C-Reactive Protein as Predictive Biomarker for Response to Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer: A Retrospective Study.
Fátima AiresEdna Darlene RodriguesMaría Piñeiro LamasMaría Teresa HerdeiroAdolfo FigueirasMaria José OliveiraMargarida MarquesAna Teresa PintoPublished in: Cancers (2022)
The standard of care for the treatment of locally advanced rectal cancer is neoadjuvant chemoradiotherapy (nCRT) followed by surgery, but complete response rates are reduced. To find predictive biomarkers of response to therapy, we conducted a retrospective study evaluating blood biomarkers before nCRT. Hemoglobin (Hg), C-reactive protein (CRP), platelets, carcinoembryonic antigen, carbohydrate antigen 19.9 levels, and neutrophil/lymphocyte ratio were obtained from 171 rectal cancer patients before nCRT. Patients were classified as responders (Ryan 0-1; ycT0N0), 59.6% ( n = 102), or nonresponders (Ryan 2-3), 40.3% ( n = 69), in accordance with the Ryan classification. A logistic regression using prognostic pretreatment factors identified CRP ≤ 3.5 (OR = 0.05; 95%CI: 0.01-0.21) as a strong independent predictor of response to treatment. Multivariate analysis showed that CRP was an independent predictor of disease-free survival (DFS) (HR = 5.48; 95%CI: 1.54-19.48) and overall survival (HR = 6.10; 95%CI 1.27-29.33) in patients treated with nCRT. Platelets were an independent predictor of DFS (HR = 3.068; 95%CI: 1.29-7.30) and OS (HR= 4.65; 95%CI: 1.66-13.05) and Hg was revealed to be an independent predictor of DFS (HR = 0.37; 95%CI: 0.15-0.90) in rectal cancer patients treated with nCRT. The lower expression of CRP is independently associated with an improved response to nCRT, DFS, and OS.
Keyphrases
- rectal cancer
- locally advanced
- neoadjuvant chemotherapy
- free survival
- phase ii study
- squamous cell carcinoma
- end stage renal disease
- healthcare
- radiation therapy
- palliative care
- minimally invasive
- poor prognosis
- newly diagnosed
- machine learning
- clinical trial
- peritoneal dialysis
- combination therapy
- fluorescent probe
- lymph node
- peripheral blood
- deep learning
- patient reported outcomes
- living cells
- percutaneous coronary intervention
- health insurance
- coronary artery bypass
- data analysis
- chronic pain