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Record W4308695772 · doi:10.1101/2022.11.09.515839

TREM1 <sup>+</sup> regulatory myeloid cells expand in steatohepatitis-HCC and associate with poor prognosis and therapeutic resistance to immune checkpoint blockade

2022· preprint· en· W4308695772 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicInflammation biomarkers and pathways
Canadian institutionsMcGill University
FundersFondation ARC pour la Recherche sur le CancerAchievement Rewards for College Scientists Foundation
KeywordsMyeloidImmune checkpointCancer researchImmunotherapyPopulationImmunologyCD33BiologyMedicineImmune systemStem cellCell biology

Abstract

fetched live from OpenAlex

ABSTRACT Hepatocellular carcinoma (HCC) is an inflammation-associated cancer arising from viral and non-viral etiologies. Immune checkpoint blockade primarily benefits patients with viral HCC. Expansion of suppressive myeloid cells is a hallmark of chronic inflammation and cancer, but their heterogeneity in HCC is not fully resolved and might underlie immunotherapy resistance in the steatohepatitis setting. Here, we present a high resolution atlas of hepatic innate immune cells from patients with HCC that unravels a steatohepatitis contexture characterized by the emergence of high entropy myeloid cell states and myeloid-biased NK cell differentiation. We identify a discrete population of tumor-infiltrating myeloid cells, predominant in the steatohepatitis setting, that expresses a variety of myeloid lineage-affiliated genes, including granulocyte, macrophage and dendritic cell features, and can be identified in HCC tumors based on selective dual expression of TREM1 and CD163 . Functional characterization reveals that TREM1 + CD163 + myeloid cells highly express TGFβ and IL-13RA, localize to HCC fibrotic lesions, and potently suppress T cell effector functions ex vivo , a function further potentiated by TREM1 engagement. We refer to this population as TREM1 + CD163 + regulatory myeloid cells (TREM1 + CD163 + M reg ). Deconvolution analyses in large cohorts of patients with HCC and other solid tumors reveals that the density of TREM1 + CD163 + M reg increases in advanced stages, associates with poor prognosis, and therapeutic resistance to PD-1 blockade. Our data support myeloid subset-targeted immunotherapies to treat HCC and identify TREM1 as a therapeutic target. HIGHLIGHTS Atlas of hepatic innate immune cells (100,000 transcriptomes) from patients with HCC Core signatures to identify, discriminate and localize innate lymphoid and myeloid cells A population of TREM1 + CD163 + myeloid cells, referred to as TREM1 + CD163 + M reg , expands in steatohepatitis HCC TREM1 + CD163 + M reg express granulocyte- and macrophage/dendritic cell-lineage genes TREM1 + CD163 + M reg potently suppress T cell effector functions, which is potentiated by TREM1 engagement by cognate ligands TREM1 + CD163 + M reg produce high levels of TGFβ and populate fibrotic lesions The density of TREM1 + CD163 + M reg increases in advanced HCC and associate with poor patient survival The density of TREM1 + CD163 + M reg associates with resistance to immune checkpoint blockade in other solid tumors

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.190
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it