AutoLNMNet: Automated Network for Estimating Lymph-Node Metastasis in EGC Using a Pyramid Vision Transformer and Data Derived From Multiphoton Microscopy.

Lymph-node status is important in decision-making during early gastric cancer (EGC) treatment. Currently, endoscopic submucosal dissection is the mainstream treatment for EGC. However, it is challenging for even experienced endoscopists to accurately diagnose and treat EGC. Multiphoton microscopy can extract the morphological features of collagen fibers from tissues. The characteristics of collagen fibers can be used to assess the lymph-node metastasis status in patients with EGC. First, we compared the accuracy of four deep learning models (VGG16, ResNet34, MobileNetV2, and PVTv2) in training preprocessed images and test datasets. Next, we integrated the features of the best-performing model, which was PVTv2, with manual and clinical features to develop a novel model called AutoLNMNet. The prediction accuracy of AutoLNMNet for the no metastasis (Ly0) and metastasis in lymph nodes (Ly1) stages reached 0.92, which was 0.3% higher than that of PVTv2. The receiver operating characteristics of AutoLNMNet in quantifying Ly0 and Ly1 stages were 0.97 and 0.97, respectively. Therefore, AutoLNMNet is highly reliable and accurate in detecting lymph-node metastasis, providing an important tool for the early diagnosis and treatment of EGC.

The role of TMEM163 protein in thyroid microcarcinoma: expression pattern and clinical implications.

BACKGROUND: TMEM163 protein is a new zinc ion transporter whose regulatory role in tumors has yet to be discovered. This study aimed to analyze the expression pattern of TMEM163 in thyroid microcarcinoma and explore its potential molecular function and clinical value. METHODS: Differential analysis was performed to detect the expression pattern of TMEM163 in papillary thyroid carcinoma. Functional analysis was performed to explore the biological function of TMEM163. Logistic regression was performed to detect the relationship between TMEM163 expression and lymph node metastasis. A correlation analysis of the relationship between 163 and anoikis was performed. qRT-PCR and western blot were used to verify its expression in PTC tissues. The effect of TMEM163 on PTC cell function was studied by a series of in vitro cell experiments. The prediction model of lymph node metastasis was constructed based on the ultrasonic characteristics of PTMC and the expression of TMEM163. RESULTS: The expression of TMEM163 in PTC tissue was higher than in normal thyroid tissue. In vitro, silencing TMEM163 inhibited PTC cells' proliferation, migration, and invasion, while TMEM163 overexpression exhibited the opposite effect. In addition, down-regulating its expression can inhibit the cell cycle process and induce the apoptosis of tumor cells. In pathway analysis, we demonstrated that knockout of TMEM163 significantly increased p21 expression and inhibited BCL-2 expression. Logistic regression results suggested that the expression of TMEM163 combined with PTMC ultrasound characteristics helped predict lymph node metastasis. CONCLUSION: TMEM163 is highly expressed in PTC, which may be involved in the mechanism of anoikis, and can be used as a molecular marker to predict PTMC lymph node metastasis.

A Novel Ultrasound-Based Radiomics Model for the Preoperative Prediction of Lymph Node Metastasis in Cervical Cancer.

OBJECTIVE: The purpose of this retrospective study was to establish a combined model based on ultrasound (US)-radiomics and clinical factors to predict preoperative lymph node metastasis (LNM) in cervical cancer (CC) patients non-invasively. METHODS: A total of 131 CC patients who had cervical lesions found by transvaginal sonography (TVS) from the First Affiliated Hospital of Anhui Medical University (Hefei, China) were retrospectively analyzed. The clinical independent predictors were selected using univariate and multivariate logistic regression analysis. US-radiomics features were extracted from US images; after selecting the most significant features by univariate analysis, Spearman's correlation analysis, and the least absolute shrinkage and selection operator (LASSO) algorithm; four machine-learning classification algorithms were used to build the US-radiomics model. Fivefold cross-validation was then used to test the performance of the model and compare the ability of the clinical, US-radiomics and combined models to predict LNM in CC patients. RESULTS: Red blood cell, platelet and squamous cell carcinoma-associated antigen were independent clinical predictors of LNM (+) in CC patients. eXtreme Gradient Boosting performed the best among the four machine-learning classification algorithms. Fivefold cross-validation confirmed that eXtreme Gradient Boosting indeed performs the best, with average area under the curve values in the training and validation sets of 0.897 and 0.898. In the three prediction models, both the US-radiomics model and the combined model showed good predictive efficacy, with average area under the curve values in the training and validation sets of 0.897, 0.898 and 0.912, 0.905, respectively. CONCLUSION: US-radiomics features combined with clinical factors can preoperatively predict LNM in CC patients non-invasively.

