scholarly journals Deep learning can predict lymph node status directly from histology in colorectal cancer

2021 ◽  
Vol 157 ◽  
pp. 464-473
Author(s):  
Lennard Kiehl ◽  
Sara Kuntz ◽  
Julia Höhn ◽  
Tanja Jutzi ◽  
Eva Krieghoff-Henning ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Deep Learning ◽  
Lymph Node ◽  
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 Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours

2021 ◽  
Vol 154 ◽  
pp. 227-234
Author(s):  
Titus J. Brinker ◽  
Lennard Kiehl ◽  
Max Schmitt ◽  
Tanja B. Jutzi ◽  
Eva I. Krieghoff-Henning ◽  
...  
Keyword(s):  
Deep Learning ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Primary Melanoma ◽  
Lymph Node Status ◽  
Learning Approach ◽  
Node Status ◽  
Sentinel 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
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