TY - JOUR
T1 - Prediction of Lymph node metastasis by tumor dimension versus tumor biological properties in head and neck squamous cell carcinomas
AU - Jang, Jeon Yeob
AU - Kim, Min Ji
AU - Ryu, Gwanghui
AU - Choi, Nayeon
AU - Ko, Young Hyeh
AU - Jeong, Han Sin
PY - 2016
Y1 - 2016
N2 - Purpose Lymph node metastasis (LNM) is a strong prognostic factor in many solid cancers, including head and neck squamous cell carcinomas (HNSCC), and LNM can be dependent upon primary tumor biology, as well as tumor dimension. Here, we investigate the relative risk of LNM in accordance to tumor dimension and biology in HNSCC subsites. Materials and Methods Medical data of 295 HNSCC patients who had undergone the initial curative surgery (oral tongue 174, oropharynx 75, hypopharynx 46) were analyzed to identify the significant predictive factor for LNM. Tumor volume and thickness were set as tumor dimensional variables, and biological variables included lymphovascular, perineural invasion, and tumor differentiation. Statistical analyses were conducted to assess the predictability of LNM from variables, and subgroup analyses according to the tumor subsites. In addition, we evaluated the impacts of tumor dimension and biological variables on the treatment outcomes and survival in HNSCC subsites. Results The overall tumor dimension and biological variables had a similar impact on the prediction of LNM in HNSCC (area under the curve, 0.7682 and 0.7717). The prediction sensitivity of LNM in oral tongue cancer was mainly dependent on tumor dimension, while LNM in oroand hypo-pharynx cancers was more influenced by biological factors. Survival analyses also confirmed that biological factor was more powerful in estimating disease-free survival of hypopharyngeal cancer patients, while tumor dimension was more significant in that of oral cancer patients. Conclusion Tumor dimension and biology have a significant, tumor subsite-dependent impact on the occurrence of LNM and disease-free survival in HNSCC.
AB - Purpose Lymph node metastasis (LNM) is a strong prognostic factor in many solid cancers, including head and neck squamous cell carcinomas (HNSCC), and LNM can be dependent upon primary tumor biology, as well as tumor dimension. Here, we investigate the relative risk of LNM in accordance to tumor dimension and biology in HNSCC subsites. Materials and Methods Medical data of 295 HNSCC patients who had undergone the initial curative surgery (oral tongue 174, oropharynx 75, hypopharynx 46) were analyzed to identify the significant predictive factor for LNM. Tumor volume and thickness were set as tumor dimensional variables, and biological variables included lymphovascular, perineural invasion, and tumor differentiation. Statistical analyses were conducted to assess the predictability of LNM from variables, and subgroup analyses according to the tumor subsites. In addition, we evaluated the impacts of tumor dimension and biological variables on the treatment outcomes and survival in HNSCC subsites. Results The overall tumor dimension and biological variables had a similar impact on the prediction of LNM in HNSCC (area under the curve, 0.7682 and 0.7717). The prediction sensitivity of LNM in oral tongue cancer was mainly dependent on tumor dimension, while LNM in oroand hypo-pharynx cancers was more influenced by biological factors. Survival analyses also confirmed that biological factor was more powerful in estimating disease-free survival of hypopharyngeal cancer patients, while tumor dimension was more significant in that of oral cancer patients. Conclusion Tumor dimension and biology have a significant, tumor subsite-dependent impact on the occurrence of LNM and disease-free survival in HNSCC.
KW - Head and neck neoplasms
KW - Lymphatic metastasis
KW - Neoplasm metastasis
KW - Tumor biological markers
KW - Tumor burden
UR - https://www.scopus.com/pages/publications/84957560369
U2 - 10.4143/crt.2014.332
DO - 10.4143/crt.2014.332
M3 - Article
C2 - 25761475
AN - SCOPUS:84957560369
SN - 1598-2998
VL - 48
SP - 54
EP - 62
JO - Cancer Research and Treatment
JF - Cancer Research and Treatment
IS - 1
ER -