Lymph node evaluation and nodal metastasis prediction in epithelial ovarian cancers: A retrospective study.

Objective: To identify consensus regarding lymph node (LN) evaluation in epithelial ovarian cancer (EOC). The objective of the present study was to evaluate surgico-pathological findings, LN involvement, and the prediction of LN metastasis via preoperative imaging and intraoperative assessment in women with EOC. Materials and Methods: Women with EOC who underwent cytoreductive surgery (CRS) between Jan 2019 to June 2022 were included. The distribution of histology, stage, and LN metastasis was studied. The predictive value of serum cancer antigen (CA)-125, instead of and radiologically and surgically enlarged LNs with final LN histopathology was studied. Results: A total of 96 women with EOCs underwent CRS. Fifty women (52%) underwent primary CRS and 46 women (48%) underwent interval CRS. Seventy-five women (78.13%) with EOC underwent pelvic and/or para-aortic lymphadenectomy, out of which 23 (30.67%) were histologically positive. High-grade serous carcinoma was the commonest (n=55, 73.33%) histology. The majority of women, 56 (74.67%) were stage III or IV at presentation. Complete cytoreduction was achieved in 59 (78.66%) patients. The receiver operating characteristics curve showed a cutoff for CA-125 of 1360 U/mL (area under the curve 0.702, p=0.002) for LN metastases. Both radiologically and surgically enlarged LNs significantly predicted LN metastasis on histopathology (p=0.02 and 0.006 respectively). The combined sensitivity, specificity, positive predictive value and negative predictive value of both contrast enhanced computed tomography (CECT) and surgically enlarged LNs were 78.26%, 57.69%, 45%, and 85.71%, respectively. Conclusion: Serous histology, high-grade tumors, highCA-125 levels, and suspicious LNs on CECT or during surgery were significantly associated with LN metastasis. However, considering the false-negative rate of 21.74%, the combination of radiologically and surgically enlarged LNs cannot be used as the sole surrogate marker for lymphadenectomy.

Prediction of Lymph Node Metastasis in Endometrial Cancer Based on Color Doppler Ultrasound Radiomics.

RATIONALE AND OBJECTIVES: To construct a model using radiomics features based on ultrasound images and evaluate the feasibility of noninvasive assessment of lymph node status in endometrial cancer (EC) patients. METHODS: In this multicenter retrospective study, a total of 186 EC patients who underwent hysterectomy and lymph node dissection were included, Pathology confirmed the presence or absence of lymph node metastasis (LNM). The study encompassed patients from seven centers, spanning from September 2018 to November 2023, with 93 patients in each group (with or without LNM). Extracted ultrasound radiomics features from transvaginal ultrasound images, used five machine learning (ML) algorithms to establish US radiomics models, screened clinical features through univariate and multivariate logistic regression to establish a clinical model, and combined clinical and radiomics features to establish a nomogram model. The diagnostic ability of the three models for LNM with EC was compared, and the diagnostic performance and accuracy of the three models were evaluated using receiver operating characteristic curve analysis. RESULTS: Among the five ML models, the XGBoost model performed the best, with AUC values of 0.900 (95% CI, 0.847-0.950) and 0.865 (95% CI, 0.763-0.950) for the training and testing sets, respectively. In the final model, the nomogram based on clinical features and the ultrasound radiomics showed good resolution, with AUC values of 0.919 (95% CI, 0.874-0.964) and 0.884 (0.801-0.967) in the training and testing sets, respectively. The decision curve analysis verified the clinical practicality of the nomogram. CONCLUSION: The ML model based on ultrasound radiomics has potential value in the noninvasive differential diagnosis of LNM in patients with EC. The nomogram constructed by combining ultrasound radiomics and clinical features can provide clinical doctors with more comprehensive and personalized image information, which is highly important for selecting treatment strategies.

