scholarly journals Predictors of Short-Term Postoperative Survival After Elective Colectomy in Colon Cancer Patients ≥80 Years of Age

2013 ◽  
Vol 20 (5) ◽  
pp. 1427-1435 ◽  
Author(s):  
Heather B. Neuman ◽  
Jennifer M. Weiss ◽  
Glen Leverson ◽  
Erin S. O’Connor ◽  
David Y. Greenblatt ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Patients ◽  
Postoperative Survival ◽  
Short Term ◽  
Elective Colectomy

scholarly journals The Impact of Comorbid Diabetes on Short-Term Postoperative Outcomes in Stage I/II Colon Cancer Patients Undergoing Open Colectomy

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Ko-Chao Lee ◽  
Kuan-Chih Chung ◽  
Hong-Hwa Chen ◽  
Kung-Chuan Cheng ◽  
Kuen-Lin Wu ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Postoperative Complications ◽  
Hospital Mortality ◽  
Cancer Patients ◽  
Surgical Outcomes ◽  
Stage I ◽  
Open Colectomy ◽  
Short Term ◽  
Patients With Diabetes ◽  
The Impact

Purpose. This study aimed at evaluating the impact of comorbid diabetes on short-term postoperative outcomes in patients with stage I/II colon cancer after open colectomy. Methods. The data were extracted from the National Inpatient Sample database (2005-2010). Short-term surgical outcomes included in-hospital mortality, postoperative complications, and hospital length of stay. Results. A total of 49,064 stage I/II colon cancer patients undergoing open surgery were included, with a mean age of 70.35 years. Of them, 21.94% had comorbid diabetes. Multivariable analyses revealed that comorbid diabetes was significantly associated with a lower risk of in-hospital mortality and postoperative complications. Compared to patients without diabetes, patients with uncomplicated diabetes had lower percentages of in-hospital mortality and postoperative complications, but patients with complicated diabetes had a higher percentage of postoperative complications. In addition, patients with diabetes only, but not patients with diabetes and hypertension only, had a lower percentage of in-hospital mortality than patients without any comorbidity. Conclusion. The present results suggested the protective effects of uncomplicated diabetes on short-term surgical outcomes in stage I/II colon cancer patients after open colectomy. Further studies are warranted to confirm these unexpected findings and investigate the possible underlying mechanisms.

Minimally invasive surgery in colon cancer patients leads to improved short-term outcomes and excellent oncologic results

2011 ◽  
Vol 202 (5) ◽  
pp. 528-531 ◽  
Author(s):  
Sonia T. Orcutt ◽  
Christy L. Marshall ◽  
Celia N. Robinson ◽  
Courtney J. Balentine ◽  
Daniel A. Anaya ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Cancer Patients ◽  
Invasive Surgery ◽  
Short Term ◽  
Oncologic Results

Investigation of Thymidylate synthase gene polymorphism in colon cancer patients

2012 ◽  
Vol 50 (05) ◽  
Author(s):  
A Schöller ◽  
A Kalmár ◽  
VÁ Patai ◽  
Z Nagy ◽  
B Barták ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Gene Polymorphism ◽  
Cancer Patients ◽  
Thymidylate Synthase

Comparative study of Canadian and Hungarian colon cancer patients

2006 ◽  
Vol 44 (05) ◽  
Author(s):  
M Rohánszky ◽  
A Nagy ◽  
G Bodoky ◽  
S Gallinger ◽  
R Gryfe
Keyword(s):  
Colon Cancer ◽  
Comparative Study ◽  
Cancer Patients

ctDNA as a prognostic factor in operable colon cancer patients: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Emre Yekedüz ◽  
Elif Berna Köksoy ◽  
Hakan Akbulut ◽  
Yüksel Ürün ◽  
Güngör Utkan
Keyword(s):  
Colon Cancer ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Circulating Tumor Dna ◽  
Random Effects Model ◽  
Inverse Variance ◽  
Increased Risk ◽  
Significant Step ◽  
Tumor Dna

