ObjectiveTo investigate the risk factors for central lymph node metastasis (CLNM) in patients with clinically negative lymph node (cN0 stage) papillary thyroid carcinoma (PTC).MethodsThe clinicopathological data of 250 patients with cN0 PTC who underwent thyroidectomy and central lymph node dissection (CLND) in Department of General Surgery of Xuzhou Central Hospital from June 2016 to June 2019 were retrospectively analyzed. The influencing factors of CLNM in patients with cN0 PTC were analyzed by univariate analysis and binary logistic regression, and then R software was used to establish a nomogram prediction model, receiver operating characteristic curve was used to evaluate the differentiation degree of the model, and Bootstrap method was used for internal verification to evaluate the calibration degree of the model.ResultsCLNM occurred in 147 of 250 patients with cN0 PTC, with an incidence of 58.8%. Univariate analysis showed that multifocal, bilateral, tumor diameter, and age were correlated with CLNM (P<0.01). The results of binary logistic regression analysis showed that multifocal, bilateral tumors, age≥45 years old, and tumor diameter>1 cm were independent risk factors for CLNM in patients with cN0 PTC (P<0.05). The area under the curve (AUC) of the nomogram prediction model established on this basis was 0.738, and the calibration prediction curve in the calibration diagram fitted well with the ideal curve.ConclusionsCLNM is more likely to occur in PTC. The nomogram model constructed in this study can be used as an auxiliary means to predict CLNM in clinical practice.
Objective To summarize the relation between tumor location and lymph node metastasis in early stage of breast cancer, which is aimed at providing a more individualized treatment for breast cancer patients. Method The literatures about breast cancer location and lymph node metastasis in recent years were extracted, through the literatures study we made a thematic review of the relation between them. Results There were two main classification methods for the location of breast tumors at present: tumor in the different quadrants and tumor to skin distance. In the quadrant classification method, the tumor in the upper inner quadrant (UIQ) had the lowest lymph node metastasis rate, while the lower inner quadrant (LIQ) tumor recurrence-free survival rate and overall survival rate were significantly lower than other quadrants. When measuring tumor to skin distance, the closer the tumor was to the skin, the more likely lymph node metastasis occurred. In combination with the distribution, histology, and anatomical differences of lymphatic and lymphatic networks, our study group proposed to classify tumors according to different anatomical levels of the breast, thus the anatomic location of the tumor was divided into four types: constricted in the gland, break the anterior gland, break the posterior gland, and break both anterior and posterior gland. Conclusions Regardless of the way the location is classified, the location of breast tumors is closely related to lymphatic and lymph node metastasis. The new classification according to the distribution of tumors at different anatomical levels of the breast accords with the law of lymphatic metastasis is scientific and reasonable. Therefore, during clinical practices, we recommend to use the new method to classify tumor location, and we should consider the differences in the location of the patients’ tumor to assess the status of axillary lymph node, which may provide a more individualized treatment for breast cancer patients.
ObjectiveTo explore the value on excision of subpyloric (No.6 group) lymph nodes of stomach by detection of metastatic rate and metastasis of lymph nodes of No.6 group and its subgroups. MethodsThe clinical data including complete information on No.6 group and its subgroups lymph nodes in 80 patients underwent gastrectomy and subpyloric lymph nodes dissection for gastric cancer from January 2006 to December 2009 were retrospectively analyzed. Referring to the right gastroepiploic vein, the No.6 lymph nodes were divided into three subgroups (No.6a, No.6b, and No.6c subgroup), and the relationship between the metastasis of No.6 lymph nodes and clinicopathologic features as well as the metastasis of No.7, No.8a， and No.9 lymph nodes were analyzed by logistic regression analysis. ResultsThe metastatic rate of No.6 group lymph nodes was 41.3% (33/80) and with 26.0% (108/415) of the resected lymph nodes involved. The metastatic rate of lymph nodes in No.6a subgroup (7.5%, 6/80) was significantly lower than that in No.6b (16.3%, 13/80) and No.6c subgroup (36.3%, 29/80), Plt;0.001. The metastasis of the resected lymph nodes in No.6a, No.6b, and No.6c subgroup was 25.0% (8/32), 17.6% (13/74), and 28.2% (87/309), respectively, and the difference was not significant (P=0.292). The metastasis of lymph nodes in No.6a subgroup was correlated to T stage (P=0.042) and N stage (P=0.006). The metastasis of lymph nodes in No.6b subgroup was correlated to N stage (P=0.002) and TNM stage (P=0.013). The metastasis of lymph nodes in No.6c subgroup was correlated to differentiation degree of tumor (P=0.008), T stage (P=0.003), N stage (P=0.000), and TNM stage (P=0.000). The logistic regression analysis showed that the metastasis of lymph nodes was correlated to the metastasis of No.8a lymph nodes (P=0.023) and N stage (P=0.002) in No.6 group, the metastasis of No.8a lymph nodes (P=0.018) in No.6a subgroup, N stage (P=0.005) in No.6b subgroup, and the metastasis of No.8a lymph nodes (P=0.016) and N stage (P=0.004) in No.6c subgroup. ConclusionAttentions should be paid to the complete dissection of subpyloric lymph nodes in gastric cancer surgery, especially for the lymph nodes of No.6a and No.6b subgroups.
