CD133 expression enriches for tumor-initiating cells and is a negative prognostic factor in numerous cancers. We previously developed an immunotoxin against CD133 by fusing a gene fragment encoding the scFv portion of an anti-CD133 antibody to a gene fragment encoding deimmunized PE38KDEL. The resulting fusion protein, dCD133KDEL, demonstrated potent antitumor activity following intratumoral delivery into head neck cell carcinoma xenografts. However, the efficacy against other tumors and the tolerability of systemic administration remained unclear. The purpose of this study was to evaluate the tolerability and efficacy of dCD133KDEL in a systemic human breast carcinoma model. Time course viability studies showed that dCD133KDEL selectively inhibited MDA-MB-231 ductal breast carcinoma cells that contained a minority CD133(+) subpopulation, implicating CD133(+) cells as a source for self-renewal within this cell line. Furthermore, systemic administration of dCD133KDEL caused regression or inhibition of tumor growth in mice bearing an intrasplenic MDA-MB-231 tumor challenge as a model for metastatic disease. In the same model, combined therapy with dCD133KDEL and another immunotoxin designed to target the bulk tumor mass was the most effective therapy, supporting the idea that such combination therapies might better address tumor heterogeneity. dCD133KDEL shows promise as a therapeutic agent and as a biologic tool to study cancer stem cells.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s13346-012-0066-2 | DOI Listing |
Lab Invest
December 2024
Department of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513 Japan.
Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical significance in esophageal squamous cell carcinoma (ESCC) is unknown. Artificial intelligence (AI) can quantitatively evaluate histopathological findings. The aim was to measure NS in ESCC using AI and elucidate its clinical significance.
View Article and Find Full Text PDFDaru
December 2024
Department of Biochemistry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Objective(s): Some forms of breast cancer such as triple-negative phenotype, are serious challenge because of high metastatic cases, high mortality and resistance to conventional therapy motivated the search for alternative treatment approaches. Nanomaterials are promising candidates and suitable alternatives for improving tumor and cancer cell treatments.
Materials And Methods: Biosynthesis of ZnO NPs by help of Berberis integerrima fruit extract, has been done.
Ann Med
December 2025
Department of Ultrasonographl, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, Shanxi Province, China.
Objective: To explore the differences of conventional ultrasound characteristics, elastic imaging parameters and clinicopathological characteristics of distinct molecular subtypes of breast cancer in young women, and to identify imaging parameters that exhibited significant associations with each molecular subtype.
Methods: We performed a retrospective analysis encompassing 310 young women with breast cancer. Observations were made regarding the ultrasonography and elastography characteristics of the identified breast lesions.
Nurs Open
January 2025
Department of Nursing, Zhongshan Hospital Xiamen University, Xiamen, China.
Aim: We explored demoralisation syndrome among post-operative patients with breast cancer and its relationship with patients' body image and marital intimacy.
Design: A cross-sectional study.
Methods: In this cross-sectional study, 237 patients with breast cancer who were hospitalised in the breast surgery department of Grade A tertiary hospital in Xiamen, China from June 2022 to December 2023 and met the standards of adaxation were selected by the convenience sampling method.
Iran Biomed J
December 2024
Department of Medical Laboratory Science, School of Paramedicine, Student Research Committee, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!