmann; Ana M. Ortega-Villa; Yunhu Wan; Maria Gomez; Stephanie Hogue; Andrew Warner; Bin Zhu; Casey Dagnall; Kristine Jones; Belynda Hicks; Paul S. Albert; Gwen Murphy; Rashmi Sinha
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