Depth of invasion determined by magnetic resonance imaging in tongue cancer can be a predictor of cervical lymph node metastasis

Haraguchi, Kazuya; Yoshiga, Daigo; Oda, Masafumi; Tabe, Shirou; Mitsugi, Sho; Takahashi, Osamu; Habu, Manabu; Sasaguri, Masaaki; Morimoto, Yasuhiro; Yoshioka, Izumi; Tominaga, Kazuhiro

doi:10.1016/j.oooo.2020.07.005

Cited by 12 publications

(13 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our study showed that DOI (OR: 1.131, 95%CI: 1.031-1.253) based on MRI was an independent risk factor for CLNM in OTSCC patients. Kazuya Haraguchi et al [49] also demonstrated a signi cant correlation between the DOI of GdT1WI and T2WI and histopathological DOI, and they further determined the cut-off value of radiological DOI, which was 6.99mm in GdT1WI and 8.32mm in T2WI. PNI is an important risk factor affecting the prognosis and CLNM in OSCC patient, and cancers with PNI tend to be more invasive [4,50].…”

Section: Discussionmentioning

confidence: 95%

The application of nomogram model integrating clinical factors and multi-modal MRI radiomics features for predicting cervical lymph nodes metastasis for patients with oral tongue squamous cell carcinoma: a multicenter study

Liu,

Xiong,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

Background The aim of this study was to build and test the nomogram model integrating clinical factors and multi-modal MRI radiomics features to predict the risk of cervical lymph nodes metastasis (CLNM) in oral tongue squamous cell carcinoma (OTSCC) patients, and further validate the clinical utility of the model in cT1-T2 subgroup and cN0 subgroup. Materials and Methods A total of 326 patients enrolled from 2 centers made up group Ⅰ (including T1-Weighted Images (T1WI) and Fat-suppressed T2-Weighted Images (FS-T2WI)) and group Ⅱ (including T1WI, FS-T2WI and T1-Weighted Contrast Enhanced MRI (CE-MRI)). Patients were divided into training set, internal test set and external test set. Radiomics features from the three MRI sequences and clinical factors were extracted and selected. Radiomics models, clinical models and the combined models (nomogram models) integrating clinical factors and multi-modal MRI radiomics features were constructed respectively in two groups. cN0 subgroup and cT1-T2 subgroup analyses were performed. The performance of the three models was compared. Results The combined model integrating clinical factors and multi-modal MRI radiomics features in group Ⅱ had the best performance, with the AUCs of 0.983, 0.944 and 0.770 in the training set, internal test set and external test set. cN0 subgroup and cT1-T2 subgroup analyses confirmed excellent performance of the combined model in group Ⅱ, with the AUCs of 0.975 (0.944–0.992), 0.944 (0.720-1.000) and 0.728 (0.553–0.843) for cN0 subgroup, and the AUCs of 0.959 (0.860-1.000), 0.960 (0.871-1.000) and 0.804 (0.506-1.000) for cT1-T2 subgroup. Conclusions The combined model based on clinical factors and multi-modal MRI radiomics features including T1WI, FS-T2WI and CE-MRI can well predict the risk of preoperative CLNM for OTSCC patients.

show abstract

Section: Discussionmentioning

confidence: 95%

The application of nomogram model integrating clinical factors and multi-modal MRI radiomics features for predicting cervical lymph nodes metastasis for patients with oral tongue squamous cell carcinoma: a multicenter study

Liu,

Xiong,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…In general, endophytic-type TSCC is more invasive and more prone to metastasis than other types. Moreover, clinical outcomes in patients with endophytic-type TSCC are generally poor [18][19][20][21] . We have previously identified 26 genes that are overexpressed specifically in endophytic-type TSCC, compared with other types, by gene expression microarray analysis using clinical biopsy samples.…”

Section: Roles Of Igfbp-3 In Cell Migration and Growth In An Endophyt...mentioning

confidence: 99%

Roles of IGFBP-3 in cell migration and growth in an endophytic tongue squamous cell carcinoma cell line

Kaida

Nojima

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Insulin-like growth factor binding protein-3 (IGFBP-3) is a member of the IGFBP family that has high affinity for IGFs and functions as either an oncogene or tumor suppressor in various types of cancer. We previously found that IGFBP3 mRNA levels are higher in endophytic-type human tongue squamous cell carcinoma (TSCC) that is more invasive and more prone to metastasis than exophytic and superficial types. This finding prompted us to investigate the roles of IGFBP-3 in TSCC using SAS cells, which were originally derived from endophytic-type TSCC. Specifically, we used SAS cells that express a fluorescent ubiquitination-based cell-cycle indicator (Fucci). RNA-sequencing analysis indicated that IGFBP-3 is associated with cell migration and cell growth. In fact, IGFBP-3 knockdown downregulates cell migration and causes cells to arrest in G1. This migratory potential appears to be cell cycle–independent. IGFBP-3 knockdown also reduced levels of secreted IGFBP-3; however, decreased migratory potential was not rescued by exogenous recombinant human IGFBP-3. Furthermore, ERK activity was downregulated by IGFBP-3 depletion, which suggests that MEK/ERK signaling may be involved in IGFBP-3-mediated cell migration. We therefore conclude that intracellular IGFBP-3 enhances cell migration independently of the cell cycle in TSCC with a higher metastatic potential.

show abstract

“…In a recently published paper, Haraguchi et al 1 compared preoperative depth of invasion (DOI) obtained with magnetic resonance imaging (MRI) and histologic DOI to predict the cervical lymph node metastasis of tongue squamous cell carcinoma. The threshold value for DOI in determining cervical lymph node metastasis was also proposed.…”

Section: To the Editormentioning

confidence: 99%

Letter to the editor: Enhancing the predictive potential of preoperative DOI assessment using imaging techniques

Sarode

Sengupta

et al. 2021

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology

View full text Add to dashboard Cite

Depth of invasion determined by magnetic resonance imaging in tongue cancer can be a predictor of cervical lymph node metastasis

Cited by 12 publications

References 47 publications

The application of nomogram model integrating clinical factors and multi-modal MRI radiomics features for predicting cervical lymph nodes metastasis for patients with oral tongue squamous cell carcinoma: a multicenter study

The application of nomogram model integrating clinical factors and multi-modal MRI radiomics features for predicting cervical lymph nodes metastasis for patients with oral tongue squamous cell carcinoma: a multicenter study

Roles of IGFBP-3 in cell migration and growth in an endophytic tongue squamous cell carcinoma cell line

Letter to the editor: Enhancing the predictive potential of preoperative DOI assessment using imaging techniques

Contact Info

Product

Resources

About