Jian Hou1, Yi Ding2, Runlin Feng3

  • 1Department of Urology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.

Frontiers in oncology
|November 17, 2025
PubMed
概括

机器学习模型可以预测膀癌激进囊切除术后的辅助治疗反应. 关键预测因素包括瘤入侵和PD-L1/HER2表达,指导个性化治疗策略.

相关概念视频

Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against specific...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...