Back

Dynamic changes in the urine proteome of tumor-bearing mouse models of B16 melanoma and RM-1 prostate cancer

Li, L.; Pan, X.; Liu, Y.; Wang, T.; Gao, Y.

2020-04-04 biochemistry
10.1101/2020.04.03.023366 bioRxiv
Show abstract

Urine can accumulate changes and reflect early physiological and pathological changes of various diseases, such as tumors. Therefore, urine is an ideal source for identification of early biomarkers. In this study, melanoma and prostate cancer-bearing mouse models were established by subcutaneous injection of B16 and RM-1 cells, respectively. Urine samples were collected at four time points during tumor growth. Based on data-independent acquisition (DIA) technology, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used for quantitative analysis. Compared with those before the injection of B16 cells, 38 human homologous differential proteins were identified, and 18 proteins were reported to be related to melanoma. Before the tumor was visible, there were 4 differential proteins, and all were reported to be related to melanoma. Compared with that before the injection of RM-1 cells, a total of 14 human homologous differential proteins were identified, and 9 proteins were reported to be associated with prostate cancer. Before the tumor was palpable, 9 proteins showed significant differences. There were significant differences between the two tumor-bearing models. Through the above experiments and analysis, we found that the urine proteome can reflect the changes in the development and provide early biomarkers of the two tumors and provide clues for the early clinical diagnosis of these diseases.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.