ObjectiveTo explore the risk factors of lymph node metastasis in patients with colorectal cancer, and construct a risk prediction model to provide reference for clinical diagnosis and treatment.MethodsThe clinicopathological data of 416 patients with colorectal cancer who underwent radical resection of colorectal cancer in the Department of Gastrointestinal Surgery of the Second Affiliated Hospital of Nanchang University from May 2018 to December 2019 were retrospectively analyzed. The correlation between lymph node metastasis and preoperative inflammatory markers, clinicopathological factors and tumor markers were analyzed. Logistic regression was used to analyze the risk factors of lymph node metastasis, and R language was used to construct nomogram model for evaluating the risk of colorectal cancer lymph node metastasis before surgery, and drew a calibration curve and compared with actual observations. The Bootstrap method was used for internal verification, and the consistency index (C-index) was calculated to evaluate the accuracy of the model.ResultsThe results of univariate analysis showed that factors such as sex, age, tumor location, smoking history, hypertension and diabetes history were not significantly related to lymph node metastasis (all P>0.05). The factors related to lymph node metastasis were tumor size, T staging, tumor differentiation level, fibrinogen, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), fibrinogen/albumin ratio (FAR), fibrinogen/prealbumin ratio (FpAR), CEA, and CA199 (all P<0.05). The results of logistic regression analysis showed the FpAR [OR=3.630, 95%CI (2.208, 5.968), P<0.001], CA199 [OR=2.058, 95%CI (1.221, 3.470), P=0.007], CEA [OR=2.335, 95%CI (1.372, 3.975), P=0.002], NLR [OR=2.532, 95%CI (1.491, 4.301), P=0.001], and T staging were independent risk factors for lymph node metastasis. The above independent risk factors were enrolled to construct regression equation and nomogram model, the area under the ROC curve of this equation was 0.803, and the sensitivity and specificity were 75.2% and 73.5%, respectively. The consistency index (C-index) of the nomogram prediction model in this study was 0.803, and the calibration curve showed that the result of predicting lymph node metastasis was highly consistent with actual observations.ConclusionsFpAR>0.018, NLR>3.631, CEA>4.620 U/mL, CA199>21.720 U/mL and T staging are independent risk factors for lymph node metastasis. The nomogram can accurately predict the risk of lymph node metastasis in patients with colorectal cancer before surgery, and provide certain assistance in the formulation of clinical diagnosis and treatment plans.
ObjectiveTo predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. MethodsWe analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. ResultsFinally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. ConclusionThis study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.
ObjectiveTo evaluate the diagnostic efficacy of thyroglobulin in fine-needle aspirate fluid (FNA-Tg) for detecting cervical lateral lymph node metastases (LLNM) in differentiated thyroid cancer (DTC). MethodsThe clinical data of DTC patients who underwent (selective) cervical lateral lymph node dissection at the 900th Hospital of the Joint Logistics Support Force from February 1, 2021 to November 30, 2023 were retrospectively analyzed. The significance level (α) was set as 0.05. ResultsAccording to the inclusion and exclusion criteria, a total of 155 patients with 179 lymph nodes were included, among which 49 lymph nodes were not metastatic and 130 were metastatic. The results of the integral patients showed that the area under the receiver operating characteristic curve (AUC) of FNA-Tg for distinguishing cervical LLNM in the patients with DTC was superior to that of fine-needle aspiration cytology (FNAC). The AUCs (95% confidence intervals) were 0.973 (0.950, 0.995) and 0.778 (0.708, 0.849) respectively, P<0.05, and the AUC (95% confidence interval) of the combination of the two was higher [0.978 (0.959, 0.997)]. The optimal diagnostic threshold of FNA-Tg was determined to be 16.45 μg/L or FNA-Tg/serum thyroglobulin (sTg) was 1.02. After stratification based on the size of the lymph nodes, a paired analysis of the two methods (FNA-Tg and FNAC) showed that the diagnostic efficiency of FNA-Tg was significantly higher than that of FNAC only when the short diameter of the lymph node was ≤0.8 cm [0.955 (0.919, 0.992) vs. 0.718 (0.630, 0.806), P<0.001], and there was no additional benefit from the combination of the two [0.950 (0.912, 0.989)]. ConclusionsThe results of this study suggest that FNA-Tg shows a good diagnostic efficacy for cervical LLNM in patients with DTC, especially has an obvious advantage for small lymph nodes with a short-axis diameter of lymph node ≤0.8 cm. Its optimal diagnostic threshold is 16.45 μg/L or FNA-Tg/sTG is 1.02.
