Analysis of factors related to non-sentinel lymph node metastasis in 296 sentinel lymph node-positive Chinese breast cancer patients

Objective: Axillary lymph node dissection(ALND) may be unnecessary in 20%–60% of breast cancer patients with sentinel lymph node(NSLN) metastasis. The aim of the present study was to review the medical records of Chinese patients with early-stage breast cancer and positive NSLN metastasis to identify clinicopathological characteristics as risk factors for non-NSLN metastasis.Methods: The medical records of 2008 early-stage breast cancer patients who received intraoperative sentinel lymph node biopsy(SLNB) between 2006 and 2016 were retrospectively reviewed. These patients were clinically and radiologically lymph nodenegative and had no prior history of receiving neoadjuvant chemotherapy or endocrinotherapy. The clinicopathological characteristics of patients with positive NSLN metastasis who underwent ALND were investigated.Results: In the present study, 296 patients with positive NSLN metastases underwent ALND. Positive non-NSLN metastases were confirmed in 95 patients(32.1%). On univariate analysis, ≥ 3 positive NSLN metastases(P <0.01), NSLN macrometastases(P =0.023), and lymphovascular invasion(P = 0.04) were associated with non-NSLN metastasis(P <0.05). In multivariate analysis, the number of positive SLNs was the most significant predictor of non-SLN metastasis. For patients with 0, 1, 2, or 3 associated risk factors, the non-SLN metastatic rates were 11.5%, 22.5%, 35.2%, and 73.1%, respectively.Conclusions: The number of positive NSLNs, NSLN macrometastases, and lymphovascular invasion were correlated with nonSLN metastasis. The number of positive SLNs was an independent predictor for non-NSLN metastasis. When 2 or 3 risk factors were present in one patient, the probability of non-NSLN was higher than that in the American College of Surgeons Oncology Group Z0011 trial(27.3%); thus, avoiding ALND should be considered carefully.

Predicting preoperative lymph node metastasis in esophageal cancer:Advancement and challenges

Accurate preoperative prediction of lymph node metastasis is crucial for developing clinical management strategies for patients with esophageal cancer.In this letter,we present our insights and opinions on a new nomogram proposed by Xu et al.Although this research has great potential,there are still concerns re-garding the small sample size,limited consideration of biological complexity,subjective image segmentation,incomplete image feature extraction and statistical analyses.Furthermore,we discuss how to achieve more robust and accurate predictive performance in future research.

Fifty-five cases of hepatic alveolar echinococcosis combined with lymph node metastasis:A retrospective study

BACKGROUND Lymph node metastasis is a specific type of metastasis in hepatic alveolar echinococcosis(AE).Currently,there is a scarcity of describing the clinical characteristics and lymph node metastasis rules of patients with hepatic AE combined with lymph node metastasis and its mechanism and management are still controversial.Radical hepatectomy combined with regional lymph node dissection is a better treatment.AIM To analyse the clinical features of hepatic AE combined with lymph node metastasis to explore its treatment and efficacy.METHODS A total of 623 patients with hepatic AE admitted to the First Affiliated Hospital of Xinjiang Medical University from 1 January 2012 to 1 January 2022 were retrospectively analysed.Fifty-five patients with combined lymph node metastasis were analysed for their clinical data,diagnosis and treatment methods,follow-up efficacy,and characteristics of lymph node metastasis.Finally,we comparatively analysed the lymph node metastasis rates at different sites.Categorical variables are expressed as frequencies and percentages,and the analysis of difference was performed using theχ2 test.The Bonferroni method was used for pairwise comparisons when statistical differences existed between multiple categorical variables.RESULTS A lymph node metastasis rate of 8.8%(55/623)was reported in patients with hepatic AE,with a female predilection(69.1%)and a statistically significant sex difference(χ2=8.018,P=0.005).Of the 55 patients with lymph node metastasis,72.7%had a parasite lesion,neighbouring organ invasion,and metastasis stage of P3N1M0 and above,of which 67.3%,78.2%,and 34.5%of hepatic AE lesions invaded the bile ducts,blood vessels,and distant metastases,respectively.Detection rates of lymph node metastasis of 16.4%,21.7%,and 34.2%were reported for a preoperative abdominal ultrasound,magnetic resonance imaging,and computed tomography examinations.All patients were intraoperatively suspected with enlarged lymph nodes and underwent radical hepatectomy combined with regional lymph node dissection.After surgery,a routine pathological examination was conducted on the resected lymph nodes.A total of 106 positive lymph nodes were detected in six groups at various sites,including 51 single-group metastasis cases and four multi-group metastasis cases.When the metastasis rates at different sites were statistically analysed,we observed that the metastasis rate in the para-hepatoduodenal ligament lymph nodes was significantly higher than that of the other sites(χ^(2)=128.089,P=0.000<0.05).No statistical difference was observed in the metastasis rate between the five other groups.Clavien-Dindo grade IIIa complication occurred in 14 cases,which improved after administering symptomatic treatment.Additionally,lymph node dissection-related complications were not observed.Recurrence after 2 years was observed in one patient.CONCLUSION Lymph node metastasis is a rare form of metastasis in hepatic AE,which is more frequent in women.Parahepatoduodenal ligament lymph nodes are commonly observed.Radical hepatectomy combined with regional lymph node dissection is a safe,effective,and feasible treatment for liver AE combined with lymph node metastasis.

