Determinants of SARS-CoV-2 outcomes in patients with cancer vs controls without cancer: a multivariable meta-analysis with genomic imputation.

Publication date: May 01, 2025

SARS-CoV-2 is known to impact patients with cancer adversely. Previous meta-analyses have lacked clarity on the recency of cancer diagnosis, anti-cancer treatment durations, and SARS-CoV-2 specific variants of concern (VOC). This study aimed to compare SARS-CoV-2 multivariable-adjusted clinical outcomes between patients with cancer and those without cancer, identifying key risk factors spanning pre- and post-Omicron periods. In this systematic review and meta-analysis, we identified from Medline, Embase, Cochrane Central, and the WHO COVID-19 Research Database prospective and retrospective case-control studies and cohort studies published from 1st January 2019 to 22nd November 2024. We included case-control and cohort studies comparing at least 10 patients with active cancer (diagnosed or treated within three years prior to SARS-CoV-2 infection) to controls without cancer using multivariable analyses. Exclusion criteria included lack of clarity about active/inactive status of cancer, lack of a control group without cancer, lack of multivariate analysis comparing outcomes of interest in patients with active cancer vs patients without cancer, case reports or case series, and SARS-CoV-2 diagnosis not confirmed via laboratory testing. Outcomes measured were SARS-CoV-2 infection severity (WHO ordinal scale) and mortality differences by tumour type, treatment, and VOC (using sequencing data from NCBI Genbank and GISAID). A random-effects meta-analysis model was applied. The systematic review was PRISMA compliant and was registered with PROSPERO, CRD420234454524. Of 35,501 studies initially identified, 30 met eligibility criteria and were included in the meta-analysis, comprising 281,270 patients with cancer and 18,876,411 controls. Using the Agency for Healthcare Research and Quality (AHRQ) risk of bias standards, 21 studies were rated good, one study rated was fair, and eight studies were rated poor. We found higher mortality odds ratios (OR) in patients with cancer infected with SARS-CoV-2: 1.40 (95% CI: 1.12-1.73, I = 98.1%) for solid tumours and 2.10 (95% CI: 1.43-3.07, I = 97.3%) for haematological malignancies, with the difference in mortality between these groups not reaching statistical significance (Q (1) = 3.32; p = 0.0068). Amongst the solid cancers, thoracic and colorectal were linked to increased odds of mortality (ORs: 2.63 [95% CI: 1.65-4.20, I = 98.7%], and 1.65 [95% CI: 1.26-2.15, I = 92.7%], respectively). Metastatic cancers (OR: 3.59; 95% CI: 1.07-12.04, I = 99.5%) were also linked to greater odds of mortality compared to localised cancers (OR: 1.76; 95% CI: 1.32-2.34, I = 96.6%; p = 0.26). No cancer types showed a reduced risk vs controls. Mortality varied significantly among VOCs; Alpha (OR: 4.59; 95% CI: 2.66-7.92, I: N/A) and Omicron (OR: 2.74; 95% CI: 1.84-4.09, I = 90.2%) were more associated with death than the ancestral Wu-1 (OR: 1.43; 95% CI: 1.14-1.80, I = 98.2%) and Delta (OR: 1.94; 95% CI: 1.65-2.29, I:N/A) variants (X (4) = 20.4; p = 0.0004). This comprehensive meta-analysis indicates that patients with active cancer with SARS-CoV-2 have a higher risk of mortality and hospitalisation than those without cancer. The risk of death was comparable between active solid and haematological tumours. SARS-CoV-2 severity and mortality risks were higher with thoracic, colorectal, or any metastatic cancers. Additionally, differences were noted in mortality risks across VOCs, diverging from VOC-associated mortality patterns in the general population. However, the strict three-year cutoff used to define active cancer excludes studies that used broader cancer criteria (i. e., any history of cancer), which may limit generalisability. Further limitations include varied definitions of disease severity, retrospective data collection, incomplete vaccination or lineage data, and significant between-study heterogeneity, potentially influencing these findings. Cancer Research UK; UK Research and Innovation.

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Concepts Keywords
Cancer Cancer
Crd420234454524 COVID-19
Genomic Hospitalisation
Systematic Intensive care
Vaccination Meta-analysis
Mortality
SARS-CoV-2
Severity
Systematic review

Semantics

Type Source Name
disease MESH cancer
disease MESH COVID-19
pathway REACTOME SARS-CoV-2 Infection
drug DRUGBANK Methionine
disease IDO quality
disease MESH death
disease IDO history
drug DRUGBANK Coenzyme M
disease MESH Influenza
disease MESH morbidity
disease MESH infections
disease IDO pathogen
disease IDO infection
drug DRUGBANK Pentaerythritol tetranitrate
disease MESH clinical progression
drug DRUGBANK Oxygen
disease IDO country
drug DRUGBANK Alpha-1-proteinase inhibitor
disease IDO process
disease MESH comorbidity
disease MESH alcohol abuse
disease MESH skin cancers
disease MESH pneumonia
disease MESH melanoma
pathway KEGG Melanoma
disease MESH Lymphoma
disease MESH Carcinoma
disease MESH multiple myeloma
drug DRUGBANK Trestolone
drug DRUGBANK Bisoprolol
disease MESH Uncertainty
drug DRUGBANK Aspartame
disease MESH clinical significance
disease IDO host
drug DRUGBANK Angelica archangelica root
disease MESH immunocompromised patients
drug DRUGBANK Troleandomycin
disease MESH chronic infection
disease IDO replication
disease IDO infectivity
disease MESH Leukemia
drug DRUGBANK L-Aspartic Acid
disease IDO susceptibility
drug DRUGBANK D-Alanine
disease IDO site
disease MESH colorectal cancer
pathway KEGG Colorectal cancer
disease MESH inflammation
disease MESH critically ill
disease MESH thyroid cancer
pathway KEGG Thyroid cancer
disease MESH hematological malignancies

Original Article

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