Prognostic significance of lymph node dissection on stage-specific survival for patients with primary small intestine tumor treated with enterectomy: A population-based study, 2004-2015

2020 ◽  
Author(s):  
Yifei Chen ◽  
Fei He ◽  
Dan Guo ◽  
Yarui Li ◽  
Ruhua Wang ◽  
...  
Keyword(s):  
Small Intestine ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cox Regression ◽  
Cox Model ◽  
Prognostic Significance ◽  
Survival Curves ◽  
Small Bowel Tumors ◽  
Kaplan Meier ◽  
Better Than

Abstract Background: The positive rate of lymph node detection(LND) can be used as a predictor of prognosis for patients undergoing radical resection of small bowel tumors; thorough local LND may be crucial for the accurate staging and management of the disease.The purpose of our study was to determine the effect of the LND in specific stages. Methods: This study included 5413 patients with primary small intestine tumors after enterectomy within SEER database from 2004-2015. A multivariable COX model and Kaplan-Meier plots survival curves were used to analyze survival.Results: Of the 5413 patients, 4675(86.4%) underwent lymphadenectomy, and 3896(72.0%) were moved 4 or more than 4 lymph nodes. LND was performed in 67.8%, 83.3%, 87.9%, 89.3% in pT1/2/3/4 disease. In multivariable Cox regression analyses, LND was associated with OS and CSS, and the extended LND are better than limited LND (all P<0.05 except pT2). Kaplan-Meier plots survival curves showed that LND can benefit patients.Conclusions: The removal of LND with 4 or more lymph nodes in pT1/3/4 patients has relatively obvious benefits for survival. The effect of LND with more lymph nodes is significantly better than limited LND. For pT1, pT3 and pT4, LND can be considered.

Esophageal Cancer: The Mode of Lymphatic Tumor Cell Spread and Its Prognostic Significance

2001 ◽  
Vol 19 (7) ◽  
pp. 1970-1975 ◽  
Author(s):  
Stefan B. Hosch ◽  
Nikolas H. Stoecklein ◽  
U. Pichlmeier ◽  
Alexander Rehders ◽  
Peter Scheunemann ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Staging System ◽  
Esophageal Resection ◽  
Cox Regression Analysis ◽  
Frequent Event ◽  
Skip Metastases

PURPOSE: Data on skip metastases and their significance are lacking for esophageal cancer. This issue is important to determine the extent of lymphadenectomy for esophageal resection. In this study we examined the lymphatic spread in esophageal cancer by routine histopathology and by immunohistochemistry.PATIENTS AND METHODS: A total of 1,584 resected lymph nodes were obtained from 86 patients with resected esophageal carcinoma and evaluated by routine histopathology. Additionally, frozen tissue sections of 540 lymph nodes classified as tumor-free by routine histopathology were screened for micrometastases by immunohistochemistry with the monoclonal antibody Ber-EP4. The lymph nodes were mapped according to the mapping scheme of the American Thoracic Society modified by Casson et al.RESULTS: Forty-four patients (51%) had pN1 disease, and 61 patients (71%) harbored lymphatic micrometastases detected by immunohistochemistry. Skip metastases detected by routine histopathology were present in 34% of pN1 patients. Skipping of micrometastases detected by immunohistochemistry was found in 66%. The presence of micrometastases was associated with a significantly decreased relapse-free and overall survival (56.0 v 10.0 months and > 64 v 15 months, P < .0001 and P = .004, respectively). Cox regression analysis revealed the independent prognostic influence of micrometastases in lymph nodes. Lymph node skipping had no significant independent prognostic influence on survival.CONCLUSION: Histopathologically and immunohistochemically detectable skip metastases are a frequent event in esophageal cancer. Only extensive lymph node sampling, in conjunction with immunohistochemical evaluation, will lead to accurate staging. An improved staging system is essential for more individualized adjuvant therapy.

scholarly journals Overexpression of HOXA10 is associated with unfavorable prognosis of acute myeloid leukemia

2020 ◽  
Author(s):  
Chao Guo ◽  
Qian-qian Ju ◽  
Chun-xia Zhang ◽  
Ming Gong ◽  
Zhen-ling Li ◽  
...  
Keyword(s):  
Cox Regression ◽  
Cox Model ◽  
Prognostic Significance ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
High Group ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
The Impact

