Identifying radiation-induced survivorship syndromes affecting bowel health in a cohort of gynecological cancer survivors
Journal article, 2017

Background: During radiotherapy unwanted radiation to normal tissue surrounding the tumor triggers survivorship diseases; we lack a nosology for radiation-induced survivorship diseases that decrease bowel health and we do not know which symptoms are related to which diseases. Methods: Gynecological-cancer survivors were followed-up two to 15 years after having undergone radiotherapy; they reported in a postal questionnaire the frequency of 28 different symptoms related to bowel health. Population-based controls gave the same information. With a modified factor analysis, we determined the optimal number of factors, factor loadings for each symptom, factor-specific factor-loading cutoffs and factor scores. Results: Altogether data from 623 survivors and 344 population-based controls were analyzed. Six factors best explain the correlation structure of the symptoms; for five of these a statistically significant difference (P< 0.001, Mann-Whitney U test) was found between survivors and controls concerning factor score quantiles. Taken together these five factors explain 42 percent of the variance of the symptoms. We interpreted these five factors as radiation-induced syndromes that may reflect distinct survivorship diseases. We obtained the following frequencies, defined as survivors having a factor loading above the 95 percent percentile of the controls, urgency syndrome (190 of 623, 30 percent), leakage syndrome (164 of 623, 26 percent), excessive gas discharge (93 of 623, 15 percent), excessive mucus discharge (102 of 623, 16 percent) and blood discharge (63 of 623, 10 percent). Conclusion: Late effects of radiotherapy include five syndromes affecting bowel health; studying them and identifying the underlying survivorship diseases, instead of the approximately 30 long-term symptoms they produce, will simplify the search for prevention, alleviation and elimination. © 2017 Steineck et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Author

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University of Gothenburg

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University of Gothenburg

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University of Gothenburg

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University of Gothenburg

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University of Gothenburg

[Person 004b12a2-bc57-4e19-8d59-47bc8478e232 not found]

Ersta Sköndal University College

[Person 21dad085-c20b-4b73-9b63-195d0a2fb40a not found]

University of Gothenburg

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University of Gothenburg

[Person 27ce1768-a506-49bb-b16c-b42df9408f9f not found]

Memorial Sloan-Kettering Cancer Center

[Person 69a54a31-2a3b-451a-b647-f4a4097a410a not found]

Memorial Sloan-Kettering Cancer Center

[Person 5aaff1b4-3bf8-4200-af5d-86256481f057 not found]

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

University of Gothenburg

PLoS ONE

1932-6203 (ISSN) 19326203 (eISSN)

Vol. 12 2 Article no e0171461- e0171461

Driving Forces

Sustainable development

Subject Categories (SSIF 2011)

Mathematics

Cancer and Oncology

DOI

10.1371/journal.pone.0171461

More information

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4/5/2022 7