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Proteogenomics analysis of high-grade gliomas offers hints on tumor evolution

by Medical Xpress
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Graphical abstract. Credit: Cancer Cell (2024). DOI: 10.1016/j.ccell.2024.06.004

In August 2023, a team of researchers including Dr. Eduard Porta, group leader at the Josep Carreras Institute, published a thorough analysis of the effects of cancer driver alterations found across different cancer types, ranging from epigenetic dysregulation to protein-protein interactions. That study provided a deeper perspective on cancer and yielded valuable data for clinical research in the future.

In a recent publication in the journal Cancer Cell, the Consortium focused on one of the deadliest types of cancer, , and provided the most detailed analysis of what is going on in those cells, until now. High-grade gliomas are a family of aggressive brain tumors with an overall 5-year survival below 5%.

In particular, the research team concentrated on the underlying tumor progression and recurrence of two gliomas: glioblastoma and IDH-mutant grade 4 astrocytoma. They took samples from over 200 patients and extracted virtually all the information current molecular analysis allow, like DNA sequencing, DNA methylation status, RNA expression, broad proteomic profiling and metabolic state. Through computational analyses, the team then explored the molecular features of the gliomas in various biological contexts, such as in the presence of particular mutations or in light of tumor progression.

One of the strengths of the study is that 53 of the samples were longitudinal, meaning the researchers had paired samples from the same patient with his/her primary tumor and another sample taken after post-treatment recurrence. This setting offered a unique opportunity to see how tumors evolve in the real world.

Results showed that tumor evolution shifted to decrease expression of genes related to the cell cycle and DNA repair mechanisms. Analysis of the broader tumor microenvironment also showed differences in recurrent tumors, with different contributions of cell types in charge of specialized functions, like those comprising vasculature. The research also described, with unprecedented precision, particular genetic and epigenetic events associated with recurrent disease.

Beyond that, the depth of the analysis allowed for a thorough description of how other processes may play a role in and recurrence, like trans effects—genes acting upon distant molecular species, protein post translational modifications—like glycosylation, able to disrupt normal —and phosphorylation—able to activate or deactivate proteins like a switch.

Interestingly, many recurrent tumors shared common molecular characteristics. These similar features provide insights for future investigation, and some may end up serving as useful clinical targets for preventing disease recurrence in patients.

The amount of information made available by the Consortium will be used in the coming years as a reliable source for many other researchers. As a sneak peek, however, they pointed towards a set of 13 driver genes highly altered in gliomas, and particularly highlighted the central role of PTPN11 in IDH-mutant grade 4 astrocytomas, just to mention one.

The power of multiomics, mixing genetics, epigenetics, proteomics, metabolomics and more, is becoming increasingly relevant as it helps explain the multiple events involved in cancer progression, events too complex to be understood from just a single perspective. Hopefully, new drugs and treatments will come along too.

More information:
Jingxian Liu et al, Multi-scale signaling and tumor evolution in high-grade gliomas, Cancer Cell (2024). DOI: 10.1016/j.ccell.2024.06.004

Citation:
Proteogenomics analysis of high-grade gliomas offers hints on tumor evolution (2024, July 10)
retrieved 10 July 2024
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