Abstract 220P
Background
Two-thirds of all cancers are diagnosed in patients above the age of 65 years, often associated with worse outcomes. The aim of this cohort study was to identify the predictive value of blood markers of inflammation, cell activity, and aging in older patients with solid malignant tumors.
Methods
Patients diagnosed with solid tumors were included at the Cancer Center Baselland, Switzerland. We investigated the predictive value on overall survival of blood markers sampled by clinical routine, including CRP (C-reactive protein), NLR (Neutrophil-to-lymphocyte ratio), LDH (Lactate dehydrogenase), Albumin, and Vitamin B12 (Cobalamin). The study analyzed the median value of each blood marker in all patients diagnosed after January 1, 2018, and calculated the survival curves and hazard ratios.
Results
From Jan 2018 to Feb 2022, a total of 510 patients were included with a median age at diagnosis of 72 years (57-91 years). Among these patients, 246 had localized disease, and 262 had advanced disease at primary diagnosis. The diagnoses included NSCLC (n=158, 31%), CRC (n=98, 19%), breast cancer (n=58, 11%), prostate cancer (n=82, 16%), pancreas cancer (n=42, 8%), urothelial cancer (n=42, 8%) and SCLC (n=30, 6%). Patients with abnormal median blood values had a significantly increased risk of poor outcomes. NLR>4 (p<0.001, HR=2.37), CRP >5mg/l (p=0.021, HR=1.6), CRP>10mg/l (p<0.001, HR=4.0-6.6), Albumin<35g/l (p<0.001, HR=3.05), LDH>250U/l (p<0.001. HR=2.24), and Vitamin B12>810pmol/l (p<0.002, HR=2.96) were associated with increased hazard ratios.
Conclusions
Older cancer patients with abnormal inflammation and aging markers had worse outcomes. This highlights the potential role of these blood markers in predicting outcomes in cancer patients with solid tumors. It is important to note that these blood markers are not cancer-specific, and their levels can be affected by other factors, such as infection, inflammation, and nutritional status. However, when used in conjunction with other clinical and pathological factors, they may provide additional information for risk stratification and treatment planning. Overall, our study adds to the growing body of evidence on the potential role of blood biomarkers in predicting outcomes in cancer patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
175P - Radiomic biomarker of vessel tortuosity for monitoring treatment change: Preliminary findings in prospective evaluation of ECOG-ACRIN EA5163
Presenter: Pushkar Mutha
Session: Poster session 01
176P - Enhancing immunotherapy response prediction via multimodal integration of radiology and pathology deep learning models
Presenter: Marta Ligero
Session: Poster session 01
177P - Revealing differences in radiosensitivity of advanced non-small cell lung cancer (NSCLC)through single-cell sequencing data
Presenter: Peimeng You
Session: Poster session 01
178P - Explainable radiomics, machine and deep learning models to predict immune-checkpoint inhibitor treatment efficacy in advanced non-small cell lung cancer patients
Presenter: Leonardo Provenzano
Session: Poster session 01
179P - Molecular tumor board directed treatment for patients with advanced stage solid tumors: A case-control study
Presenter: Dhruv Bansal
Session: Poster session 01
180P - An HLA-diet-oriented system unveiling organ-specific occurrence of multiple primary cancers (MPC) with prevention strategy: A large cohort study of 47,550 cancer patients
Presenter: Zixuan Rong
Session: Poster session 01
181P - GeNeo: Agnostic comprehensive genomic profiling versus limited panel organ-directed next-generation sequencing within the Belgian PRECISION initiative
Presenter: Philippe Aftimos
Session: Poster session 01
182P - ALK fusion detection by RNA next-generation sequencing (NGS) compared to DNA in a large, real-world non-small cell lung cancer (NSCLC) dataset
Presenter: Wade Iams
Session: Poster session 01
183P - Frequency of actionable fusions in 7,735 patients with solid tumors
Presenter: Kevin McDonnell
Session: Poster session 01
184P - Patient-specific HLA-I genotypes predict response to immune checkpoint blockade
Presenter: Kyrillus Shohdy
Session: Poster session 01