Tumour microenvironment characterisation to stratify patients for hyperthermic intraperitoneal chemotherapy in high-grade serous ovarian cancer (OVHIPEC-1)

Background Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biom...

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Veröffentlicht in:British journal of cancer 2024-08, Vol.131 (3), p.565-576
Hauptverfasser: Aronson, S. Lot, Walker, Cédric, Thijssen, Bram, van de Vijver, Koen K., Horlings, Hugo M., Sanders, Joyce, Alkemade, Maartje, Koole, Simone N., Lopez-Yurda, Marta, Lok, Christianne A. R., Rottenberg, Sven, van Rheenen, Jacco, Sonke, Gabe S., van Driel, Willemien J., Kester, Lennart A., Hahn, Kerstin
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container_end_page 576
container_issue 3
container_start_page 565
container_title British journal of cancer
container_volume 131
creator Aronson, S. Lot
Walker, Cédric
Thijssen, Bram
van de Vijver, Koen K.
Horlings, Hugo M.
Sanders, Joyce
Alkemade, Maartje
Koole, Simone N.
Lopez-Yurda, Marta
Lok, Christianne A. R.
Rottenberg, Sven
van Rheenen, Jacco
Sonke, Gabe S.
van Driel, Willemien J.
Kester, Lennart A.
Hahn, Kerstin
description Background Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biomarkers that predict HIPEC benefit by analysing gene signatures and cellular composition of tumours from participants in the OVHIPEC-1 trial. Methods Whole-transcriptome RNA sequencing data were retrieved from high-grade serous ovarian cancer (HGSOC) samples from 147 patients obtained during interval CRS. We performed differential gene expression analysis and applied deconvolution methods to estimate cell-type proportions in bulk mRNA data, validated by histological assessment. We tested the interaction between treatment and potential predictors on progression-free survival using Cox proportional hazards models. Results While differential gene expression analysis did not yield any predictive biomarkers, the cellular composition, as characterised by deconvolution, indicated that the absence of macrophages and the presence of B cells in the tumour microenvironment are potential predictors of HIPEC benefit. The histological assessment confirmed the predictive value of macrophage absence. Conclusion Immune cell composition, in particular macrophages absence, may predict response to HIPEC in HGSOC and these hypothesis-generating findings warrant further investigation. Clinical trial registration NCT00426257.
doi_str_mv 10.1038/s41416-024-02731-6
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Lot ; Walker, Cédric ; Thijssen, Bram ; van de Vijver, Koen K. ; Horlings, Hugo M. ; Sanders, Joyce ; Alkemade, Maartje ; Koole, Simone N. ; Lopez-Yurda, Marta ; Lok, Christianne A. R. ; Rottenberg, Sven ; van Rheenen, Jacco ; Sonke, Gabe S. ; van Driel, Willemien J. ; Kester, Lennart A. ; Hahn, Kerstin</creator><creatorcontrib>Aronson, S. Lot ; Walker, Cédric ; Thijssen, Bram ; van de Vijver, Koen K. ; Horlings, Hugo M. ; Sanders, Joyce ; Alkemade, Maartje ; Koole, Simone N. ; Lopez-Yurda, Marta ; Lok, Christianne A. R. ; Rottenberg, Sven ; van Rheenen, Jacco ; Sonke, Gabe S. ; van Driel, Willemien J. ; Kester, Lennart A. ; Hahn, Kerstin ; OVHIPEC-1 Study Group</creatorcontrib><description>Background Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biomarkers that predict HIPEC benefit by analysing gene signatures and cellular composition of tumours from participants in the OVHIPEC-1 trial. Methods Whole-transcriptome RNA sequencing data were retrieved from high-grade serous ovarian cancer (HGSOC) samples from 147 patients obtained during interval CRS. We performed differential gene expression analysis and applied deconvolution methods to estimate cell-type proportions in bulk mRNA data, validated by histological assessment. We tested the interaction between treatment and potential predictors on progression-free survival using Cox proportional hazards models. Results While differential gene expression analysis did not yield any predictive biomarkers, the cellular composition, as characterised by deconvolution, indicated that the absence of macrophages and the presence of B cells in the tumour microenvironment are potential predictors of HIPEC benefit. The histological assessment confirmed the predictive value of macrophage absence. Conclusion Immune cell composition, in particular macrophages absence, may predict response to HIPEC in HGSOC and these hypothesis-generating findings warrant further investigation. 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Lot</creatorcontrib><creatorcontrib>Walker, Cédric</creatorcontrib><creatorcontrib>Thijssen, Bram</creatorcontrib><creatorcontrib>van de Vijver, Koen K.</creatorcontrib><creatorcontrib>Horlings, Hugo M.</creatorcontrib><creatorcontrib>Sanders, Joyce</creatorcontrib><creatorcontrib>Alkemade, Maartje</creatorcontrib><creatorcontrib>Koole, Simone N.</creatorcontrib><creatorcontrib>Lopez-Yurda, Marta</creatorcontrib><creatorcontrib>Lok, Christianne A. R.</creatorcontrib><creatorcontrib>Rottenberg, Sven</creatorcontrib><creatorcontrib>van Rheenen, Jacco</creatorcontrib><creatorcontrib>Sonke, Gabe S.