ObjectiveTo explore the significance of thyroglobulin in the evaluation of lymph node metastasis during the treatment and follow-up of differentiated thyroid carcinoma.MethodThe literatures about thyroid globulin evaluation of lymph node metastasis of differentiated thyroid carcinoma were collected through online database and summarized.ResultsThe determination of thyroglobulin played an important role in the perioperative evaluation of lymph node metastasis in patients with differentiated thyroid carcinoma, the guidance of postoperative radiotherapy for metastasis, and the monitoring of recurrence and metastasis, and thyroglobulin combined with imaging examination could improve its evaluation efficiency.ConclusionsThyroglobulin is an important marker for the evaluation of lymph node metastasis in the treatment and follow-up of differentiated thyroid carcinoma. Combination between thyroglobulin and imaging examination or other laboratory indicators to comprehensively explore its diagnostic threshold is a new idea, that can improve its value in the evaluation of lymph node metastasis.
ObjectiveTo summarize the characteristics of cervical lymph node metastasis (LNM) in the papillary thyroid carcinoma (PTC) coexisting with Hashimoto thyroiditis (HT). MethodThe literatures related to cervical LNM of PTC coexisting with HT in recent years were collected and summarized. ResultsCompared with the PTC patients without HT, the more enlarged lymph nodes could be detected, and the cervival central LNM rate was lower, but there was still controversy about cervival lateral LNM in the patients with PTC coexisting with HT. The male, young, large tumor diameter, extraglandular invasion, multifocal cancer, BRAF gene mutation, and higher thyroid peroxidase antibody and thyroglobulin antibody levels, as well as the ultrasound features such as thyroid nodule aspect ratio >1, extremely low echo, calcification, and lymph node calcification, liquefaction, and disappearance of hilar lymph nodes could be used to evaluate the risk factors of cervical LNM for the patients with PTC coexisting with HT. ConclusionsFrom the results of this review, it is suggests that the rate of central LNM is lower in patients with PTC coexisting with HT, but the status of LNM in the cervical lateral region remains to be explored. The relevant risk factors in combination with ultrasonic characteristics could help evaluate cervical lymph node status, could provide basis for early detection of metastatic lymph nodes and the formulation of individualized surgical plans, and improve the prognosis of patients.
ObjectiveTo investigate relationship of long non-coding RNA FoxP4-AS1 expression with lymph node metastasis (LNM) of papillary thyroid carcinoma (PTC).MethodsReal time fluorescent quantitative polymerase chain reaction was used to detect the expression level of FoxP4-AS1 in 52 cases of PTC tissues and corresponding adjacent tissues, PTC cells (TPC-1, B-CPAP, K1), and normal thyroid follicular epithelial cells (Nthy-ori3-1). Univariate and multivariate analysis were used to identify the influencing factors of LNM in PTC. Receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of influencing factors of LNM in PTC.ResultsThe expression level of FoxP4-AS1 in the PTC tissues was significantly decreased as compared with the corresponding adjacent tissues (t=7.898, P<0.001), which in the different cells had statistical difference (F=29.866, P<0.001): expression levels in the TPC-1 and K1 cells were lower than Nthy-ori3-1 cells (P<0.05) and in the B-CPAP cells and Nthy-ori3-1 cells had no statistical difference (P>0.05) by multiple comparisons. Univariate analysis showed that the extraglandular invasion (χ2=4.205, P=0.040)and low expression of FoxP4-AS1 (χ2=7.144, P=0.008) were the influencing factors of LNM in PTC. Binary logistic regression analysis showed that extraglandular invasion [OR=9.455, 95%CI (1.120, 79.835), P=0.039] and low expression ofFoxP4-AS1[OR=5.437, 95%CI (1.488, 19.873), P=0.010] were risk factors for LNM of PTC. The area under the ROC curve ofFoxP4-AS1,extraglandular invasion alone, and combination of the two were 0.679, 0.656, and 0.785, respectively.ConclusionsFoxP4-AS1 is down-regulated in PTC. Low level of FoxP4-AS1 is a risk factor for LNM of PTC. Combined detection of expression level of FoxP4-AS1 and extraglandular invasion has a high predictive value for LNM of PTC.
ObjectiveThe study was aimed to further explore risk factors of axillary lymph node metastasis in Luminal A breast cancer and revealed high-risk clinicopathological features.MethodsFrom January 2017 to December 2019, the clinical and pathological data of 237 Luminal A breast cancer patients diagnosed in our hospital were retrospectively analyzed. For the identification of related risk factors of axillary lymph node metastasis in Luminal A breast cancer, χ2 test for univariate analysis and logistic regression model for multivariate analysis were conducted.ResultsAmong the 237 patients with Luminal A breast cancer, 115 patients were associated with lymph node metastasis (48.5%). The univariate analysis indicated that multifocal tumor (P=0.001), p53 mutation (P=0.012), and lymphovascular invasion (P=0.022) were correlated with axillary lymph node metastasis in the Luminal A breast cancer. The multivariate analysis identically showed that multifocal tumor (P=0.009), p53 mutation (P=0.019), and lymphovascular invasion (P=0.021) were independent risk factors of axillary lymph node metastasis.ConclusionMultifocal breast cancer, p53 mutation, and lymphovascular invasion are risk factors of axillary lymph node metastasis in Luminal A breast cancer.