Concurrent Oral Squamous Cell Carcinoma and Incidental Papillary Thyroid Carcinoma Metastasis in Cervical Lymph Nodes: A Case Report.

Oral squamous cell carcinoma (OSCC) is the most common of all head and neck cancers accounting for 90% of all oral malignancies. It is commonly associated with the use of tobacco smoking or quid form. The incidence of oral carcinoma is higher in males than females with a ratio of 1.4:1, though females commonly adopt tobacco quid chewing habit. OSCC metastasis to cervical lymph node at the rate of 20-42.6% according to studies reported so far. Papillary thyroid carcinoma (PTC) occurs with a higher incidence in females than males with metastasis into cervical lymph nodes though the primary lesion frequently goes undetected. Concurrent metastasis of OSCC and PTC to the cervical lymph node during neck dissection has been reported rarely in the literature. This case report presents a 48-year-old female with lymph node metastasis of carcinoma of the right mandibular posterior alveolar region concurrently with metastasis of PTC (with primary lesion clinically undetected) encountered during cervical lymph node examination.

New histological risk grading system for prediction of lymph node metastasis in patients with penile cancer.

Inguinal lymph node surgery is a standard treatment for penile cancer patients with intermediate or high risk for lymph node metastasis (LNM) according to European Association of Urology (EAU) risk grading. We are proposing a more objective histological prognostic grading system for inguinal LNM in these patients. We assessed worst pattern of invasion, lymphocytic host response, lymphovascular invasion, and perineural invasion in a population-based cohort of 306 penile cancer patients. Patients were classified into low, intermediate, and high risk for inguinal LNM. There was a significant association both between risk groups and pT stage (p < 0.001) and between risk groups and LNM. Univariate logistic regression showed 25.43 times higher odds of LNM for patients in the intermediate risk group compared with the low risk group (odds ratio (OR) 25.43; 95% confidence interval (CI): 5.94-108.97) and a 177.13 times higher odds in the high risk group compared to the low risk group (OR 177.13; 95% CI: 40.09-782.51). When comparing our histological risk grading with the EAU grading, we found a higher sensitivity, of 51.28% (95% CI: 45.68-56.88) versus 37.09% (95% CI: 31.68-42.50), as well as a higher area under the curve (0.86; 95% CI: 0.81-0.89; versus 0.65; 95% CI: 0.58-0.71) with our grading system. While our grading classified 111 patients as low risk, only 31 were considered low risk for LNM according to the EAU risk classification. The new histological risk grading system shows a higher sensitivity and includes a higher number of patients in the low risk group in whom lymph node surgery could be avoided, reducing morbidity and costs.

Advanced diffusion-weighted MRI models for preoperative prediction of lymph node metastasis in resectable gastric cancer.