</creatorcontrib><creatorcontrib>van Driel, Willemien J.</creatorcontrib><creatorcontrib>Kester, Lennart A.</creatorcontrib><creatorcontrib>Hahn, Kerstin</creatorcontrib><creatorcontrib>OVHIPEC-1 Study Group</creatorcontrib><title>Tumour microenvironment characterisation to stratify patients for hyperthermic intraperitoneal chemotherapy in high-grade serous ovarian cancer (OVHIPEC-1)</title><title>British journal of cancer</title><addtitle>Br J Cancer</addtitle><addtitle>Br J Cancer</addtitle><description>Background Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biomarkers that predict HIPEC benefit by analysing gene signatures and cellular composition of tumours from participants in the OVHIPEC-1 trial. Methods Whole-transcriptome RNA sequencing data were retrieved from high-grade serous ovarian cancer (HGSOC) samples from 147 patients obtained during interval CRS. We performed differential gene expression analysis and applied deconvolution methods to estimate cell-type proportions in bulk mRNA data, validated by histological assessment. We tested the interaction between treatment and potential predictors on progression-free survival using Cox proportional hazards models. Results While differential gene expression analysis did not yield any predictive biomarkers, the cellular composition, as characterised by deconvolution, indicated that the absence of macrophages and the presence of B cells in the tumour microenvironment are potential predictors of HIPEC benefit. The histological assessment confirmed the predictive value of macrophage absence. Conclusion Immune cell composition, in particular macrophages absence, may predict response to HIPEC in HGSOC and these hypothesis-generating findings warrant further investigation. 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Lot</au><au>Walker, Cédric</au><au>Thijssen, Bram</au><au>van de Vijver, Koen K.</au><au>Horlings, Hugo M.</au><au>Sanders, Joyce</au><au>Alkemade, Maartje</au><au>Koole, Simone N.</au><au>Lopez-Yurda, Marta</au><au>Lok, Christianne A. R.</au><au>Rottenberg, Sven</au><au>van Rheenen, Jacco</au><au>Sonke, Gabe S.</au><au>van Driel, Willemien J.</au><au>Kester, Lennart A.</au><au>Hahn, Kerstin</au><aucorp>OVHIPEC-1 Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tumour microenvironment characterisation to stratify patients for hyperthermic intraperitoneal chemotherapy in high-grade serous ovarian cancer (OVHIPEC-1)</atitle><jtitle>British journal of cancer</jtitle><stitle>Br J Cancer</stitle><addtitle>Br J Cancer</addtitle><date>2024-08-24</date><risdate>2024</risdate><volume>131</volume><issue>3</issue><spage>565</spage><epage>576</epage><pages>565-576</pages><issn>0007-0920</issn><issn>1532-1827</issn><eissn>1532-1827</eissn><abstract>Background Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biomarkers that predict HIPEC benefit by analysing gene signatures and cellular composition of tumours from participants in the OVHIPEC-1 trial. Methods Whole-transcriptome RNA sequencing data were retrieved from high-grade serous ovarian cancer (HGSOC) samples from 147 patients obtained during interval CRS. We performed differential gene expression analysis and applied deconvolution methods to estimate cell-type proportions in bulk mRNA data, validated by histological assessment. We tested the interaction between treatment and potential predictors on progression-free survival using Cox proportional hazards models. Results While differential gene expression analysis did not yield any predictive biomarkers, the cellular composition, as characterised by deconvolution, indicated that the absence of macrophages and the presence of B cells in the tumour microenvironment are potential predictors of HIPEC benefit. The histological assessment confirmed the predictive value of macrophage absence. Conclusion Immune cell composition, in particular macrophages absence, may predict response to HIPEC in HGSOC and these hypothesis-generating findings warrant further investigation. 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subjects 631/67/1517/1709
631/67/1857
692/4028/67/1517/1709
692/53/2423
Aged
Biomarkers
Biomarkers, Tumor - analysis
Biomarkers, Tumor - genetics
Biomarkers, Tumor - immunology
Biomedical and Life Sciences
Biomedicine
Cancer Research
Chemotherapy
Cystadenocarcinoma, Serous - drug therapy
Cystadenocarcinoma, Serous - pathology
Cystadenocarcinoma, Serous - therapy
Cytoreduction Surgical Procedures
Drug Resistance
Epidemiology
Female
Gene expression
Humans
Hyperthermic Intraperitoneal Chemotherapy
Lymphocytes B
Macrophages
Macrophages - pathology
Middle Aged
Molecular Medicine
Oncology
Ovarian cancer
Ovarian Neoplasms - drug therapy
Ovarian Neoplasms - pathology
Ovarian Neoplasms - therapy
Patients
Transcriptomes
Tumor Microenvironment
Tumors
title Tumour microenvironment characterisation to stratify patients for hyperthermic intraperitoneal chemotherapy in high-grade serous ovarian cancer (OVHIPEC-1)
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