Chemotherapy is the main treatment for triple-negative breast cancer (TNBC) due to the lack of effective targeted therapy. At present, neoadjuvant chemotherapy (NAC) is one of the standard treatment strategies. However, the response of patients to NAC is different, and how to identify effective or resistant individuals before treatment is an urgent clinical problem to be solved. The research progress on the prediction of NAC response for TNBC has many aspects, including imageomics, tumor immunology and genomics. Combining different factors to build a prediction model can better improve the prediction efficiency. With the development of gene detection technology, single-cell sequencing technology can exclude the influence of non-tumor cells in tumor microenvironment, accurately determine tumor subtypes, reveal drug resistance mechanisms, and may be applied to NAC in the future to improve the accuracy of prediction. This article reviews the latest research progress in predicting the efficacy of TNBC NAC.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |