scholarly journals Clinicopathologic Significance of HIF-1α, CXCR4, and VEGF Expression in Colon Cancer

2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Yugang Wu ◽  
Min Jin ◽  
Huanbai Xu ◽  
Zhang Shimin ◽  
Songbing He ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Distant Metastasis ◽  
Disease Free Survival ◽  
High Expression ◽  
Cancer Tissue ◽  
Vegf Expression ◽  
Tissue Samples ◽  
Node Metastasis

We investigated the clinicopathologic significance of HIF-1, CXCR4, and VEGF expression using immumohistochemistry in human colon cancer. HIF-1, CXCR4, and VEGF high expression levels were correlated positively with TNM stage, lymph node involvement, and distant metastasis Furthermore, we found that combined high expression of any two of the three molecules (P=.028for HIF-1/CXCR4,P=.007for HIF-1/VEGF, andP=.004for CXCR4/VEGF) had stronger correlation with lymph node metastasis than did each alone. However, a relationship with distant metastasis is seen only with the combinations CXCR4/VEGF (P=.069for HIF-1/CXCR4,P=.062for HIF-1/VEGF, andP=.035for CXCR4/VEGF) as compared with those of single molecule high expression alone. Combined expression of all three molecules strongly correlates with lymph node metastasis and distant metastasis. The mRNA expression of HIF-1, CXCR4, and VEGF were quantified by real-time PCR in different colon cancer tissue samples, the experiment results shown that fresh colon tissue samples significantly overexpressed CXCR4 and VEGF mRNA compared with negative control. Therefore, the disease-free survival of all patients after curative resection can be considered in association with all three markers expression.

scholarly journals Deep Convolutional Neural Network-Based Lymph Node Metastasis Prediction for Colon Cancer Using Histopathological Images

2021 ◽  
Vol 10 ◽  
Author(s):  
Min Seob Kwak ◽  
Hun Hee Lee ◽  
Jae Min Yang ◽  
Jae Myung Cha ◽  
Jung Won Jeon ◽  
...  
Keyword(s):  
Neural Network ◽  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Convolutional Neural Network ◽  
Deep Convolutional Neural Network ◽  
Cancer Tissue ◽  
Negative Group ◽  
Positive Group ◽  
Node Metastasis

BackgroundHuman evaluation of pathological slides cannot accurately predict lymph node metastasis (LNM), although accurate prediction is essential to determine treatment and follow-up strategies for colon cancer. We aimed to develop accurate histopathological features for LNM in colon cancer.MethodsWe developed a deep convolutional neural network model to distinguish the cancer tissue component of colon cancer using data from the tissue bank of the National Center for Tumor Diseases and the pathology archive at the University Medical Center Mannheim, Germany. This model was applied to whole-slide pathological images of colon cancer patients from The Cancer Genome Atlas (TCGA). The predictive value of the peri-tumoral stroma (PTS) score for LNM was assessed.ResultsA total of 164 patients with stages I, II, and III colon cancer from TCGA were analyzed. The mean PTS score was 0.380 (± SD = 0.285), and significantly higher PTS scores were observed in patients in the LNM-positive group than those in the LNM-negative group (P < 0.001). In the univariate analyses, the PTS scores for the LNM-positive group were significantly higher than those for the LNM-negative group (P < 0.001). Further, the PTS scores in lymphatic invasion and any one of perineural, lymphatic, or venous invasion were significantly increased in the LNM-positive group (P < 0.001 and P < 0.001).ConclusionWe established the PTS score, a simplified reproducible parameter, for predicting LNM in colon cancer using computer-based analysis that could be used to guide treatment decisions. These findings warrant further confirmation through large-scale prospective clinical trials.

scholarly journals DSG2 expression is low in colon cancer and correlates with poor survival

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tingting Yang ◽  
Xuan Gu ◽  
Lizhou Jia ◽  
Jiaojiao Guo ◽  
Qi Tang ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Distant Metastasis ◽  
Bioinformatics Analysis ◽  
Venous Invasion ◽  
Migration And Invasion ◽  
Poor Survival ◽  
Node Metastasis ◽  
Ajcc Stage