OBJECTIVE: To investigate the potential of six advanced diffusion-weighted imaging (DWI) models for preoperative prediction of lymph node metastasis (LNM) in resectable gastric cancer (GC). METHODS: Between Nov 2022 and Nov 2023, standard MRI scans were prospectively performed in consecutive patients with endoscopic pathology-confirmed gastric adenocarcinoma who were referred for direct radical gastrectomy. Six DWI models, including fractional order calculus (FROC), continuous-time random walk (CTRW), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), the mono-exponential model (MEM) and the stretched exponential model (SEM) were computed. Surgical pathologic diagnosis of LNM was the reference standard, and patients were classified into LNM-positive or LNM-negative groups accordingly. The morphological features and quantitative parameters of the DWI models in different LNM categories were analyzed and compared. Multivariable logistic regression was used to screen significant predictors. Receiver-operating characteristic curves and the area under the curve (AUC) were plotted to evaluate the performances, the Delong test was performed to compare the AUCs. RESULTS: In the LNM-positive group, tumor thickness and kurtosis (DKI_K) were significantly higher, while anomalous diffusion coefficient (CTRW_D), diffusivity (DKI_D), diffusion coefficient (FROC_D), pseudodiffusion coefficient (IVIM_D*), perfusion fraction (IVIM_f), and ADC were lower compared to the LNM-negative group. Clinical tumor staging (cT) and CTRW_D were independent predictors. Their combination demonstrated a superior AUC of 0.930, significantly higher than that of individual parameters. CONCLUSIONS: Tumor thickness, DKI_K, CTRW_D, DKI_D, FROC_D, IVIM_D*, IVIM_f and ADC were associated with LNM status. The combination of independent predictors of cT and CTRW_D further enhanced the performance.

Isolated Inguinal Lymph Node Metastasis from Colon Cancer: A Case Report.

Lymphatic spread of colon cancer usually occurs via mesenteric vessels (superior and inferior mesenteric vessels), but inguinal lymph node (LN) metastasis from colon cancer is extremely rare with only few reported cases in the literature. A case of a 35-year-old female patient with a history of sigmoid cancer underwent sigmoidectomy and left salpingo-oopherectomy in 2016 and received adjuvant chemotherapy then presented in 2023 with metastatic left inguinal LNs and underwent left inguinal LN dissection. We reported a rare case of isolated metachronous inguinal lymph node metastasis from colon cancer with a round ligament route of spread as the hypothesized mechanism. Surgical resection with inguinal LN dissection is the preferred treatment option for isolated inguinal lymph node metastasis from colon cancer followed by adjuvant chemotherapy, yet long term follow-up data is needed to support this strategy.

Dual-energy computed tomography for predicting cervical lymph node metastasis in laryngeal squamous cell carcinoma.

Rationale and objectives: We constructed a dual-energy computed tomography (DECT)-based model to assess cervical lymph node metastasis (LNM) in patients with laryngeal squamous cell carcinoma (LSCC). Materials and methods: We retrospectively analysed 164 patients with LSCC who underwent preoperative DECT from May 2019 to May 2023. The patients were randomly divided into training (n = 115) and validation (n = 49) cohorts. Quantitative DECT parameters of the primary tumours and their clinical characteristics were collected. A logistic regression model was used to determine independent predictors of LNM, and a nomogram was constructed along with a corresponding online model. Model performance was assessed using the area under the curve (AUC) and the calibration curve, and the clinical value was evaluated using decision curve analysis (DCA). Results: In total, 64/164 (39.0 %) patients with LSCC had cervical LNM. Independent predictors of LNM included normalized iodine concentration in the arterial phase (odds ratio [OR]: 8.332, 95 % confidence interval [CI]: 2.813-24.678, P < 0.001), normalized effective atomic number in the arterial phase (OR: 5.518, 95 % CI: 1.095-27.818, P = 0.002), clinical T3-4 stage (OR: 5.684, 95 % CI: 1.701-18.989, P = 0.005), and poor histological grade (OR: 5.011, 95 % CI: 1.003-25.026, P = 0.049). These predictors were incorporated into the DECT-based nomogram and the corresponding online model, showing good calibration and favourable performance (training AUC: 0.910, validation AUC: 0.918). The DCA indicated a significant clinical benefit of the nomogram for estimating LNM. Conclusions: DECT parameters may be useful independent predictors of LNM in patients with LSCC, and a DECT-based nomogram may be helpful in clinical decision-making.

Investigating the Involvement of Mediastinal Lymph Nodes in Patients with Papillary Thyroid Carcinoma.

