Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity

Christina S Fjeldbo; Tord Hompland; Tiril Hillestad; Eva-Katrine Aarnes; Clara-Cecilie Günther; Gunnar B Kristensen; Eirik Malinen; Heidi Lyng

doi:10.1016/j.ebiom.2020.102841

Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity

EBioMedicine. 2020 Jul:57:102841. doi: 10.1016/j.ebiom.2020.102841. Epub 2020 Jun 21.

Authors

Christina S Fjeldbo¹, Tord Hompland², Tiril Hillestad³, Eva-Katrine Aarnes¹, Clara-Cecilie Günther⁴, Gunnar B Kristensen⁵, Eirik Malinen⁶, Heidi Lyng⁷

Affiliations

¹ Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
² Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Department of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
³ Department of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
⁴ Norwegian Computing Center, Gaustadalléen 23A, 0373 Oslo, Norway.
⁵ Department of Gynaecologic Oncology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Institute for Cancer Genetics and Informatics, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
⁶ Department of Medical Physics, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway.
⁷ Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway. Electronic address: heidi.lyng@rr-research.no.

Abstract

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: Norwegian Cancer Society, South-Eastern Norway Regional Health Authority, and Norwegian Research Council.

Keywords: Cervical cancer; Gene expression signature; Hypoxia; Intratumour heterogeneity; Medical imaging; Prognostic biomarker.

Publication types

Clinical Trial
Observational Study

MeSH terms

Adult
Aged
Aged, 80 and over
Biomarkers, Tumor / genetics*
Chemoradiotherapy / adverse effects
Diagnostic Imaging
Female
Gene Expression Profiling
Humans
Middle Aged
Neoplasm Proteins / genetics*
Norway / epidemiology
Prognosis
Progression-Free Survival
Treatment Outcome
Tumor Hypoxia / drug effects
Tumor Hypoxia / radiation effects
Uterine Cervical Neoplasms / diagnostic imaging
Uterine Cervical Neoplasms / drug therapy*
Uterine Cervical Neoplasms / genetics
Uterine Cervical Neoplasms / radiotherapy*

Substances

Biomarkers, Tumor
Neoplasm Proteins