Abstract 83P
Background
Pancreatic cancer is one of the deadliest cancers worldwide, with a 5-year survival rate of less than 10%. The dismal prognosis is primarily due to late-stage diagnosis, resulting from the absence of specific, early, and sensitive biomarkers. Macrophage inhibitory cytokine 1 (MIC-1), a member of the transforming growth factor-beta superfamily, has been proposed as a potential biomarker for the early diagnosis of pancreatic cancer. However, the existing literature reports inconsistent diagnostic performance for serum MIC-1 levels in pancreatic cancer detection. This study aims to evaluate the diagnostic accuracy of serum MIC-1 as a biomarker for pancreatic cancer.
Methods
A systematic review was performed in PubMed, Embase, Web of Science, and Scopus to identify relevant studies published up to January 2023. These studies assessed assessing usage of MIC-1 in pancreatic cancer patients, with healthy individuals serving as the comparator control group. Statistical analysis was performed using R software (version 4.0.3) with the mada package to pool sensitivity, specificity, false-positive rate estimates, diagnostic odds ratio, and positive and negative likelihood ratios; each expressed within a 95% Confidence Interval (CI).
Results
Analysis of five studies involving 2008 participants (1151 pancreatic cancer patients, 857 healthy controls) revealed a robust diagnostic performance for serum MIC-1 levels, with a high pooled sensitivity of 86.7% (95% CI, 75.4-93.3%, I2=93.9%) and specificity of 85.9% (95% CI, 66.9-94.9%, I2=94%). A false-positive rate of 14.1% (95% CI, 5.1-33.1%) was noted. Positive and negative likelihood ratios were 6.17 (95% CI, 2.37-16.05) and 0.15 (95% CI, 0.08-0.30), respectively, and a high diagnostic odds ratio of 39.92 (95% CI, 10.44-152.66) indicated strong efficacy for MIC-1 as a diagnostic biomarker.
Conclusions
Serum MIC-1 demonstrates substantial potential as an early diagnostic biomarker for pancreatic cancer due to its high sensitivity and specificity. Nevertheless, the significant heterogeneity in the studies calls for more extensive, well-designed prospective validation studies before clinical implementation.
Editorial acknowledgement
Clinical trial identification
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
10P - An adapted CGP-based model to interpret POLE mutations in endometrial cancer
Presenter: Rita Trozzi
Session: Cocktail & Poster Display session
Resources:
Abstract
11P - Reconstructing tumour evolution of single cells using both somatic mutations and copy-number alterations
Presenter: Rija Zaidi
Session: Cocktail & Poster Display session
Resources:
Abstract
12P - Swiss-PO: Molecular modelling for precision oncology
Presenter: Fanny Krebs
Session: Cocktail & Poster Display session
Resources:
Abstract
13P - A novel algorithm for predicting variant detectability in oncogenomic analysis
Presenter: Alper Akkuş
Session: Cocktail & Poster Display session
Resources:
Abstract
14P - expHRD: An algorithm for the transcriptome-based estimation of homologous recombination deficiency score
Presenter: Jin-Ku Lee
Session: Cocktail & Poster Display session
Resources:
Abstract
15P - ClinBioNGS: An integrated clinical bioinformatics pipeline for the analysis of somatic NGS cancer panels
Presenter: Xavier Sole
Session: Cocktail & Poster Display session
Resources:
Abstract
16P - Investigation of c-MYC role in DNA-PK-mediated activation of STING pathway in SCLC
Presenter: Caterina de Rosa
Session: Cocktail & Poster Display session
Resources:
Abstract
17P - NRF2 activation promotes HER2-targeted tolerance and resistance in oesophageal adenocarcinoma through metabolic reprogramming to glutathione
Presenter: Wei Zhang
Session: Cocktail & Poster Display session
Resources:
Abstract
18P - AURKB inhibition radiosensitises NSCLC by altering mitotic fate
Presenter: Kathryn Egerton
Session: Cocktail & Poster Display session
Resources:
Abstract
19P - Stratified control study on neuroendocrine differentiation and potential clinical markers in patients with limited-stage small-cell lung cancer
Presenter: Li Liu
Session: Cocktail & Poster Display session
Resources:
Abstract