Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Relationships between EGFR mutation status of lung cancer and preoperative factors - are they predictive?

Asian Pacific journal of cancer prevention : APJCP - 1 Jan 2014

Usuda Katsuo, Sagawa Motoyasu, Motono Nozomu, Ueno Masakatsu, Tanaka Makoto, Machida Yuichiro, Matoba Munetaka, Taniguchi Mitsuru, Tonami Hisao, Ueda Yoshimichi, Sakuma Tsutomu

Abstract excerpt

BACKGROUND: The epidermal growth factor receptor (EGFR) mutation status of lung cancer is important because it means that EGFR-tyrosine kinase inhibitor treatment is indicated. The purpose of this prospective study is to determine whether EGFR mutation status could be identified with reference to...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adenocarcinoma, Mucinous
Share to Carcinoma, Large Cell

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Carcinoma, Squamous Cell

Share to Neoplasm Staging

Share to Positron-Emission Tomography

Share to Preoperative Care

Share to Survival Rate

Share to Tomography, X-Ray Computed

Source

Identifiers

PMID: 24568474
DOI: 10.7314/apjcp.2014.15.2.657

Genes

EGFR

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-24568474-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Relationships between EGFR mutation status of lung cancer and preoperative factors - are they predictive?PMID 24568474Read ↗

Nomogram Based on Preoperative CT Imaging Predicts The EGFR Mutation Status in Lung AdenocarcinomaSemantic proximity Read ↗

Prediction model based on 18F-FDG PET/CT radiomic features and clinical factors of EGFR mutations in lung adenocarcinoma.Semantic proximity Read ↗

Advances in EGFR as a Predictive Marker in Lung Adenocarcinoma.Semantic proximity Read ↗

Value of ¹⁸F-FDG uptake on PET/CT and CEA level to predict epidermal growth factor receptor mutations in pulmonary adenocarcinoma.Semantic proximity Read ↗

Clinical and radiological predictors of epidermal growth factor receptor mutation in nonsmall cell lung cancer.Semantic proximity Read ↗

Imaging-Based Surrogate Markers of Epidermal Growth Factor Receptor Mutation in Lung Adenocarcinoma: A Local Perspective.Semantic proximity Read ↗

Predicting EGFR mutation status in lung cancer:Proposal for a scoring model using imaging and demographic characteristics.Semantic proximity Read ↗

A Predictive Model of EGFR Mutation Status in Patients with Lung Adenocarcinoma Based on PET/CT Metabolic Indexes and Clinicopathological VariablesSemantic proximity Read ↗

Radiogenomic correlation in lung adenocarcinoma with epidermal growth factor receptor mutations: Imaging features and histological subtypes.Semantic proximity Read ↗

Predictive radiogenomics modeling of EGFR mutation status in lung cancer.Semantic proximity Read ↗

[The value of CT radiomics in the prediction of EGFR mutation in lung cancer].Semantic proximity Read ↗

Establishment and Evaluation of EGFR Mutation Prediction Model Based on Tumor Markers and CT Features in NSCLC.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.