Immunosurveillance and immunoediting in MMTV-PyMT-induced mammary oncogenesis

Emilie T E Gross1, Semi Han1, Prasantha Vemu1

  • 1Department of Pathology, University of California San Diego , San Diego, CA, USA.

Oncoimmunology
|March 28, 2017
PubMed

Insights

This study shows adaptive immune responses prevent mammary carcinoma development in a mouse model. Immune-deficient mice developed tumors faster, indicating cancer immunosurveillance is active.

Area of Science:

  • Immunology
  • Oncology
  • Carcinogenesis

Background:

  • Cancer immunosurveillance and immunoediting are primarily studied in high-mutation mouse models.
  • These models have limited relevance to human cancers, which often have lower mutational burdens.
  • Previous studies in the MMTV-PyMT model suggested adaptive immunity did not prevent primary cancer formation.

Purpose of the Study:

  • To investigate cancer immunosurveillance and immunoediting in a clinically relevant oncogene-induced mammary carcinoma model (MMTV-PyMT).
  • To determine if adaptive immunity plays a role in preventing tumor development in this model.
  • To analyze the impact of immune responses on tumor progression and cell line adaptation.

Main Methods:

  • Utilized MMTV-PyMT mammary carcinoma model in C57BL/6 mice.
  • Employed two models of immune deficiency: Rag1 knockout and tacrolimus immunosuppression.
  • Generated and transplanted PyMT cell lines into immunocompetent and immunodeficient hosts.

Main Results:

  • Immune-deficient PyMT mice exhibited accelerated mammary carcinoma development.
  • A subset of PyMT cell lines showed delayed growth in immunocompetent hosts, correlating with immune cell infiltration and differentiation.
  • Loss of immune infiltration transformed slow-growing lines into fast-growing variants in immunocompetent mice.

Conclusions:

  • Adaptive immunosurveillance actively prevents mammary carcinoma development in the MMTV-PyMT model.
  • Immunoediting shapes tumor progression by selecting for cell variants that evade immune detection.
  • This oncogene-induced model provides a relevant platform for studying cancer-immune interactions.