Accurate evaluation of the treatment effects of immunotherapy on subcutaneous ovarian cancer in mice with nonlinear optical imaging and algorithmic analysis

Abstract

Immunotherapy and its evaluation have shown great promise for cancer treatment. Here, a mouse subcutaneous transplantable tumor model was applied to testing therapeutic strategies. The mouse model was treated by regulating anti-PD-L1, anti-CTLA-4, cisplatin and their combined therapy. Biochemistry experiments have found that after immunotherapy, mice have more immune responses, which were manifested by an increase in the content of growth factors and the activation of T cells. Meanwhile, multimodal nonlinear optical microscopy imaging combined with algorithms was used to evaluate the treatment's effectiveness. By detecting the metabolism rate and microstructure in tissue, it was proved that combined therapies including immune checkpoint inhibitors do have a better effect on ovarian tumors. Our discovery of valid treatments for mice with ovarian tumor and provides an evaluation tool via nonlinear optics combined with algorithms offers new insights into therapeutic effect.