Literature DB >> 26370419

The combinational therapy of trastuzumab and cetuximab inhibits tumor growth in a patient-derived tumor xenograft model of gastric cancer.

C J Wang1, P J Tong2, M Y Zhu3.   

Abstract

PURPOSE: Gastric cancer (GC) is one of the leading causes of cancer mortality worldwide. Although therapeutic strategies for GC have improved, the prognosis for advanced GC remains poor. Herein, the present study sought to design a personalized cancer therapy specific to a stage III GC patient.
METHODS: The tumor was surgically removed and was used to establish a patient-derived tumor xenograft (PDTX) model utilizing nude mice. Various molecular-targeted anticancer treatments were tested in the study, including control (no treatment), bevacizumab, cetuximab, bevacizumab + cetuximab, trastuzumab, and trastuzumab + cetuximab.
RESULTS: Trastuzumab + cetuximab treatment exhibited the best antitumor growth effect, followed by trastuzumab, bevacizumab + cetuximab, cetuximab, and bevacizumab. Similarly, trastuzumab + cetuximab was also the most effective treatment at inducing apoptosis and cell cycle arrest in primary cultures of the patient's gastric cancer cells. Among all treatments tested in the study, trastuzumab + cetuximab showed the most profound effect in reducing the protein expression of proliferation and metastatic markers (VEGF, MMP-7, EGFT, Ki-67 and, PCNA) in tumors obtained from PDTX models, which may be the mechanism underlying the profound antitumor growth effect exerted by trastuzumab + cetuximab.
CONCLUSIONS: The data indicate that trastuzumab + cetuximab combinational therapy should be the most effective antitumor growth therapy for the GC patient whom we took the cancer cells from.

Entities:  

Keywords:  Cetuximab; Chemotherapy; Gastric cancer; Patient-derived tumor xenograft; Trastuzumab; Tumor growth

Mesh:

Substances:

Year:  2015        PMID: 26370419     DOI: 10.1007/s12094-015-1397-5

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  33 in total

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2.  An in vivo platform for translational drug development in pancreatic cancer.

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Journal:  Clin Cancer Res       Date:  2006-08-01       Impact factor: 12.531

3.  Evaluation of proliferating markers Ki-67, PCNA in gastric cancers.

Authors:  J Czyzewska; K Guzińska-Ustymowicz; A Lebelt; B Zalewski; A Kemona
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Review 4.  Targeted therapy with bevacizumab (Avastin) for metastatic colorectal cancer.

Authors:  G V Koukourakis; A Sotiropoulou-Lontou
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5.  Cancer of the stomach. A patient care study by the American College of Surgeons.

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7.  Establishment of patient-derived non-small cell lung cancer xenografts as models for the identification of predictive biomarkers.

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10.  Targeting EGFR and HER-2 with cetuximab- and trastuzumab-mediated immunotherapy in oesophageal squamous cell carcinoma.

Authors:  Y Kawaguchi; K Kono; K Mimura; F Mitsui; H Sugai; H Akaike; H Fujii
Journal:  Br J Cancer       Date:  2007-07-10       Impact factor: 7.640

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  4 in total

Review 1.  Patient-Derived Xenograft: A More Standard "Avatar" Model in Preclinical Studies of Gastric Cancer.

Authors:  Mingtang Zeng; Chao Pi; Ke Li; Lin Sheng; Ying Zuo; Jiyuan Yuan; Yonggen Zou; Xiaomei Zhang; Wenmei Zhao; Robert J Lee; Yumeng Wei; Ling Zhao
Journal:  Front Oncol       Date:  2022-05-19       Impact factor: 5.738

Review 2.  Current status and perspectives of patient-derived xenograft models in cancer research.

Authors:  Yunxin Lai; Xinru Wei; Shouheng Lin; Le Qin; Lin Cheng; Peng Li
Journal:  J Hematol Oncol       Date:  2017-05-12       Impact factor: 17.388

3.  PCC0208027, a novel tyrosine kinase inhibitor, inhibits tumor growth of NSCLC by targeting EGFR and HER2 aberrations.

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Review 4.  Multicellular Modelling of Difficult-to-Treat Gastrointestinal Cancers: Current Possibilities and Challenges.

Authors:  Sarah K Hakuno; Ellis Michiels; Eleonore B Kuhlemaijer; Ilse Rooman; Lukas J A C Hawinkels; Marije Slingerland
Journal:  Int J Mol Sci       Date:  2022-03-15       Impact factor: 5.923

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