Abstract Background HOXA family genes were crucial transcription factors involving cell proliferation and apoptosis. While few studies have focused on HOXA10 in AML. We aimed to investigate the prognostic significance of HOXA10. Methods We downloaded datasets from GEO and BeatAML database, to compare HOXA expression level between AML patients and controls. Kaplan-Meier curves were used to estimate the impact of HOXA10 expression on AML survival. The differentially expressed genes, miRNAs, lncRNAs and methylated regions between HOXA10-high and -low groups were obtained using R (version 3.6.0). Accordingly, the gene set enrichment analysis (GSEA) was accomplished using MSigDB database. Moreover, the regulatory TFs/microRNAs/lncRNAs of HOXA10 were identified. A LASSO-Cox model fitted OS to clinical and HOXA10-associated genetic variables by glmnet package. Results HOXA10 was overexpressed in AML patients than that in controls. The HOXA10-high group is significantly associated with shorter OS and DFS. A total of 1219 DEGs, 131 DEmiRs, 282 DElncRs were identified to be associated with HOXA10. GSEA revealed that 12 suppressed and 3 activated pathways in HOXA10-high group. Furthermore, the integrated regulatory network targeting HOXA10 was established. The LASSO-Cox model fitted OS to AML-survival risk scores, which included age, race, molecular risk, expression of IKZF2/LINC00649/LINC00839/FENDRR and has-miR-424-5p. The time dependent ROC indicated a satisfying AUC (1-year AUC 0.839, 3-year AUC 0.871 and 5-year AUC 0.813). Conclusions Our study identified HOXA10 overexpression as an adverse prognostic factor for AML. The LASSO-COX regression analysis revealed novel prediction model of OS with superior diagnostic utility.

scholarly journals LINC00649 underexpression is an adverse prognostic marker in acute myeloid leukemia

2020 ◽  
Author(s):  
Chao Guo ◽  
Ya-yue Gao ◽  
Qian-qian Ju ◽  
Chun-xia Zhang ◽  
Ming Gong ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Prognostic Marker ◽  
Prediction Models ◽  
Cox Regression ◽  
Cox Model ◽  
Pearson Correlation ◽  
Prognostic Significance ◽  
Control Group ◽  
Cpg Sites ◽  
Kaplan Meier

Abstract Background Long noncoding RNAs (lncRNA) play a role in leukemogenesis, maintenance, development, and therapeutic resistance of AML. While few studies have focused on the prognostic significance of LINC00649 in AML, which we aim to investigate in this present study. Methods We compared the expression level of LINC00649 between AML patients and healthy controls. The Kaplan-Meier curves of AML patients expressing high versus low level of LINC00649 was performed. The LINC00649 correlated genes/miRNAs/lncRNAs and methylation CpG sites were screened by Pearson correlation analysis with R (version 3.6.0), using TCGA-LAML database. The LINC00649 associated ceRNA network was established using lncBase 2.0 and miRWalk 2.0 online tools, combining results from correlation analysis. Finally, a prediction model was constructed using LASSO-Cox regression. Results LINC00649 was underexpressed in bone marrow of AML group than that in healthy control group. The patients of LINC00649-low group have significantly inferior PFS and OS. A total of 154 mRNAs, 31 miRNAs, 28 lncRNAs and 1590 methylated CpG sites were identified to be significantly correlated with LINC00649. Furthermore, the network of ceRNA was established with 6 miRNAs and 122 mRNAs. The Lasso-Cox model fitted OS/PFS to novel prediction models, which integrated clinical factors, ELN risk stratification, mRNA/miRNA expression and methylation profiles. The analysis of time-dependent ROC for our model showed a superior AUC (AUC = 0.916 at 1 year, AUC = 0.916 at 3 years, and AUC = 0.891 at 5 years). Conclusions Low expression of LINC00649 is a potential unfavorable prognostic marker for AML patients, which requires the further validation. The analysis by LASSO-COX regression identified a novel comprehensive model with a superior diagnostic utility, which integrated clinical and genetic variables.

scholarly journals LINC00649 underexpression is an adverse prognostic marker in acute myeloid leukemia

2020 ◽  
Author(s):  
Chao Guo ◽  
Ya-yue Gao ◽  
Qian-qian Ju ◽  
Chun-xia Zhang ◽  
Ming Gong ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Prognostic Marker ◽  
Prediction Models ◽  
Cox Regression ◽  
Cox Model ◽  
Pearson Correlation ◽  
Prognostic Significance ◽  
Control Group ◽  
Cpg Sites ◽  
Kaplan Meier

