Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 273

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Association of Autophagy Defect with a Malignant Phenotype and Poor Prognosis of Hepatocellular Carcinoma

Ding, Zhen-Bin, Shi, Ying-Hong, Zhou, Jian, Qiu, Shuang-Jian, Xu, Yang, Dai, Zhi, Shi, Guo-Ming, Wang, Xiao-Ying, Ke, Ai-Wu, Wu, Bin, Fan, Jia·2008·Cancer Research

Abstract

Hepatocellular carcinoma (HCC) is an aggressive cancer with a poor prognosis. The role of autophagy and the prognostic value of autophagic genes are largely unknown in HCC. Here, we showed decreased expression of autophagic genes and their corresponding autophagic activity and increased expression of the antiapoptotic gene Bcl-xL in HCC cell lines compared with a normal hepatic cell line. We also found decreased expression of the autophagic gene Beclin 1 in 44 HCC tissue samples compared with adjacent nontumor tissues. In addition, we found that the most aggressive malignant HCC cell lines and HCC tissues with recurrent disease displayed much lower autophagic levels, especially when Bcl-xL was overexpressed. Interestingly, in a tissue microarray study consisting of 300 HCC patients who underwent curative resection, the expression of Beclin 1 was only significantly correlated with disease-free survival (DFS; P < 0.0001) and overall survival (OS; P < 0.0001) in the Bcl-xL+ group. Multivariate and univariate analyses also revealed that Beclin 1 expression was an independent predictor for DFS and OS in Bcl-xL+ patients. In addition, we found a significant correlation between Beclin 1 expression and tumor differentiation in Bcl-xL+ but not in Bcl-xL− HCC patients. In conclusion, our data showed expression of autophagic genes and their corresponding autophagic activities were suppressed in HCC. The autophagy defects synergized with altered apoptotic activity might facilitate tumor malignant differentiation, which results in a more aggressive cancer cell phenotype and poor prognosis of HCC. [Cancer Res 2008;68(22):9167–75]

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/0008-5472.can-08-1573

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

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

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 273

Metadata

Authors
Ding, Z.-B., Shi, Y.-H., Zhou, J., Qiu, S.-J., Xu, Y., Dai, Z., Shi, G.-M., Wang, X.-Y., Ke, A.-W., Wu, B., & Fan, J.
Venue
Cancer Research
Published
2008-11-14
Volume
68
Issue
22
Pages
9167-9175
ISSN
  • 0008-5472 (ISSN-L)
  • 1538-7445
OpenAlex
W2096661568
Cited by
273
References
7
FWCI
7.88
Type
journal article
Language
en
Open access
closed

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.

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.