Diagnostic Value of Quantitative Parameters of DCE-MRI in Endometrial Carcinoma and Its Correlation with Clinicopathological Factors

In the study,108 patients with endometrial cancer were selected as the observation group,and 105 patients with benign endometrial lesions were selected as the control group.After DCE-MRI examination,it was found that the volume transfer constant(K^(trans)),rate constant(K_(e))and extracellular space volume ratio(V_(e))in the observation group were higher than those in the control group(P<0.05).The area under curve(AUC)of combined K^(trans),K_(e) and V_(e) values in the diagnosis of endometrial cancer was 0.841.The values of K^(trans),K_(e )and V_(e) were positively correlated with the clinical stage and the degree of muscular invasion,but negatively correlated with the degree of differentiation(P<0.05).The results of the study suggested that DCE-MRI quantitative parameters have a certain value in the differential diagnosis of endometrial cancer,which helped to further distinguish the degree of muscular invasion,clinical stage,and differentiation of endometrial cancer patients.

Predicting lymph node metastasis in colorectal cancer:An analysis of influencing factors to develop a risk model

BACKGROUND Colorectal cancer(CRC)is a significant global health issue,and lymph node metastasis(LNM)is a crucial prognostic factor.Accurate prediction of LNM is essential for developing individualized treatment strategies for patients with CRC.However,the prediction of LNM is challenging and depends on various factors such as tumor histology,clinicopathological features,and molecular characteristics.The most reliable method to detect LNM is the histopathological examination of surgically resected specimens;however,this method is invasive,time-consuming,and subject to sampling errors and interobserver variability.AIM To analyze influencing factors and develop and validate a risk prediction model for LNM in CRC based on a large patient queue.METHODS This study retrospectively analyzed 300 patients who underwent CRC surgery at two Peking University Shenzhen hospitals between January and December 2021.A deep learning approach was used to extract features potentially associated with LNM from primary tumor histological images while a logistic regression model was employed to predict LNM in CRC using machine-learning-derived features and clinicopathological variables as predictors.RESULTS The prediction model constructed for LNM in CRC was based on a logistic regression framework that incorporated machine learning-extracted features and clinicopathological variables.The model achieved high accuracy(0.86),sensitivity(0.81),specificity(0.87),positive predictive value(0.66),negative predictive value(0.94),area under the curve for the receiver operating characteristic(0.91),and a low Brier score(0.10).The model showed good agreement between the observed and predicted probabilities of LNM across a range of risk thresholds,indicating good calibration and clinical utility.CONCLUSION The present study successfully developed and validated a potent and effective risk-prediction model for LNM in patients with CRC.This model utilizes machine-learning-derived features extracted from primary tumor histology and clinicopathological variables,demonstrating superior performance and clinical applicability compared to existing models.The study provides new insights into the potential of deep learning to extract valuable information from tumor histology,in turn,improving the prediction of LNM in CRC and facilitate risk stratification and decision-making in clinical practice.

Does gastric stump cancer really differ from primary proximal gastric cancer? A multicentre, propensity score matching-used, retrospective cohort study

BACKGROUND Although the location of proximal cancer of the remnant stomach is the same as that of primary proximal cancer of the stomach,its clinical characteristics and prognosis are still controversial.AIM To evaluate the clinicopathological features and prognosis factors of gastric stump cancer(GSC)and primary proximal gastric cancer(PGC).METHODS From January,2005 to December,2016,178 patients with GSC and 957 cases with PGC who received surgical treatment were enrolled.Patients in both groups underwent 1:1 propensity score matching analysis,and both clinical and pathological data were systematically collected for statistical purposes.Quality of RESULTS One hundred and fifty-two pairs were successfully matched after propensity score matching analysis.Of the 15 demographic and pathological variables collected,the analysis further revealed that the number of lymph nodes and positive lymph nodes were different prognostic and clinicopathological factors between PGC and GSC.Univariate and multivariate analyses showed that gender,differentiation degree and tumor-node-metastasis stage were independent risk factors for patients with GSC.Gender,vascular invasion,differentiation degree,depth of infiltration,positive lymph nodes,and tumor-node-metastasis stage were independent risk factors for patients with PGC.The 5-year overall survival and cancer-specific survival of patients with GSC were significantly lower than those in the PGC group,the scores for overall quality of life in the GSC-malignant group were lower than the GSC-benign,and the differences were statistically significant.CONCLUSION The differences in clinicopathological characteristics between GSC and PGC were clarified,and PGC had a better prognosis than GSC.

A Meta-analysis Reveals Prognostic Role of Programmed Death Ligand-1 in Asian Patients with Non-small Cell Lung Cancer

Accumulating studies explored the clinicopathologic and prognostic value of programmed death ligand-1（PD-L1） in non-small cell lung cancer（NSCLC）, but the results were controversial. We therefore conducted a meta-analysis to evaluate the predictive role of PD-L1 in NSCLC patients. We systematically collected relevant studies from Pub Med, Embase, Web of Science and China National Knowledge Infrastructure. The pooled hazard ratios（HRs） with 95% confidence intervals（CIs） for overall survival（OS）, and odd ratios（ORs） with 95% CIs for clinicopathologic factors were calculated. A total of 15 studies involving 3605 patients were included in this meta-analysis. The results showed no prognostic role of PD-L1 in the whole patients（HR=1.60, 95% CI： 0.88–2.89, P=0.123）. Subgroup analysis showed that PD-L1 was associated with decreased OS in Asian patients（HR=2.00, 95% CI： 1.55–2.57, P〈0.001）. Among all the clinicopathologic factors, PD-L1 overexpression was significantly in relevance with poor tumor cell differentiation（HR=1.84, 95% CI： 1.49–2.28, P〈0.001）, late stage（HR=1.21, 95% CI： 1.02–1.43, P=0.026） and anaplastic lymphoma kinase（ALK） translocation（HR=2.63, 95% CI： 1.08–6.40, P=0.034）, but not with other factors. In conclusion, our meta-analysis demonstrated that PD-L1 has a prognostic role in Asian patients with NSCLC.