Abstract Background Long noncoding RNAs (lncRNA) play a role in leukemogenesis, maintenance, development, and therapeutic resistance of AML. While few studies have focused on the prognostic significance of LINC00649 in AML, which we aim to investigate in this present study. Methods We compared the expression level of LINC00649 between AML patients and healthy controls. The Kaplan-Meier curves of AML patients expressing high versus low level of LINC00649 was performed. The LINC00649 correlated genes/miRNAs/lncRNAs and methylation CpG sites were screened by Pearson correlation analysis with R (version 3.6.0), using TCGA-LAML database. The LINC00649 associated ceRNA network was established using lncBase 2.0 and miRWalk 2.0 online tools, combining results from correlation analysis. Finally, a prediction model was constructed using LASSO-Cox regression. Results LINC00649 was underexpressed in bone marrow of AML group than that in healthy control group. The patients of LINC00649-low group have significantly inferior PFS and OS. A total of 154 mRNAs, 31 miRNAs, 28 lncRNAs and 1590 methylated CpG sites were identified to be significantly correlated with LINC00649. Furthermore, the network of ceRNA was established with 6 miRNAs and 122 mRNAs. The Lasso-Cox model fitted OS/PFS to novel prediction models, which integrated clinical factors, ELN risk stratification, mRNA/miRNA expression and methylation profiles. The analysis of time-dependent ROC for our model showed a superior AUC (AUC = 0.916 at 1 year, AUC = 0.916 at 3 years, and AUC = 0.891 at 5 years). Conclusions Low expression of LINC00649 is a potential unfavorable prognostic marker for AML patients, which requires the further validation. The analysis by LASSO-COX regression identified a novel comprehensive model with a superior diagnostic utility, which integrated clinical and genetic variables.

scholarly journals LINC00649 Underexpression is an Adverse Prognostic Marker in Acute Myeloid Leukemia

2020 ◽  
Author(s):  
Chao Guo ◽  
Ya-yue Gao ◽  
Qian-qian Ju ◽  
Chun-xia Zhang ◽  
Ming Gong ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Prognostic Marker ◽  
Prediction Models ◽  
Cox Regression ◽  
Cox Model ◽  
Pearson Correlation ◽  
Prognostic Significance ◽  
Control Group ◽  
Cpg Sites ◽  
Kaplan Meier

Abstract Background long noncoding RNAs (lncRNA) play a role in leukemogenesis, maintenance, development, and therapeutic resistance of AML. While few studies have focused on the prognostic significance of LINC00649 in AML, which we aim to investigate in this present study.Methods We compared the expression level of LINC00649 between AML patients and healthy controls. The Kaplan-Meier curves of AML patients expressing high versus low level of LINC00649 was performed. The LINC00649 correlated genes/miRNAs/lncRNAs and methylation CpG sites were screened by Pearson correlation analysis with R (version 3.6.0), using TCGA-LAML database. The LINC00649 associated ceRNA network was established using lncBase 2.0 and miRWalk 2.0 online tools, combining results from correlation analysis. Finally, a prediction model was constructed using LASSO-Cox regression.Results LINC00649 was underexpressed in bone marrow of AML group than that in healthy control group. The patients of LINC00649-low group have significantly inferior PFS and OS. A total of 154 mRNAs, 31 miRNAs, 28 lncRNAs and 1590 methylated CpG sites were identified to be significantly correlated with LINC00649. Furthermore, the network of ceRNA was established with 6 miRNAs and 122 mRNAs. The Lasso-Cox model fitted OS/PFS to novel prediction models, which integrated clinical factors, ELN risk stratification, mRNA/miRNA expression and methylation profiles. The analysis of time-dependent ROC for our model showed a superior AUC (AUC = 0.916 at 1 year, AUC = 0.916 at 3 years, and AUC = 0.891 at 5 years).Conclusions Low expression of LINC00649 is an unfavorable prognostic marker for AML patients. The analysis by LASSO-COX regression identified a novel comprehensive model with a superior diagnostic utility, which integrated clinical and genetic variables.

scholarly journals Systemic Immune-Inflammation Index Is a Prognostic Predictor in Patients with Intrahepatic Cholangiocarcinoma Undergoing Liver Transplantation

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ao Ren ◽  
Zhongqiu Li ◽  
Pengrui Cheng ◽  
Xuzhi Zhang ◽  
Ronghai Deng ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Intrahepatic Cholangiocarcinoma ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Regression Analyses ◽  
Survival Curves ◽  
Prognostic Predictor ◽  
Kaplan Meier ◽  
Immune Inflammation

