Cited by 308Wnt/β-catenin signaling in development and cancerHepatocellular Carcinoma Treatment and PrognosisColorectal Cancer Treatments and Studies

The DOI matches its Crossref record; 39 of the 41 references it cites were found in a registry or an index; 37 of the 55 sources its claims cite were checked for support.

Wnt-Pathway Activation in Two Molecular Classes of Hepatocellular Carcinoma and Experimental Modulation by Sorafenib

Open access

Published version of a preprint

Abstract

Purpose: Hepatocellular carcinoma (HCC) is a heterogeneous cancer with active Wnt signaling. Underlying biologic mechanisms remain unclear and no drug targeting this pathway has been approved to date. We aimed to characterize Wnt-pathway aberrations in HCC patients, and to investigate sorafenib as a potential Wnt modulator in experimental models of liver cancer. Experimental Design: The Wnt-pathway was assessed using mRNA (642 HCCs and 21 liver cancer cell lines) and miRNA expression data (89 HCCs), immunohistochemistry (108 HCCs), and CTNNB1-mutation data (91 HCCs). Effects of sorafenib on Wnt signaling were evaluated in four liver cancer cell lines with active Wnt signaling and a tumor xenograft model. Results: Evidence for Wnt activation was observed for 315 (49.1%) cases, and was further classified as CTNNB1 class (138 cases [21.5%]) or Wnt-TGFβ class (177 cases [27.6%]). CTNNB1 class was characterized by upregulation of liver-specific Wnt-targets, nuclear β-catenin and glutamine-synthetase immunostaining, and enrichment of CTNNB1-mutation-signature, whereas Wnt-TGFβ class was characterized by dysregulation of classical Wnt-targets and the absence of nuclear β-catenin. Sorafenib decreased Wnt signaling and β-catenin protein in HepG2 (CTNNB1 class), SNU387 (Wnt-TGFβ class), SNU398 (CTNNB1-mutation), and Huh7 (lithium-chloride-pathway activation) cell lines. In addition, sorafenib attenuated expression of liver-related Wnt-targets GLUL, LGR5, and TBX3. The suppressive effect on CTNNB1 class–specific Wnt-pathway activation was validated in vivo using HepG2 xenografts in nude mice, accompanied by decreased tumor volume and increased survival of treated animals. Conclusions: Distinct dysregulation of Wnt-pathway constituents characterize two different Wnt-related molecular classes (CTNNB1 and Wnt-TGFβ), accounting for half of all HCC patients. Sorafenib modulates β-catenin/Wnt signaling in experimental models that harbor the CTNNB1 class signature. Clin Cancer Res; 18(18); 4997–5007. ©2012 AACR.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This study characterizes two distinct Wnt-activated hepatocellular carcinoma (HCC) molecular classes, CTNNB1 and Wnt-TGFβ, together accounting for 315/642 (49.1%) of analyzed HCCs. It further shows that sorafenib can suppress β-catenin/Wnt signaling in experimental liver cancer models, including CTNNB1-class-like HepG2 xenografts.

Key findings

  • Among 642 HCC samples, 315 (49.1%) showed active Wnt signaling: 138 (21.5%) were CTNNB1-class and 177 (27.6%) were Wnt-TGFβ-class.
  • CTNNB1-class was characterized by up-regulation of liver-related Wnt targets (7/9: GLUL, REG3A, LGR5, MERTK, TBX3, EPHB2, SPARCL1), nuclear/cytoplasmic β-catenin staining in 28/35 (80%) vs 18/108 (16.6%) non-Wnt HCCs, glutamine synthetase staining in 26/35 (74.3%) vs 23/108 (21.3%), and enrichment of a CTNNB1-mutation signature.
  • Wnt-TGFβ-class showed dysregulation of classical Wnt targets (e.g., MMP7, PLAU, RUNX2, CDC2, CCND3), activating alterations in FZD7, FZD6, TCF4, FRAT2, and ARBB2, absence of nuclear β-catenin, and enrichment in non-HCV etiology (35% vs 17% HCV-related).
  • Sorafenib decreased Wnt signaling and β-catenin protein in HepG2, SNU398, SNU387, and Huh7 cells; reduced GLUL, LGR5, and TBX3 expression; and in HepG2 xenografts reduced tumor volume and extended median survival from 22 days (control, n=7) to 34 days (treated, n=7).

Methods

  • The study analyzed mRNA expression from 642 HCCs and 21 liver cancer cell lines, miRNA expression from 89 HCCs, immunohistochemistry from 108 HCCs, and CTNNB1-mutation data from 91 HCCs, using training, validation, and public datasets.
  • Wnt-pathway assessment used 210 Wnt-related genes and 49 Wnt-related miRNAs, with nearest template prediction, Comparative Marker Selection, FDR<0.05, gene set enrichment analysis, and a generated CTNNB1-mutation signature.
  • Experimental validation used four liver cancer cell lines with TCF/LEF luciferase reporter assays, western blot, immunocytofluorescence, and RT-PCR, plus subcutaneous HepG2 xenografts in BALB/c mice treated with sorafenib at 30 mg/kg/day.

