Evidence map›Paper›PMID 35568887›Full record

ArticleJournal of translational medicine2022

Incidence and immunomic features of apyretic COVID-19 in patients affected by solid tumors: a prospective cohort study.

Francesco Ravera, Roberto Borea, Gabriella Cirmena, Martina Dameri, Lorenzo Ferrando, Maurizio Gallo, Cecilia Casini, Neri Fallani, Mario Stabile, Valentina Barbero and 9 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 56% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Francesco Ravera *Department of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Roberto Borea *IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Gabriella CirmenaIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Martina DameriDepartment of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Lorenzo FerrandoIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Maurizio GalloDepartment of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Cecilia CasiniDepartment of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Neri FallaniDepartment of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Mario StabileDepartment of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Valentina BarberoIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Roberto MurialdoIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Lucia TixiIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Margherita CappuccioIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Andrea CuboniIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Irene SivieriDepartment of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Giuseppe FornariniIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Andrea De MariaIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Alberto Ballestrero *Department of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy.
Gabriele Zoppoli *Department of Internal Medicine (DiMI), Università Degli Studi Di Genova, Genoa, Italy. gabriele.zoppoli@gmail.it.ORCID 0000-0002-1619-1708
Ospedale Policlinico San Martino · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and rationaleLittle is known about SARS-CoV-2 seroconversion in asymptomatic patients affected by solid cancer, and whether it is associated with specific transcriptomics changes in peripheral blood mononuclear cells (PBMC).

methodsPatients affected by solid cancer treated in a top comprehensive cancer center in Italy during the first COVID-19 pandemic wave, and negative for COVID-19-symptoms since the first detection of COVID-19 in Italy, were prospectively evaluated by SARS-CoV-2 serology in the period between April 14th and June 23rd 2020. Follow-up serologies were performed, every 21-28 days, until August 23rd 2020. All SARS-CoV-2 IgM + patients underwent confirmatory nasopharyngeal swab (NPS). PBMCs from a subset of SARS-CoV-2 IgM + patients were collected at baseline, at 2 months, and at 7 months for transcriptome sequencing.

resultsSARS-CoV-2 serology was performed on 446 of the 466 recruited patients. A total of 14 patients (3.14%) tested positive for at least one SARS-CoV-2 immunoglobulin in the period between April 14th and August 23rd 2020. Incidence of SARS-CoV-2 IgM decreased from 1.48% in the first month of the accrual to 0% in the last month. Viral RNA could not be detected in any of the NPS. PBMC serial transcriptomic analysis showed progressive downregulation of interleukin 6 upregulated signatures, chemokine-mediated signaling and chemokine-chemokine receptor KEGG pathways. B- and T-cell receptor pathways (p-values = 0.0002 and 0.017 respectively) were progressively upregulated.

conclusionsSARS-CoV-2 seroconversion rate in asymptomatic patients affected by solid cancer is consistent with that of asymptomatic COVID-19 assessed in the general population through NPS at the peak of the first wave. Transcriptomic features over time in IgM + asymptomatic cases are suggestive of previous viral exposure.

Indexed as

COVID-19NeoplasmsAntibodies, ViralChemokinesHumansImmunoglobulin MIncidenceLeukocytes, MononuclearPandemicsProspective StudiesSARS-CoV-2Antibodies, ViralChemokinesImmunoglobulin MAsymptomatic infectionCancerCOVID-19SerologyTranscriptome sequencing

Identifiers

PMID35568887
PMCPMC9107211
OpenAlexW4280527751

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.