Predicting progression-free survival after systemic therapy in advanced head and neck cancer: Bayesian regression and model development.

cancer biology clinical trial computational biology head human machine learning monocytes neck cancer predictive signature systems biology

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
23 12 2022
Historique:
received: 24 08 2021
accepted: 22 12 2022
pubmed: 24 12 2022
medline: 7 1 2023
entrez: 23 12 2022
Statut: epublish

Résumé

Advanced head and neck squamous cell carcinoma (HNSCC) is associated with a poor prognosis, and biomarkers that predict response to treatment are highly desirable. The primary aim was to predict progression-free survival (PFS) with a multivariate risk prediction model. Experimental covariates were derived from blood samples of 56 HNSCC patients which were prospectively obtained within a Phase 2 clinical trial (NCT02633800) at baseline and after the first treatment cycle of combined platinum-based chemotherapy with cetuximab treatment. Clinical and experimental covariates were selected by Bayesian multivariate regression to form risk scores to predict PFS. A 'baseline' and a 'combined' risk prediction model were generated, each of which featuring clinical and experimental covariates. The baseline risk signature has three covariates and was strongly driven by baseline percentage of CD33 This immune-based combined multimodality signature, obtained through longitudinal peripheral blood monitoring and validated in an independent cohort, presents a novel means of predicting response early on during the treatment course. Daiichi Sankyo Inc, Cancer Research UK, EU IMI2 IMMUCAN, UK Medical Research Council, European Research Council (335326), Merck Serono. Cancer Research Institute, National Institute for Health Research, Guy's and St Thomas' NHS Foundation Trust and The Institute of Cancer Research. NCT02633800.

Sections du résumé

Background
Advanced head and neck squamous cell carcinoma (HNSCC) is associated with a poor prognosis, and biomarkers that predict response to treatment are highly desirable. The primary aim was to predict progression-free survival (PFS) with a multivariate risk prediction model.
Methods
Experimental covariates were derived from blood samples of 56 HNSCC patients which were prospectively obtained within a Phase 2 clinical trial (NCT02633800) at baseline and after the first treatment cycle of combined platinum-based chemotherapy with cetuximab treatment. Clinical and experimental covariates were selected by Bayesian multivariate regression to form risk scores to predict PFS.
Results
A 'baseline' and a 'combined' risk prediction model were generated, each of which featuring clinical and experimental covariates. The baseline risk signature has three covariates and was strongly driven by baseline percentage of CD33
Conclusions
This immune-based combined multimodality signature, obtained through longitudinal peripheral blood monitoring and validated in an independent cohort, presents a novel means of predicting response early on during the treatment course.
Funding
Daiichi Sankyo Inc, Cancer Research UK, EU IMI2 IMMUCAN, UK Medical Research Council, European Research Council (335326), Merck Serono. Cancer Research Institute, National Institute for Health Research, Guy's and St Thomas' NHS Foundation Trust and The Institute of Cancer Research.
Clinical trial number
NCT02633800.

Identifiants

pubmed: 36562609
doi: 10.7554/eLife.73288
pii: 73288
pmc: PMC9815805
doi:
pii:

Substances chimiques

Cetuximab PQX0D8J21J

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2022, Barber, Mustapha, Flores-Borja et al.

Déclaration de conflit d'intérêts

PB is a shareholder of Nano Clinical Ltd, RM, FF, GA, GW, LD, AM, FW, JV, MG, JO, JA, ST, MD No competing interests declared, KN has received honoraria from Pfizer, GSK/Tesaro and Boheringer Ingleheim, and has had travel/accommodation/expenses paid for by Tesaro, SK has received research funding in the form of a grant from Novartis and Celgene, JD, JG is in employment with Daichii Sankyo, and has stock and other ownership interests, research funding within Daichii Sankyo and has had travel/accommodation/expenses paid for by Daichii Sankyo, KH has received honoraria from Amgen; Arch Oncology; AstraZeneca; Boehringer-Ingelheim; Bristol-Myers Squibb; Codiak; Inzen; Merck; MSD; Pfizer; Replimune and is on a speakers' bureau for Amgen, AstraZeneca; Bristol-Myers Squibb; Merck, MSD; Pfizer. KH has also received research funding from AstraZeneca, Boehringer-Ingelheim, MSD and Replimune, MF has received institutional research funding from AstraZeneca, Boehringer-Ingelheim, Merck and MSD and serves in a consulting or advisory role to Achilles, Astrazeneca, Bayer, Bristol-Myers Squibb, Celgene, Guardant Health, Merck, MSD, Nanobiotix, Novartis, Oxford VacMedix, Pfizer, Roche, Takeda, UltraHuman, AC has stock and other ownership interests with Saddle Point Science Limited, TN has received research funding from Astrazeneca and Daichii Sankyo. TN is a founder and shareholder in Nano Clinical Ltd, and PRB is a shareholder

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Auteurs

Paul R Barber (PR)

UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom.
Comprehensive Cancer Centre, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Rami Mustapha (R)

Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Fabian Flores-Borja (F)

Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Giovanna Alfano (G)

Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Kenrick Ng (K)

UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom.

Gregory Weitsman (G)

Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Luigi Dolcetti (L)

Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Ali Abdulnabi Suwaidan (AA)

Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Felix Wong (F)

Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Jose M Vicencio (JM)

UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom.
Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Myria Galazi (M)

UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom.

James W Opzoomer (JW)

Tumor Immunology Group, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

James N Arnold (JN)

Tumor Immunology Group, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Selvam Thavaraj (S)

Centre for Clinical, Oral & Translational Science, King's College London, London, United Kingdom.

Shahram Kordasti (S)

Systems Cancer Immunology, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

Jana Doyle (J)

Daiichi Sankyo Incorporated, Newark, United States.

Jon Greenberg (J)

Daiichi Sankyo Incorporated, Newark, United States.

Magnus T Dillon (MT)

The Institute of Cancer Research, London, United Kingdom.

Kevin J Harrington (KJ)

The Institute of Cancer Research, London, United Kingdom.

Martin Forster (M)

UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom.

Anthony C C Coolen (ACC)

Institute for Mathematical and Molecular Biomedicine, King's College London, London, United Kingdom.
Saddle Point Science Ltd, London, United Kingdom.

Tony Ng (T)

UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom.
Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.
Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.

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