Histological Risk Factors for Lymph Node Metastasis in pT1 Colorectal Cancer:Does Submucosal Invasion Depth Really Matter?

Objective After endoscopic resection of colorectal cancer with submucosal invasion(pT1 CRC),additional surgical treatment is recommended if deep submucosal invasion(DSI)is present.This study aimed to further elucidate the risk factors for lymph node metastasis(LNM)in patients with pT1 CRC,especially the effect of DSI on LNM.Methods Patients with pT1 CRC who underwent lymph node dissection were selected.The Chi-square test and multivariate logistic regression were used to analyze the relationship between clinicopathological characteristics and LNM.The submucosal invasion depth(SID)was measured via 4 methods and analyzed with 3 cut-off values.Results Twenty-eight of the 239 patients presented with LNM(11.7%),and the independent risk factors for LNM included high histological grade(P=0.003),lymphovascular invasion(LVI)(P=0.004),intermediate to high budding(Bd 2/3)(P=0.008),and cancer gland rupture(CGR)(P=0.008).Moreover,the SID,width of submucosal invasion(WSI),and area of submucosal invasion(ASI)were not significantly different.When one,two,three or more risk factors were identified,the LNM rates were 1.1%(1/95),12.5%(7/56),and 48.8%(20/41),respectively.Conclusion Indicators such as the SID,WSI,and ASI are not risk factors for LNM and are subjective in their measurement,which renders them relatively inconvenient to apply in clinical practice.In contrast,histological grade,LVI,tumor budding and CGR are relatively straightforward to identify and have been demonstrated to be statistically significant.It would be prudent to focus on these histological factors rather than subjective measurements.

Deep learning-based automatic pipeline system for predicting lateral cervical lymph node metastasis in patients with papillary thyroid carcinoma using computed tomography:A multi-center study

Objective:The assessment of lateral lymph node metastasis(LLNM)in patients with papillary thyroid carcinoma(PTC)holds great significance.This study aims to develop and evaluate a deep learning-based automatic pipeline system(DLAPS)for diagnosing LLNM in PTC using computed tomography(CT).Methods:A total of 1,266 lateral lymph nodes(LLNs)from 519 PTC patients who underwent CT examinations from January 2019 to November 2022 were included and divided into training and validation set,internal test set,pooled external test set,and prospective test set.The DLAPS consists of an auto-segmentation network based on RefineNet model and a classification network based on ensemble model(ResNet,Xception,and DenseNet).The performance of the DLAPS was compared with that of manually segmented DL models,the clinical model,and Node Reporting and Data System(Node-RADS).The improvement of radiologists’diagnostic performance under the DLAPS-assisted strategy was explored.In addition,bulk RNA-sequencing was conducted based on 12 LLNs to reveal the underlying biological basis of the DLAPS.Results:The DLAPS yielded good performance with area under the receiver operating characteristic curve(AUC)of 0.872,0.910,and 0.822 in the internal,pooled external,and prospective test sets,respectively.The DLAPS significantly outperformed clinical models(AUC 0.731,P<0.001)and Node-RADS(AUC 0.602,P<0.001)in the internal test set.Moreover,the performance of the DLAPS was comparable to that of the manually segmented deep learning(DL)model with AUCs ranging 0.814−0.901 in three test sets.Furthermore,the DLAPSassisted strategy improved the performance of radiologists and enhanced inter-observer consistency.In clinical situations,the rate of unnecessary LLN dissection decreased from 33.33%to 7.32%.Furthermore,the DLAPS was associated with the cell-cell conjunction in the microenvironment.Conclusions:Using CT images from PTC patients,the DLAPS could effectively segment and classify LLNs non-invasively,and this system had a good generalization ability and clinical applicability.

