The “effect” of T classification on colorectal liver metastasis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15049-e15049
Author(s):  
Lunpo Wu ◽  
Hongjuan Zheng ◽  
Jianfei Fu ◽  
Jinlin Du ◽  
Shu Zheng ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Predictive Accuracy ◽  
Assessment Model ◽  
Discriminative Ability ◽  
Cox Models ◽  
Tissue Samples ◽  
Kaplan Meier ◽  
Cox Analysis ◽  
T Classification

e15049 Background: T classification is considered as a detail and credible category of the depth of tumor invasion. Generally, with the increasing T category, the risk of metastases should be continuously rising. However, there is a group of metastatic patients with early T classification, who were supposed to have a low metastatic probability. Our study aims to present the T classification on metastatic liver colorectal cancer (CRLM) in both clinical and biological aspects, and explore preoperative predictions to develop a convenient individual assessment model for clinicians to speculate whether these patients, whose prognosis is extremely poor. Methods: Tissue samples of primary colorectal cancer were obtained at our center. Patients with CRLM during 2010 to 2014 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Kaplan-Meier and Cox models were used to analyze the survival differences. We identified preoperative prognostic factors based on the Cox analysis and constructed a nomogram model. The predictive accuracy and discriminative ability were measured by concordance index (C-index) and calibration curve. Results: The mRNA array from our hospital showed that there is an obvious difference between the T1/2N0M1 subgroup and the T3/4N0M1 subgroup. Patients with early T classification (T1) were more often have tumors located in rectum, with well differentiation, with no lymph node metastasis and a higher CEA level. Further survival analysis indicated that early T classification (T1) was an independent prognostic factor with poorer survival. When the lymph node (N) status was taken into consideration, patients with T1 N+ had an obvious better survival than T1 N0 patients. A clinical nomogram was constructed based on preoperative factors. The calibration curves for probability of 1-, 2-, and 5-year overall survival showed a good agreement between nomogram prediction and actual observation. Conclusions: The prognosis of T1M1 is extremely poorer than T3/4M1. The prognosis of T1N+ is better than T1N0. It is time to pay more attention to the high-risk monitoring and screening of T1 in early colon cancer.

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.

scholarly journals Development and validation of nomogram based on SIRI for predicting the clinical outcome in patients with nasopharyngeal carcinomas

2018 ◽  
Vol 67 (3) ◽  
pp. 691-698 ◽  
Author(s):  
Yuan Chen ◽  
Wenjie Jiang ◽  
Dan Xi ◽  
Jun Chen ◽  
Guoping Xu ◽  
...  
Keyword(s):  
Predictive Accuracy ◽  
Peripheral Lymphocyte ◽  
Clinicopathological Parameters ◽  
Concordance Index ◽  
Tumor Node Metastasis ◽  
Discriminative Ability ◽  
Node Metastasis ◽  
Kaplan Meier ◽  
Treatment Plans ◽  
Development And Validation

The Systemic Inflammation Response Index (SIRI), based on peripheral lymphocyte, neutrophil, and monocyte counts, was recently investigated as a prognostic marker for several tumors. However, use of the SIRI has not been reported for nasopharyngeal carcinoma (NPC). We evaluated the prognostic value of the SIRI in primary and validation cohorts. We also established an effective prognostic nomogram for NPC based on clinicopathological parameters and the SIRI. The predictive accuracy and discriminative ability of the nomogram were determined using the concordance index (C-index) and a calibration curve and were compared with tumor-node-metastasis classifications. Our Kaplan-Meier survival analysis results showed that the SIRI was associated with the overall survival of patients with NPC in the primary and validation cohorts. The SIRI was identified to be an independent prognostic factor for NPC. In addition, we developed and validated a new prognostic nomogram that integrated clinicopathological factors and the SIRI. This nomogram can efficiently predict the prognosis of patients with NPC. The SIRI is a novel, simple and inexpensive prognostic predictor for patients with NPC. The SIRI has important value for predicting the prognosis of patients with NPC and developing individualized treatment plans.

scholarly journals Development of a Ferroptosis-Related lncRNA Signature to Predict the Prognosis and Immune Landscape of Bladder Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Ranran Zhou ◽  
Jingjing Liang ◽  
Hu Tian ◽  
Qi Chen ◽  
Cheng Yang ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Risk Model ◽  
Assessment Model ◽  
Chemotherapy Sensitivity ◽  
Immune Infiltration ◽  
Differential Coexpression ◽  
Prognostic Assessment ◽  
Kaplan Meier ◽  
Cox Analysis ◽  
Tight Correlation

