Literature DB >> 10702820

Eosinophils and C4 predict clinical failure of combination immunotherapy with very low dose subcutaneous interleukin-2 and interferon in renal cell carcinoma patients.

M Moroni1, C Porta, M De Amici, S Quaglini, M A Cattabiani, C Buzio.   

Abstract

BACKGROUND AND
OBJECTIVE: The clinical and immunologic activities of interleukin-2 (IL-2) in cancer patients have been extensively studied and described; however, in most of these studies, IL-2 was administered by intravenous bolus or continuous infusion, while the immunologic effects of IL-2 given by the subcutaneous (s.c.) route have not yet been well studied. DESIGN AND METHODS: The present study was aimed at evaluating the effects of IL-2, given at very low doses s.c. to patients with advanced renal cell carcinoma (RCC), on a number of immunologic parameters: number of total lymphocytes, number of CD4-, CD8-, CD25-positive cells, number of natural killer (NK) cells, titers of IL-2 soluble receptor (sIL-2R) and of C4, eosinophils, eosinophilic cationic protein (ECP) and eosinophilic protein X (EPX). Finally, a logistic regression model was performed to identify early immunologic parameters that correlate with a favorable or unfavorable treatment outcome.
RESULTS: Independently from the mere report of the changes induced by immunotherapy, the analysis showed that, within the pre-treatment model, a large eosinophil number predicts the failure of IL-2 treatment; in contrast, within the post-treatment model, high C4 serum titers and, again, a large number of circulating eosinophils predict immunotherapy failure. INTERPRETATION AND
CONCLUSIONS: As far as concerns C4, its negative predictive value could be related to the fact that it is an indirect index of macrophage activation; thus, even though macrophages release substances with antitumor activity, they can also stimulate the release of sIL-2R, which may compete for exogenous IL-2. Some authors have postulated that macrophages may even stimulate tumor cell growth, or impair NK activity. Despite a great amount of uncertainty concerning the role of eosinophils, in our study, blood eosinophilia predicts a poor response to immunotherapy in patients with advanced RCC, thus supporting previous observations from our own group.

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Year:  2000        PMID: 10702820

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  9 in total

Review 1.  Eosinophils in innate immunity: an evolving story.

Authors:  Revital Shamri; Jason J Xenakis; Lisa A Spencer
Journal:  Cell Tissue Res       Date:  2010-11-03       Impact factor: 5.249

2.  Context-dependent effects of IL-2 rewire immunity into distinct cellular circuits.

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Journal:  J Exp Med       Date:  2022-06-14       Impact factor: 17.579

3.  Predicting prostate cancer biochemical recurrence using a panel of serum proteomic biomarkers.

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Review 4.  Eosinophils in glioblastoma biology.

Authors:  Colleen S Curran; Paul J Bertics
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5.  Eosinophilia and risk of incident end stage kidney disease.

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6.  Analysis of changes in the total lymphocyte and eosinophil count during immunotherapy for metastatic renal cell carcinoma: correlation with response and survival.

Authors:  In Gab Jeong; Kyung Seok Han; Jae Young Joung; Woo Suk Choi; Seung Sik Hwang; Seung Ok Yang; Ho Kyung Seo; Jinsoo Chung; Kang Hyun Lee
Journal:  J Korean Med Sci       Date:  2007-09       Impact factor: 2.153

7.  Eosinophils in human oral squamous carcinoma; role of prostaglandin D2.

Authors:  Francis Davoine; Adrian Sim; Charlie Tang; Sibina Fisher; Caroline Ethier; Lakshmi Puttagunta; Yingqi Wu; W Tim McGaw; Donald Yu; Lisa Cameron; Darryl J Adamko; Redwan Moqbel
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Review 8.  Prognostic factors for biologic therapy in kidney cancer.

Authors:  Beverly J Drucker
Journal:  Curr Urol Rep       Date:  2002-02       Impact factor: 2.862

9.  Eosinophil percentage elevation as a prognostic factor for overall survival in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitor.

Authors:  Hong-Kai Wang; Fang-Nin Wan; Wei-Jie Gu; Yao Zhu; Bo Dai; Guo-Hai Shi; Hai-Liang Zhang; Ding-Wei Ye
Journal:  Oncotarget       Date:  2016-10-18
  9 in total

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