Cargando…
Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity
BACKGROUND: Emerging biomarkers from medical imaging or molecular characterization of tumour biopsies open up for combining the two and exploiting their synergy in treatment planning of cancer patients. We generated a paired data set of imaging- and gene-based hypoxia biomarkers in cervical cancer,...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317686/ https://www.ncbi.nlm.nih.gov/pubmed/32580139 http://dx.doi.org/10.1016/j.ebiom.2020.102841 |
_version_ | 1783550682336329728 |
---|---|
author | Fjeldbo, Christina S. Hompland, Tord Hillestad, Tiril Aarnes, Eva-Katrine Günther, Clara-Cecilie Kristensen, Gunnar B. Malinen, Eirik Lyng, Heidi |
author_facet | Fjeldbo, Christina S. Hompland, Tord Hillestad, Tiril Aarnes, Eva-Katrine Günther, Clara-Cecilie Kristensen, Gunnar B. Malinen, Eirik Lyng, Heidi |
author_sort | Fjeldbo, Christina S. |
collection | PubMed |
description | BACKGROUND: Emerging biomarkers from medical imaging or molecular characterization of tumour biopsies open up for combining the two and exploiting their synergy in treatment planning of cancer patients. We generated a paired data set of imaging- and gene-based hypoxia biomarkers in cervical cancer, appraised the influence of intratumour heterogeneity in patient classification, and investigated the benefit of combining the methodologies in prediction of chemoradiotherapy failure. METHODS: Hypoxic fraction from dynamic contrast enhanced (DCE)-MR images and an expression signature of six hypoxia-responsive genes were assessed as imaging- and gene-based biomarker, respectively in 118 patients. FINDINGS: Dichotomous biomarker cutoff to yield similar hypoxia status by imaging and genes was defined in 41 patients, and the association was validated in the remaining 77 patients. The two biomarkers classified 75% of 118 patients with the same hypoxia status, and inconsistent classification was not related to imaging-defined intratumour heterogeneity in hypoxia. Gene-based hypoxia was independent on tumour cell fraction in the biopsies and showed minor heterogeneity across multiple samples in 9 tumours. Combining imaging- and gene-based classification gave a significantly better prediction of PFS than one biomarker alone. A combined dichotomous biomarker optimized in 77 patients showed a large separation in PFS between more and less hypoxic tumours, and separated the remaining 41 patients with different PFS. The combined biomarker showed prognostic value together with tumour stage in multivariate analysis. INTERPRETATION: Combining imaging- and gene-based biomarkers may enable more precise and informative assessment of hypoxia-related chemoradiotherapy resistance in cervical cancer. FUNDING: 10.13039/100008730Norwegian Cancer Society, South-Eastern Norway Regional Health Authority, and Norwegian Research Council. |
format | Online Article Text |
id | pubmed-7317686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73176862020-06-30 Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity Fjeldbo, Christina S. Hompland, Tord Hillestad, Tiril Aarnes, Eva-Katrine Günther, Clara-Cecilie Kristensen, Gunnar B. Malinen, Eirik Lyng, Heidi EBioMedicine Research paper BACKGROUND: Emerging biomarkers from medical imaging or molecular characterization of tumour biopsies open up for combining the two and exploiting their synergy in treatment planning of cancer patients. We generated a paired data set of imaging- and gene-based hypoxia biomarkers in cervical cancer, appraised the influence of intratumour heterogeneity in patient classification, and investigated the benefit of combining the methodologies in prediction of chemoradiotherapy failure. METHODS: Hypoxic fraction from dynamic contrast enhanced (DCE)-MR images and an expression signature of six hypoxia-responsive genes were assessed as imaging- and gene-based biomarker, respectively in 118 patients. FINDINGS: Dichotomous biomarker cutoff to yield similar hypoxia status by imaging and genes was defined in 41 patients, and the association was validated in the remaining 77 patients. The two biomarkers classified 75% of 118 patients with the same hypoxia status, and inconsistent classification was not related to imaging-defined intratumour heterogeneity in hypoxia. Gene-based hypoxia was independent on tumour cell fraction in the biopsies and showed minor heterogeneity across multiple samples in 9 tumours. Combining imaging- and gene-based classification gave a significantly better prediction of PFS than one biomarker alone. A combined dichotomous biomarker optimized in 77 patients showed a large separation in PFS between more and less hypoxic tumours, and separated the remaining 41 patients with different PFS. The combined biomarker showed prognostic value together with tumour stage in multivariate analysis. INTERPRETATION: Combining imaging- and gene-based biomarkers may enable more precise and informative assessment of hypoxia-related chemoradiotherapy resistance in cervical cancer. FUNDING: 10.13039/100008730Norwegian Cancer Society, South-Eastern Norway Regional Health Authority, and Norwegian Research Council. Elsevier 2020-06-21 /pmc/articles/PMC7317686/ /pubmed/32580139 http://dx.doi.org/10.1016/j.ebiom.2020.102841 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Fjeldbo, Christina S. Hompland, Tord Hillestad, Tiril Aarnes, Eva-Katrine Günther, Clara-Cecilie Kristensen, Gunnar B. Malinen, Eirik Lyng, Heidi Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity |
title | Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity |
title_full | Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity |
title_fullStr | Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity |
title_full_unstemmed | Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity |
title_short | Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity |
title_sort | combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317686/ https://www.ncbi.nlm.nih.gov/pubmed/32580139 http://dx.doi.org/10.1016/j.ebiom.2020.102841 |
work_keys_str_mv | AT fjeldbochristinas combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity AT homplandtord combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity AT hillestadtiril combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity AT aarnesevakatrine combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity AT guntherclaracecilie combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity AT kristensengunnarb combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity AT malineneirik combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity AT lyngheidi combiningimagingandgenebasedhypoxiabiomarkersincervicalcancerimprovespredictionofchemoradiotherapyfailureindependentofintratumourheterogeneity |