A Nomogram for Predicting Disease-specific Survival After Hepatic Resection for Metastatic Colorectal Cancer

2008 ◽  
Vol 248 (1) ◽  
pp. 142
Author(s):  
Michael W. Kattan ◽  
Yuman Fong
Keyword(s):  
Colorectal Cancer ◽  
Hepatic Resection ◽  
Metastatic Colorectal Cancer ◽  
Disease Specific Survival ◽  
Disease Specific

A Nomogram for Predicting Disease-specific Survival After Hepatic Resection for Metastatic Colorectal Cancer

2008 ◽  
Vol 247 (2) ◽  
pp. 282-287 ◽  
Author(s):  
Michael W. Kattan ◽  
Mithat Gönen ◽  
William R. Jarnagin ◽  
Ronald DeMatteo ◽  
Michael DʼAngelica ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Hepatic Resection ◽  
Metastatic Colorectal Cancer ◽  
Disease Specific Survival ◽  
Disease Specific

scholarly journals Transcriptome of Tumor-Infiltrating T Cells in Colorectal Cancer Patients Uncovered a Unique Gene Signature in CD4+ T Cells Associated with Poor Disease-Specific Survival

Vaccines ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 334
Author(s):  
Salman M. Toor ◽  
Varun Sasidharan Nair ◽  
Reem Saleh ◽  
Rowaida Z. Taha ◽  
Khaled Murshed ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
T Cells ◽  
T Cell Activation ◽  
Cd4 T Cells ◽  
Poor Prognosis ◽  
Gene Signature ◽  
The Cancer Genome Atlas ◽  
Disease Specific Survival ◽  
Unique Gene ◽  
Disease Specific

Colorectal cancer (CRC) is influenced by infiltration of immune cell populations in the tumor microenvironment. While elevated levels of cytotoxic T cells are associated with improved prognosis, limited studies have reported associations between CD4+ T cells and disease outcomes. We recently performed transcriptomic profiling and comparative analyses of sorted CD4+ and CD8+ tumor-infiltrating lymphocytes (TILs) from bulk tumors of CRC patients with varying disease stages. In this study, we compared the transcriptomes of CD4+ with CD8+ TILs. Functional annotation pathway analyses revealed the downregulation of inflammatory response-related genes, while T cell activation and angiogenesis-related genes were upregulated in CD4+ TILs. The top 200 deregulated genes in CD4+ TILs were aligned with the cancer genome atlas (TCGA) CRC dataset to identify a unique gene signature associated with poor prognosis. Moreover, 69 upregulated and 20 downregulated genes showed similar trends of up/downregulation in the TCGA dataset and were used to calculate “poor prognosis score” (ppScore), which was significantly associated with disease-specific survival. High ppScore patients showed lower expression of Treg-, Th1-, and Th17-related genes, and higher expression of Th2-related genes. Our data highlight the significance of T cells within the TME and identify a unique candidate prognostic gene signature for CD4+ TILs in CRC patients.

scholarly journals Chemotherapy-Induced Splenic Volume Increase Is Independently Associated with Major Complications after Hepatic Resection for Metastatic Colorectal Cancer

2015 ◽  
Vol 220 (3) ◽  
pp. 271-280 ◽  
Author(s):  
Amber L. Simpson ◽  
Julie N. Leal ◽  
Amudhan Pugalenthi ◽  
Peter J. Allen ◽  
Ronald P. DeMatteo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Hepatic Resection ◽  
Metastatic Colorectal Cancer ◽  
Splenic Volume ◽  
Volume Increase ◽  
Major Complications

Analysis of Prognostic Factors Influencing Long-term Survival After Hepatic Resection for Metastatic Colorectal Cancer

2007 ◽  
Vol 32 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Marcella Arru ◽  
Luca Aldrighetti ◽  
Renato Castoldi ◽  
Saverio Di Palo ◽  
Elena Orsenigo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Factors ◽  
Hepatic Resection ◽  
Metastatic Colorectal Cancer ◽  
Term Survival ◽  
Long Term Survival ◽  
Factors Influencing

scholarly journals Change in circulating tumor DNA after hepatic resection for metastatic colorectal cancer

HPB ◽  
2018 ◽  
Vol 20 ◽  
pp. S25
Author(s):  
R.R. Narayan ◽  
M.L. Babicky ◽  
D.A. Goldman ◽  
M. Gonen ◽  
P.J. Allen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Hepatic Resection ◽  
Metastatic Colorectal Cancer ◽  
Circulating Tumor Dna ◽  
Tumor Dna

scholarly journals Prognostic Impact of the Number of Examined Lymph Nodes in Stage II Colorectal Adenocarcinoma: A Retrospective Study

