Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 204

The DOI matches its Crossref record.

Epidermal growth factor receptor expression in human pancreatic cancer: Significance for liver metastasis

Tobita, Kosuke, Kijima, Hiroshi, Dowaki, Shoichi, Kashiwagi, Hiroyuki, Ohtani, Yasuo, Oida, Yasuhisa, Yamazaki, Hitoshi, Nakamura, Masato, Ueyama, Yoshito, Tanaka, Makiko, Inokuchi, Sadaki, Makuuchi, Hiroyasu·2003·International Journal of Molecular Medicine

Abstract

Pancreatic cancer is a malignant tumor with an extremely poor prognosis. The mechanisms of the aggressive growth and metastasis are not yet extensively understood. Over-expression of epidermal growth factor receptor (EGFR) was suggested to be associated with malignant transformation of pancreatic cancer. We examined EGFR expression in 77 cases of invasive ductal adenocarcinoma of the pancreas, and analyzed the relation between the EGFR expression pattern and clinicopathological factors. EGFR immunoreactivity was detected in 41.6% (32/77) of human pancreatic cancers; i.e. diffuse expression in 32.5% (25/77) and focal expression in 9.1% (7/77). The EGFR expression was associated with gender (p<0.05), histological differentiation (p<0.05) and metastatic status of TNM classification (p<0.01). The observations suggested that EGFR expression plays important roles in metastasis, especially liver metastasis and recurrence of human pancreatic cancer.

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 · 10.3892/ijmm.11.3.305

Cites

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

Cited by

See all 204

Metadata

Authors
Tobita, K., Kijima, H., Dowaki, S., Kashiwagi, H., Ohtani, Y., Oida, Y., Yamazaki, H., Nakamura, M., Ueyama, Y., Tanaka, M., Inokuchi, S., & Makuuchi, H.
Venue
International Journal of Molecular Medicine
Published
2003-03-01
Volume
11
Issue
3
Pages
305-9
ISSN
  • 1107-3756 (ISSN-L)
  • 1791-244X
OpenAlex
W1991028764
Cited by
204
References
0
FWCI
2.91
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Epidermal growth factor receptor expression in human pancreatic cancer: Significance for liver metastasis. https://app.cochat.ai/papers/10.3892/ijmm.11.3.305
The paper
Tobita, K., Kijima, H., Dowaki, S., Kashiwagi, H., Ohtani, Y., Oida, Y., Yamazaki, H., Nakamura, M., Ueyama, Y., Tanaka, M., Inokuchi, S., & Makuuchi, H. (2003). Epidermal growth factor receptor expression in human pancreatic cancer: Significance for liver metastasis. International Journal of Molecular Medicine. https://doi.org/10.3892/ijmm.11.3.305

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.