TY - JOUR
T1 - The influence of tumor volume on the risk of distant metastases in head and neck squamous cell carcinomas
AU - Kjems, Julie
AU - Elisabet Håkansson, Katrin
AU - Andrup Kristensen, Claus
AU - Grau Eriksen, Jesper
AU - Horsholt Kristensen, Morten
AU - Ivalu Sander Holm, Anne
AU - Overgaard, Jens
AU - Rønn Hansen, Christian
AU - Zukauskaite, Ruta
AU - Johansen, Jørgen
AU - Richter Vogelius, Ivan
AU - Friborg, Jeppe
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/9
Y1 - 2023/9
N2 - Background and purpose: Distant metastases (DM) in head and neck squamous cell carcinomas (HNSCC) are in most circumstances non-curable. The TNM staging system is insufficient to predict the risk of DM. This study investigates if the DM risk can be predicted using a multivariate model including pre-treatment total tumor volume for both p16-positive oropharyngeal squamous cell carcinoma (OPSCC) and all other sites (other HNSCC). Materials and methods: The study includes patients with localized pharyngeal and laryngeal squamous cell carcinomas treated with primary radiotherapy from 2008-2017 from three head and neck cancer centers. Patients were identified in the Danish Head and Neck Cancer (DAHANCA) database. Total (nodal and primary) tumor volume (Gross Tumor Volume, GTV) was extracted from local treatment planning systems. The GTV was grouped by volume (cm3) in four intervals and included in a multivariate Cox proportional hazard regression controlled for pre-selected clinical values incl. stage. Results: The study includes 2,865 patients, of which 321 (11 %) had DM post-treatment. The risk of DM was assessed in a multivariate model based on 2,751 patients (p16-positive OPSCC: 1,032; and other HNSCC: 1,719). There was a significant association between GTV and the risk of DM, and in tumor volumes ≥ 50 cm3 hazard ratios of 7.6 (2.5–23.4) for p16-positive OPSCC and 4.1 (2.3–7.2) in other HNSCC were observed. Conclusion: Tumor volume is an independent risk factor for DM. The addition of total tumor volume to a predictive model is important to identify subgroups of HNSCC patients at high risk of DM.
AB - Background and purpose: Distant metastases (DM) in head and neck squamous cell carcinomas (HNSCC) are in most circumstances non-curable. The TNM staging system is insufficient to predict the risk of DM. This study investigates if the DM risk can be predicted using a multivariate model including pre-treatment total tumor volume for both p16-positive oropharyngeal squamous cell carcinoma (OPSCC) and all other sites (other HNSCC). Materials and methods: The study includes patients with localized pharyngeal and laryngeal squamous cell carcinomas treated with primary radiotherapy from 2008-2017 from three head and neck cancer centers. Patients were identified in the Danish Head and Neck Cancer (DAHANCA) database. Total (nodal and primary) tumor volume (Gross Tumor Volume, GTV) was extracted from local treatment planning systems. The GTV was grouped by volume (cm3) in four intervals and included in a multivariate Cox proportional hazard regression controlled for pre-selected clinical values incl. stage. Results: The study includes 2,865 patients, of which 321 (11 %) had DM post-treatment. The risk of DM was assessed in a multivariate model based on 2,751 patients (p16-positive OPSCC: 1,032; and other HNSCC: 1,719). There was a significant association between GTV and the risk of DM, and in tumor volumes ≥ 50 cm3 hazard ratios of 7.6 (2.5–23.4) for p16-positive OPSCC and 4.1 (2.3–7.2) in other HNSCC were observed. Conclusion: Tumor volume is an independent risk factor for DM. The addition of total tumor volume to a predictive model is important to identify subgroups of HNSCC patients at high risk of DM.
KW - Head and neck cancer
KW - Laryngeal cancer
KW - Metastasis
KW - Pharyngeal cancer
KW - Radiotherapy
KW - Tumor volume
UR - http://www.scopus.com/inward/record.url?scp=85164305702&partnerID=8YFLogxK
U2 - 10.1016/j.radonc.2023.109771
DO - 10.1016/j.radonc.2023.109771
M3 - Journal article
C2 - 37385382
AN - SCOPUS:85164305702
SN - 0167-8140
VL - 186
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
M1 - 109771
ER -