scholarly journals Prognosis of colorectal cancer patients is associated with the novel log odds of positive lymph nodes scheme: derivation and external validation

2020 ◽  
Vol 11 (7) ◽  
pp. 1702-1711
Author(s):  
Qing-Wei Zhang ◽  
Chi-Hao Zhang ◽  
Yuan-Bo Pan ◽  
Alberto Biondi ◽  
Valeria Fico ◽  
...  
2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
C Li ◽  
S Z Y Ooi ◽  
T Woo ◽  
P H M Chan

Abstract Aim To identify the most relevant clinical factors in the National Bowel Cancer Audit (NBOCA) that contribute to the variation in the quality of care provided in different hospitals for colorectal cancer patients undergoing surgery. Method Data from 36,116 patients with colorectal cancer who had undergone surgery were retrospectively collected from the NBOCA and analysed from 145 and 146 hospitals over two years. A validated multiple linear regression was performed to compare the identified clinical factors with various quality outcomes. The quality outcomes defined in this study were the length of hospitalisation, 2-year mortality, readmission rate, 90-day mortality, and 18-month stoma rate. Results Four clinical factors (laparoscopy rate, abdominal-perineal-resection-of-rectum (APER), pre-operative radiotherapy and patients with distant metastases) were shown to have a significant (p < 0.05) impact on the length of hospitalisation and 18-month stoma rate. 18-month stoma rate was also significantly associated with 2-year mortality. External validation of the regression model demonstrated the Root-Mean-Square-Error of 0.811 and 4.62 for 18-month stoma rate and 2-year mortality respectively. Conclusions Hospitals should monitor the four clinical factors for patients with colorectal cancer during perioperative care. Clinicians should consider these factors along with the individual patients’ history when formulating a management plan for patients with colorectal cancer.


2014 ◽  
Vol 29 (1) ◽  
pp. e30-e39 ◽  
Author(s):  
Ariel Zwenger ◽  
Martin Rabassa ◽  
Sandra Demichelis ◽  
Gabriel Grossman ◽  
Amada Segal-Eiras ◽  
...  

Aim Colorectal cancer (CRC) is one of the most prevalent malignancies in Argentina with 11,043 new cases and 6,596 deaths estimated to have occurred in 2008. The present study was developed to clarify the differential expression of MUC1, MUC2, sLex, and sLea in colorectal cancer patients and their relationship with survival and clinical and histological features. Methods Ninety primary tumor samples and 43 metastatic lymph nodes from CRC patients were studied; follow-up was documented. Twenty-six adenoma and 68 histological normal mucosa specimens were analyzed. An immunohistochemical approach was applied and statistical analysis was performed. Results In tumor samples, MUC1, sLea, and sLex were highly expressed (94%, 67%, and 91%, respectively); also, we found a significantly increased expression of the 3 antigens in primary tumors and metastatic lymph nodes compared with normal mucosa and adenomas. MUC2 was expressed in 52% of both normal mucosa and CRC samples; this reactivity significantly decreased in metastatic lymph nodes (p<0.05). A multiple comparison analysis showed that MUC1 and sLex discriminated among 3 groups: normal, adenoma, and CRC tissues. The increase of sLex expression showed an association with recurrence, and survival analysis showed that a high sLex staining was significantly associated with a poor survival. By multivariate analysis MUC1 inmunoreactivity correlated positively and significantly with tumor size, while MUC2 expression showed the opposite correlation. Conclusions The correlation of sLex overexpression in primary tumors and metastatic lymph nodes, the discrimination among the normal, adenoma, and CRC groups based on sLex expression, as well as its association with recurrence and survival, all suggest a prognostic role of sLex in Argentinian CRC patients.


2019 ◽  
Vol 8 (6) ◽  
pp. e1588085 ◽  
Author(s):  
Tatsuo Matsuda ◽  
Eisaku Miyauchi ◽  
Yu-Wen Hsu ◽  
Satoshi Nagayama ◽  
Kazuma Kiyotani ◽  
...  

2016 ◽  
Vol 42 (2) ◽  
pp. 260-265 ◽  
Author(s):  
F. Stracci ◽  
F. Bianconi ◽  
S. Leite ◽  
A. Liso ◽  
F. La Rosa ◽  
...  

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