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Kumar P, Das G, Bhaskar S. Mycobacterium indicus pranii therapy induces tumor regression in MyD88- and TLR2-dependent manner. BMC Res Notes 2019; 12:648. [PMID: 31590685 PMCID: PMC6781299 DOI: 10.1186/s13104-019-4679-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 09/28/2019] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Mycobacterium indicus pranii (MIP) is an atypical mycobacterium species with potent antitumor efficacy. Macrophages and dendritic cells (DCs) are antigen-presenting cells, playing key roles in the activation of antitumor immunity. We have previously shown the potent activation of macrophages and DCs by MIP, which is mediated by MyD88-TLR2 signaling axis. In the present study, we further examined the role of MyD88 and TLR2 in MIP-mediated tumor regression. RESULTS Wild-type and MyD88-/- mice were implanted with B16F10 tumor cells, treated with MIP or phosphate-buffered saline (PBS) and monitored for tumor growth. As expected, MIP therapy led to significant tumor regression in wild-type mice. However, antitumor efficacy of MIP was lost in MyD88-/- animals. Both PBS-treated (control) and MIP-treated MyD88-/- mice developed tumors with comparable volume. Since MyD88 relays TLR engagement signals, we analyzed the antitumor efficacy of MIP in TLR2-/- and TLR4-/- mice. It was observed that MIP therapy reduced tumor burden in wild-type and TLR4-/- mice but not in TLR2-/- mice. Tumor volume in MIP-treated TLR2-/- mice were comparable with those in PBS-treated wild-type animals. These results implicated the MyD88-TLR2 signaling axis in the antitumor efficacy of MIP.
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Affiliation(s)
- Pawan Kumar
- PDC-I, National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India.,Dept. of Preventive Oncology, Dr. B. R. Ambedkar Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Gobardhan Das
- Special Centre for Molecular Medicine, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Sangeeta Bhaskar
- PDC-I, National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India.
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Benitez MLR, Bender CB, Oliveira TL, Schachtschneider KM, Collares T, Seixas FK. Mycobacterium bovis BCG in metastatic melanoma therapy. Appl Microbiol Biotechnol 2019; 103:7903-7916. [PMID: 31402426 DOI: 10.1007/s00253-019-10057-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 07/22/2019] [Accepted: 07/26/2019] [Indexed: 12/13/2022]
Abstract
Melanoma is the most aggressive form of skin cancer, with a high mortality rate and with 96,480 new cases expected in 2019 in the USS. BRAFV600E, the most common driver mutation, is found in around 50% of melanomas, contributing to tumor growth, angiogenesis, and metastatic progression. Dacarbazine (DTIC), an alkylate agent, was the first chemotherapeutic agent approved by the US Food and Drug Administration (FDA) used as a standard treatment. Since then, immunotherapies have been approved for metastatic melanoma (MM) including ipilimumab and pembrolizumab checkpoint inhibitors that help decrease the risk of progression. Moreover, Mycobacterium bovis Bacillus Calmette-Guerin (BCG) serves as an adjuvant therapy that induces the recruitment of natural killer NK, CD4+, and CD8+ T cells and contributes to antitumor immunity. BCG can be administered in combination with chemotherapeutic and immunotherapeutic agents and can be genetically manipulated to produce recombinant BCG (rBCG) strains that express heterologous proteins or overexpress immunogenic proteins, increasing the immune response and improving patient survival. In this review, we highlight several studies utilizing rBCG immunotherapy for MM in combination with other therapeutic agents.
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Affiliation(s)
- Martha Lucia Ruiz Benitez
- Laboratory of Cancer Biotechnology, Technology Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Camila Bonnemann Bender
- Laboratory of Cancer Biotechnology, Technology Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Thaís Larré Oliveira
- Laboratory of Cancer Biotechnology, Technology Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Kyle M Schachtschneider
- Department of Radiology, University of Illinois at Chicago, Chicago, IL, USA.,Department of Biochemistry & Molecular Genetics, University of Illinois at Chicago, Chicago, IL, USA.,National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Tiago Collares
- Laboratory of Cancer Biotechnology, Technology Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Fabiana Kömmling Seixas
- Laboratory of Cancer Biotechnology, Technology Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
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