Early gastric cancer frequently has high expression of KKLC-1, a cancer-testis antigen

AIM To assess cancer-testis antigens(CTAs) expression in gastric cancer patients and examined their associations with clinicopathological factors.METHODS Eighty-three gastric cancer patients were evaluated in this study. Gastric cancer specimens were evaluated for the gene expression of CTAs, Kitakyushu lung cancer antigen-1(KK-LC-1), melanoma antigen(MAGE)-A1, MAGE-A3 and New York esophageal cancer-1(NYESO-1), by reverse transcription PCR. Clinicopathological background information, such as gender, age, tumor size, macroscopic type, tumor histology, depth of invasion, lymph node metastasis, lymphatic invasion, venous invasion, and pathological stage, was obtained. Statistical comparisons between the expression of each CTA and each clinicopathological background were performed using the χ2 test. RESULTS The expression rates of KK-LC-1, MAGE-A1, MAGE-A3, and NY-ESO-1 were 79.5%, 32.5%, 39.8%, and 15.7%, respectively. In early stage gastric cancer specimens, the expression of KK-LC-1 was 79.4%, which is comparable to the 79.6% observed in advanced stage specimens. The expression of KK-LC-1 was not significantly associated with clinicopathological factors, while there were considerable differences in the expression rates of MAGE-A1 and MAGE-A3 with vs without lymphatic invasion(MAGE-A1, 39.3% vs 13.6%, P = 0.034; MAGE-A3, 47.5% vs 18.2%, P = 0.022) and/or vascular invasion(MAGE-A1, 41.5% vs 16.7%, P = 0.028; MAGE-A3, 49.1% vs 23.3%, P = 0.035) and, particularly, MAGE-A3, in patients with early vs advanced stage(36.5% vs 49.0%, P = 0.044), respectively. Patients expressing MAGE-A3 and NYESO-1 were older than those not expressing MAGE-A3 and NY-ESO-1(MAGE-A3, 73.7 ± 7.1 vs 67.4 ± 12.3, P = 0.009; NY-ESO-1, 75.5 ± 7.2 vs 68.8 ± 11.2, P = 0.042). CONCLUSION The KK-LC-1 expression rate was high even in patients with stage I cancer, suggesting that KK-LC-1 is a useful biomarker for early diagnosis of gastric cancer.

Prognostic analysis of patients with combined hepatocellularcholangiocarcinoma after radical resection:A retrospective multicenter cohort study

BACKGROUND Combined hepatocellular-cholangiocarcinoma(cHCC-CCA)is a form of rare primary liver cancer that combines intrahepatic cholangiocarcinoma(ICC)and hepatocellular carcinoma.AIM To investigate overall survival(OS)and recurrence-free survival(RFS)after radical resection in patients with cHCC-CCA,and the clinicopathological factors affecting prognosis in two center hospitals of China.METHODS We reviewed consecutive patients with cHCC-CCA who received radical resection between January 2005 and September 2021 at Peking Union Medical College and the 5th Medical Center of the PLA General Hospital retrospectively.Regular follow-up and clinicopathological characteristics were systematic collected for baseline and prognostic analysis.RESULTS Our study included 95 patients who received radical resection.The majority of these patients were male and 82.7%of these patients were infected with HBV.The mean tumor size was 4.5 cm,and approximately 40%of patients had more than one lesion.The median OS was 26.8(95%CI:18.5-43.0)mo,and the median RFS was 7.27(95%CI:5.83-10.3)mo.Independent predictors of OS were CA19-9≥37 U/mL(HR=8.68,P=0.002),Child-Pugh score>5(HR=5.52,P=0.027),tumor number>1(HR=30.85,P=0.002),tumor size and transarterial chemoembolization(TACE)after surgery(HR=0.2,P=0.005).CONCLUSION The overall postoperative survival of cHCC-CCA patients is poor,and most patients experience relapse within a short period of time after surgery.Preoperative tumor biomarker(CA19-9,alphafetoprotein)levels,tumor size,and Child-Pugh score can significantly affect OS.Adjuvant TACE after surgery prolongs RFS,suggesting that TACE is a possible option for postoperative adjuvant therapy in patients with cHCC-CCA.

Lymph node metastasis in early gastric cancer

Objective To discuss the clinicopathological factors for lymph node metastasis （LNM） in early gastric cancer （EGC）,including age,gender,location,size,macroscopic type,depth of invasion,histological type,and lymphatic invasion,and the regulation of LNM in EGC.Data sources The data used in this review were mainly from PubMed articles published in English.The search terms were ＂early gastric cancer＂ and ＂lymph node metastasis.＂ Study selection Articles were selected if they reported the clinicopathological factors and regulation of LNM in EGC.Results The prognosis of EGC is better than advanced gastric cancer,with over 90％ 5-year survival rate.The main risk factors for LNM in EGC are tumor size,macroscopic type,depth of invasion,histological type,ulceration,and lymphatic invasion.Conclusions LNM in EGC is a critical factor for assessment of prognosis and determination of therapeutic strategy.Endoscopic mucosal resection or endoscopic submucosal dissection should be considered when patients have low risk of LNM.