Mobilized CD34+ cells as a biomarker candidate for the efficacy of combined maximal tolerance dose and continuous infusional chemotherapy and G-CSF surge in gastric cancer

Sang Joon Shin, Hei Cheul Jeung, Joong Bae Ahn, Sun Young Rha, Nae Choon Yoo, Jae Kyung Roh, Sung Hoon Noh, Hyun Cheol Chung

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

We investigated whether the level of bone marrow-derived progenitor cells and mature endothelial cells could be used as predictors of clinical outcome in patients receiving taxotere-based chemotherapy for advanced gastric cancer. Peripheral blood mononuclear cells were obtained from 49 gastric cancer patients who received taxotere combined with 5-FU and leucovorin and prophylactic G-CSF treatment. To categorize the cells, the cell markers CD34, vWF, P1H12, and CD31 were stained. Changes in these cells were examined before and after chemotherapy, and the clinical significance of these changes to response prediction and prognosis were investigated. Before the second cycle of chemotherapy, the number of CD34+/vWF+ and CD34+ cells was higher in non-responders as compared to the responders. Patients with ≥6.2 CD34+/vWF+ cells/ml had a shorter progression free survival (3.7 months) as against patients with <6.2 CD34+/vWF+/ml (6.0 months, p = 0.076). Patients with ≥5.8 CD34+ cells/ml had shorter progression free survival (4.0 months) than patients with <5.8 CD34+ cells/ml (6.1 months, p = 0.046). In an ex vivo pharmacokinetic study, the maximum inhibition (Imax) for HUVEC and YCC3 cells was 13.0 ± 6.6% and 74.0 ± 2.0%, respectively. The time to reach Imax (Tmax) was 72 h in all HUVEC cells and 0.5 hours in YCC3 cells. We suggested that CD34+/vWF+ and CD34+ cells can be used as a biomarker for prediction and CD34+ cells for prognosis.

Original languageEnglish
Pages (from-to)269-276
Number of pages8
JournalCancer Letters
Volume270
Issue number2
DOIs
Publication statusPublished - 2008 Nov 8

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MOST) (R11-2000-082-03002-0, R11-2000-082-03006-0, R11-2000-082-02008-0).

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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