Background. It was reported that systemic immune inflammation index (SII) was related to poor prognosis in a variety of cancers. We aimed to investigate the ability of the prognostic predictors of SII in patients with intrahepatic cholangiocarcinoma (iCCA) undergoing liver transplantation (LT). Methods. The 28 iCCA patients who underwent LT at our hospital between 2013 and 2018 were reviewed. Kaplan–Meier survival curves and Cox regression analyses were used to evaluate the prognostic significance of SII. Patients were divided into the high and low SII groups according to the cut-off value. Results. The 1-, 3-, and 5-year OS rates were significantly lower in the high SII group (85.7%, 28.6%, and 21.4%, respectively) than in the low SII group (92.9%, 71.4%, and 57.2%, respectively; P = 0.009 ). The 1-, 3-, and 5-year RFS rates were, respectively, 57.1%, 32.7%, and 21.8% in the high SII group and 85.7%, 61.1%, and 61.1% in the low SII group ( P = 0.021 ). SII ≥ 447.48 × 10 9/L (HR 0.273, 95% CI 0.082–0.908; P = 0.034 ) was an independent prognostic factor for OS. Conclusions. Our results showed that SII can be used to predict the survival of patients with iCCA who undergo LT.

scholarly journals Overexpression of HOXA10 is associated with unfavorable prognosis of acute myeloid leukemia

2020 ◽  
Author(s):  
Chao Guo ◽  
Qian-qian Ju ◽  
Chun-xia Zhang ◽  
Ming Gong ◽  
Zhen-ling Li ◽  
...  
Keyword(s):  
Cox Regression ◽  
Cox Model ◽  
Prognostic Significance ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
High Group ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
The Impact

Abstract Background HOXA family genes were crucial transcription factors involving cell proliferation and apoptosis. While few studies have focused on HOXA10 in AML. We aimed to investigate the prognostic significance of HOXA10. Methods We downloaded datasets from GEO and BeatAML database, to compare HOXA expression level between AML patients and controls. Kaplan-Meier curves were used to estimate the impact of HOXA10 expression on AML survival. The differentially expressed genes, miRNAs, lncRNAs and methylated regions between HOXA10-high and -low groups were obtained using R (version 3.6.0). Accordingly, the gene set enrichment analysis (GSEA) was accomplished using MSigDB database. Moreover, the regulatory TFs/microRNAs/lncRNAs of HOXA10 were identified. A LASSO-Cox model fitted OS to clinical and HOXA10-associated genetic variables by glmnet package. Results HOXA10 was overexpressed in AML patients than that in controls. The HOXA10-high group is significantly associated with shorter OS and DFS. A total of 1219 DEGs, 131 DEmiRs, 282 DElncRs were identified to be associated with HOXA10. GSEA revealed that 12 suppressed and 3 activated pathways in HOXA10-high group. Furthermore, the integrated regulatory network targeting HOXA10 was established. The LASSO-Cox model fitted OS to AML-survival risk scores, which included age, race, molecular risk, expression of IKZF2/LINC00649/LINC00839/FENDRR and has-miR-424-5p. The time dependent ROC indicated a satisfying AUC (1-year AUC 0.839, 3-year AUC 0.871 and 5-year AUC 0.813). Conclusions Our study identified HOXA10 overexpression as an adverse prognostic factor for AML. The LASSO-COX regression analysis revealed novel prediction model of OS with superior diagnostic utility.

scholarly journals The sentinel node invasion level (SNIL) as a prognostic parameter in melanoma

2021 ◽  
Author(s):  
Lutz Kretschmer ◽  
Christina Mitteldorf ◽  
Simin Hellriegel ◽  
Andreas Leha ◽  
Alexander Fichtner ◽  
...  
Keyword(s):  
Lymph Node ◽  
Prognostic Significance ◽  
Tumor Burden ◽  
Recurrence Rates ◽  
Cox Models ◽  
Nodal Basin ◽  
Lymph Vessels ◽  
Kaplan Meier ◽  
Metastasis Patterns ◽  
Transverse Sinuses