Abstract Background Desmoglein2 (DSG2) is a transmembrane protein that helps regulate intercellular connections and contributes to desmosome assembly. Desmosome are associated with cell adhesion junctions, which play an important role in cancer progression specially cancer cell migration and invasion. However, DSG2 expression in colon cancer (CC) and its association with CC patients’ overall survival (OS) are still unclear. Methods We collected 587 CC samples, 41 colitis tissues and 114 pericarcinomatous tissues, as well as corresponding clinicopathological data about the patients who contributed them. All samples were tested immunohistochemically in tissue microarrays. Kaplan–Meier method was used for calculating patient survival. Univariate and multivariate analyses was used for investigating DGS2 link with CC patient’s clinicopathological factors. Bioinformatics analysis was also used in study. Results The results showed that DSG2 expression was lower in CC tissues than in pericarcinomatous tissues (P < 0.001). DSG2 expression was associated with differentiation (P = 0.033), lymph node metastasis (P = 0.045), distant metastasis (P = 0.006) and AJCC stage (P < 0.001). Univariate analysis indicated that poor OS in patients with CC was associated with low DSG2 expression (P < 0.001), tumor size (P < 0.001), lymph node metastasis (P < 0.001), distant metastasis (P < 0.001), AJCC stage (P < 0.001) and venous invasion (P < 0.001). In multivariate analysis, low DSG2 expression (P < 0.001), distant metastasis (P < 0.001), AJCC stage (P = 0.002), venous invasion (P < 0.001) were independent prognostic factors for CC patients. Bioinformatics analysis indicated that low DSG2 expression affects protein activation, regulates the P53-related pathway in CC, and activates the EGFR pathway. Conclusions The results suggest that low DSG2 expression is associated with poor survival for CC patients. DSG2 could be a prognostic biomarker for CC.

Prognostic value and clinicopathological significance of programmed cell death ligand 1 (PD-L1) expression in resected gastric cancer: A meta-analysis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15512-e15512
Author(s):  
Shuixiu Yu ◽  
Jing Ning ◽  
Wei Ouyang ◽  
Lingzhi Ding ◽  
Kaisu Lin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Distant Metastasis ◽  
Prognostic Value ◽  
Meta Analysis ◽  
High Expression ◽  
Node Metastasis ◽  
Clinicopathological Significance ◽  
Resected Gastric Cancer

e15512 Background: Programmed death ligand 1 (PD-L1) expression has become a promising biomarker in predicting the efficacy of immune checkpoint inhibitors in various advanced cancers, including gastric cancer (GC). However, the prognostic value and clinicopathological significance of PD-L1 in GC is still not clearly identified. Hence, we carried out a meta-analysis to investigate the potential role of PD-L1 in GC, expecting to provide new clues for the judgement of prognosis in resected gastric cancer. Methods: A literature search strategy was performed from the PubMed, Web of Science, EMBASE, and the Cochrane Library database as of December 1, 2018. Relevant data was rigorously extracted from the included literatures. Hazard ratios (HRs) and Odds ratios (ORs) along with 95% confidence intervals (95% CIs) were used to evaluate the prognostic value or clinicopathological significance of PD-L1 expression in GC. Results: A total of 21 studies containing 6021 patients fitted into our meta-analysis. The pooled HRs indicated that PD-L1 high-expression accompanied with a worse overall survival (OS) (HR=1.28, 95% CI: 1.01-1.62, P=0.04) in GC, while no correlation with disease-free survival (DFS) (HR=0.88, 95%CI: 0.53-1.45, P=0.61). Subgroup analysis showed that PD-L1 high-expression was negatively associated with distant metastasis groups (OR=0.66, 95%CI:0.48-0.89, P=0.01), but was positively related to elderly(OR=1.19, 95%CI: 1.01-1.40, P=0.04), lymph-node metastasis(OR=1.63, 95%CI: 1.08-2.46, P=0.02), deeper tumor infiltration(OR=1.73, 95%CI: 1.08-2.79, P=0.02), Epstein-Barr virus infection positive (EBV+) (OR=8.01, 95%CI: 3.10-20.72, P<0.0001), and MET positive (MET+) groups (OR=1.78, 95%CI: 1.05-3.00, P=0.03). Conclusions: Our meta-analysis found that the high-expression of PD-L1 accompanied with a poor OS. Moreover, PD-L1 high-expression was related to age, lymph-node metastasis, depth of infiltration, distant metastasis, EBV infection, and MET status.