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Purun Lei ◽  
Ying Ruan ◽  
Jianpei Liu ◽  
Qixian Zhang ◽  
Xiao Tang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Stage Ii ◽  
Lymph Node Status ◽  
Stage Migration ◽  
Prognostic Impact ◽  
Disease Specific Survival ◽  
Stage Ii Colorectal Cancer ◽  
Disease Specific

Background. Evaluation of lymph node status is critical in colorectal carcinoma (CRC) treatment. However, as patients with node involvement may be incorrectly classified into earlier stages if the examined lymph node (ELN) number is too small and escape adjuvant therapy, especially for stage II CRC. The aims of this study were to assess the impact of the ELN on the survival of patients with stage II colorectal cancer and to determine the optimal number. Methods. Data from the US Surveillance, Epidemiology, and End Results (SEER) database on stage II resected CRC (1988-2013) were extracted for mathematical modeling as ELN was available since 1988. Relationship between ELN count and stage migration and disease-specific survival was analyzed by using multivariable models. The series of the mean positive LNs, odds ratios (ORs), and hazard ratios (HRs) were fitted with a LOWESS (Locally Weighted Scatterplot Smoothing) smoother, and the structural break points were determined by the Chow test. An independent cohort of cases from 2014 was retrieved for validation in 5-year disease-specific survival (DSS). Results. An increased ELN count was associated with a higher possibility of metastasis LN detection (OR 1.010, CI 1.009-1.011, p<0.001) and better DSS in LN negative patients (OR 0.976, CI 0.975-0.977, p<0.001). The cut-off point analysis showed a threshold ELN count of 21 nodes (HR 0.692, CI 0.667-0.719, p<0.001) and was validated with significantly better DSS in the SEER 2009 cohort CRC (OR 0.657, CI 0.522-0.827, p<0.001). The cut-off value of the ELN count in site-specific surgeries was analyzed as 20 nodes in the right hemicolectomy (HR 0.674, CI 0.638-0.713, p<0.001), 19 nodes in left hemicolectomy (HR 0.691, CI 0.639-0.749, p<0.001), and 20 nodes in rectal resection patients (HR 0.671, CI 0.604-0.746, p<0.001), respectively. Conclusions. A higher number of ELNs are associated with more-accurate node staging and better prognosis in stage II CRCs. We recommend that at least 21 lymph nodes be examined for accurate diagnosis of stage II colorectal cancer.

From scratch: developing a hepatic resection service for metastatic colorectal cancer

2016 ◽  
Vol 88 (5) ◽  
pp. E377-E381
Author(s):  
Neil Wylie ◽  
Phillip Hider ◽  
Delwyn Armstrong ◽  
Kheman Rajkomar ◽  
Sanket Srinivasa ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Hepatic Resection ◽  
Metastatic Colorectal Cancer

scholarly journals The Prognostic Significance of Tumor Deposit Count for Colorectal Cancer Patients after Radical Surgery

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Kuo Zheng ◽  
Nanxin Zheng ◽  
Cheng Xin ◽  
Leqi Zhou ◽  
Ge Sun ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Value ◽  
Validation Cohort ◽  
Cutoff Point ◽  
Disease Specific Survival ◽  
Optimal Cutoff ◽  
Training Cohort ◽  
Tumor Deposit ◽  
Optimal Cutoff Point ◽  
Disease Specific

Background. The prognostic value of tumor deposit (TD) count in colorectal cancer (CRC) patients has been rarely evaluated. This study is aimed at exploring the prognostic value of TD count and finding out the optimal cutoff point of TD count to differentiate the prognoses of TD-positive CRC patients. Method. Patients diagnosed with CRC from Surveillance, Epidemiology, and End Results (SEER) database from January 1, 2010, to December 31, 2012, were analyzed. X-tile program was used to identify the optimal cutoff point of TD count in training cohort, and a validation cohort was used to test this cutoff point after propensity score matching (PSM). Univariate and multivariate Cox proportional hazard models were used to assess the risk factors of survival. Results. X-tile plots identified 3 (P<0.001) as the optimal cutoff point of TD count to divide the patients of training cohort into high and low risk subsets in terms of disease-specific survival (DSS). This cutoff point was validated in validation cohort before and after PSM (P<0.001, P=0.002). More TD count, which was defined as more than 3, was validated as an independent risk prognostic factor in univariate and multivariate analysis (P<0.001). Conclusion. More TD count (TD count≥4) was significantly associated with poor disease-specific survival in CRC patients.

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