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
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
Références
BMC Cancer. 2019 Jan 14;19(1):64
pubmed: 30642292
J Immunother Cancer. 2021 Jun;9(6):
pubmed: 34103355
J Pathol Clin Res. 2018 Jan 08;4(1):39-54
pubmed: 29416876
Cell. 2018 Nov 1;175(4):984-997.e24
pubmed: 30388455
Clin Cancer Res. 2013 Feb 15;19(4):889-99
pubmed: 23363813
J Immunother Cancer. 2019 Nov 27;7(1):325
pubmed: 31775882
N Engl J Med. 2009 Apr 2;360(14):1408-17
pubmed: 19339720
Eur J Cancer. 2019 Dec;123:36-47
pubmed: 31648099
Oral Oncol. 2021 Nov;122:105508
pubmed: 34507204
J Natl Cancer Inst. 2020 Sep 1;112(9):944-954
pubmed: 31851321
Acta Otorhinolaryngol Ital. 2017 Dec;37(6):458-466
pubmed: 28663597
J Exp Med. 2022 Jun 6;219(6):
pubmed: 35472220
Nat Cancer. 2021 Mar;2(3):300-311
pubmed: 34179824
Clin Cancer Res. 2016 Aug 1;22(15):3961-70
pubmed: 26920888
Am J Respir Crit Care Med. 2021 May 15;203(10):1230-1244
pubmed: 33306940
Scand J Immunol. 2007 Jun;65(6):514-24
pubmed: 17523943
Clin Cancer Res. 2013 Apr 1;19(7):1858-72
pubmed: 23444227
Front Immunol. 2020 Jul 08;11:1276
pubmed: 32733446
Nat Med. 2018 Jul;24(7):986-993
pubmed: 29942092
J Immunol. 2020 Feb 1;204(3):477-485
pubmed: 31964721
Sci Immunol. 2022 Apr 22;7(70):eabn1889
pubmed: 35452256
J Microsc. 2013 Aug;251(2):154-67
pubmed: 23772985
Head Neck. 2018 Mar;40(3):647-655
pubmed: 29076207
J Exp Med. 2020 Aug 3;217(8):
pubmed: 32525985
PLoS One. 2016 Jun 29;11(6):e0158404
pubmed: 27355322
J Exp Med. 2020 Oct 5;217(10):
pubmed: 32728699
Lancet. 2019 Nov 23;394(10212):1915-1928
pubmed: 31679945
J Immunol. 2015 Apr 1;194(7):3475-86
pubmed: 25725111
Transl Cancer Res. 2021 Jun;10(6):3090-3110
pubmed: 35116619
Br J Cancer. 2015 Jun 30;113(1):76-82
pubmed: 26057452
Head Neck. 2018 May;40(5):1091-1100
pubmed: 29356179
Bioinformatics. 2019 Jul 15;35(14):i446-i454
pubmed: 31510656
J Exp Med. 2021 Apr 5;218(4):
pubmed: 33651880
Blood. 2011 Aug 4;118(5):e16-31
pubmed: 21653326
Stat Med. 1984 Apr-Jun;3(2):143-52
pubmed: 6463451
JAMA Netw Open. 2020 Aug 3;3(8):e2011768
pubmed: 32821921
Nat Commun. 2016 Jul 06;7:12150
pubmed: 27381735
Cell Rep. 2018 Jul 17;24(3):630-641
pubmed: 30021161
Lancet Oncol. 2017 Aug;18(8):1022-1039
pubmed: 28687376
Curr Opin Immunol. 2020 Jun;64:1-8
pubmed: 31927332
Front Genet. 2019 Mar 08;10:166
pubmed: 30906311
Ann Oncol. 2020 Nov;31(11):1462-1475
pubmed: 33239190
Stat Methods Med Res. 2018 Feb;27(2):336-351
pubmed: 26984907
Cell. 2022 Aug 4;185(16):2918-2935.e29
pubmed: 35803260
Oncoimmunology. 2018 Aug 24;7(11):e1494112
pubmed: 30377562
Blood. 2011 Sep 22;118(12):e50-61
pubmed: 21803849
Nat Med. 2022 Jun;28(6):1167-1177
pubmed: 35662283
Nat Med. 2020 Feb;26(2):193-199
pubmed: 32042196