scholarly journals Long non-coding RNA XIST expression as a prognostic factor in human cancers: A meta-analysis

2019 ◽  
Vol 34 (4) ◽  
pp. 327-333
Author(s):  
Shuai Yin ◽  
Jiayu Dou ◽  
Guifang Yang ◽  
Fangfang Chen
Keyword(s):  
Overall Survival ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Distant Metastasis ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
High Expression ◽  
Xist Expression ◽  
Node Metastasis

A large number of literature has shown that high expression of X inactive-specific transcript (XIST) is associated with poor prognosis and metastasis of cancer in patients. However, most of this literature is limited by the small sample sizes and discrete outcomes. Therefore, a meta-analysis was performed to investigate the relation between XIST expression and tumor node metastasis (TNM) stage, lymph node metastasis, distant metastasis, and overall survival of cancer patients. We searched for literature in PubMed, Embase, and Web of Science. The pooled hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the association of XIST expression with prognosis and clinicopathological characteristics of cancer patients. Finally, a total of 14 articles involving 1123 patients were included in this meta-analysis. The results suggested that high expression of XIST has a significant relationship with a relatively poor overall survival for patients with malignant tumors (HR 1.82; 95% CI 1.32, 2.52; P = 0.0003). Moreover, high expression of XIST was significantly associated with poor TNM stage (OR 3.64; 95% CI 2.62, 5.07; P < 0.0001), lymph node metastasis (OR 2.39; 95% CI 1.65, 3.46; P < 0.0001) and distant metastasis (OR 2.84; 95% CI 1.90, 4.23; P < 0.0001). In conclusion, high expression of lncRNA XIST may be a predictive factor of poor prognosis in human cancers.

scholarly journals Clinicopathological analysis and prognostic significance of NF-κB p65 and IKKβ protein and mRNA expression in nasopharyngeal carcinoma

2022 ◽  
Vol 50 (1) ◽  
pp. 030006052110691
Author(s):  
Mei Zhou ◽  
Gang Zhao ◽  
Xiaojun Zhou ◽  
Ruixia Xuan ◽  
Yuwei Chen ◽  
...  
Keyword(s):  
Lymph Node ◽  
Nasopharyngeal Carcinoma ◽  
Lymph Node Metastasis ◽  
Mrna Expression ◽  
Survival Rates ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Mrna Levels ◽  
Tissue Samples ◽  
Node Metastasis

Objective To investigate the clinicopathological significance of NF-κB p65 and IKKβ protein and mRNA expression in nasopharyngeal carcinoma (NPC) patients from Guangdong Province, China. Methods Data and tissues from patients with NPC were retrospectively studied. Immunohistochemical staining and quantitative reverse transcription polymerase chain reaction were used to evaluate and compare NF-κB p65 and IKKβ protein and mRNA levels, respectively, in 60 NPC and 30 nasopharyngitis tissue samples. Statistical analysis was conducted to determine correlations between NF-κB p65 and IKKβ protein and mRNA levels with clinicopathological characteristics and prognoses of NPC patients. Results NF-κB p65 and IKKβ protein and mRNA expression in NPC were significantly correlated with tumor size, lymph node metastasis, and TNM stage. NF-κB p65 and IKKβ protein and mRNA levels were significantly increased in NPC patients with deep tumor invasion (T3–4), lymph node metastasis, and stage III/IV disease; high NF-κB p65 and IKKβ mRNA expression were associated with significantly shorter disease-free survival rates compared with cases showing low NF-κB p65 and IKKβ mRNA expression. Conclusions NF-κB p65 and IKKβ may affect the prognosis of NPC patients and could be potential therapeutic targets for this disease.

