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Article

p53 Antibodies as a Diagnostic Marker for Cancer: A Meta-Analysis

1
Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA
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Department of Health Sciences, University of Florence, 50121 Florence, Italy
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Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK
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Department of Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, USA
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Department of Medical, Surgical and Health Sciences, University of Trieste, Cattinara Hospital, Strada Di Fiume 447, 34149 Trieste, Italy
*
Authors to whom correspondence should be addressed.
Academic Editor: Laura Cerchia
Molecules 2021, 26(20), 6215; https://doi.org/10.3390/molecules26206215
Received: 18 September 2021 / Revised: 9 October 2021 / Accepted: 11 October 2021 / Published: 14 October 2021
Importance: The protein p53 is an unequivocal tumor suppressor that is altered in half of all cancers. The immune system produces systemic p53 autoantibodies (p53 Abs) in many cancer patients. Objective: This systemic review and meta-analysis focuses on the prognostic value of p53 Abs expressed in the serum of patients with solid tumors. Data Sources: All the clinical investigations were searched on PubMed from the first study dated 1993 until May 2021 (date of submission of the manuscript). Study Selection: Studies were included that met the following criteria: (1) participants with cancer; (2) outcome results expressed in relation to the presence of a p53 antibody; (3) a primary outcome (disease-free survival, overall survival or progression-free survival) expressed as hazard ratio (HR). The following exclusion criteria were used: (1) insufficient data available to evaluate outcomes; (2) animal studies; (3) studies with less than 10 participants. As a result, 12 studies were included in the analysis. Data Extraction and Synthesis: PRISMA guidelines were used for abstracting and assessing data quality and validity by three independent observers. The summary estimates were generated using a fixed-effect model (Mantel–Haenszel method) or a random-effect model (DerSimonian–Laird method), depending on the absence or presence of heterogeneity (I2). Main Outcome(s) and Measure(s): The primary study outcome was to determine the prognostic value of p53 Abs from a large population of patients with solid tumors, as determined before data collection. Results: In total, 12 clinical studies involving 2094 patients were included in the meta-analysis, and it was determined that p53 Abs expression in the serum significantly correlated with poorer survival outcomes of cancer patients (95% CI 1.48 [1.24, 1.77]; p < 0.00001). Conclusions and Relevance: This is the first meta-analysis proving the diagnostic utility of p53-Abs for cancer patients in predicting poorer outcomes. The serum-p53 value (s-p53-value) may be useful for future theranostics. View Full-Text
Keywords: meta-analysis; p53; serum p53 antibodies; cancer survival prognostic biomarker meta-analysis; p53; serum p53 antibodies; cancer survival prognostic biomarker
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MDPI and ACS Style

Sobhani, N.; Roviello, G.; D’Angelo, A.; Roudi, R.; Neeli, P.K.; Generali, D. p53 Antibodies as a Diagnostic Marker for Cancer: A Meta-Analysis. Molecules 2021, 26, 6215. https://doi.org/10.3390/molecules26206215

AMA Style

Sobhani N, Roviello G, D’Angelo A, Roudi R, Neeli PK, Generali D. p53 Antibodies as a Diagnostic Marker for Cancer: A Meta-Analysis. Molecules. 2021; 26(20):6215. https://doi.org/10.3390/molecules26206215

Chicago/Turabian Style

Sobhani, Navid, Giandomenico Roviello, Alberto D’Angelo, Raheleh Roudi, Praveen K. Neeli, and Daniele Generali. 2021. "p53 Antibodies as a Diagnostic Marker for Cancer: A Meta-Analysis" Molecules 26, no. 20: 6215. https://doi.org/10.3390/molecules26206215

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