Background: Papillary thyroid carcinoma (PTC) is also the most common endocrine malignancy. In the present study, we aimed to evaluate the metastasis pattern of upper mediastinal lymph node involvement in patients with PTC. Materials and Methods: This is a descriptive cross-sectional study that was performed in 2020 in Isfahan, Iran, on 73 patients with PTC who were candidates for total thyroidectomy. Demographic data including age and gender were collected. The frequency distribution of upper mediastinal lymph node involvements and their relationships with mass size, gender, and age, location of tumor in the thyroid gland and involvement of lateral lymph nodes in the neck were evaluated. Results: The mean mass size was 17.27 mm. The most involved thyroid lobe in patients with upper mediastinal lymph node involvement was the right lobe (16.5%). In terms of mediastinal lymph node involvement, there were no significant relationships between the two sexes (P = 0.161), primary mass size (P = 0.151), and thyroid mass location (P = 0.739) with mediastinal lymph node involvement. There was a significant relationship between lateral lymph node involvement of the neck (P = 0.007) and age groups (P = 0.042) with involvement of the upper mediastinal lymph nodes. Based on our results, the upper mediastinal lymph node involvement was more frequent among patients under 40 years of age. Conclusion: Upper mediastinal lymph node metastasis in PTC was significantly more frequent in cases with younger ages (lower than 40 years) and involvements of lateral lymph nodes in the neck.

Semaphorin 3F (SEMA3F) influences patient survival in esophageal adenocarcinoma.

In esophageal adenocarcinoma, the presence of lymph node metastases predicts patients' survival even after curative resection. Currently, there is no highly accurate marker for detecting the presence of lymph node metastasis. The SEMA3F/NRP2 axis was initially characterized in axon guidance and recent evidence has revealed its significant involvement in lymphangiogenesis, angiogenesis, and carcinogenesis. Hence, the objective of this study was to elucidate the roles of SEMA3F and its receptor NRP2 in esophageal adenocarcinoma. We conducted an immunohistochemical evaluation of SEMA3F and NRP2 protein expression in 776 patients with esophageal adenocarcinoma who underwent Ivor-Lewis esophagectomy at the University Hospital of Cologne. Total and positive cancer cell counts were digitally analyzed using QuPath and verified by experienced pathologists to ensure accuracy. Positive expression was determined as a cell percentage exceeding the 50th percentile threshold. In our cohort, patients exhibiting SEMA3F positive expression experience significantly lower pT- and pN-stages. In contrast, positive NRP2 expression is associated with the presence of lymph node metastases. Survival analyses showed that the expression status of NRP2 had no impact on patient survival. However, SEMA3F positivity was associated with a favorable patient survival outcome (median OS: 38.9 vs. 26.5 months). Furthermore, SEMA3F could be confirmed as an independent factor for better patient survival in patients with early tumor stage (pT1N0-3: HR = 0.505, p = 0.014, pT1-4N0: HR = 0.664, p = 0.024, pT1N0: HR = 0.483, p = 0.040). In summary, SEMA3F emerges as an independent predictor for a favorable prognosis in patients with early-stage esophageal adenocarcinoma. Additionally, NRP2 expression is linked to a higher risk of lymph node metastases occurrence. We hypothesize that low SEMA3F expression could identify patients with early-stage tumors who might benefit from more aggressive treatment options or intensified follow-up. Furthermore, SEMA3F and its associated pathways should be explored as potential tumor-suppressing agents.

Individualized prediction of non-sentinel lymph node metastasis in Chinese breast cancer patients with ≥ 3 positive sentinel lymph nodes based on machine-learning algorithms.

