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Record W7133108108

Investigating the Heterogeneity of Tumor Associated Macrophages in Human Hepatocellular Carcinoma

2025· dissertation· W7133108108 on OpenAlexaff
Lawrence Wood

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHepatocellular carcinomaImmune systemLiver cancerPhenotypeFlow cytometryMacrophageSecretion
DOInot available

Abstract

fetched live from OpenAlex

Hepatocellular carcinoma (HCC) is a liver cancer and is one of the leading causes of cancer death worldwide. Despite significant efforts in treating HCC, such as with the use of novel immune checkpoint inhibitors, the overall response rate remains low. This may be partly attributed to the lack of a clear understanding of the HCC immune microenvironment. However, a high density of regulatory macrophages is correlated with poor prognosis in HCC patients. Therefore, we hypothesized that macrophages in HCC liver are distinct from their healthy counterparts and exhibit a clear tumour-driven regulatory pro-tumourgenic phenotype. With our access to fresh HCC and healthy liver, we demonstrated with single-cell RNA sequencing and flow cytometry that HCC liver macrophages have a more regulatory, tumour-promoting phenotype. HCC Macrophages are transcriptionally distinct from canonical Kupffer cells and exhibit a higher composition of C1QA+Marcolo population. Macrophages in the HCC liver also had an increased expression of regulatory surface markers (such as CD206 and PDL1) and functional phenotype (decreased TNF-α secretion after LPS stimulation) with increasing proximity toward the tumour. Further, these described phenotypes are distinct from healthy liver macrophages and are also independent of HCC etiology. Next, we used an in vitro model to gain mechanistic insight into the interaction between the tumour and macrophages. We used three HCC cell lines (Huh7, HepaRG, and HepG2) that broadly reflected the heterogeneous nature of HCC and established a co-culture system with primary monocyte-derived macrophages (MoDM). Co-culture with all HCC lines resulted in macrophages that exhibited an HCC-like regulatory CD206hi and low TNF-α secretory phenotype. Secreted factors in the tumour-conditioned media from HCC cell lines were sufficient to modulate MoDM, ranging from well-differentiated macrophages to monocytes towards an HCC-like phenotype. Using cytometric bead array, we identified that growth factors of VEGF, MCSF, PDGF, and EPO were secreted by the three cell lines. Purified recombinant growth factors were sufficient to induce a regulatory phenotype in MoDM. Overall, this work demonstrated the unique surface and functional phenotypes exhibited by macrophages in the HCC liver and identified a potential key secreted tumour-derived growth factor as an important modulator of tumour macrophages.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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

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 head0.025
GPT teacher head0.312
Teacher spread0.287 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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