» Articles » PMID: 18496750

Efficacy and Safety of Erlotinib in Patients with Locally Advanced or Metastatic Breast Cancer

Overview
Specialty Oncology
Date 2008 May 23
PMID 18496750
Citations 73
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To evaluate the efficacy and safety of erlotinib in advanced breast cancer. Experimental design Multicenter, phase II study of erlotinib (150 mg orally daily). Cohort 1: progression after anthracyclines, taxanes, and capecitabine (n = 47). Cohort 2: progression after >1 chemotherapy for advanced-stage disease (n = 22). Primary endpoint was response rate (World Health Organization criteria). Secondary endpoints were safety, time to progression, and survival.

Results: One patient in each cohort (n = 2, 3.0%) had a partial response. Response duration was 17 weeks for the Cohort 1 patient and 32 weeks for the Cohort 2 patient. Median time to progression was 43 days for Cohort 1 (range 1-204) and 43 days for Cohort 2 (range 25-419). Common adverse events were diarrhea, rash, dry skin, asthenia, nausea, anorexia.

Conclusion: Erlotinib had minimal activity in unselected previously treated women with advanced breast cancer. Predictive factors are needed to identify breast cancer patients who may derive benefit from erlotinib treatment.

Citing Articles

Cold atmospheric plasma potentiates ferroptosis via EGFR(Y1068)-mediated dual axes on GPX4 among triple negative breast cancer cells.

Dai X, Xu Z, Lv X, Li C, Jiang R, Wang D Int J Biol Sci. 2025; 21(2):874-892.

PMID: 39781456 PMC: 11705651. DOI: 10.7150/ijbs.105455.


Molecular heterogeneity and MYC dysregulation in triple-negative breast cancer: genomic advances and therapeutic implications.

Priya , Kumar A, Kumar D 3 Biotech. 2025; 15(1):33.

PMID: 39777154 PMC: 11700964. DOI: 10.1007/s13205-024-04195-0.


Nuclear EGFR in breast cancer suppresses NK cell recruitment and cytotoxicity.

Escoto A, Hecksel R, Parkinson C, Crane S, Atwell B, King S Oncogene. 2024; 44(5):288-295.

PMID: 39521886 PMC: 11779631. DOI: 10.1038/s41388-024-03211-0.


Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity.

De Landtsheer S, Badkas A, Kulms D, Sauter T Brief Bioinform. 2024; 25(6).

PMID: 39494610 PMC: 11532660. DOI: 10.1093/bib/bbae567.


Cancer Patient-Derived Cell-Based Models: Applications and Challenges in Functional Precision Medicine.

Dinic J, Jovanovic Stojanov S, Dragoj M, Grozdanic M, Podolski-Renic A, Pesic M Life (Basel). 2024; 14(9).

PMID: 39337925 PMC: 11433531. DOI: 10.3390/life14091142.