Related Experiment Video
Updated: May 6, 2026

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
Inflammation as a validated prognostic determinant in carcinoma of unknown primary site
Z Mohamed1, D J Pinato2, F A Mauri3
1Department of Medical Oncology, Hammersmith Hospital, Imperial College NHS Trust, W120HS Du Cane Road, London, UK.
Background:
Carcinoma of unknown primary (CUP) is a clinical presentation with a poor prognosis. Inflammation-based prognostic systems are stage-independent prognostic predictors in various malignancies. We aimed to assess the accuracy of the modified Glasgow Prognostic Score (mGPS), neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) as objective prognostic models in CUP.
Methods:
We derived inflammatory scores in 60 consecutive CUP referrals to the Imperial College oncology unit between 1996 and 2011. Patient demographics, treatment and staging data and full blood profiles were collected. An independent cohort of 179 patients presenting to the Taipei Veterens Hospital between 2000 and 2009 were used as a 'validation' data set. Uni- and multivariate survival analysis was used to predict the overall survival (OS).
Results:
Sixty patients were included: median age 61 (range: 33-86); 51% men; median OS 5.9 months (0.7-42.9); 88% with distant metastases. On univariate analysis NLR >5 (P=0.04) and mGPS (score 1-2) (P=0.03) correlated with OS. Multivariate analysis demonstrated significant hazard ratios for NLR; 2.02 (CI 1.0-4.1) (P=0.04) and mGPS; 1.52 (CI 1.0-2.3) (P=0.03). These findings were reinforced by analysis of the validation data.
Conclusion:
NLR and mGPS are independent, externally validated prognostic markers in CUP, with superior objectivity compared with performance status.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025