Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 400

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Distinct Epidermal Growth Factor Receptor and KRAS Mutation Patterns in Non–Small Cell Lung Cancer Patients with Different Tobacco Exposure and Clinicopathologic Features

Tam, Issan Yee San, Chung, Lap Ping, Suen, Wai Sing, Wang, Elaine, Wong, May C.M., Ho, Kok Keung, Lam, Wah Kit, Chiu, Shui Wah, Girard, Luc, Minna, John D., Gazdar, Adi F., Wong, Maria P.·2006·Clinical Cancer Research

Abstract

Purpose: This study evaluated the mutational profile of epidermal growth factor receptor (EGFR) and KRAS in non–small cell lung cancers in Hong Kong and determined their relation with smoking history and other clinicopathologic features. Experimental Design: Mutational profile of exons 18 to 21 of EGFR and codons 12, 13, and 61 of KRAS were determined in 215 adenocarcinomas, 15 squamous cell (SCC), and 11 EBV-associated lymphoepithelioma-like carcinomas (LELC). Results: EGFR mutations were prevalent in adenocarcinomas (115 of 215), uncommon in LELC (1 of 11), and not found in SCC (P < 0.001). Among adenocarcinomas, mutations were associated with nonsmokers (83 of 111; P < 0.001), female gender (87 of 131; P < 0.001), and well-differentiated (55 of 86) compared with poorly differentiated (11 of 41) tumors (P < 0.001). Decreasing mutation rates with increasing direct tobacco exposure was observed, with 74.8% (83 of 111) in nonsmokers, 61.1% (11 of 18) in passive, 35.7% (10 of 28) in previous, and 19.0% (11 of 58) in current smokers. There were 53% amino acid substitutions, 43% in-frame deletions, and 4% insertions. Complex patterns with 13% double mutations, including five novel substitutions, were observed. For KRAS, mutations occurred in adenocarcinoma only (21 of 215) and were associated with smokers (11 of 58; P = 0.003), men (14 of 84; P = 0.009) and poorly differentiated (7 of 41) compared with well-differentiated (4 of 86) tumors (P = 0.037). EGFR and KRAS mutations occurred in mutually exclusive tumors. Regression analysis showed smoking history was the significant determinant for both mutations, whereas gender was a confounding factor. Conclusion: This study shows EGFR mutations are prevalent in lung adenocarcinoma and suggests that it plays an increasing oncogenic role with decreasing direct tobacco damage.

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 · 10.1158/1078-0432.ccr-05-1981

Cites

3 of 3 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

Show all 3 references

Cited by

See all 400

Metadata

Authors
Tam, I. Y. S., Chung, L. P., Suen, W. S., Wang, E., Wong, M. C. M., Ho, K. K., Lam, W. K., Chiu, S. W., Girard, L., Minna, J. D., Gazdar, A. F., & Wong, M. P.
Venue
Clinical Cancer Research
Published
2006-03-01
Volume
12
Issue
5
Pages
1647-1653
ISSN
  • 1078-0432 (ISSN-L)
  • 1557-3265
OpenAlex
W2108287705
Cited by
400
References
3
FWCI
23.35
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: Distinct Epidermal Growth Factor Receptor and KRAS Mutation Patterns in Non–Small Cell Lung Cancer Patients with Different Tobacco Exposure and Clinicopathologic Features. https://app.cochat.ai/papers/10.1158/1078-0432.ccr-05-1981
The paper
Tam, I. Y. S., Chung, L. P., Suen, W. S., Wang, E., Wong, M. C. M., Ho, K. K., Lam, W. K., Chiu, S. W., Girard, L., Minna, J. D., Gazdar, A. F., & Wong, M. P. (2006). Distinct Epidermal Growth Factor Receptor and KRAS Mutation Patterns in Non–Small Cell Lung Cancer Patients with Different Tobacco Exposure and Clinicopathologic Features. Clinical Cancer Research. https://doi.org/10.1158/1078-0432.ccr-05-1981

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.