Literature DB >> 22071976

Gene expression profiles in peripheral blood as a biomarker in cancer patients receiving peptide vaccination.

Nobukazu Komatsu1, Satoko Matsueda, Kousuke Tashiro, Tetsuya Ioji, Shigeki Shichijo, Masanori Noguchi, Akira Yamada, Atsushi Doi, Shigetaka Suekane, Fukuko Moriya, Kei Matsuoka, Satoru Kuhara, Kyogo Itoh, Tetsuro Sasada.   

Abstract

BACKGROUND: Because only a subset of patients show clinical responses to peptide-based cancer vaccination, it is critical to identify biomarkers for selecting patients who would most likely benefit from this treatment.
METHODS: The authors characterized the gene expression profiles in peripheral blood of vaccinated patients to identify biomarkers to predict patient prognosis. Peripheral blood was obtained from advanced castration-resistant prostate cancer patients, who survived for >900 days (long-term survivors, n = 20) or died within 300 days (short-term survivors, n = 20) after treatment with personalized peptide vaccination. Gene expression profiles in prevaccination and postvaccination peripheral blood mononuclear cells (PBMCs) were assessed by DNA microarray.
RESULTS: There were no statistically significant differences in the clinical or pathological features between the 2 groups. Microarray analysis of prevaccination PBMCs identified 19 genes that were differentially expressed between the short-term and long-term survivors. Among the 15 up-regulated genes in the short-term survivors, 13 genes, which were also differentially expressed in postvaccination PBMCs, were associated with gene signatures of granulocytes. When a set of 4 differentially expressed genes were selected as the best combination to determine patient survival, prognosis was correctly predicted in 12 of 13 patients in a validation set (accuracy, 92%).
CONCLUSIONS: These results suggested that abnormal granulocytes present in the PBMC faction may contribute to poor prognosis in advanced prostate cancer patients receiving personalized peptide vaccination. Gene expression profiling in peripheral blood might thus be informative for devising better therapeutic strategies by predicting patient prognosis after cancer vaccines.
Copyright © 2011 American Cancer Society.

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Year:  2011        PMID: 22071976     DOI: 10.1002/cncr.26636

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  12 in total

1.  Personalized peptide vaccination: a novel immunotherapeutic approach for advanced cancer.

Authors:  Tetsuro Sasada; Masanori Noguchi; Akira Yamada; Kyogo Itoh
Journal:  Hum Vaccin Immunother       Date:  2012-08-16       Impact factor: 3.452

2.  Infiltrating Myeloid Cells Exert Protumorigenic Actions via Neutrophil Elastase.

Authors:  Irina Lerman; Maria de la Luz Garcia-Hernandez; Javier Rangel-Moreno; Luis Chiriboga; Chunliu Pan; Kent L Nastiuk; John J Krolewski; Aritro Sen; Stephen R Hammes
Journal:  Mol Cancer Res       Date:  2017-05-16       Impact factor: 5.852

3.  Evaluation of antigen specific recognition and cell mediated cytotoxicity by a modified lysispot assay in a rat colon carcinoma model.

Authors:  Valentina Bordignon; Paola Cordiali-Fei; Monica Rinaldi; Emanuela Signori; Andrea Cottarelli; Manuela Zonfrillo; Fabrizio Ensoli; Guido Rasi; Maria Pia Fuggetta
Journal:  J Exp Clin Cancer Res       Date:  2012-02-01

4.  Molecular profiling of peripheral blood is associated with circulating tumor cells content and poor survival in metastatic castration-resistant prostate cancer.

Authors:  Mercedes Marín-Aguilera; Òscar Reig; Juan José Lozano; Natalia Jiménez; Susana García-Recio; Nadina Erill; Lydia Gaba; Andrea Tagliapietra; Vanesa Ortega; Gemma Carrera; Anna Colomer; Pedro Gascón; Begoña Mellado
Journal:  Oncotarget       Date:  2015-04-30

5.  Syndecan-4 as a biomarker to predict clinical outcome for glioblastoma multiforme treated with WT1 peptide vaccine.

Authors:  Satoshi Takashima; Yoshihiro Oka; Fumihiro Fujiki; Soyoko Morimoto; Hiroko Nakajima; Yoshiki Nakae; Jun Nakata; Sumiyuki Nishida; Naoki Hosen; Naoya Tatsumi; Kenji Mizuguchi; Naoya Hashimoto; Yusuke Oji; Akihiro Tsuboi; Atsushi Kumanogoh; Haruo Sugiyama
Journal:  Future Sci OA       Date:  2016-10-03

6.  Analyses of 123 Peripheral Human Immune Cell Subsets: Defining Differences with Age and between Healthy Donors and Cancer Patients Not Detected in Analysis of Standard Immune Cell Types.

Authors:  Lauren M Lepone; Renee N Donahue; Italia Grenga; Simon Metenou; Jacob Richards; Christopher R Heery; Ravi A Madan; James L Gulley; Jeffrey Schlom
Journal:  J Circ Biomark       Date:  2016-03-10

7.  Changes in the liver transcriptome of farmed Atlantic salmon (Salmo salar) fed experimental diets based on terrestrial alternatives to fish meal and fish oil.

Authors:  Albert Caballero-Solares; Xi Xue; Christopher C Parrish; Maryam Beheshti Foroutani; Richard G Taylor; Matthew L Rise
Journal:  BMC Genomics       Date:  2018-11-03       Impact factor: 3.969

8.  Immune cell subsets and their gene expression profiles from human PBMC isolated by Vacutainer Cell Preparation Tube (CPT™) and standard density gradient.

Authors:  Christopher P Corkum; Danielle P Ings; Christopher Burgess; Sylwia Karwowska; Werner Kroll; Tomasz I Michalak
Journal:  BMC Immunol       Date:  2015-08-26       Impact factor: 3.615

9.  Personalized peptide vaccination for advanced colorectal cancer.

Authors:  Tetsuro Sasada; Shiro Kibe; Yoshito Akagi; Kyogo Itoh
Journal:  Oncoimmunology       Date:  2015-02-03       Impact factor: 8.110

10.  Evaluation of prognostic significance of granulocyte-related factors in cancer patients undergoing personalized peptide vaccination.

Authors:  Shinjiro Sakamoto; Munehiro Yoshitomi; Shigeru Yutani; Yasuhiro Terazaki; Koichi Yoshiyama; Tetsuya Ioji; Satoko Matsueda; Akira Yamada; Shinzo Takamori; Kyogo Itoh; Noboru Hattori; Nobuoki Kohno; Tetsuro Sasada
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

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