Limitations

  • The paper states that the mechanism by which sorafenib modulates Wnt signaling remains unclear, whether Wnt modulation contributes to sorafenib’s antitumoral benefit in patients is unknown, why Wnt-TGFβ-class lacks detectable protein-level activation is unresolved, and TCF4 isoform functions and miRNA functional relevance require further analysis.
  • Evident from the text: no patient treatment-response data are presented, so the clinical relevance of sorafenib’s Wnt-modulating effect is not established.
  • Evident from the text: the in vivo validation uses a small xenograft experiment (n=7 per group), and the main drug findings rely on cell lines and a HepG2 xenograft model rather than primary human tumors.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1158/1078-0432.ccr-11-2322

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

56 Own result · 19 Own interpretation · 12 Partly supported · 11 Supported · 6 No full text of the sources · 5 Own method · 1 Supported so far · 1 Mixed support · 1 Couldn’t confirm · accuracy not yet measured

Show all 70 claims

  • Probably not a substantial claim. 15
  • It may state two separate claims as one. 31
42 of 42
  • The paper relies on this without support.

    The HCC samples analyzed are representative of all HCC patients, so that the two Wnt-related classes account for half of all HCC patients.

    “accounting for half of all HCC patients.”
  • The paper relies on this without support.

    There is no universally accepted molecular classification for HCC.

    “However, there is no universally accepted molecular classification for this disease.”
  • The paper relies on this without support.

    HepG2 cells express a truncated β-catenin lacking the Ser/Thr domain that regulates its degradation, and SNU398 cells have a point mutation in a key Ser in the same domain (S37C).

    “HepG2 express a truncated β-catenin lacking the Ser/Thr domain that regulates its degradation whereas SNU398 have a point mutation in a key Ser in the same domain (S37C).”
  • The paper relies on this without support.

    The publicly available HCC genomic datasets and the HCC samples analyzed in this study are representative of HCC patients generally.

    “In an additional approach we interrogated 5 publicly available HCC genomic datasets representing a total of 407 patients to assess the relevance of Wnt-activation in HCC and to further confirm our class-specific Wnt-genes expression profiles.”
4 of 4

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Show all 41 references

Cited by

Sorted by citations

See all 308

Metadata

Authors
Lachenmayer, A., Alsinet, C., Savic, R., Cabellos, L., Toffanin, S., Hoshida, Y., Villanueva, A., Minguez, B., Newell, P., Tsai, H.-W., Barretina, J., Thung, S., Ward, S. C., Bruix, J., Mazzaferro, V., Schwartz, M., Friedman, S. L., & Llovet, J. M.
Affiliations
  • Düsseldorf University Hospital (DE)
  • Authors' Affiliations: 1Mount Sinai Liver Cancer Program (Divisions of Liver Diseases, Department of Medicine; Tisch Cancer Institute; Division of Surgical Oncology, Department of Surgery; Transplant Institute; Department of Pathology), Mount Sinai School of Medicine, New York, New York; 2Department of General-, Visceral- and Pediatric Surgery, University Hospital Düsseldorf, Düsseldorf, Germany; 3Barcelona Clinic Liver Cancer Group (BCLC; HCC Translational Research Laboratory and Liver Unit), Hospital Clínic, IDIBAPS, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), University of Barcelona; 4Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain; 5Hepato-Oncology Group, Department of Surgery and Experimental Oncology, National Cancer Institute, Milan, Italy; 6Cancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts; and 7Hepatobiliary Surgery Section, Providence Portland Medical Center, Portland, Oregon
Venue
Clinical Cancer Research
Published
2012-09-15
Volume
18
Issue
18
Pages
4997-5007
ISSN
  • 1078-0432 (ISSN-L)
  • 1557-3265
OpenAlex
W2148305615
Cited by
306
References
41
Citations by year
2026: 12 · 2025: 20 · 2024: 15 · 2023: 24 · 2022: 28 · 2021: 27 · 2020: 19 · 2019: 19 · 2018: 21 · 2017: 31 · 2016: 33 · 2015: 23 · 2014: 17 · 2013: 15 · 2012: 2
FWCI
6.62
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Clinical Cancer Research (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (submittedVersion)
  • PubMed Central (submittedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (1R01 DK 076986-01, R01DK076986, 1R01DK56621, 1R01DK37340, R01 DK056621, R01 DK037340)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Wnt/β-catenin signaling in development and cancer
  • Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
Keywords
Wnt signaling, sorafenib, CTNNB1 mutation, β-catenin, molecular classification, liver cancer cell lines, tumor xenografts, glutamine synthetase, Lgr5, TBX3, Wnt target genes
MeSH terms
Sorafenib, Animals, Antineoplastic Agents, Female, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Niacinamide, Phenylurea Compounds, Biomarkers, Tumor, Reproducibility of Results, Cluster Analysis, Transforming Growth Factor beta, Gene Expression Profiling, Genomics, Cell Line, Tumor, Protein Kinase Inhibitors, Wnt Proteins, beta Catenin, Mice, Hep G2 Cells, Wnt Signaling Pathway

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-23, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-23 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review