A New Nomogram for Predicting Overall Survival and Assisting Postoperative Adjuvant Treatment Decision-Making in Stage II Oral Tongue Squamous Cell Carcinoma: A Surveillance, Epidemiology and End Results (SEER) Database Analysis.
The survival benefit of postoperative adjuvant treatment (POAT) for stage II oral tongue squamous cell carcinoma (OTSCC) remains controversial. This large SEER-based study aims to establish a prognostic nomogram to visualize the overall survival of these patients and to aid in POAT decision making.
The cut-off points of age at diagnosis and examined lymph node number (ELN) were determined using the population-based data from the SEER database. Univariate and multivariate Cox hazards regression models were utilized to identify prognostic factors that were integrated into the establishment of the prognostic nomogram. Patients with stage II OTSCC were then stratified into 3 cohorts based on this nomogram. The survival benefit of POAT was evaluated in these cohorts.
Age at diagnosis (with cutoff points of 50 and 75 years) and ELN (with cutoff points of 0 and 22) was significantly associated with the survival outcomes in patients with stage II OTSCC. After the multivariate analysis, 4 factors, including age at diagnosis, sex, ELN, and differentiation grade, were identified as independent prognostic factors. Additionally, a prognostic nomogram with these factors was constructed to predict overall survival and to stratify these patients. Only patients in the high-risk cohort could significantly benefit from postoperative adjuvant treatment.
This prognostic nomogram could accurately predict the overall survival of stage II OTSCC patients after curative surgery. Notably, this model could also assist the decision-making of postoperative adjuvant treatment for patients with stage II OTSCC.
Huang F
，Xu G
，Du H
《-》
The optimal number of examined lymph nodes for accurate nodal staging and favorable prognosis of oral tongue squamous cell carcinoma.
The study aimed to determine the optimal count of examined lymph nodes (ELN) for accurate assessment of lymph node status and favorable long-term survival in patients with oral tongue squamous cell carcinoma (OTSCC) who received radical resection.
Patients with OTSCC who received radical resection between 2004 and 2015 were enrolled from the Surveillance, Epidemiology, and End Results database (SEER) and were randomly divided into two cohorts. The association of ELN count with nodal migration and overall survival (OS) was analyzed using a multivariate regression model with the adjustment of relevant factors. Locally weighted scatterplot smoothing (LOWESS) and 'strucchange' package were adopted to identify the optimal cut points using R.
A total of 2077 patients were included in this study. The optimal cut points of ELN count for accurate nodal staging and favorable OS were 19 and 15, respectively. The probability of detecting positive lymph nodes (PLN) significantly increased in patients with ELN count ≥ 19 in comparison to those with ELN count < 19 (training set, P < 0.001; validation set, P = 0.012). A better postoperative prognosis was observed in patients with ELN count ≥ 15 than those with fewer ELN (training set, P = 0.001, OR: 0.765; validation set, P = 0.016, OR: 0.678).
The optimal cut point of ELN count to ensure the accuracy of nodal staging and to achieve a favorable postoperative prognosis were 19 and 15, respectively. The ELN count beyond the cutoff values might improve the accuracy of cancer staging and OS.
Zhuge L
，Cai H
，Huang Z
，Wang S
，Li Z
... -
《-》
Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery.
Oral tongue squamous cell carcinoma (OTSCC) is a prevalent malignant disease that is characterized by high rates of metastasis and postoperative recurrence. The aim of this study was to establish a nomogram to predict the outcome of OTSCC patients after surgery.
We retrospectively analyzed 169 OTSCC patients who underwent treatments in the Cancer Hospital of Shantou University Medical College from 2008 to 2019. The Cox regression analysis was performed to determine the independent prognostic factors associated with patient's overall survival (OS). A nomogram based on these prognostic factors was established and internally validated using a bootstrap resampling method.
Multivariate Cox regression analysis revealed the independent prognostic factors for OS were TNM stage, age, lymphocyte-to-monocyte ratio and immunoglobulin G, all of which were identified to create the nomogram. The Akaike Information Criterion and Bayesian Information Criterion of the nomogram were lower than those of TNM stage (292.222 vs. 305.480; 298.444 vs. 307.036, respectively), indicating a better goodness-of-fit of the nomogram for predicting OS. The bootstrap-corrected of concordance index (C-index) of nomogram was 0.784 (95% CI 0.708-0.860), which was higher than that of TNM stage (0.685, 95% CI 0.603-0.767, P = 0.017). The results of time-dependent C-index for OS also showed that the nomogram had a better discriminative ability than that of TNM stage. The calibration curves of the nomogram showed good consistency between the probabilities and observed values. The decision curve analysis also revealed the potential clinical usefulness of the nomogram. Based on the cutoff value obtained from the nomogram, the proposed high-risk group had poorer OS than low-risk group (P < 0.0001).
The nomogram based on clinical characteristics and serological inflammation markers might be useful for outcome prediction of OTSCC patient.
Lin YW
，Kang WP
，Huang BL
，Qiu ZH
，Wei LF
，Zhang B
，Ding TY
，Luo Y
，Liu CT
，Chu LY
，Guo HP
，Xu YW
，Peng YH
... -
《BMC Oral Health》
A nomogram for predicting survival in Patients with oral tongue keratinized squamous cell carcinoma: A SEER-based study.
Oral tongue keratinized squamous cell carcinoma (OTKSCC), a relatively rare form of tongue cancer (TC) in clinical practice, accompanied by features of cell keratosis, is an uncommon histological subtype. However, its specific clinicopathological features and prognosis have not been adequately described. In this study, we aimed to create a nomogram using R language software to predict overall survival (OS) of patients with OTKSCC to assess the prognosis of OTKSCC patients.
We extracted clinical and related prognostic data of OTKSCC patients from 1975 to 2019 from the Surveillance, Epidemiology, and End Results database. Independent prognostic factors were selected using univariate and multivariate Cox analyses, and a nomogram was constructed using R software. The C-index, area under the curve (AUC) of receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA) were used to assess the clinical utility of the nomogram. Finally, OS was assessed using the Kaplan-Meier method.
A total of 2450 OTKSCC patients were included in the study. Univariate and multivariate Cox regression analyses were used to identify age, T stage, N stage, surgery, and radiation therapy as independent risk factors (p<0.05). In the training cohort, the calibration index of the nomogram was 0.725, while the AUC values for nomogram, age, T stage, N stage, surgery and radiation therapy were 0.878, 0.639, 0.781, 0.661, 0.724 and 0.354, respectively. At the same time, in the verification queue, the calibration index of the nomogram was 0.726, while the AUC values for nomogram, age, T stage, N stage, surgery and radiation therapy were 0.859,0.612,0.826,0.675,0.758 and 0.303, respectively. Ideal uniformity of the models from the training and validation cohorts was demonstrated in the calibration and DCA curves. Univariate survival analysis showed that age, T stage, N stage, surgery, and radiotherapy were statistically significant for prognosis (p<0.05).
Age, T stage, N stage, surgery, and radiation therapy are independently associated with the OS, and the established nomogram is an effective visualization tool for predicting the OS of OTKSCC patients.
Qin Z
，Hu Z
，Lai M
，Wang F
，Liu X
，Yin L
... -
《Journal of Stomatology Oral and Maxillofacial Surgery》
ResearchGate
(全网免费下载)
钛学术
(全网免费下载)
