Evidence map›Paper›PMID 38308164›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

BCG as an Innovative Option for HCC Treatment: Repurposing and Mechanistic Insights.

Farzam Vaziri, Tahereh Setayesh, Ying Hu, Resmi Ravindran, Dongguang Wei, Yu-Jui Yvonne Wan

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Roles of FXR in Lipid Biochemistry within Hepatocellular Carcinoma Using MALDI MSI.Journal of the American Society for Mass Spectrometry · 2026
    Article
  4. Microbial medicines: Unlocking the therapeutic potential of the microbiome in cancer treatment.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Recent Advances of Trained immunity in Macrophages.International journal of biological sciences · 2025
    Review
  13. Article
  14. BCG as an Innovative Option for HCC Treatment: Repurposing and Mechanistic Insights.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Review
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

6 authors at 1 institution in 1 country.

Farzam VaziriDepartment of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, CA, 95817, USA.ORCID 0000-0001-7788-2548
Tahereh SetayeshDepartment of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, CA, 95817, USA.
Ying HuDepartment of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, CA, 95817, USA.
Resmi RavindranDepartment of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, CA, 95817, USA.
Dongguang WeiDepartment of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, CA, 95817, USA.
Yu-Jui Yvonne WanDepartment of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, CA, 95817, USA.ORCID 0000-0003-2243-7759
University of California Davis Medical Center · US

Funding

Training Program in Oncogenic Signals and Chromosome BiologyT32CA108459 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HEYER, WOLF-DIETRICH · 2006 to 2020
$3.6M
Liver Cancer Therapy by MiR-22 and Its InducersR01CA222490 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WAN, YU-JUI YVONNE · 2018 to 2023
$2.1M
Gut microbiota-derived signaling in liver carcinogenesis and cancer treatmentR50CA243787 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HU, YING · 2019 to 2023
$795k
NCI NIH HHS R01 CA222490NCI NIH HHS R50 CA243787NCI NIH HHS T32 CA108459NIH HHS R01CA222490NIH HHS R50CA243787NIH HHS T32 CA108459-15
6 · The paper itself

Abstract

This study investigates Bacillus Calmette-Guérin (BCG) as a potential treatment for hepatocellular carcinoma (HCC), a condition often associated with unfavorable treatment outcomes. Exploiting BCG's recognized immune-boosting properties, preclinical trials are conducted using HCC mice, with a single subcutaneous dose of BCG administered post-tumor formation. Results indicate that BCG treatment effectively diminishes tumor burden and extends survival in both male and female HCC mice. Positive influences on hepatic fibrosis and metabolism are observed, leading to a reduction in lipid levels. Spatial analysis underscores BCG's tumor-specific effects, inducing the enrichment of metabolic pathways and inhibiting various cancer-related pathways. Furthermore, BCG promotes immune cell infiltration, including CD4+, CD8+ T cells, and M1 macrophages, in both v-akt murine thymoma viral oncogene homolog 1(AKT)/neutoblastoma RAS viral oncogene homolog (RAS) and β-catenin positive HCC models. Interestingly, blocking T cells, trained immunity, and Interferon-γ (IFN-γ) function reverses BCG's anti-HCC effects. In conclusion, BCG emerges as a promising treatment option for HCC, characterized by a favorable safety profile and efficacy in inhibiting fibrosis, improving metabolism, and engaging both trained immunity and T cells in therapeutic mechanisms.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMycobacterium bovisAnimalsBCG VaccineFemaleMaleMiceProto-Oncogene Proteins c-aktBCG VaccineProto-Oncogene Proteins c-aktbacterial immunotherapyfibrosisinterferonlivertrained immunity

Identifiers

PMID38308164
PMCPMC11005731
OpenAlexW4391513505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.