The tight relationship between ferroptotic cell death and immune response demonstrated by recent studies enlightened us to detect the underlying roles of ferroptosis-related long noncoding RNAs (frlncRNAs) in the tumor microenvironment of bladder cancer (BCa). We collected 121 ferroptosis regulators from previous studies. Based on their expression values, 408 cases with BCa were clustered. The patients in different clusters showed diverse immune infiltration, immunotherapy response, and chemotherapy effectiveness, revalidating the tight correlation with ferroptosis and tumor immunity. Through differential, coexpression, Kaplan-Meier, Lasso, and Cox analysis, we developed a 22-lncRNA-pair signature to predict the prognosis of BCa based on gene-pair strategy, where there is no need for definite expression values. The areas under the curves are all over 0.8. The risk model also helped to predict immune infiltration, immunotherapeutic outcomes, and chemotherapy sensitivity. Totally, the prognostic assessment model indicated a promising predictive value, also providing clues for the interaction between ferroptosis and BCa immunity.

scholarly journals Comparison of non-schistosomal colorectal cancer and schistosomal colorectal cancer

2020 ◽  
Author(s):  
Weixia Wang ◽  
Kui Lu ◽  
Limei Wang ◽  
Hongyan Jing ◽  
Weiyu Pan ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Clinical Stage ◽  
Clinicopathological Features ◽  
Proportional Hazard ◽  
Node Metastasis ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Regression

Abstract Aim: The purpose of this study was to compare clinicopathological features of patients with non-schistosomal and schistosomal colorectal cancer to explore the effect of schistosomasis on CRC patients` clinical outcomes. Methods: 351 cases of CRC were retrospectively analyzed in this study. Survival curves were constructed by using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazard regression models were performed to identify associations with outcome variables.Results: Patients with schistosomiasis (CRC-S) were significantly older (Table 3, P＜0.001) than patients without schistosomiasis (CRC-NS). However, there were no significant differences between CRC-S and CRC-NS patients in other clinicopathological features. Schistosomiasis were associated with adverse overall survival upon K-M analysis (P=0.0277). By univariate and multivariate analysis, as shown in Table 2, gender (P=0.003), TNM stage (P＜0.001), schistosomiasis (P=0.025), lymphovascular invasion (P=0.030) and cancer node (P＜0.001) were all independent predictors in the whole cohort. When patients were stratified according to clinical stage and lymph node metastasis state. Schistosomiasis was also an independent predictors in patients with stage Ⅲ-Ⅳ tumors and in patients with lymph node metastasis, but not in patients with stage Ⅰ-Ⅱ tumors and in patients without lymph node metastasis.Conclusion: Schistosomiasis was significantly correlated with OS and it was an independent prognostic factor for OS in the whole cohort. When patients were stratified according to clinical stage and lymph node metastasis state, schistosomiasis was still an independent unfavorably prognosis factor for OS in patients with stage Ⅲ-Ⅳ tumors or patients with lymph node metastasis.

scholarly journals Rab27b Is a Potential Indicator for Lymph Node Metastasis and Unfavorable Prognosis in Lung Adenocarcinoma

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Louqian Zhang ◽  
Weifei Fan ◽  
Li Xu ◽  
Qixing Mao ◽  
Yan Chen ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lung Adenocarcinoma ◽  
Cell Lines ◽  
Tnm Stage ◽  
Tissue Samples ◽  
Node Metastasis ◽  
Kaplan Meier ◽  
Potential Indicator ◽  
One Step

Rab27b is reported to associate with the development and progression of several types of human cancers. However, the relationship between Rab27b expression and the clinical characteristics of lung adenocarcinoma (LUAD) is rarely explored. In this present study, the TCGA database was consulted, followed by one-step quantitative reverse transcription polymerase chain reaction (qPCR), Western blot, and immunohistochemistry (IHC) analyses in LUAD cell lines and tissue samples. Rab27b expression levels were statistically higher in LUAD cell lines and tissue samples compared with a noncancerous cell line and tissue samples (p<0.05). Rab27b expression was statistically correlated with lymph node metastasis (p=0.016) and TNM stage (p=0.019). Survival analysis and Kaplan-Meier curve revealed that Rab27b expression (p=0.006) and TNM stage (p=0.027) were independently associated with the unfavorable overall survival of patients with LUAD. These results indicate that high expression of Rab27b correlates with malignant attributes of LUAD and Rab27b may be identified as a potential indicator of metastasis and prognosis for LUAD.

scholarly journals Is there a relationship between length of resection and lymph-node ratio in colorectal cancer?

