Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer
(2024) In Nature Communications 15(1).- Abstract
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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2024-12
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nature Communications
- volume
- 15
- issue
- 1
- article number
- 3837
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:38714665
- scopus:85192374349
- ISSN
- 2041-1723
- DOI
- 10.1038/s41467-024-47932-y
- language
- English
- LU publication?
- yes
- id
- 509f3316-c44d-4990-8e59-098abb706bcb
- date added to LUP
- 2025-01-09 11:56:29
- date last changed
- 2025-07-11 03:12:25
@article{509f3316-c44d-4990-8e59-098abb706bcb, abstract = {{<p>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.</p>}}, author = {{Wang, Kang and Zerdes, Ioannis and Johansson, Henrik J. and Sarhan, Dhifaf and Sun, Yizhe and Kanellis, Dimitris C. and Sifakis, Emmanouil G. and Mezheyeuski, Artur and Liu, Xingrong and Loman, Niklas and Hedenfalk, Ingrid and Bergh, Jonas and Bartek, Jiri and Hatschek, Thomas and Lehtiö, Janne and Matikas, Alexios and Foukakis, Theodoros}}, issn = {{2041-1723}}, language = {{eng}}, number = {{1}}, publisher = {{Nature Publishing Group}}, series = {{Nature Communications}}, title = {{Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer}}, url = {{http://dx.doi.org/10.1038/s41467-024-47932-y}}, doi = {{10.1038/s41467-024-47932-y}}, volume = {{15}}, year = {{2024}}, }