scholarly journals eIF4E Overexpression Is Associated with Poor Prognoses of Ovarian Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jun Zheng ◽  
Xueqing Li ◽  
Chunyan Zhang ◽  
Yiqiang Zhang
Keyword(s):  
Ovarian Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cyclin D1 ◽  
Cox Regression ◽  
Cancer Tissue ◽  
Tissue Samples ◽  
Cox Regression Analysis ◽  
Node Metastasis ◽  
Incidence And Mortality

Aim. Ovarian cancer is a common malignant tumor of the gynecological oncology worldwide, with a high incidence and mortality rate and poor prognosis. Searching for new diagnostic molecular biomarkers for ovarian cancer is extremely significant. Methods. Here, we analyzed the expression rates of eIF4E and cyclin D1 proteins in 123 cases of cancer tissue samples and 38 cases of paracancerous tissue samples and studied the connection between the expression rates of eIF4E and cyclin D1 proteins by immunohistochemistry and statistically correlated with clinicopathological features in ovarian cancer. Results. The results showed that the expression rates of eIF4E and cyclin D1 proteins in ovarian cancer tissues were significantly higher than those in noncancerous epithelial ovarian tissues ( P = 0.001 and P = 0.032 , respectively). Additionally, the results revealed that a higher expression rate of eIF4E ( P = 0.008 ) was found in the advanced stage (stage III/IV), and also patients with cervical lymph node metastasis displayed higher expression of eIF4E ( P < 0.001 ) and cyclin D1 ( P = 0.033 ) than those without lymph node metastasis. Spearman’s rank correlation test showed that there was a significant positive correlation between the eIF4E and cyclin D1 proteins in ovarian cancer. The Kaplan-Meier method showed that patients with lower expression of eIF4E had marginally better survival than those with high expression of eIF4E ( P = 0.012 ). Multivariate Cox regression analysis further identified that positive expression of eIF4E was an independent prognostic factor. Conclusion. In ovarian cancer, eIF4E might be a valuable biomarker to predict poor prognoses and a potential therapeutic target to develop valid treatment strategies.

Disease Recurrence Patterns and Analysis of Clinicopathological Prognostic Factors for Recurrence after Resection for Distal Bile Duct Cancer

2015 ◽  
Vol 81 (3) ◽  
pp. 289-296 ◽  
Author(s):  
Sae Byeol Choi ◽  
Hyung Joon Han ◽  
Pyoung Jae Park ◽  
Wan Bae Kim ◽  
Tae Jin Song ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Bile Duct ◽  
Lymph Node Metastasis ◽  
Surgical Resection ◽  
Distant Metastasis ◽  
Disease Free Survival ◽  
Disease Recurrence ◽  
Distal Bile Duct ◽  
Node Metastasis

Surgical resection is the treatment of choice for bile duct cancers. The aim of this study was to investigate disease recurrence patterns and prognostic factors for recurrence of distal bile duct cancers after surgical resection. A retrospective study was performed on 122 patients with distal bile duct cancers who underwent R0 or R1 surgical resection at Korea University Guro Hospital from 1991 to 2010. Sites of initial disease recurrence were classified as locoregional or distant. Univariate and multivariate analyses were performed to investigate the factors affecting recurrence. Of the 122 patients, 80 patients developed recurrence. The disease-free survival rate was 63.1 per cent at one year and 36.4 per cent at three years. The patterns of recurrence at diagnosis were locoregional in 25 patients, locoregional and distant metastasis in 14 patients, and distant metastasis in 41 patients. Multivariate analyses revealed that recurrence pattern, lymph node metastasis, and differentiation are independent prognostic factors affecting disease-free survival. R status (marginal significance) and tumor differentiation were independent prognostic factors associated with locoregional recurrence. Differentiation and lymph node metastasis were independent prognostic factors associated with distant metastasis. The prognosis after recurrence was poor with a 1-year survival rate after recurrence of 26.1 per cent. Adjuvant chemo- or radiation therapy, delivered in patients mainly with R1 resection or with presence of lymph node metastasis, did not demonstrate the survival benefit. Significant factors for recurrence were tumor differentiation and lymph node metastasis. Therefore, close follow-up and adjuvant therapy will be necessary in patients with lymph node metastasis or poorly differentiated tumor.

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