Aim: Using circulating tumor DNA (ctDNA) instead of historical clinicopathological factors to select patients for adjuvant chemotherapy (ACT) may reduce inappropriate therapy. Material & methods: MEDLINE was searched on March 31, 2020. Studies, including data related to the prognostic value of ctDNA in the colon cancer patients after surgery and after ACT, were included. The generic inverse-variance method with a random-effects model was used for meta-analysis. Results: Four studies were included for this meta-analysis. ctDNA-positive colon cancer patients after surgery and ACT had a significantly increased risk of recurrence compared with ctDNA-negative patients. Conclusions: ctDNA is an independent prognostic factor, and this meta-analysis is a significant step for using ctDNA instead of historical prognostic factors in the adjuvant setting.

scholarly journals Data Driven Mathematical Model of FOLFIRI Treatment for Colon Cancer

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2632
Author(s):  
Aparajita Budithi ◽  
Sumeyye Su ◽  
Arkadz Kirshtein ◽  
Leili Shahriyari
Keyword(s):  
Mathematical Model ◽  
Colon Cancer ◽  
Cancer Patients ◽  
Immune Cell ◽  
Treatment Options ◽  
Data Driven ◽  
T Helper ◽  
Primary Tumors ◽  
Cell Fractions

Many colon cancer patients show resistance to their treatments. Therefore, it is important to consider unique characteristic of each tumor to find the best treatment options for each patient. In this study, we develop a data driven mathematical model for interaction between the tumor microenvironment and FOLFIRI drug agents in colon cancer. Patients are divided into five distinct clusters based on their estimated immune cell fractions obtained from their primary tumors’ gene expression data. We then analyze the effects of drugs on cancer cells and immune cells in each group, and we observe different responses to the FOLFIRI drugs between patients in different immune groups. For instance, patients in cluster 3 with the highest T-reg/T-helper ratio respond better to the FOLFIRI treatment, while patients in cluster 2 with the lowest T-reg/T-helper ratio resist the treatment. Moreover, we use ROC curve to validate the model using the tumor status of the patients at their follow up, and the model predicts well for the earlier follow up days.

scholarly journals Gut microbiome diversity is an independent predictor of survival in cervical cancer patients receiving chemoradiation

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Travis T. Sims ◽  
Molly B. El Alam ◽  
Tatiana V. Karpinets ◽  
Stephanie Dorta-Estremera ◽  
Venkatesh L. Hegde ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Radiation Therapy ◽  
Gut Microbiota ◽  
Cancer Patients ◽  
Gut Microbiome ◽  
Compositional Variation ◽  
Short Term ◽  
Microbiome Diversity ◽  
Term Survivor

AbstractDiversity of the gut microbiome is associated with higher response rates for cancer patients receiving immunotherapy but has not been investigated in patients receiving radiation therapy. Additionally, current studies investigating the gut microbiome and outcomes in cancer patients may not have adjusted for established risk factors. Here, we sought to determine if diversity and composition of the gut microbiome was independently associated with survival in cervical cancer patients receiving chemoradiation. Our study demonstrates that the diversity of gut microbiota is associated with a favorable response to chemoradiation. Additionally, compositional variation among patients correlated with short term and long-term survival. Short term survivor fecal samples were significantly enriched in Porphyromonas, Porphyromonadaceae, and Dialister, whereas long term survivor samples were significantly enriched in Escherichia Shigella, Enterobacteriaceae, and Enterobacteriales. Moreover, analysis of immune cells from cervical tumor brush samples by flow cytometry revealed that patients with a high microbiome diversity had increased tumor infiltration of CD4+ lymphocytes as well as activated subsets of CD4 cells expressing ki67+ and CD69+ over the course of radiation therapy. Modulation of the gut microbiota before chemoradiation might provide an alternative way to enhance treatment efficacy and improve treatment outcomes in cervical cancer patients.

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