Clinical Features, Prognosis, Diagnostic Approaches and Treatment of Multiple Primary Malignancies in the Digestive System

Anticancer Res. 2019 Dec;39(12):6863-6870. doi: 10.21873/anticanres.13904.

Abstract

Background/aim: Additional primary malignancy (APM) risk is increasing with improved prognosis of cancer survivors. In order to clarify risk factors and patients susceptible to develop APMs, we investigated the clinical features, prognosis, and approaches for diagnosis and treatment in these patients.

Patients and methods: Among 874 patients newly diagnosed with gastrointestinal tract (GIT) or hepato-biliary-pancreatic (HBP) cancers between 2011 and 2014, 124 with a synchronous and/or metachronous APM were identified. Patient characteristics, time interval between the malignancies, clue to detect APMs, treatment approaches, and prognosis were investigated.

Results: Patients with APMs were older and predominantly male. Half of the metachronous APMs were detected within 3 years after the first primary malignancy (PM). The main clue to detect synchronous and metachronous APMs was preoperative screening for current PM, and follow-up of prior PM, respectively. There was no significant difference in the overall survival between colon cancer patients with or without APMs.

Conclusion: Multiple PMs were present in 14.2% of patients. Male and old age were identified to be risk factors for APM. Pre-operative screening and post-operative regular follow-ups are important for detecting synchronous or metachronous APMs.

Keywords: Additional primary malignancy (APM); colon cancer; digestive system; hepatobiliary-pancreatic cancer.

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Digestive System Neoplasms / diagnosis*
  • Digestive System Neoplasms / pathology
  • Digestive System Neoplasms / surgery*
  • Early Detection of Cancer
  • Female
  • Humans
  • Male
  • Neoplasms, Multiple Primary / diagnosis*
  • Neoplasms, Multiple Primary / pathology
  • Neoplasms, Multiple Primary / surgery*
  • Prognosis
  • Survival Analysis