Back

A Clinically Translatable Immune-based Classification of HPV-associated Head and Neck Cancer with Implications for Biomarker-Driven Treatment Deintensification and Immunotherapy

Zeng, P. Y.; Cecchini, M. J.; Barrett, J. W.; Shammas-Toma, M.; De Cecco, L.; Serafini, M. S.; Cavalieri, S.; Licitra, L.; Hoebers, F.; Brakenhoff, R. H.; Leemans, C. R.; Scheckenbach, K.; Poli, T.; Wang, X. Y.; Liu, X.; Laxague, F.; Prisman, E.; Poh, C.; Bose, P.; Dort, J.; Shaikh, M. H.; Belle Ryan, S. E. E.; Dawson, A.; Khan, M. I.; Howlett, C. J.; Stecho, W.; Plantinga, P.; da Silva, S. D.; Hier, M.; Khan, H.; MacNeil, D.; Mendez, A.; Yoo, J.; Fung, K.; Lang, P.; Winquist, E.; Palma, D.; Ziai, H.; Amelio, A. L.; Li, S.; Boutros, P. C.; Mymryk, J. S.; Nichols, A. C.

2022-02-27 oncology
10.1101/2022.02.26.22271531 medRxiv
Show abstract

PurposeHuman papillomavirus-associated (HPV+) head and neck squamous cell carcinoma (HNSCC) is the fastest rising cancer in North America. There is significant interest in treatment de-escalation for these patients given the generally favourable prognosis. However, 15-30% of patients recur after primary treatment, reflecting a need for improved risk-stratification tools. We sought to develop a molecular test to predict the survival of patients with newly diagnosed HPV+ HNSCC. MethodsWe created a prognostic score (UWO3) that was successfully validated in six independent cohorts comprising 906 patients, including blinded retrospective and prospective external validations. Transcriptomic data from two aggressive radiation de-escalation cohorts were used to assess the ability of UWO3 to identify patients who recur. Multivariate Cox models were used to assess the associations between the UWO3 immune class and outcomes. ResultsA three-gene immune score classified patients into three immune classes (immune rich, mixed, or immune desert) and was strongly associated with disease-free survival in six datasets, including large retrospective and prospective datasets. Pooled analysis demonstrated that the immune rich group had superior disease-free survival at 5 years to the immune desert (HR= 9.0, 95% CI 3.2-25.5, P=3.6x10-5) and mixed (HR=6.4, 95%CI 2.2-18.7, P=0.006) groups after adjusting for age, sex, smoking status, and AJCC8 clinical stage. Finally, UWO3 was able to identify patients from two treatment de-escalation cohorts who remain disease-free after aggressive de-escalation to 30 Gy radiation. ConclusionsThe UWO3 immune score could enable biomarker-driven clinical decision-making for patients with HPV+ HNSCC based on robust outcome prediction across six independent cohorts. The superior survival of immune rich patients supports de-intensification strategies, while the inferior outcomes of the immune desert patients suggest the potential for intensification and/or immunotherapy. Prospective de-escalation and intensification clinical trials are currently being planned.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
JNCI: Journal of the National Cancer Institute
16 papers in training set
Top 0.1%
14.0%
2
Clinical Cancer Research
58 papers in training set
Top 0.1%
14.0%
3
International Journal of Radiation Oncology*Biology*Physics
21 papers in training set
Top 0.1%
14.0%
4
Radiotherapy and Oncology
18 papers in training set
Top 0.1%
8.2%
50% of probability mass above
5
Annals of Oncology
13 papers in training set
Top 0.1%
6.6%
6
Nature Communications
4913 papers in training set
Top 34%
4.7%
7
PLOS ONE
4510 papers in training set
Top 41%
3.5%
8
JCO Clinical Cancer Informatics
18 papers in training set
Top 0.3%
3.0%
9
Neuro-Oncology
30 papers in training set
Top 0.3%
2.4%
10
Cancer Epidemiology, Biomarkers & Prevention
17 papers in training set
Top 0.2%
2.3%
11
Frontiers in Oncology
95 papers in training set
Top 2%
1.7%
12
JNCI Cancer Spectrum
10 papers in training set
Top 0.3%
1.7%
13
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.6%
1.7%
14
Scientific Reports
3102 papers in training set
Top 63%
1.4%
15
European Journal of Cancer
10 papers in training set
Top 0.2%
1.4%
16
BMC Cancer
52 papers in training set
Top 2%
1.3%
17
Cell Reports Medicine
140 papers in training set
Top 5%
1.2%
18
JAMA Network Open
127 papers in training set
Top 3%
1.2%
19
Molecular Cancer Therapeutics
33 papers in training set
Top 0.6%
0.9%
20
JCO Precision Oncology
14 papers in training set
Top 0.3%
0.9%
21
Cancer Letters
32 papers in training set
Top 0.6%
0.9%
22
Cancers
200 papers in training set
Top 5%
0.8%
23
Neuro-Oncology Advances
24 papers in training set
Top 0.4%
0.8%
24
Journal of Translational Medicine
46 papers in training set
Top 3%
0.7%
25
Journal of Personalized Medicine
28 papers in training set
Top 1%
0.7%
26
British Journal of Cancer
42 papers in training set
Top 2%
0.6%
27
Cancer Medicine
24 papers in training set
Top 2%
0.6%
28
npj Precision Oncology
48 papers in training set
Top 2%
0.6%