2020 ◽  
Author(s):  
Antonio Zanghì ◽  
Andrea Cavallaro ◽  
Emanuele Lo Menzo ◽  
Serena Curella Botta ◽  
Salvatore Lo Bianco ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Prognostic Value ◽  
Lymph Node Ratio ◽  
Statistical Significance ◽  
Resected Specimen ◽  
Metastatic Recurrence ◽  
Kaplan Meier ◽  
Node Ratio

Abstract Background The prognosis of colorectal cancer depends on the number of positive lymph nodes (LN+) and the total number of lymph nodes resected (rLN). This represents the lymph-node ratio (LNR). The aim of our study is to assess how the length of the resected specimen (RL) influences the prognostic values of the LNR. Methods We conducted a retrospective study of all the patients operated on for colorectal cancer from 2000 to 2015 at our institution. Pathology details were analysed. The total number of rLN, the number of LN+, and the LNR were calculated and measured against the RL. The receiver-operating characteristic (ROC) curve of patients with LN+ was calculated. Results Of the 670 patients included in our study, 337 were men (50.3%) and the mean age was 69.2 years. The correlation with prognosis of the LNR is greater than that of the LNR adjusted to RL (LNR/RL), both in subjects with positive nodes (n = 312) and in all cases (n = 670). The LNR presents a higher prognostic value than LNR/RL and RL in patients with LN+ except for metastatic recurrence, for which the predictive value appears slightly higher for LNR/RL. The statistical significance of the maximal divergence in Kaplan–Meier survival plots was demonstrated for the LNR (P = 0.043), not for LNR/RL (P = 0.373) and RL alone (P = 0.314). Conclusion An increase in RL causes an increase in the number of harvested lymph nodes without affecting the number of LN+, thus representing a confounding factor that could alter the prognostic value of the LNR. Prospective larger-scale studies are needed to confirm these findings.

scholarly journals A Novel Four-Gene Prognostic Signature as a Risk Biomarker in Cervical Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Jun Wang ◽  
Hua Zheng ◽  
Yatian Han ◽  
Geng Wang ◽  
Yanbin Li
Keyword(s):  
Cervical Cancer ◽  
Cox Regression ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Gene Signature ◽  
Gene Expression Omnibus ◽  
Prognostic Signature ◽  
Tissue Samples ◽  
Kaplan Meier ◽  
Cox Analysis

Background. Cervical cancer (CC) is a major malignancy affecting women worldwide, with limited treatment options for patients with advanced disease. The aim of this study was to identify novel prognostic biomarkers for CC. Methods. RNA-Seq data from four Gene Expression Omnibus datasets (GSE5787, GSE6791, GSE26511, and GSE63514) were used to identify differentially expressed genes (DEGs) between CC and normal cervical tissues. Functional and enrichment analyses of the DEGs were performed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The Oncomine database, Cytoscape software, and Kaplan-Meier survival analyses were used for in-depth screening of hub DEGs. The Cox regression was then used to develop a prognostic signature, which was in turn used to create a nomogram. Results. A total of 207 DEGs were identified in the tissue samples, eight of which were prognostically significant in terms of overall survival (OS). Thereafter, a novel four-gene signature consisting of DSG2, MMP1, SPP1, and MCM2 was developed and validated using stepwise Cox analysis. The area under the receiver operating characteristic (ROC) curve (AUC) values were 0.785, 0.609, and 0.686 in the training, verification, and combination groups, respectively. The protein expression levels of the four genes were well validated by the western blotting. Moreover, the nomogram analysis showed that a combination of this four-gene signature plus lymph node metastasis (LNM) status effectively predicted the 1- and 3-year OS probabilities of CC patients with accuracies of 69.01% and 83.93%, respectively. Conclusions. We developed a four-gene signature that can accurately predict the prognosis in terms of OS, of CC patients, and could be a valuable tool for designing treatment strategies.

scholarly journals Identification and Validation of a Five-lncRNA Signature Related to Glioma Using Bioinformatics Analysis

