SCOPUS 정보 검색 플랫폼

Volumn 82, Issue 5, 1998, Pages 874-877

Predicting response to adjuvant and radiation therapy in patients with early stage breast carcinoma

(4) Burke, Harry B a Hoang, Albert a Iglehart, J Dirk b Marks, Jeffrey R b

a NEW YORK MEDICAL COLLEGE (United States)

b DUKE UNIVERSITY SCHOOL OF MEDICINE (United States)

Author keywords

Artificial neural networks; Breast carcinoma; c erbB 2; Chemotherapy; Outcomes; P53; Prognostic factors; Radiation therapy; Tamoxifen therapy; TNM staging system

Indexed keywords

ONCOPROTEIN; PROTEIN P53; TAMOXIFEN;

ARTICLE; BREAST CARCINOMA; CANCER ADJUVANT THERAPY; CANCER RADIOTHERAPY; CANCER SCREENING; CANCER STAGING; CANCER SURVIVAL; EARLY DIAGNOSIS; FEMALE; HUMAN; LYMPH NODE METASTASIS; MAJOR CLINICAL STUDY; ONCOGENE NEU; PARTIAL MASTECTOMY; PRIORITY JOURNAL; PROGNOSIS; TUMOR SUPPRESSOR GENE;

ANTINEOPLASTIC AGENTS, HORMONAL; ANTINEOPLASTIC COMBINED CHEMOTHERAPY PROTOCOLS; BREAST NEOPLASMS; COMBINED MODALITY THERAPY; FEMALE; GENES, ERBB-2; GENES, P53; HUMANS; MASS SCREENING; NEOPLASM STAGING; PROGNOSIS; RADIOTHERAPY, ADJUVANT; TAMOXIFEN; TREATMENT OUTCOME;

EID: 0032032275 PISSN: 0008543X EISSN: None Source Type: Journal
DOI: 10.1002/(SICI)1097-0142(19980301)82:5<874::AID-CNCR11>3.0.CO;2-Y Document Type: Article

Times cited : (45)

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