BACKGROUND: Axillary lymph node dissection (ALND) is a standard procedure for early-stage breast cancer (BC) patients with three or more positive sentinel lymph nodes (SLNs). However, ALND can lead to significant postoperative complications without always providing additional clinical benefits. This study aims to develop machine-learning (ML) models to predict non-sentinel lymph node (non-SLN) metastasis in Chinese BC patients with three or more positive SLNs, potentially allowing the omission of ALND. METHODS: Data from 2217 BC patients who underwent SLN biopsy at Shantou University Medical College were analyzed, with 634 having positive SLNs. Patients were categorized into those with ≤ 2 positive SLNs and those with ≥ 3 positive SLNs. We applied nine ML algorithms to predict non-SLN metastasis. Model performance was evaluated using ROC curves, precision-recall curves, and calibration curves. Decision Curve Analysis (DCA) assessed the clinical utility of the models. RESULTS: The RF model showed superior predictive performance, achieving an AUC of 0.987 in the training set and 0.828 in the validation set. Key predictive features included size of positive SLNs, tumor size, number of SLNs, and ER status. In external validation, the RF model achieved an AUC of 0.870, demonstrating robust predictive capabilities. CONCLUSION: The developed RF model accurately predicts non-SLN metastasis in BC patients with ≥ 3 positive SLNs, suggesting that ALND might be avoided in selected patients by applying additional axillary radiotherapy. This approach could reduce the incidence of postoperative complications and improve patient quality of life. Further validation in prospective clinical trials is warranted.

Can negative axillary ultrasound reliably predict pathologically negative axillary lymph node status in breast cancer patients with cT ≤3 cm, cN0, and HER2-positive?-a retrospective, single-institution study.

Background: Breast cancer (BC) is the leading cancer in women globally, with human epidermal growth factor receptor 2 (HER2)-positive subtype accounting for 15-20% of cases and exhibiting aggressive behavior. The standard of care for operable BC has evolved to include neoadjuvant systemic therapy, which can guide treatment decisions and improve outcomes, particularly in HER2+ BC. This study aims to investigate whether axillary ultrasound has a good negative predictive value (NPV) for early HER2 BC patients and to identify clinicopathological factors that can impact the axillary lymph node metastasis. Methods: This retrospective, single-center study evaluated the medical records of 135 patients with HER2+ BC, cT ≤3 cm, and clinically negative axillary lymph nodes from 2018 to 2020. The study aimed to determine the NPV of axillary ultrasound for pathologically negative axillary lymph node status and to identify factors associated with axillary lymph node metastasis. Results: The NPV of axillary ultrasound was 78.5%, increasing to 89.6% and 93.3% when considering 0-1 and 0-2 metastatic lymph nodes, respectively. Lymphovascular invasion (LVI) was significantly associated with axillary lymph node metastasis, with a 2.2-fold increased risk. Conclusions: Axillary ultrasound shows good predictive value for axillary lymph node negativity in HER2+ BC patients with small tumors. However, the presence of LVI increases the risk of metastasis, suggesting a need for neoadjuvant chemotherapy. These findings contribute to personalized treatment strategies for early HER2+ BC, emphasizing the role of axillary ultrasound in clinical decision-making.

Correlation between body mass index and lymph node metastasis in papillary thyroid carcinoma: a retrospective clinical study.

Background: Papillary thyroid carcinoma (PTC) is the most common malignant tumor of the thyroid gland, with lymph node metastasis significantly affecting patient prognosis. In recent years, body mass index (BMI) has garnered widespread attention as a potential factor influencing cancer development. This study aimed to explore the relationship between BMI and lymph node metastasis in patients with PTC, particularly focusing on the risk of metastasis in the lateral and central neck compartments. Methods: This retrospective study comprised 993 patients who underwent surgical treatment and were pathologically confirmed to have PTC. Patient BMI data were collected, and their relationship with lymph node metastasis in the lateral and central neck compartments was analyzed. Logistic regression models were employed to analyze the correlation between BMI and lymph node metastasis. Results: The study found a significant correlation between BMI and the risk of lateral neck lymph node metastasis in patients (P=0.008), along with a corresponding increase in extrathyroidal extension risk (P=0.02). While elevated BMI did not directly increase the risk of central compartment metastasis, a significant increase was observed in the number of central compartment lymph node metastases (P=0.009) and their proportion among the total central compartment lymph nodes (P=0.01) in patients with higher BMI. Additionally, multifocality, age, and gender were identified as risk factors for lateral neck lymph node metastasis, whereas Hashimoto's thyroiditis did not exhibit a similar impact. Conclusions: This study highlights that higher BMI is an important risk factor for lateral neck lymph node metastasis in patients with PTC and may exacerbate the severity of central compartment lymph node metastasis. These findings underscore the importance of considering BMI in the management of thyroid cancer and provide data support for future prevention and intervention strategies.

