Literature DB >> 29511983

Local Interleukin-2 Immunotherapy of Breast Cancer: Benefit and Risk in a Spontaneous Mouse Model.

Svetlana G Semushina1, Dmitry A Aronov1, Ekaterina V Moiseeva2.   

Abstract

Earlier, naturally arising mammary cancer in BLRB female mice was shown to reproduce some key pathological characteristics of the familial set of human breast cancer. Then we advanced a novel 3S-paradigm of anticancer research that helped to develop selection criteria and to estimate benefit/risk of local interleukin-2 (IL-2) effects in this spontaneous mouse model. In this paper, the efficacy of single and triple local IL-2 doses is compared using properly selected murine BLRB females based on our previously published data. Only BLRB females bearing spontaneous mammary tumors without subclinical period were used. The tumor growth rate and recipient survival of single and triple IL-2 applications were compared with corresponding parameter values of untreated control. Tumor growth rate was decreased in both experimental groups versus control parameter values. Single IL-2 application resulted in a significant prolongation of the average survival time while triple application caused acute tumor rejection in some females decreasing the survival time of the rest of the recipients. As a result, proper treatment protocol in accurately selected females allowed increasing the complete response rate to 14% in spontaneous mouse model of breast cancer. In conclusion, our approaches may demonstrate the principle methodology developing preselection procedure for breast cancer patients for local IL-2 therapy application.

Entities:  

Keywords:  3S–paradigm; BLRB; Breast cancer; Interleukin-2; Spontaneous mouse model

Mesh:

Substances:

Year:  2018        PMID: 29511983     DOI: 10.1007/s12253-018-0396-6

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


  35 in total

1.  "First do no harm" revisited.

Authors:  Daniel K Sokol
Journal:  BMJ       Date:  2013-10-25

Review 2.  The immune system and inflammation in breast cancer.

Authors:  Xinguo Jiang; David J Shapiro
Journal:  Mol Cell Endocrinol       Date:  2013-06-19       Impact factor: 4.102

Review 3.  High-dose recombinant interleukin 2 therapy for patients with metastatic melanoma: analysis of 270 patients treated between 1985 and 1993.

Authors:  M B Atkins; M T Lotze; J P Dutcher; R I Fisher; G Weiss; K Margolin; J Abrams; M Sznol; D Parkinson; M Hawkins; C Paradise; L Kunkel; S A Rosenberg
Journal:  J Clin Oncol       Date:  1999-07       Impact factor: 44.544

4.  [Criteria for the effectiveness of interleukin-2 immunotherapy in a spontaneous murine mammary tumor model].

Authors:  E V Moiseeva; S G Semushina; A V Chaadaeva; E S Sadovnikova; Iu V Kessler
Journal:  Vopr Onkol       Date:  2010

5.  Interleukin-12 inhibits angiogenesis and growth of transplanted but not in situ mouse mammary tumor virus-induced mammary carcinomas.

Authors:  James C Lee; David C Kim; Michael S Gee; H Mark Saunders; Chandra M Sehgal; Michael D Feldman; Susan R Ross; William M F Lee
Journal:  Cancer Res       Date:  2002-02-01       Impact factor: 12.701

6.  "First do no harm" and the importance of prediction in oncology.

Authors:  Dainius Characiejus; Jasmina Hodzic; John J L Jacobs
Journal:  EPMA J       Date:  2010-07-17       Impact factor: 6.543

7.  Interleukin-2 administration after modified radical mastectomy in breast cancer therapy increases peripheral regulatory T cells.

Authors:  Yunli Li; Lei Zhou; Bei Sun; Xiaoxiao Li; Kaiming Duan; Yuhui Wu; Wen Ouyang
Journal:  Int J Clin Exp Med       Date:  2015-05-15

8.  Local and systemic effects during interleukin-2 therapy of mouse mammary tumors.

Authors:  J Vaage
Journal:  Cancer Res       Date:  1987-08-15       Impact factor: 12.701

Review 9.  Immunotherapy and Hormone-therapy in Metastatic Breast Cancer: A Review and an Update.

Authors:  Andrea Nicolini; Angelo Carpi; Paola Ferrari; Pier Mario Biava; Giuseppe Rossi
Journal:  Curr Drug Targets       Date:  2016       Impact factor: 3.465

10.  Population-based study of breast cancer in older women: prognostic factors of relative survival and predictors of treatment.

Authors:  Pegdwende Olivia Dialla; Tienhan Sandrine Dabakuyo; Sophie Marilier; Julie Gentil; Patrick Roignot; Ariane Darut-Jouve; Marie-Laure Poillot; Valérie Quipourt; Patrick Arveux
Journal:  BMC Cancer       Date:  2012-10-15       Impact factor: 4.430

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