The circulating proteome and cancer risk: A systematic literature review and meta-analysis of 26 prospective studies with genetic validation
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Background
Proteins have an integral role in cancer aetiology and inform cancer detection, treatment, and prognosis. While published data from prospective proteomic studies identifying early detection cancer risk markers have rapidly increased in the past five years, the landscape of evidence remains unclear. We aim to synthesize the evidence on circulating proteins and cancer risk.
Methods
We conducted a systematic review and meta-analysis. We searched Embase and Medline up to December-2023 with reference-list screening and hand-searching up to June-2024. Prospective cohort studies were eligible if they used multiplex panels, included adults without cancer diagnosis at baseline, and reported associations between circulating proteins at baseline and risk of incident cancer. Based on highest global incidence, we included esophageal, stomach, colorectal, liver, lung, breast, cervical, prostate, bladder, thyroid cancer. We conducted exome-protein-score and Mendelian randomisation analyses and integrated exome-gene-burden results for protein associations that passed false-discovery-rate correction to assess protein roles in cancer aetiology.
Findings
Of 4,949 articles, we included 26 unique studies comprising 84,129 participants and 14,326 cases. The studies profiled 2,434 unique proteins and reported 19,130 total protein-cancer-associations. We conducted 3,448 meta-analyses and detected 216 associations (131 novel) that passed false-discovery-rate correction for stomach (n=2), colorectal (n=27), lung (n=172), breast (n=14), and prostate (n=1) cancer. No significant associations were observed for bladder cancer. Meta-analyses were not possible for esophageal, liver, cervical, or thyroid cancer, due to limited data. Supporting genetic evidence was found for 39 protein-cancer-associations.
Interpretation
We identified 131 novel protein-cancer-associations with strong evidence across meta-analyses of which some may be cancer markers and others may have a role in aetiology, indicated by supporting genetic analyses, including ITGA11 and lung cancer. Our findings highlight the need for large, diverse, and mature prospective proteomic cohort studies of cancer risk to ensure the equity and generalisability of insights into cancer risk.
