Abstract 530P
Background
Recent evidence have showed that high level of systemic inflammation is associated with poor survival in patients with malignancy by promoting cell proliferation. Inflammation-based serum biomarkers including C Reactive Protein (CRP), Albumin (ALB) and CRP/ALB ratio have been showed to have prognostic value in patients with Small Cell Lung Cancer (SCLC). C-reactive protein (CRP) is a nonspecific serum marker of acute-phase inflammatory response. Studies have hypothesized that High CRP is a surrogate marker of tissue inflammation secondary to tumor growth. Albumin is both an inflammatory and nutritional marker. They are readily available and cost-effective tests that are potential prognostic biomarkers and therapeutic targets. Prognostic biomarkers help to optimize therapy decisions, as they provide information on the likelihood of response to a given chemotherapeutic regimen.
Methods
The databases of PubMed, Cochrane, and Google Scholar were systematically searched until July 2019. Associations between CRP, ALB and CRP/ALB ratio and overall survival (OS) were investigated by pooling hazard ratio (HR) and 95% confidence interval (CI).
Results
A total of 13 studies comprising of 2,034 patients were included. The results showed that only High CRP (HR 1.36, CI 95% 1.01, 1.82 p = 0.04) and High CRP/ALB (HR 1.38, CI 9%% 1.15, 1.64 p = 0.0004) ratio are significantly associated with overall survival. Albumin has no statistical association with OS.
Conclusions
High CRP and CRP/ALB ratio are independent prognostic biomarkers in patients with SCLC.
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
74TiP - Phase I study of BI 836880, a VEGF/Ang2-blocking nanobody®, as monotherapy and in combination with BI 754091, an anti-PD-1 antibody, in Japanese patients (pts) with advanced solid tumours
Presenter: Kentaro Yamazaki
Session: Poster display session
Resources:
Abstract
75P - A parallel deep learning network framework for whole-body bone scan image analysis
Presenter: Xiaorong Pu
Session: Poster display session
Resources:
Abstract
76P - Perception and satisfaction of cancer patients in clinical trials
Presenter: Jukyung Jeon
Session: Poster display session
Resources:
Abstract
77P - A prognostic nomogram for the prediction of neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster display session
Resources:
Abstract
80P - The clinical usefulness of a new fat-dissociation method to detect lymph nodes from surgically resected specimen in colorectal cancer: Prospective randomized study
Presenter: Shiki Fujino
Session: Poster display session
Resources:
Abstract
81P - Concurrent or consolidation chemotherapy during radiation as neoadjuvant treatment for locally advanced rectal cancer: A propensity score analysis from two prospective study
Presenter: JianWei Zhang
Session: Poster display session
Resources:
Abstract
82P - Body mass index, tumour location, and colorectal cancer survival
Presenter: Dake Chu
Session: Poster display session
Resources:
Abstract
83P - Helicobacter bilis may play a role in the carcinogenesis of colitis associated colon cancer correlating to increased number of CD4+CD45RB+ T cells
Presenter: Xiangsheng Fu
Session: Poster display session
Resources:
Abstract
84P - Comprehensive evaluation of relapse risk (CERR) score for colorectal liver metastases development and validation
Presenter: Jianmin Xu
Session: Poster display session
Resources:
Abstract
85P - Which is the best partner for capecitabine-based neoadjuvant chemoradiotherapy in locally advanced rectal cancer? A retrospective analysis of a comprehensive cancer center
Presenter: Jingwen Wang
Session: Poster display session
Resources:
Abstract