Omission of axillary surgery in cN0, postmenopausal ER-positive/HER2-negative breast cancer patients undergoing breast-conserving treatment.

Background: Previous clinical trials have diminished the significance of lymph node (LN) metastasis and axillary surgery in breast cancer, particularly in cN0, postmenopausal estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative patients undergoing breast-conserving treatment (BCT). We assessed the replacement of axillary surgery with preoperative imaging modalities by analyzing the proportion of high nodal burden (HNB) patients with ≥3 LN metastases in these patients. Methods: We retrospectively identified 333 cN0, postmenopausal ER-positive/HER2-negative breast cancer patients who underwent BCT in two hospitals between January 2003 and December 2017. The proportion of LN metastasis patients and the number of metastatic LN were investigated. Risk factors of LN metastasis were analyzed and recurrence-free survival (RFS) was compared. Results: Axillary surgery confirmed LN metastasis in 81 (24.3%) of the cN0 patients. The clinical tumor size (cT) and age were factors associated with LN metastasis [cT: odds ratio (OR), 2.92, 95% confidence interval (CI): 1.69-5.05, P<0.001; age: OR, 0.33, 95% CI: 0.11-0.99, P=0.048]. However, HNB patients with ≥3 LN metastases were 15 (4.5%) of all the patients. There was statistically significant difference in the incidence of HNB between patients with cT1 tumors (3.6%) and those with cT2 tumors (7.4%) (P<0.001). Conclusions: In cN0, postmenopausal ER-positive/HER2-negative patients who underwent BCT, patients with cT1 tumors had lower rate of LN metastasis, and there were fewer instances of HNB. Therefore, in these patients, omission of axillary surgery including SLNB can be carefully considered.

Patterns of regional lymph node metastasis predict postoperative overall survival and disease-free survival in locally advanced esophageal squamous cell carcinoma.

Background: Lymph nodal characteristics are highly significant in predicting the survival of patients with esophageal squamous cell carcinoma (ESCC). However, there is currently a scarcity of studies examining their role in locally advanced ESCC. In the present study, we attempted to depict the patterns of regional lymph node metastasis and investigate their predictive potential in locally advanced ESCC. Methods: Patients with locally advanced ESCC underwent esophagectomy at the Department of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College were included. Kaplan-Meier curve was used to compare the survival differences between groups. Cox regression was constructed to screen the independent risk factors. Results: A total of 439 patients were included. We identified 10% as the optimal cutoff value for positive lymph node ratio (PLNR) with X-tile software. Statistically significant differences were found in both overall survival (OS, P<0.001) and disease-free survival (DFS, P<0.001) among different PLNR groups. PLNR [hazard ratio (HR): 1.85, P<0.001] and metastatic lymph nodes along the left gastric artery (HR: 1.63, P=0.02) were the independent prognostic factors for OS. While PLNR (HR: 1.77, P<0.001) and metastatic total main bronchus lymph nodes (HR: 2.78, P=0.047) were the independent prognostic factors for DFS. Conclusions: We discovered that higher PLNR is associated with poorer OS and DFS of locally advanced ESCC. The lymph nodes along the left gastric artery and the total main bronchus lymph nodes were independent prognosticators for OS and DFS, respectively.

Netrin-1-CD146 and netrin-1-S100A9 are associated with early stage of lymph node metastasis in colorectal cancer.