Risk factors for lymph node metastasis in superficial esophageal squamous cell carcinoma

In this editorial,we comment on the article by Wang et al published in the recent issue of the World Journal of Gastroenterology in 2023.We focused on identifying risk factors for lymph node metastasis(LNM)in superficial esophageal squamous cell carcinoma(SESCC)patients and how to construct a simple and reliable clinical prediction model to assess the risk of LNM in SESCC patients,thereby helping to guide the selection of an appropriate treatment plan.The current standard treatment for SESCC is radical esophagectomy with lymph node dissection.However,esophagectomy is associated with considerable morbidity and mortality.Endoscopic resection(ER)offers a safer and less invasive alternative to surgical resection and can enable the patient's quality of life to be maintained while providing a satisfactory outcome.However,since ER is a localized treatment that does not allow for lymph node dissection,the risk of LNM in SESCC limits the effectiveness of ER.Understanding LNM status can aid in determining whether patients with SESCC can be cured by ER without the need for additional esophagectomy.Previous studies have shown that tumor size,macroscopic type of tumor,degree of differentiation,depth of tumor invasion,and lymphovascular invasion are factors associated with LNM in patients with SESCC.In addition,tumor budding is commonly associated with LNM,recurrence,and distant metastasis,but this topic has been less covered in previous studies.By comprehensively evaluating the above risk factors for LNM,useful evidence can be obtained for doctors to select appropriate treatments for SESCC patients.

Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer

BACKGROUND Lymph node(LN)staging in rectal cancer(RC)affects treatment decisions and patient prognosis.For radiologists,the traditional preoperative assessment of LN metastasis(LNM)using magnetic resonance imaging(MRI)poses a challenge.AIM To explore the value of a nomogram model that combines Conventional MRI and radiomics features from the LNs of RC in assessing the preoperative metastasis of evaluable LNs.METHODS In this retrospective study,270 LNs(158 nonmetastatic,112 metastatic)were randomly split into training(n=189)and validation sets(n=81).LNs were classified based on pathology-MRI matching.Conventional MRI features[size,shape,margin,T2-weighted imaging(T2WI)appearance,and CE-T1-weighted imaging(T1WI)enhancement]were evaluated.Three radiomics models used 3D features from T1WI and T2WI images.Additionally,a nomogram model combining conventional MRI and radiomics features was developed.The model used univariate analysis and multivariable logistic regression.Evaluation employed the receiver operating characteristic curve,with DeLong test for comparing diagnostic performance.Nomogram performance was assessed using calibration and decision curve analysis.RESULTS The nomogram model outperformed conventional MRI and single radiomics models in evaluating LNM.In the training set,the nomogram model achieved an area under the curve(AUC)of 0.92,which was significantly higher than the AUCs of 0.82(P<0.001)and 0.89(P<0.001)of the conventional MRI and radiomics models,respectively.In the validation set,the nomogram model achieved an AUC of 0.91,significantly surpassing 0.80(P<0.001)and 0.86(P<0.001),respectively.CONCLUSION The nomogram model showed the best performance in predicting metastasis of evaluable LNs.

Which Lymph Nodes Should Be Exactly Removed during Breast Cancer Surgery to Prevent Metastasis?

