Literature DB >> 12881807

Quantitating cellular immune responses to cancer vaccines.

H Kim Lyerly1.   

Abstract

While the future of immunotherapy in the treatment of cancer is promising, it is difficult to compare the various approaches because monitoring assays have not been standardized in approach or technique. Common assays for measuring the immune response need to be established so that these assays can one day serve as surrogate markers for clinical response. Assays that accurately detect and quantitate T-cell-mediated, antigen-specific immune responses are particularly desired. However, to date, increases in the number of cytotoxic T cells through immunization have not been correlated with clinical tumor regression. Ideally, then, a T-cell assay not only needs to be sensitive, specific, reliable, reproducible, simple, and quick to perform, it must also demonstrate close correlation with clinical outcome. Assays currently used to measure T-cell response are delayed-type hypersensitivity testing, flow cytometry using peptide major histocompatibility complex tetramers, lymphoproliferation assay, enzyme-linked immunosorbant assay, enzyme-linked immunospot assay, cytokine flow cytometry, direct cytotoxicity assay, measurement of cytokine mRNA by quantitative reverse transcriptase polymerase chain reaction, and limiting dilution analysis. The purpose of this review is to describe the attributes of each test and compare their advantages and disadvantages.

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Year:  2003        PMID: 12881807     DOI: 10.1016/s0093-7754(03)00230-6

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  10 in total

1.  Testing for HLA/peptide tetramer-binding to the T cell receptor complex on human T lymphocytes.

Authors:  Pauline Weder; Ton N M Schumacher; Hergen Spits; Rosalie M Luiten
Journal:  Results Immunol       Date:  2012-05-10

Review 2.  New flow cytometric assays for monitoring cell-mediated cytotoxicity.

Authors:  Liubov Zaritskaya; Michael R Shurin; Thomas J Sayers; Anatoli M Malyguine
Journal:  Expert Rev Vaccines       Date:  2010-06       Impact factor: 5.217

3.  Design of Personalized Neoantigen RNA Vaccines Against Cancer Based on Next-Generation Sequencing Data.

Authors:  Begoña Alburquerque-González; María Dolores López-Abellán; Ginés Luengo-Gil; Silvia Montoro-García; Pablo Conesa-Zamora
Journal:  Methods Mol Biol       Date:  2022

4.  Estimating point and interval frequency of antigen-specific CD4+ T cells based on short in vitro expansion and improved poisson distribution analysis.

Authors:  Giulia Di Lullo; Francesca Ieva; Renato Longhi; Anna Maria Paganoni; Maria Pia Protti
Journal:  PLoS One       Date:  2012-08-07       Impact factor: 3.240

5.  Cancer vaccines: Looking to the future.

Authors:  Kavitha Yaddanapudi; Robert A Mitchell; John W Eaton
Journal:  Oncoimmunology       Date:  2013-03-01       Impact factor: 8.110

6.  Protective antitumor immunity induced by tumor cell lysates conjugated with diphtheria toxin and adjuvant epitope in mouse breast tumor models.

Authors:  Ze-Yu Wang; Yun Xing; Bin Liu; Lei Lu; Xiao Huang; Chi-Yu Ge; Wen-Jun Yao; Mao-Lei Xu; Zhen-Qiu Gao; Rong-Yue Cao; Jie Wu; Tai-Ming Li; Jing-Jing Liu
Journal:  Chin J Cancer       Date:  2012-03-27

7.  Revisiting immunosurveillance and immunostimulation: Implications for cancer immunotherapy.

Authors:  Christine V Ichim
Journal:  J Transl Med       Date:  2005-02-08       Impact factor: 5.531

8.  ELISPOT Assay for Monitoring Cytotoxic T Lymphocytes (CTL) Activity in Cancer Vaccine Clinical Trials.

Authors:  Anatoli M Malyguine; Susan Strobl; Kimberly Dunham; Michael R Shurin; Thomas J Sayers
Journal:  Cells       Date:  2012-05-10       Impact factor: 6.600

9.  In Silico Model Estimates the Clinical Trial Outcome of Cancer Vaccines.

Authors:  Orsolya Lőrincz; József Tóth; Levente Molnár; István Miklós; Kata Pántya; Mónika Megyesi; Eszter Somogyi; Zsolt Csiszovszki; Enikő R Tőke
Journal:  Cells       Date:  2021-11-05       Impact factor: 6.600

Review 10.  Update on vaccine development for renal cell cancer.

Authors:  Nina Chi; Jodi K Maranchie; Leonard J Appleman; Walter J Storkus
Journal:  Open Access J Urol       Date:  2010-08-04
  10 in total

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