2020 ◽  
Author(s):  
Daofeng Tian ◽  
Haitao Liu ◽  
Pengfei Xu ◽  
Liguo Ye ◽  
Long Wang ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
Prognostic Indicator ◽  
High Risk Group ◽  
Survival Prediction ◽  
Kaplan Meier ◽  
Clinical Covariates ◽  
Non Coding Rnas ◽  
Cox Analysis

Abstract BackgroundTo accurately predict the prognosis of glioma patients. Methods and ResultsA total of 541 samples from the TCGA cohort and 181 observations from the CGGA database were included in our study. By weighted gene co-expression network analysis (WGCNA), 14 long non-coding RNAs (lncRNAs) associated with glioma grade were identified. Using univariate and multivariate Cox analysis Five lncRNAs (CYTOR, MIR155HG, LINC00641, AC120036.4 and PWAR6) were selected to develop the prognostic signature. The Kaplan-Meier curve depicted that the patients in high risk group had poor prognosis in both cohorts. The areas under the receiver operating characteristic curve of the signature in predicting the survival of glioma patients at 1, 3, and 5 years were 0.84, 0.92, and 0.90 in the CGGA cohort and 0.8, 0.85 and 0.77 in the TCGA set. Multivariate Cox analysis demonstrated that the five-lncRNA signature was an independent prognostic indicator in both sets (HR = 2.002, p < 0.001; HR = 1.243, p = 0.007, respectively). A nomogram including the lncRNAs signature and clinical covariates was constructed and demonstrated high predictive accuracy in predicting 1-, 3- and 5-year survival probability of glioma patients. ConclusionWe established a five-lncRNA signature as a potentially reliable tool for survival prediction of glioma patients.

Prognostic and predictive impact of primary tumor sidedness in first-line trials for advanced colorectal cancer: An analysis of 7,828 patients in the ARCAD database.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 188-188 ◽  
Author(s):  
Jun Yin ◽  
Romain Cohen ◽  
Zhaohui Jin ◽  
Heshan Liu ◽  
Levi Pederson ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Primary Tumor ◽  
Performance Status ◽  
Progression Free Survival ◽  
Hepatic Flexure ◽  
First Line ◽  
Cox Models ◽  
Colon Cancers ◽  
Kaplan Meier ◽  
Metastatic Sites

188 Background: Unplanned subgroup analyses from several studies have suggested primary tumor sidedness (PTS) as a potential prognostic and predictive parameter in metastatic colorectal cancer (mCRC). We aimed to investigate the prognostic and predictive impact of PTS on outcomes. Methods: PTS data of 7,828 mCRC patients (pts) from 10 first-line randomized trials in the ARCAD database were pooled. PTS was defined as right-sided (RS) or left-sided (LS) if tumor arose from the cecum to the hepatic flexure or from the splenic flexure to the rectum, respectively; transverse colon cancers were not included. Overall survival (OS) and progression-free survival (PFS) were assessed using Kaplan-Meier and Cox models adjusting for age, sex, performance status (PS), prior radiation/chemo, and stratified by treatment arm. Predictive value was tested by interaction term between PTS and treatment (anti-EGFR plus chemotherapy vs. chemotherapy alone). Results: Compared to RS pts (2407, 31%), LS pts (5421, 69%) had better OS (median: 21.6 v 16.8 mos; HRadj: 0.73, 95% CI 0.69-0.78, P < .001) and PFS (median 8.4 v 7.2 mos; HRadj: 0.81, 95% CI 0.76-0.86, P < .001). Results were consistent among subgroups defined by age, sex, PS, metastatic sites and chemo backbone (irinotecan- and oxaliplatin-based). Interaction between PTS and KRAS mutation was significant (Pinteraction< .001): LS is associated with better prognosis only among KRAS wild-type (wt) (HRadj: OS 0.62, 95% CI, 0.55-0.70; PFS 0.71, 95% CI 0.63-0.80), but not among KRAS mutated pts. Among KRAS wt pts, survival benefit from anti-EGFR was observed for LS, but not for RS (table). Conclusions: The prognostic value of PTS is restricted to the KRAS wt population. PTS is predictive of anti-EGFR efficacy, with a significant improvement of survival for LS mCRC pts. These results suggest treatment stratification in mCRC studies by both PTS and KRAS status. [Table: see text]

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