AbstractSentinel lymph node (SN) tumor burden is becoming increasingly important and is likely to be included in future N classifications in melanoma. Our aim was to investigate the prognostic significance of melanoma infiltration of various anatomically defined lymph node substructures. This retrospective cohort study included 1250 consecutive patients with SN biopsy. The pathology protocol required description of metastatic infiltration of each of the following lymph node substructures: intracapsular lymph vessels, subcapsular and transverse sinuses, cortex, paracortex, medulla, and capsule. Within the SN with the highest tumor burden, the SN invasion level (SNIL) was defined as follows: SNIL 1 = melanoma cells confined to intracapsular lymph vessels, subcapsular or transverse sinuses; SNIL 2 = melanoma infiltrating the cortex or paracortex; SNIL 3 = melanoma infiltrating the medulla or capsule. We classified 338 SN-positive patients according to the non-metric SNIL. Using Kaplan–Meier estimates and Cox models, recurrence-free survival (RFS), melanoma-specific survival (MSS) and nodal basin recurrence rates were analyzed. The median follow-up time was 75 months. The SNIL divided the SN-positive population into three groups with significantly different RFS, MSS, and nodal basin recurrence probabilities. The MSS of patients with SNIL 1 was virtually identical to that of SN-negative patients, whereas outgrowth of the metastasis from the parenchyma into the fibrous capsule or the medulla of the lymph node indicated a very poor prognosis. Thus, the SNIL may help to better assess the benefit-risk ratio of adjuvant therapies in patients with different SN metastasis patterns.

Expression and Clinical Significance of Serum Exosomal miR-375 in Patients with Gastric Cancer

2021 ◽  
Vol 7 (5) ◽  
pp. 3896-3904
Author(s):  
Daoting Deng ◽  
Hong Zhang ◽  
Junxi Liu ◽  
Lina Ma ◽  
Xinrui Lei ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Cox Regression Analysis ◽  
Healthy Group ◽  
Cancer Group ◽  
Kaplan Meier ◽  
Gastric Cancer Patients ◽  
Gastric Cancer Group

To explore exosomal miR-375 expression in gastric cancer patients and its relationship with patient prognosis. A total of 53 patients diagnosed with gastric cancer in our hospital from May 2014 to May 2016 were included as the gastric cancer group, and 46 healthy women who came to our hospital for physical examination during the same period were enrolled as the healthy group. Exosomal miR-375 expression level was detected using qRT-PCR, and the diagnostic performance and prognostic significance of exosomal miR-375 in gastric cancer were explored. The gastric cancer group showed increased exosomal miR-375 expression than the healthy group (P< 0.05); Kaplan-Meier survival analysis exhibited that serum exosomal miR-375 has an AUC of 0.778, sensitivity of 69.57%, and specificity of 75.47%, whereas Cox regression analysis showed that the miR-375 expression in exosomes was an independent risk factor affecting the prognosis of gastric cancer patients (P< 0.05). Patient with gastric cancer showed upregulated miR-375 expression in serum exosomes. Serum exosomal miR-375 was found to has positive sensitivity and specificity in the diagnosis of gastric cancer, which may be associated with poor prognosis of gastric cancer patients.

Down-regulation of miR-219-5p increase the risk of cancer-related mortality in patients with prostate cancer

2021 ◽  
pp. postgradmedj-2021-139981
Author(s):  
Shimin Tang ◽  
Hao Jiang ◽  
Zhijun Cao ◽  
Qiang Zhou
Keyword(s):  
Prostate Cancer ◽  
Prediction Model ◽  
Cancer Patients ◽  
Cox Regression ◽  
Cox Model ◽  
Risk Of Death ◽  
Kaplan Meier ◽  
Risk Of Progression ◽  
Patient Prognosis ◽  
Risk Of Cancer

IntroductionProstate cancer is a common malignancy in men that is difficult to treat and carries a high risk of death. miR-219-5p is expressed in reduced amounts in many malignancies. However, the prognostic value of miR-219-5p for patients with prostate cancer remains unclear.MethodsWe retrospectively analysed data from 213 prostate cancer patients from 10 June 2012 to 9 May 2015. Overall survival was assessed by Kaplan-Meier analysis and Cox regression models. Besides, a prediction model was constructed, and calibration curves evaluated the model’s accuracy.ResultsOf the 213 patients, a total of 72 (33.8%) died and the median survival time was 60.0 months. We found by multifactorial analysis that miR-219-5p deficiency increased the risk of death by nearly fourfold (HR: 3.86, 95% CI): 2.01 to 7.44, p<0.001) and the risk of progression by twofold (HR: 2.79, 95% CI: 1.68 to 4.64, p<0.001). To quantify each covariate’s weight on prognosis, we screened variables by cox model to construct a predictive model. The Nomogram showed excellent accuracy in estimating death’s risk, with a corrected C-index of 0.778.ConclusionsmiR-219-5p can be used as a biomarker to predict death risk in prostate cancer patients. The mortality risk prediction model constructed based on miR-219-5p has good consistency and validity in assessing patient prognosis.

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