PTH-270 β-catenin expression in the primary tumour is associated with lymph node status in colorectal cancer

Gut ◽  
2015 ◽  
Vol 64 (Suppl 1) ◽  
pp. A530.1-A530
Author(s):  
J Evans ◽  
N Al-Khafaj ◽  
PA Sutton ◽  
D Bowden ◽  
PS Rooney ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Primary Tumour ◽  
Lymph Node Status ◽  
Node Status

Vascular emboli as a prognostic factor in patients with stage III colorectal cancer undergoing radical surgery.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 570-570
Author(s):  
Haiping Pei ◽  
Qian Pei ◽  
Hong Zhu ◽  
Fengbo Tan
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Lymph Node ◽  
Adjuvant Chemotherapy ◽  
Radical Surgery ◽  
Disease Free Survival ◽  
Stage Iii ◽  
Lymph Node Status ◽  
Node Status ◽  
Therapy Strategy

570 Background: The significance of vascular emboli (VE) in stage III colorectal cancer (CRC), the mechanism of their formation and their therapy strategy remain obscure demanding enhanced research. Methods: Data from 323 consecutive patients (192 non-VE, 131 VE) receiving radical surgery and adjuvant chemotherapy in our institution between Jan. 2009 and Nov. 2014 were retrospectively collected. The follow-up deadline was Feb. 2016. Potential prognostic risk factors were tested using univariate and multivariate survival analyses. mRNAs differentially expressed between VE and non-VE stage III CRC were analyzed using Agilent Gene Expression oligo-microarrays (Version 6.5). Patient-derived xenograft (PDX) nude mouse models were constructed to evaluate the efficacy of adjuvant chemotherapy plus targeted drugs (cetuximab or bevacizumab) on VE and non-VE stage III CRC. Results: VE was significantly associated with gross tumor morphology (p = 0.001), histologic type (p < 0.001), lymph node status (p < 0.001), sub-class of stage III (p =0.001), and serum CA199 level (p = 0.022). VE and lymph node status were independent risk factors for overall survival (OS) (p < 0.001, p = 0.008) and disease-free survival (DFS) (p < 0.001, p = 0.007). The median OS and DFS in VE stage III CRC patients were 38 months and 24 months, respectively. Compared with pericarcinous tissue, 809 genes (396 up-, 413 down-regulated) were differently expressed in no-VE tissue, and 1513 genes (898 up-, 615 down-regulated) in VE tissue. The top ten up-regulated protein-coding genes in VE stage III CRC were ITGBL1 (p<0.001), PROCR (p<0.001), CENPW (p<0.001), ZNF485 (p<0.001), VEGFA (p<0.001), DSG3 (p<0.001), CYP24A1 (p=0.001), COL10A1 (p=0.001), HIST3H2A (p=0.001)and PSAT1 (p=0.002). Conclusions: VE appears to be an independent risk factor for the prognosis of stage III CRC patients treated with radical surgery and adjuvant chemotherapy. Differently regulated genes seem to be involved in the formation and progress of VE. The therapy scheme should be more individualized taking into account the VE status.

The Impact of the Lymph Node Ratio is Greater than Traditional Lymph Node Status in Stage III Colorectal Cancer Patients

2013 ◽  
Vol 37 (8) ◽  
pp. 1927-1933 ◽  
Author(s):  
Yen-Jung Lu ◽  
Pei-Ching Lin ◽  
Chun-Chi Lin ◽  
Huann-Sheng Wang ◽  
Shung-Haur Yang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Cancer Patients ◽  
Lymph Node Ratio ◽  
Stage Iii ◽  
Lymph Node Status ◽  
Node Status ◽  
Node Ratio ◽  
Colorectal Cancer Patients ◽  
The Impact

scholarly journals Clinical impact of molecular positive lymph node status in colorectal cancer

2017 ◽  
Vol 28 ◽  
pp. v190
Author(s):  
N. Matsuura ◽  
N. Tomita ◽  
M. Inomata ◽  
K. Murata ◽  
S. Hayashi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Positive Lymph Node ◽  
Clinical Impact ◽  
Lymph Node Status ◽  
Node Status ◽  
Positive Lymph Node Status

scholarly journals Introducing a Novel and Robust Technique for Determining Lymph Node Status in Colorectal Cancer

2014 ◽  
Vol 260 (1) ◽  
pp. 94-102 ◽  
Author(s):  
John Hogan ◽  
Conor Judge ◽  
Michael O’Callaghan ◽  
Amir Aziz ◽  
Cormac O’Connor ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Lymph Node Status ◽  
Node Status

A novel and robust technique for determining lymph node status in colorectal cancer.

2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 483-483
Author(s):  
John Hogan ◽  
Michael O Callaghan ◽  
Conor Judge ◽  
Cormac O Connor ◽  
A Aziz ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Lymph Node ◽  
Expression Profiles ◽  
Oncologic Outcome ◽  
Nodal Status ◽  
Lymph Node Status ◽  
Graphic User Interface ◽  
Data Set ◽  
Node Status

483 Background: Currently, techniques that determine lymph node positivity (prior to resection) have poor sensitivity and specificity. The ability to determine lymph node status, based on preoperative biopsies, would greatly assist in planning treatment in colorectal cancer. This is particularly relevant in polyp-detected cancers. This study aims to harness the potential of public gene expression repositories, to develop gene expression profiles that could accurately determine nodal status in colorectal cancer. Methods: Public gene expression repositories were screened for experiments comparing metastatic and non-metastatic colorectal cancer. A customized graphic user interface was developed to extract genes dysregulated across the majority of identified studies (i.e., consensus profiles or “CP”). The utility of CP was tested by determining if classifiers could be derived that determined nodal positivity or negativity. CP-derived classifiers were tested on separate Affymetrix and Illumina–based experiments and collated outputs compiled in summary-receiver operator curve characteristic format. The association between classification and oncologic outcome was determined using an additional, independent data set. Results: Four consensus profiles were generated from which classifiers were derived that accurately determined node positive and negative status (pooled AUC were 0.79 ± 0.04 and 0.8 ± 0.03 for nodal positivity and negativity respectively). Overall AUC ranged from 0.73 to 0.86 demonstrating high accuracy across consensus profile type, classification technique and array platform used. As CP enabled classification of nodal status, survival outcomes could be compared for those predicted node negative or positive. Patterns of disease-free and overall survival were identical to those observed for standard histopathologic nodal status. Genes contained within consensus profiles were strongly linked to the metastatic process and included FYN, WNT5A, COL8A1 and BMP. Conclusions: Microarray expression data available in public gene expression repositories can be harnessed to generate consensus profiles. The latter are a source of classifiers that have prognostic and predictive properties.

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