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On Exploring Hidden Structures Behind Cervical Cancer Incidence.

Niko Lietzén1, Janne Pitkäniemi2,3, Sirpa Heinävaara2,3

  • 11 Department of Mathematics and Systems Analysis, Aalto University School of Science, Espoo, Finland.

Cancer Control : Journal of the Moffitt Cancer Center
|September 26, 2018
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Summary

This study used time-series invariant coordinate selection (tICS) to analyze cervical cancer incidence data. The analysis revealed age-dependent etiological factors, with menopause age distinguishing distinct risk groups.

Keywords:
cancer incidencecervical cancerinvariant coordinate selectionmenopausetime series analysis

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Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Understanding disease etiology is crucial in epidemiology.
  • Population-based registry data offers insights into disease trends.
  • Cervical cancer incidence presents a significant public health challenge.

Purpose of the Study:

  • To explore hidden structures in age-stratified cervical cancer incidence data using time-series invariant coordinate selection (tICS).
  • To identify age-dependent etiological components of cervical cancer.
  • To investigate the relationship between menopause and cervical cancer risk across age groups.

Main Methods:

  • Application of time-series invariant coordinate selection (tICS) to analyze population-based registry data.
  • Analysis of age-stratified cervical cancer incidence in Finland from 1953 to 2014.
  • Latent component analysis to identify key drivers of incidence variation.

Main Results:

  • Latent components derived from tICS demonstrate that cervical cancer etiology is age-dependent.
  • Two latent tICS components explain a significant portion of incidence variation across age groups.
  • A specific tICS component effectively clusters age groups based on the median age of menopause.

Conclusions:

  • The etiology of cervical cancer is strongly age-dependent.
  • tICS is a valuable exploratory tool for uncovering hidden structures in epidemiological data.
  • The age of menopause is a critical factor differentiating cervical cancer risk across age demographics.