The aim of the study was to identify the relationship between molecular subtypes of breast cancer (BC) and the morphological characteristics of axillary lymph nodes (ALN) and metastatic risk in BC patients to clarify danger degree and justification of removal before metastases appear. Material and methods. Tumor molecular subtypes of 116 female BC patients aged 24 - 75 (53.9 ± 0.8) were determined by tumor tissue immunohistological examination (obtained by tru-cut biopsy), and the BC was classified as Luminal A, Luminal B/HER2−, Luminal B/HER2+, TNBC, and HER2+ subtypes. To interpret the results for the BC receptor status, immunohistochemical analysis was performed and interpreted according to the Allred scale. Lymph node size, shape, structure and conglomerates availability were recorded according to ultrasonography (USG) examination evaluated on “LOGIQ C5-Premium” (2012). Blood CA-15-3 levels were analyzed using a COBAS-e 411 automated analyzer. Statistical analysis of the obtained results was carried out using the SPSS-26 software package, and based on the t-Student-Bonferroni and H-Kruskal-Wallis criteria. The sensitivity and specificity of the indicators studied were determined using ROC statistical analysis. Results showed a significant association of some subtypes, as well as receptor expression, with tumor metastasis to ALN. Conclusion: 1) The HER2+ subtype is the most aggressive in terms of ALN metastasis. Although TNBC is the most aggressive subtype in general, it is characterized by fewer metastases to the ALN than the HER2+ subtype. 2) Metastatic ALNs can be distinguished based on their cortical structure before tumor tissue biopsy, which is economically profitable. These LNs can be removed without biopsy.

Analysis of lymph node metastasis and survival prognosis in early gastric cancer patients: A retrospective study

BACKGROUND Early gastric cancer(EGC)is a common malignant tumor of the digestive system,and its lymph node metastasis and survival prognosis have been concerning.By retrospectively analyzing the clinical data of EGC patients,we can better under-stand the status of lymph node metastasis and its impact on survival and prog-nosis.AIM To evaluate the prognosis of EGC patients and the factors that affect lymph node METHODS The clinicopathological data of 1011 patients with EGC admitted to our hospital between January 2015 and December 2023 were collected in a retrospective cohort study.There were 561 males and 450 females.The mean age was 58±11 years.The patient underwent radical gastrectomy.The status of lymph node metastasis in each group was determined according to the pathological examination results of surgical specimens.The outcomes were as follows:(1)Lymph node metastasis in EGC patients;(2)Analysis of influencing factors of lymph node metastasis in EGC;and(3)Analysis of prognostic factors in patients with EGC.Normally distributed measurement data are expressed as mean±SD,and a t test was used for comparisons between groups.The data are expressed as absolute numbers or percentages,and the chi-square test was used for comparisons between groups.Rank data were compared using a nonparametric rank sum test.A log-rank test and a logistic regression model were used for univariate analysis.A logistic stepwise regression model and a Cox stepwise regression model were used for multivariate analysis.The Kaplan-Meier method was used to calculate the survival rate and construct survival curves.A log-rank test was used for survival analysis.RESULTS Analysis of influencing factors of lymph node metastasis in EGC.The results of the multifactor analysis showed that tumor length and diameter,tumor site,tumor invasion depth,vascular thrombus,and tumor differentiation degree were independent influencing factors for lymph node metastasis in patients with EGC(odds ratios=1.80,1.49,2.65,5.76,and 0.60;95%CI:1.29–2.50,1.11–2.00,1.81–3.88,3.87-8.59,and 0.48-0.76,respectively;P<0.05).Analysis of prognostic factors in patients with EGC.All 1011 patients with EGC were followed up for 43(0–13)months.The 3-year overall survival rate was 97.32%.Multivariate analysis revealed that age>60 years and lymph node metastasis were independent risk factors for prognosis in patients with EGC(hazard ratio=9.50,2.20;95%CI:3.31-27.29,1.00-4.87;P<0.05).Further analysis revealed that the 3-year overall survival rates of gastric cancer patients aged>60 years and≤60 years were 99.37%and 94.66%,respectively,and the difference was statistically significant(P<0.05).The 3-year overall survival rates of patients with and without lymph node metastasis were 95.42%and 97.92%,respectively,and the difference was statistically significant(P<0.05).CONCLUSION The lymph node metastasis rate of EGC patients was 23.64%.Tumor length,tumor site,tumor infiltration depth,vascular cancer thrombin,and tumor differentiation degree were found to be independent factors affecting lymph node metastasis in EGC patients.Age>60 years and lymph node metastasis are independent risk factors for EGC prognosis.

Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study

BACKGROUND Gastric cancer is one of the most common malignant tumors in the digestive system,ranking sixth in incidence and fourth in mortality worldwide.Since 42.5%of metastatic lymph nodes in gastric cancer belong to nodule type and peripheral type,the application of imaging diagnosis is restricted.AIM To establish models for predicting the risk of lymph node metastasis in gastric cancer patients using machine learning(ML)algorithms and to evaluate their pre-dictive performance in clinical practice.METHODS Data of a total of 369 patients who underwent radical gastrectomy at the Depart-ment of General Surgery of Affiliated Hospital of Xuzhou Medical University(Xuzhou,China)from March 2016 to November 2019 were collected and retro-spectively analyzed as the training group.In addition,data of 123 patients who underwent radical gastrectomy at the Department of General Surgery of Jining First People’s Hospital(Jining,China)were collected and analyzed as the verifi-cation group.Seven ML models,including decision tree,random forest,support vector machine(SVM),gradient boosting machine,naive Bayes,neural network,and logistic regression,were developed to evaluate the occurrence of lymph node metastasis in patients with gastric cancer.The ML models were established fo-llowing ten cross-validation iterations using the training dataset,and subsequently,each model was assessed using the test dataset.The models’performance was evaluated by comparing the area under the receiver operating characteristic curve of each model.RESULTS Among the seven ML models,except for SVM,the other ones exhibited higher accuracy and reliability,and the influences of various risk factors on the models are intuitive.CONCLUSION The ML models developed exhibit strong predictive capabilities for lymph node metastasis in gastric cancer,which can aid in personalized clinical diagnosis and treatment.

GLI1 and PTTG1 expression in colorectal carcinoma patients undergoing radical surgery and their correlation with lymph node metastasis

BACKGROUND Few studies have investigated the expression of GLI1 and PTTG1 in patients undergoing radical surgery for colorectal carcinoma(CRC)and their association with lymph node metastasis(LNM).Therefore,more relevant studies and analyses need to be conducted.AIM To explore GLI1 and PTTG1 expression in patients undergoing radical surgery for CRC and their correlation with LNM.METHODS This study selected 103 patients with CRC admitted to our hospital between April 2020 and April 2023.Sample specimens of CRC and adjacent tissues were collected to determine the positive rates and expression levels of GLI1 and PTTG1.The correlation of the two genes with patients’clinicopathological data(e.g.,LNM)was explored,and differences in GLI1 and PTTG1 expression between patients with LNM and those without were analyzed.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive potential of the two genes for LNM in patients with CRC.RESULTS Significantly higher positive rates and expression levels of GLI1 and PTTG1 wereobserved in CRC tissue samples compared with adjacent tissues.GLI1 and PTTG1 were strongly linked to LNM in patients undergoing radical surgery for CRC,with higher GLI1 and PTTG1 levels found in patients with LNM than in those without.The areas under the ROC curve of GLI1 and PTTG1 in assessing LNM in patients with CRC were 0.824 and 0.811,respectively.CONCLUSION GLI1 and PTTG1 expression was upregulated in patients undergoing radical surgery for CRC and are significantly related to LNM in these patients.Moreover,high GLI1 and PTTG1 expression can indicate LNM in patients with CRC undergoing radical surgery.The expression of both genes has certain diagnostic and therapeutic significance.

Risk factors for lymph node metastasis and invasion depth in early gastric cancer:Analysis of 210 cases

BACKGROUND Gastric cancer is the leading cause of cancer-related deaths worldwide.Early gastric cancer(EGC)is often associated with the risk of lymph node metastasis,which influences treatment decisions.Despite the use of enhanced computed tomography,the prediction of lymph node involvement remains challenging.AIM To investigate the risk factors for lymph node metastasis and invasion depth in patients with EGC.METHODS In total,210 patients with pathologically diagnosed EGC were included in this study.Univariate and multivariate statistical analyses were used to predict risk factors for lymph node metastasis and invasion depth in patients with EGC.RESULTS Among the 210 patients,27(12.9%)had lymph node metastases.Of the 117 patients with submucosal gastric cancer,24(20.5%)had lymph node metastases.Both univariate and multivariate analyses indicated that the depth of invasion in EGC was a risk factor for lymph node metastasis in these patients.Additionally,pathological type was identified as a risk factor for cancer cell invasion in patients with EGC.CONCLUSION EGC invasion depth,not tumor type,size,age,sex,or location,predicts lymph node spread.Tumor type,not size,age,sex,or location,predicts cancer cell invasion.

