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mTOR Signaling and Cancer Progression

mTOR Signaling and Cancer Progression

The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...

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A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

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Pan-Cancer Identification of Prognostic-Associated Metabolic Pathways.

Wenbo Chen¹, Xin Chen^2,3, Zhenyu Zhao⁴

¹School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.

|August 26, 2023

Summary

Cancer patient survival is linked to metabolic checkpoint genes and key metabolic pathways. Kidney renal clear cell carcinoma and low-grade glioma show high metabolic dependence, offering new diagnostic and therapeutic insights.

Keywords:

cancer transcriptome metabolic pathways prognosis

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Area of Science:

Oncology
Metabolomics
Bioinformatics

Background:

Metabolic dysregulation is implicated in various cancer outcomes.
A systematic understanding of metabolic pathways' impact on cancer prognosis is needed.

Purpose of the Study:

To conduct a pan-cancer analysis of metabolic checkpoint genes and pathways.
To investigate the association between metabolic factors and cancer patient survival.

Main Methods:

Integrated clinical survival data with gene expression and pathway activity across multiple cancer types.
Performed a pan-cancer analysis, adjusting for age and sex.

Main Results:

Identified significant associations between metabolic checkpoint gene expression and patient survival.
Found links between patient survival and the activity of amino acid, carbohydrate, and lipid metabolism pathways.
Highlighted kidney renal clear cell carcinoma and low-grade glioma as having high metabolic dependence.

Conclusions:

Metabolic checkpoint genes and pathways significantly impact cancer prognosis across various cancer types.
Metabolic dependence varies among different cancers, with specific pathways being critical.
Findings provide a basis for developing novel cancer diagnostic and therapeutic strategies targeting metabolic pathways.