Evidence map›Paper›PMID 36263038›Full record

ArticleFrontiers in immunology2022

Distinct responses of newly identified monocyte subsets to advanced gastrointestinal cancer and COVID-19.

Alessandra Rigamonti, Alessandra Castagna, Marika Viatore, Federico Simone Colombo, Sara Terzoli, Clelia Peano, Federica Marchesi, Massimo Locati

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  5. The authors respond to feedback onFrontiers in oncology · 2026
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  16. Short histological kaleidoscope - recent findings in histology. Part III.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
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

8 authors.

Alessandra RigamontiDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, Milan, Italy.
Alessandra CastagnaDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, Milan, Italy.
Marika ViatoreDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, Milan, Italy.
Federico Simone ColomboFlow Cytometry Core, IRCCS Humanitas Research Hospital, Milan, Italy.
Sara TerzoliLaboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Clelia PeanoGenomic Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Federica MarchesiDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, Milan, Italy.
Massimo LocatiDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monocytes are critical cells of the immune system but their role as effectors is relatively poorly understood, as they have long been considered only as precursors of tissue macrophages or dendritic cells. Moreover, it is known that this cell type is heterogeneous, but our understanding of this aspect is limited to the broad classification in classical/intermediate/non-classical monocytes, commonly based on their expression of only two markers, i.e. CD14 and CD16. We deeply dissected the heterogeneity of human circulating monocytes in healthy donors by transcriptomic analysis at single-cell level and identified 9 distinct monocyte populations characterized each by a profile suggestive of specialized functions. The classical monocyte subset in fact included five distinct populations, each enriched for transcriptomic gene sets related to either inflammatory, neutrophil-like, interferon-related, and platelet-related pathways. Non-classical monocytes included two distinct populations, one of which marked specifically by elevated expression levels of complement components. Intermediate monocytes were not further divided in our analysis and were characterized by high levels of human leukocyte antigen (HLA) genes. Finally, we identified one cluster included in both classical and non-classical monocytes, characterized by a strong cytotoxic signature. These findings provided the rationale to exploit the relevance of newly identified monocyte populations in disease evolution. A machine learning approach was developed and applied to two single-cell transcriptome public datasets, from gastrointestinal cancer and Coronavirus disease 2019 (COVID-19) patients. The dissection of these datasets through our classification revealed that patients with advanced cancers showed a selective increase in monocytes enriched in platelet-related pathways. Of note, the signature associated with this population correlated with worse prognosis in gastric cancer patients. Conversely, after immunotherapy, the most activated population was composed of interferon-related monocytes, consistent with an upregulation in interferon-related genes in responder patients compared to non-responders. In COVID-19 patients we confirmed a global activated phenotype of the entire monocyte compartment, but our classification revealed that only cytotoxic monocytes are expanded during the disease progression. Collectively, this study unravels an unexpected complexity among human circulating monocytes and highlights the existence of specialized populations differently engaged depending on the pathological context.

Indexed as

COVID-19Gastrointestinal NeoplasmsHLA AntigensHumansImmunologic FactorsInterferonsMonocytesHLA AntigensImmunologic FactorsInterferonscancerCOVID-19immunotherapymachine learningmonocytesingle-cell transcriptome

Identifiers

PMID36263038
PMCPMC9576306

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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.