The prognostic significance of non-sentinel lymph node metastasis in cutaneous and acral melanoma patients—A multicenter retrospective study

Background:Whether non-sentinel lymph node(SLN)-positive melanoma patients can benefit from completion lymph node dissection(CLND)is still unclear.The current study was performed to identify the prognostic role of nonSLN status in SLN-positive melanoma and to investigate the predictive factors of non-SLN metastasis in acral and cutaneous melanoma patients.Methods:The records of 328 SLN-positive melanoma patients who underwent radical surgery at four cancer centers from September 2009 to August 2017 were reviewed.Clinicopathological data including age,gender,Clark level,Breslow index,ulceration,the number of positive SLNs,non-SLN status,and adjuvant therapy were included for survival analyses.Patients were followed up until death or June 30,2019.Multivariable logistic regression modeling was performed to identify factors associated with non-SLN positivity.Log-rank analysis and Cox regression analysis were used to identify the prognostic factors for disease-free survival(DFS)and overall survival(OS).Results:Among all enrolled patients,220(67.1%)had acral melanoma and 108(32.9%)had cutaneous melanoma.The 5-year DFS and OS rate of the entire cohort was 31.5%and 54.1%,respectively.More than 1 positive SLNs were found in 123(37.5%)patients.Positive non-SLNs were found in 99(30.2%)patients.Patients with positive non-SLNs had significantly worse DFS and OS(log-rank P<0.001).Non-SLN status(P=0.003),number of positive SLNs(P=0.016),and adjuvant therapy(P=0.025)were independent prognostic factors for DFS,while non-SLN status(P=0.002),the Breslow index(P=0.027),Clark level(P=0.006),ulceration(P=0.004),number of positive SLNs(P=0.001),and adjuvant therapy(P=0.007)were independent prognostic factors for OS.The Breslow index(P=0.020),Clark level(P=0.012),and number of positive SLNs(P=0.031)were independently related to positive non-SLNs and could be used to develop more personalized surgical strategy.Conclusions:Non-SLN-positive melanoma patients had worse DFS and OS even after immediate CLND than those with non-SLN-negative melanoma.The Breslow index,Clark level,and number of positive SLNs were independent predictive factors for non-SLN status.

Vascular Endothelial Growth Factor C Expression in Gastric Carcinoma and Its Relationship with Lymph Node Metastasis

Objective: To study the expression of vascular endothelial growth factor C (VEGF-C) in gastric carcinoma and its relationship with lymph node metastasis. Methods: The expression of VEGF-C mRNA in 5 gastric carcinoma cell lines was detected by reverse transcription-polymerase chain reaction (RT-PCR). Simultaneously, the expression of VEGF-C protein in gastric carcinoma tissues, which were obtained from 63 patients who underwent radical gastrectomy, was detected by immunohistochemistry. Results: Three of the 5 gastric carcinoma cell lines, MKN-45, SGC-7901 and AGS, expressed VEGF-C mRNA. VEGF-C protein was expressed in 52.4% (33/63) of patients. VEGF-C protein expression was more frequently found in tumors with lymph node metastasis than in those without (P<0.01). VEGF-C protein expression was also closely related to lymphatic invasion (P<0.01) and TNM stage (P<0.01). However, there was no significant correlation between VEGF-C expression and the age, gender, tumor size, tumor location, Lauren classification, depth of invasion, and vascular invasion. Conclusion: The expression of VEGF-C is closely related to lymph node metastasis of gastric carcinoma, and lymphangiogenesis might be a new target for treatment of gastric carcinoma.