BACKGROUND: The netrin-1/CD146 pathway regulates colorectal cancer (CRC) liver metastasis, angiogenesis, and vascular development. However, few investigations have yet examined the biological function of netrin-1/CD146 complex in CRC. In this work, we investigated the relationship between the netrin-1/CD146 axis and S100 proteins in sentinel lymph node, and revealed a possible new clue for vascular metastasis of CRC. METHODS: The expression levels of netrin-1 and CD146 proteins in CRC, as well as S100A8 and S100A9 proteins in the sentinel lymph nodes were determined by immunohistochemistry. Using GEPIA and UALCAN, we analyzed netrin-1 and CD146 gene expression in CRC, their association with CRC stage, and their expression levels and prognosis in CRC patients. RESULTS: The expression level of netrin-1 in N1a+1b (CRC lymphatic metastasis groups, exculded N1c) was positively increased with N0 (p = 0.012). The level of netrin-1 protein was positively correlated with CD146 protein (p < 0.05). The level of S100A9 protein was positively correlated with CD146 protein (r = 0.492, p = 0.007). Moreover, netrin-1 expression was obviously correlated with S100A9 expression in the N1 stage (r = 0.867, p = 0.000). CD146 level was correlated with S100A9 level in the N2 stage (r = 0.731, p = 0.039). CD146 mRNA expression was higher in normal colorectal tissues than in CRC (p < 0.05). Netrin-1 and CD146 expression were not significantly associated with the tumor stages and prognosis of patients with CRC (p > 0.05). CONCLUSIONS: The netrin-1/CD146 and netrin-1/S100A9 axis in CRC tissues might related with early stage of lymph node metastasis, thus providing potential novel channels for blocking lymphatic metastasis and guiding biomarker discovery in CRC patients.

Primary Neuroendocrine Carcinoma of the Ileum With Markedly Elevated Carcinoembryonic Antigen (CEA) Levels: A Case Report.

Neuroendocrine carcinomas (NECs) are rare and highly malignant tumors with a generally poor prognosis. Carcinoembryonic antigen (CEA) is often associated with adenocarcinoma, but its significant elevation in NEC cases is unusual. A 69-year-old man was admitted to our hospital in January 2016 due to syncope induced by anemia. The patient had a hemoglobin level of 8.0 g/dL and an ileocecal mass causing small bowel obstruction on computed tomography. His CEA level was markedly elevated at 3625.4 ng/mL. A colonoscopy revealed a neoplastic lesion in the terminal ileum, leading to an emergency ileocecal resection. Pathology confirmed a NEC, positive for synaptophysin and CEA, with a Ki-67 index of 30%. The patient was diagnosed with stage IIIb NEC (pT3N2M0). A postoperative increase in CEA to 4124.6 ng/mL and metastases in the right lung and multiple lymph nodes were detected. Initial chemotherapy with irinotecan, cisplatin (IP), and octreotide acetate proved ineffective. Subsequent octreoscans showed disease progression. Switching to everolimus as second-line therapy temporarily decreased CEA levels and tumor size, but the disease progressed with cervical lymph node involvement. The patient underwent palliative radiotherapy but succumbed to disease progression in May 2018, with a final CEA level of 36,643 ng/mL. Necropsy of the cervical lymph nodes was consistent with the original surgical findings. This case highlights the aggressive nature and challenging management of NEC with significantly elevated CEA levels.

Adrenal ganglioneuroma with nodal metastases on 123I-MIBG SPECT/CT and 18F-FDG PET/CT.

Ganglioneuroma is a well-differentiated tumor originating from neural crest cells of the sympathetic nervous system. Although benign, a few cases have been reported that ganglioneuroma can metastasize to other sites. We report a case of adrenal ganglioneuroma with para-aortic nodal metastases with low FDG and MIBG uptake. In order to avoid unnecessary wide excision or aggressive medication, it is important to consider the possibility of ganglioneuroma preoperatively even if with metastases.