C-reactive Protein and Future Risk of Clinical and Molecular Subtypes of Colorectal Cancer

2020 ◽  
Vol 29 (7) ◽  
pp. 1482-1491
Author(s):  
Stina Bodén ◽  
Robin Myte ◽  
Justin Harbs ◽  
Anneli Sundkvist ◽  
Carl Zingmark ◽  
...  
2021 ◽  
Vol 10 (4) ◽  
pp. 589
Author(s):  
Mariusz G. Fleszar ◽  
Paulina Fortuna ◽  
Marek Zawadzki ◽  
Paweł Hodurek ◽  
Iwona Bednarz-Misa ◽  
...  

Excessive endocrine response to trauma negatively affects patients’ well-being. Cortisol dynamics following robot-assisted colorectal surgery are unknown. We aimed at determining the impact of cancer pathology and surgery-related factors on baseline cortisol levels and analyzed its time-profile in colorectal cancer patients undergoing open or robot-assisted surgery. Cortisol levels were measured using liquid chromatography quadrupole time-of-flight mass spectrometry. Baseline cortisol was not associated with any patient- or disease-related factors. Post-surgery cortisol increased by 36% at 8 h and returned to baseline on postoperative day three. The cortisol time profile was significantly affected by surgery type, estimated blood loss, and length of surgery. Baseline-adjusted cortisol increase was greater in females at hour 8 and in both females and patients from open surgery group at hour 24. Solely in the open surgery group, cortisol dynamics paralleled changes in interleukin (IL)-1β, IL-10, IL-1ra, IL-7, IL-8 and tumor necrosis factor (TNF)-α but did not correlate with changes in IL-6 or interferon (IFN)-γ at any time-point. Cortisol co-examined with C-reactive protein was predictive of surgical site infections (SSI) with high accuracy. In conclusion, patient’s sex and surgery invasiveness affect cortisol dynamics. Surgery-induced elevation can be reduced by minimally invasive robot-assisted procedures. Cortisol and C-reactive protein as SSI biomarkers might be of value in the evaluation of safety of early discharge of patients.


2021 ◽  
pp. 1-9
Author(s):  
Murat Yildirim ◽  
Bulent Koca

BACKGROUND: Lymphocyte-to-C-reactive protein ratio (LCR) has been used as a post-surgical prognostic biomarker in patients with gastric and colorectal cancer. However, its relationship with early postoperative complications in these patients is unknown. In this study, we aimed to reveal the relationship between LCR and postoperative complications. METHODS: Eighty-one patients operated for stomach and colorectal cancer between January 2020 and August 2020 were prospectively analyzed. On preoperative and postoperative days 1, 3 and 5, other inflammatory parameters, mainly LCR, neutrophil lymphocyte ratio (NLR), were recorded. The patients were divided into two groups according to Clavien-Dindo classification as stage III and higher complications major, stage I-II/non-complication minor. RESULTS: Fifty seven patients were operated for colorectal cancer, 24 patients for gastric cancer. The mean age of the patients was 65.6 ± 12.6, 34.6% of them was women. Age, operation time and hospital stay were significantly different between the groups (p= 0.004, p= 0.002, p< 0.001). Major complications developed in 18 patients. On postoperative day 5, LCR found superior diagnostic accuracy in predicting major postoperative complications compared to other inflammatory markers. On the postoperative 5th day, the cut-off value of LCR was 0.0034, 88.8% (71.9–94.8) sensitivity, and 85.7% (73.6–95.4) selectivity. CONCLUSION: Among different inflammatory markers, postoperative LCR is a safe and effective predictor of postoperative complications, especially after gastric and colorectal cancer surgery on day 5.


Author(s):  
Jiahui Zhou ◽  
Wene Wei ◽  
Hu Hou ◽  
Shufang Ning ◽  
Jilin Li ◽  
...  

Background: Emerging evidence suggests that inflammatory response biomarkers are predictive factors that can improve the accuracy of colorectal cancer (CRC) prognoses. We aimed to evaluate the prognostic significance of C-reactive protein (CRP), the Glasgow Prognostic Score (GPS), and the CRP-to-albumin ratio (CAR) in CRC.Methods: Overall, 307 stage I–III CRC patients and 72 colorectal liver metastases (CRLM) patients were enrolled between October 2013 and September 2019. We investigated the correlation between the pretreatment CRP, GPS, and CAR and the clinicopathological characteristics. The Cox proportional hazards model was used for univariate or multivariate analysis to assess potential prognostic factors. A receiver operating characteristic (ROC) curve was constructed to evaluate the predictive value of each prognostic score. We established CRC survival nomograms based on the prognostic scores of inflammation.Results: The optimal cutoff levels for the CAR for overall survival (OS) in all CRC patients, stage I–III CRC patients, and CRLM patients were 0.16, 0.14, and 0.25, respectively. Kaplan–Meier analysis and log-rank tests demonstrated that patients with high CRP, CAR, and GPS had poorer OS in CRC, both in the cohorts of stage I–III patients and CRLM patients. In the different cohorts of CRC patients, the area under the ROC curve (AUC) of these three markers were all high. Multivariate analysis indicated that the location of the primary tumor, pathological differentiation, and pretreatment carcinoembryonic antigen (CEA), CRP, GPS, and CAR were independent prognostic factors for OS in stage I–III patients and that CRP, GPS, and CAR were independent prognostic factors for OS in CRLM patients. The predictors in the prediction nomograms included the pretreatment CRP, GPS, and CAR.Conclusions: CRP, GPS, and CAR have independent prognostic values in patients with CRC. Furthermore, the survival nomograms based on CRP, GPS, and CAR can provide more valuable clinical significance.


2021 ◽  
Vol 31 (1) ◽  
pp. 35-42
Author(s):  
Özlem Zeliha Sert ◽  
Hilmi Bozkurt ◽  
Tolga Ölmez ◽  
Emre Aray ◽  
Orhan Uzun ◽  
...  

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