Clinical significance of lymph node metastasis in gastric cancer

Gastric cancer,one of the most common malignancies in the world,frequently reveals lymph node,peritoneum,and liver metastases.Most of gastric cancer patients present with lymph node metastasis when they were initially diagnosed or underwent surgical resection,which results in poor prognosis.Both the depth of tumor invasion and lymph node involvement are considered as the most important prognostic predictors of gastric cancer.Although extended lymphadenectomy was not considered a survival benefit procedure and was reported to be associated with high mortality and morbidity in two randomized controlled European trials,it showed significant superiority in terms of lower locoregional recurrence and disease related deaths compared to limited lymphadenectomy in a 15-year followup study.Almost all clinical investigators have reached a consensus that the predictive efficiency of the number of metastatic lymph nodes is far better than the extent of lymph node metastasis for the prognosis of gastric cancer worldwide,but other nodal metastatic classifications of gastric cancer have been proposed as alternatives to the number of metastatic lymph nodes for improving the predictive efficiency for patient prognosis.It is still controversial over whether the ratio between metastatic and examined lymph nodes is superior to the number of metastatic lymph nodes in prognostic evaluation of gastric cancer.Besides,the negative lymph node count has been increasingly recognized to be an important factor significantly associated with prognosis of gastric cancer.

Prediction of risk factors for lymph node metastasis in early gastric cancer

AIM:To explore risk factors for lymph node metastases in early gastric cancer(EGC) and to confirm the appropriate range of lymph node dissection.METHODS:A total of 202 patients with EGC who underwent curative gastrectomy with lymphadenectomy in the Department of Surgery,Xinhua Hospital and Ruijin Hospital of Shanghai Jiaotong University Medical School between November 2003 and July 2009,were retrospectively reviewed.Both the surgical procedure and the extent of lymph node dissection were based on the recommendations of the Japanese gastric cancer treatment guidelines.The macroscopic type was classified as elevated(type Ⅰ or Ⅱa),flat(Ⅱb),or depressed(Ⅱc or Ⅲ).Histopathologically,papillary and tubular adenocarcinomas were grouped together as differentiated adenocarcinomas,and poorly differentiated and signet-ring cell adenocarcinomas were regarded as undifferentiated adenocarcinomas.Univariate and multivariate analyses of lymph node metastases and patient and tumor characteristics were undertaken.RESULTS:The lymph node metastases rate in patients with EGC was 14.4%.Among these,the rate for mucosal cancer was 5.4%,and 8.9% for submucosal cancer.Univariate analysis showed an obvious correlation between lymph node metastases and tumor location,depth of invasion,morphological classification and venous invasion(χ 2 = 122.901,P = 0.001;χ 2 = 7.14,P = 0.008;χ 2 = 79.523,P = 0.001;χ 2 = 8.687,P = 0.003,respectively).In patients with submucosal cancers,the lymph node metastases rate in patients with venous invasion(60%,3/5) was higher than in those without invasion(20%,15/75)(χ 2 = 4.301,P = 0.038).Multivariate logistic regression analysis revealed that the depth of invasion was the only independent risk factor for lymph node metastases in EGC [P = 0.018,Exp(B) = 2.744].Among the patients with lymph node metastases,29 cases(14.4%) were at N1,seven cases were at N2(3.5%),and two cases were at N3(1.0%).Univariate analysis of variance revealed a close relationship between the depth of invasion and lymph node metastases at pN 1(P = 0.008).CONCLUSION:The depth of invasion was the only independent risk factor for lymph node metastases.Risk factors for metastases should be considered when choosing surgery for EGC.

Progress in the Study of Lymph Node Metastasis in Early-stage Cervical Cancer

Spread into regional lymph node is the major route of metastasis in cervical cancer. Although lymph node status is not involved in the International Federation of Gynecology and Obstetrics staging system of uterine cervical cancer, the presence or absence of lymph node metastasis provides important information for prognosis and treatment. In this review, we have attempted to focus on the incidence and patterns of lymph node metastasis, and the issues surrounding surgical assessment of lymph nodes. In addition, the preoperative prediction of lymph node status, as well as the intraoperative assessment by sentinel nodes will be reviewed. Finally, lymph node micrometastasis also will be discussed.

Computed tomography and magnetic resonance imaging evaluation of lymph node metastasis in early colorectal cancer

