Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers

Classification tree analysis

Stephanie Silvera, Susan T. Mayne, Marilie D. Gammon, Thomas L. Vaughan, Wong Ho Chow, Joel A. Dubin, Robert Dubrow, Janet L. Stanford, A. Brian West, Heidrun Rotterdam, William J. Blot, Harvey A. Risch

Research output: Contribution to journalArticleResearchpeer-review

28 Citations (Scopus)

Abstract

Purpose: Although risk factors for squamous cell carcinoma of the esophagus and adenocarcinomas of the esophagus (EA), gastric cardia (GC), and other (noncardia) gastric (OG) sites have been identified, little is known about interactions among risk factors. We sought to examine interactions of diet, other lifestyle, and medical factors with risks of subtypes of esophageal and gastric cancers. Methods: We used classification tree analysis to analyze data from a population-based case-control study (1095 cases, 687 controls) conducted in Connecticut, New Jersey, and western Washington State. Results: Frequency of reported gastroesophageal reflux disease symptoms was the most important risk stratification factor for EA, GC, and OG, with dietary factors (EA, OG), smoking (EA, GC), wine intake (GC, OG), age (OG), and income (OG) appearing to modify the risk of these cancer sites. For esophageal squamous cell carcinoma, smoking was the most important risk stratification factor, with gastroesophageal reflux disease, income, race, noncitrus fruit, and energy intakes further modifying risk. Conclusion: Various combinations of risk factors appear to interact to affect risk of each cancer subtype. Replication of these data mining analyses are required before suggesting causal pathways; however, the classification tree results are useful in partitioning risk and mapping multilevel interactions among risk variables.

Original languageEnglish
Pages (from-to)50-57
Number of pages8
JournalAnnals of Epidemiology
Volume24
Issue number1
DOIs
StatePublished - 1 Jan 2014

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Esophageal Neoplasms
Stomach Neoplasms
Life Style
Stomach
Diet
Cardia
Esophagus
Gastroesophageal Reflux
Smoking
Data Mining
Wine
Energy Intake
Case-Control Studies
Squamous Cell Carcinoma
Fruit
Neoplasms

Keywords

  • CART
  • Classification tree
  • Diet
  • Esophageal adenocarcinoma
  • Gastric cardia adenocarcinoma
  • Gastroesophageal reflux disease

Cite this

Silvera, Stephanie ; Mayne, Susan T. ; Gammon, Marilie D. ; Vaughan, Thomas L. ; Chow, Wong Ho ; Dubin, Joel A. ; Dubrow, Robert ; Stanford, Janet L. ; West, A. Brian ; Rotterdam, Heidrun ; Blot, William J. ; Risch, Harvey A. / Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers : Classification tree analysis. In: Annals of Epidemiology. 2014 ; Vol. 24, No. 1. pp. 50-57.
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abstract = "Purpose: Although risk factors for squamous cell carcinoma of the esophagus and adenocarcinomas of the esophagus (EA), gastric cardia (GC), and other (noncardia) gastric (OG) sites have been identified, little is known about interactions among risk factors. We sought to examine interactions of diet, other lifestyle, and medical factors with risks of subtypes of esophageal and gastric cancers. Methods: We used classification tree analysis to analyze data from a population-based case-control study (1095 cases, 687 controls) conducted in Connecticut, New Jersey, and western Washington State. Results: Frequency of reported gastroesophageal reflux disease symptoms was the most important risk stratification factor for EA, GC, and OG, with dietary factors (EA, OG), smoking (EA, GC), wine intake (GC, OG), age (OG), and income (OG) appearing to modify the risk of these cancer sites. For esophageal squamous cell carcinoma, smoking was the most important risk stratification factor, with gastroesophageal reflux disease, income, race, noncitrus fruit, and energy intakes further modifying risk. Conclusion: Various combinations of risk factors appear to interact to affect risk of each cancer subtype. Replication of these data mining analyses are required before suggesting causal pathways; however, the classification tree results are useful in partitioning risk and mapping multilevel interactions among risk variables.",
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Silvera, S, Mayne, ST, Gammon, MD, Vaughan, TL, Chow, WH, Dubin, JA, Dubrow, R, Stanford, JL, West, AB, Rotterdam, H, Blot, WJ & Risch, HA 2014, 'Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers: Classification tree analysis', Annals of Epidemiology, vol. 24, no. 1, pp. 50-57. https://doi.org/10.1016/j.annepidem.2013.10.009

Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers : Classification tree analysis. / Silvera, Stephanie; Mayne, Susan T.; Gammon, Marilie D.; Vaughan, Thomas L.; Chow, Wong Ho; Dubin, Joel A.; Dubrow, Robert; Stanford, Janet L.; West, A. Brian; Rotterdam, Heidrun; Blot, William J.; Risch, Harvey A.

In: Annals of Epidemiology, Vol. 24, No. 1, 01.01.2014, p. 50-57.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers

T2 - Classification tree analysis

AU - Silvera, Stephanie

AU - Mayne, Susan T.

AU - Gammon, Marilie D.

AU - Vaughan, Thomas L.

AU - Chow, Wong Ho

AU - Dubin, Joel A.

AU - Dubrow, Robert

AU - Stanford, Janet L.

AU - West, A. Brian

AU - Rotterdam, Heidrun

AU - Blot, William J.

AU - Risch, Harvey A.

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Y1 - 2014/1/1

N2 - Purpose: Although risk factors for squamous cell carcinoma of the esophagus and adenocarcinomas of the esophagus (EA), gastric cardia (GC), and other (noncardia) gastric (OG) sites have been identified, little is known about interactions among risk factors. We sought to examine interactions of diet, other lifestyle, and medical factors with risks of subtypes of esophageal and gastric cancers. Methods: We used classification tree analysis to analyze data from a population-based case-control study (1095 cases, 687 controls) conducted in Connecticut, New Jersey, and western Washington State. Results: Frequency of reported gastroesophageal reflux disease symptoms was the most important risk stratification factor for EA, GC, and OG, with dietary factors (EA, OG), smoking (EA, GC), wine intake (GC, OG), age (OG), and income (OG) appearing to modify the risk of these cancer sites. For esophageal squamous cell carcinoma, smoking was the most important risk stratification factor, with gastroesophageal reflux disease, income, race, noncitrus fruit, and energy intakes further modifying risk. Conclusion: Various combinations of risk factors appear to interact to affect risk of each cancer subtype. Replication of these data mining analyses are required before suggesting causal pathways; however, the classification tree results are useful in partitioning risk and mapping multilevel interactions among risk variables.

AB - Purpose: Although risk factors for squamous cell carcinoma of the esophagus and adenocarcinomas of the esophagus (EA), gastric cardia (GC), and other (noncardia) gastric (OG) sites have been identified, little is known about interactions among risk factors. We sought to examine interactions of diet, other lifestyle, and medical factors with risks of subtypes of esophageal and gastric cancers. Methods: We used classification tree analysis to analyze data from a population-based case-control study (1095 cases, 687 controls) conducted in Connecticut, New Jersey, and western Washington State. Results: Frequency of reported gastroesophageal reflux disease symptoms was the most important risk stratification factor for EA, GC, and OG, with dietary factors (EA, OG), smoking (EA, GC), wine intake (GC, OG), age (OG), and income (OG) appearing to modify the risk of these cancer sites. For esophageal squamous cell carcinoma, smoking was the most important risk stratification factor, with gastroesophageal reflux disease, income, race, noncitrus fruit, and energy intakes further modifying risk. Conclusion: Various combinations of risk factors appear to interact to affect risk of each cancer subtype. Replication of these data mining analyses are required before suggesting causal pathways; however, the classification tree results are useful in partitioning risk and mapping multilevel interactions among risk variables.

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KW - Diet

KW - Esophageal adenocarcinoma

KW - Gastric cardia adenocarcinoma

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