The Predictive Role of Circulating Inflammatory Biomarkers in the Response to Cetuximab-Based Therapy for Unresectable Stage IV Metastatic Colorectal Cancer

Author(s) :

Alexandru Necula 1,2 , Andrei Belu3, Claudia Cristina Burz1,3

1 “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania

2  Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland

3   “Prof. Dr. Ion Chiricuta” Institute of Oncology, Cluj-Napoca, Romania

Corresponding author: Alexandru Necula, Email: alexnecula10@gmail.com


Published: Volume IV, Issue 1, 27 July 2024, 12 - 17 DOI: 10.53011/JMRO.2024.01.03

Open Access

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May 1, 2024 0 Comments

Abstract

Background: Our retrospective single-center study aimed to assess the value of the  inflammatory biomarkers in predicting the response  to  5-fluorouracil/folinic acid-based chemotherapy and Anti-EGFR monoclonal antibodies (Cetuximab) in stage IV unresectable metastatic colorectal cancer (mCRC) patients

Material & Methods: We conducted a retrospective study on a series of 38 consecutively patients with stage IV mCRC patients who received first-line therapy (FOLFOX/FOLFIRI Doublet Chemotherapy + Cetuximab) between 2014 and 2023. Inclusion criteria encompassed KRAS wild-type status, left-sided colorectal cancer, and availability of response assessment on CT scan up to  3 months after starting the treatment. Chemotherapy response was assessed using RECIST 1.1 criteria. NLR (Neutrophil-to-Lymphocyte Ratio) , and PLR (Platelet-to-Lymphocyte Ratio)  were measured a day prior to first day of therapy and a ROC curve analysis was performed to find the cutoff values able to predict  among responders  (complete or partial response )and non-responders (stable and progressive disease)

Results: ROC curve analysis showed cutoff values for NLR of 1.54 and for PLR of 95.90. High lymphocyte levels tend to lead to a more favorable response, while high neutrophil and platelet levels associate with a worse prognosis.

Conclusion: Our study highlights the role of NLR and PLR as predictive biomarkers in Cetuximab-based therapy for unresectable mCRC, providing valuable insights for clinicians in therapeutic decision-making.

Figure 1.
A) Trend of the median values of NLR in the three patient response groups
B) Trend of the median values of PLR in the three patient response groups
Figure 2. ROC Curve analysis for NLR cut-off value between R group patients and the rest of SD and PD group patients ( AUC= area under curve, Se= sensibility, Sp= specificity)
Figure 3. ROC Curve analysis for PLR cut-off value between R group patients and the rest of SD and PD group patients ( AUC= area under curve, Se= sensibility, Sp= specificity)
Figure 4. Response difference upon High vs Low value NLR
Figure 5. Response difference upon High vs Low value PLR
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