AIM: To assess the role of computed tomography(CT) and magnetic resonance imaging(MRI) and establish imaging criteria of lymph node metastasis in early colorectal cancer.METHODS: One hundred and sixty patients with early colorectal cancer were evaluated for tumor location, clinical history of polypectomy, depth of tumor invasion, and lymph node metastasis. Two radiologists assessed preoperative CT and/or MRI for the primary tumor site detectability, the presence or absence of regional lymph node, and the size of the largest lymph node. Demographic, imaging, and pathologic findings were compared between the two groups of patients based on pathologic lymph node metastasis and optimal size criterion was obtained.RESULTS: The locations of tumor were ascending, transverse, descending, sigmoid colon, and rectum. One hundred and sixty early colorectal cancers were classified into 3 groups based on the pathological depth of tumor invasion; mucosa, submucosa, and depth unavailable. A total of 20(12.5%) cancers with submucosal invasion showed lymph node metastasis. Lymph nodes were detected on CT or MRI in 53 patients. The detection rate and size of lymph nodes were significantly higher(P = 0.000, P = 0.044, respectively) in patients with pathologic nodal metastasis than in patients without nodal metastasis. Receiver operating curve analysis showed that a cut-off value of 4.1 mm is optimal with a sensitivity of 78.6% and specificity of 75%.CONCLUSION: The short diameter size criterion of≥ 4.1 mm for metastatic lymph nodes was optimal for nodal staging in early colorectal cancer.

Prediction of lymph node metastasis and sentinel node navigation surgery for patients with early-stage gastric cancer

Accurate prediction of lymph node(LN) status is crucially important for appropriate treatment planning in patients with early gastric cancer(EGC). However,consensus on patient and tumor characteristics associated with LN metastasis are yet to be reached. Through systematic search,we identified several independent variables associated with LN metastasis in EGC,which should be included in future research to assess which of these variables remain as significant predictors of LN metastasis. On the other hand,even if we use these promising parameters,we should realize the limitation and the difficulty of predicting LN metastasis accurately. The sentinel LN(SLN) is defined as first possible site to receive cancer cells along the route of lymphatic drainage from the primary tumor. The absence of metastasis in SLN is believed to correlate with the absence of metastasis in downstream LNs. In this review,we have attempted to focus on several independent parameters which have close relationship between tumor and LN metastasis in EGC. In addition,we evaluated the history of sentinel node navigation surgery and the usefulness for EGC.

Feasibility of endoscopic treatment and predictors of lymph node metastasis in early gastric cancer

BACKGROUND Endoscopic submucosal dissection (ESD) has been routinely performed in applicable early gastric cancer (EGC) patients as an alternative to conventional surgical operations that involve lymph node dissection. The indications for ESD have been recently expanded to include larger, ulcerated, and undifferentiated mucosal lesions, and differentiated lesions with slight submucosal invasion. The risk of lymph node metastasis (LNM) is the most important consideration when deciding on a treatment strategy for EGC. Despite the advantages over surgical procedures, lymph nodes cannot be removed by ESD. In addition, whether patients who meet the expanded indications for ESD can be managed safely remains controversial. AIM To determine whether the ESD indications are applicable to Chinese patients and to investigate the predictors of LNM in EGC. METHODS We retrospectively analyzed 12552 patients who underwent surgery for gastric cancer between June 2007 and December 2018 at the Affiliated Hospital of Qingdao University. A total of 1262 (10.1%) EGC patients were eligible for inclusion in this study. Data on the patients’ clinical, endoscopic, and histopathological characteristics were collected. The absolute and expanded indications for ESD were validated by regrouping the enrolled patients and determining the positive LNM results in each subgroup. Predictors of LNM in patients were evaluated by univariate and multivariate analyses. RESULTS LNM was observed in 182 (14.4%) patients. No LNM was detected in the patients who met the absolute indications (0/90). LNM occurred in 4/311 (1.3%) patients who met the expanded indications. According to univariate analysis, LNM was significantly associated with positive tumor marker status, medium (20-30 mm) and large (>30 mm) lesion sizes, excavated macroscopic-type tumors, ulcer presence, submucosal invasion (SM1 and SM2), poor differentiation, lymphovascular invasion (LVI), perineural invasion, and diffuse and mixed Lauren’s types. Multivariate analysis demonstrated SM1 invasion (odds ration [OR]= 2.285, P = 0.03), SM2 invasion (OR = 3.230, P < 0.001), LVI (OR = 15.702, P < 0.001), mucinous adenocarcinoma (OR = 2.823, P = 0.015), and large lesion size (OR = 1.900, P = 0.006) to be independent risk factors. CONCLUSION The absolute indications for ESD are reasonable, and the feasibility of expanding the indications for ESD requires further investigation. The predictors of LNM include invasion depth, LVI, mucinous adenocarcinoma, and lesion size.