乳腺癌
仿形(计算机编程)
计算生物学
医学
生物信息学
生物
癌症
内科学
计算机科学
操作系统
作者
Kang Wang,Ioannis Zerdes,Henrik J. Johansson,Dhifaf Sarhan,Yizhe Sun,Dimitris C. Kanellis,Emmanouil G. Sifakis,Artur Mezheyeuski,Xingrong Liu,Niklas Dahl,Ingrid Hedenfalk,Jonas Bergh,Jiří Bártek,Thomas Hatschek,Janne Lehtiö,Alexios Matikas,Theodoros Foukakis
标识
DOI:10.1038/s41467-024-47932-y
摘要
Although metabolic reprogramming within tumor cells and tumor microenvironment (TME) is well described in breast cancer, little is known about how the interplay of immune state and cancer metabolism evolves during treatment. Here, we characterize the immunometabolic profiles of tumor tissue samples longitudinally collected from individuals with breast cancer before, during and after neoadjuvant chemotherapy (NAC) using proteomics, genomics and histopathology. We show that the pre-, on-treatment and dynamic changes of the immune state, tumor metabolic proteins and tumor cell gene expression profiling-based metabolic phenotype are associated with treatment response. Single-cell/nucleus RNA sequencing revealed distinct tumor and immune cell states in metabolism between cold and hot tumors. Potential drivers of NAC based on above analyses were validated in vitro. In summary, the study shows that the interaction of tumor-intrinsic metabolic states and TME is associated with treatment outcome, supporting the concept of targeting tumor metabolism for immunoregulation.
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