A total of 725 human primary breast tumor biopsy samples were analyzed for epidermal growth factor receptor (EGFR) content, using a multiple-point EGFR assay standardized in accordance with the recommendations of the European Organization for Research and Treatment of Cancer Receptor Study Group. After the establishment of a lower cell membrane protein threshold of 0.2 mg of membrane protein per ml of assay buffer, the results of 27% (194 samples) of the EGFR determinations were excluded from the study because of insufficient assay membrane protein content. Of the remaining 531 breast tumor biopsy samples, 57% (302 samples) were shown to be EGFR positive by Scatchard analysis, with a median value of 40 fmol/mg of membrane protein. Of the breast tumor biopsy samples, 72% (380 samples) were estrogen receptor (ER) positive, and 65% (344 samples) were progesterone receptor (PgR) positive. EGFR positivity was found in 46% (173 of 380) of ER-positive and in 85% (129 of 151) of ER-negative breast tumor biopsy samples (P less than 0.0001), as well as in 49% (168 of 344) of PgR-positive and in 72% (134 of 186) of PgR-negative breast tumor biopsy samples (P less than 0.0001). Mean EGFR levels in ER-positive breast tumor biopsy samples were lower than they were in ER-negative ones, 40 +/- 31 (SD) against 72 +/- 55 fmol/mg of membrane protein (P less than 0.0001). Similarly, mean EGFR levels in PgR-positive breast tumor biopsy samples were lower than they were in PgR-negative ones, 41 +/- 29 against 70 +/- 56 fmol/mg of membrane protein (P less than 0.0001). Both EGFR positivity and EGFR levels decreased with increasing steroid hormone receptor levels. A multivariate analysis showed only ER to be independently associated with EGFR.

Download full-text PDF

Source

Publication Analysis

Top Keywords

breast tumor
28
tumor biopsy
28
biopsy samples
28
membrane protein
24
fmol/mg membrane
12
00001 egfr
12
egfr levels
12
samples
11
egfr
10
epidermal growth
8

Similar Publications

Background: The identification of circulating potential biomarkers may help earlier diagnosis of breast cancer, which is critical for effective treatment and better disease outcomes. We aimed to study the role of circ-FAF1 as a diagnostic biomarker in female breast cancer using peripheral blood samples of these patients, and to investigate the relation between circ-FAF1 and different clinicopathological features of the included patients.

Methods And Results: This case-control study enrolled 60 female breast cancer patients and 60 age-matched healthy control subjects.

View Article and Find Full Text PDF

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis.

Sci Rep

January 2025

Center for Informatics Science (CIS), School of Information Technology and Computer Science, Nile University, 26th of July Corridor, Sheikh Zayed City, Giza, 12588, Egypt.

Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local and distant recurrence to improve treatment outcomes. This study develops and validates predictive models for breast cancer recurrence and metastasis using Recurrence-Free Survival Analysis and machine learning techniques. We merged datasets from the Molecular Taxonomy of Breast Cancer International Consortium, Memorial Sloan Kettering Cancer Center, Duke University, and the SEER program, creating a comprehensive dataset of 272, 252 rows and 23 columns.

View Article and Find Full Text PDF

Factors Associated With Short- and Long-Term Survival in Metastatic HER2-Positive Breast Cancer.

Clin Breast Cancer

January 2025

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA; Harvard Medical School, Boston, MA.

Background: We sought to evaluate prognostic factors in human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer (MBC) and their relationship with short- and long-term overall survival (OS).

Methods: Using the Surveillance, Epidemiology, and End Results (SEER) database, we evaluated patients with de novo HER2-positive MBC diagnosed from 2010 to 2018. Univariate analyses were performed to determine effect of each variable on OS.

View Article and Find Full Text PDF

Stabilised hyaluronic acid gel marker versus surgical clips for tumour bed delineation in breast cancer radiotherapy using MRI-simulation.

Radiother Oncol

January 2025

Department of Radiation Oncology Olivia Newton-John Cancer Wellness & Research Centre Austin Health Victoria Australia; Department of Medical Imaging and Radiation Sciences, Monash University Clayton Victoria Australia; Genesis Care, Ringwood Private Hospital Victoria Australia.

Background And Purpose: Compare breast cancer tumour bed (TB) delineation using stabilised hyaluronic acid (sHA) gel and MRI-simulation versus surgical clips and CT-simulation within same patient cohort.

Materials And Methods: Prospective single arm study of patients undergoing breast conserving surgery. Patients had both clips (≥5) and sHA gel markers inserted to define the TB and underwent MRI and CT simulation scans.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!