A systematic atlas of chaperome deregulation topologies across the human cancer landscape

Ali Hadizadeh Esfahani1,2, Angelina Sverchkova3, Julio Saez-Rodriguez3,4

  • 1Joint Research Center for Computational Biomedicine (JRC-COMBINE), RWTH Aachen University, Aachen, Germany.

Insights

This study reveals widespread changes in the chaperome, a key part of the proteostasis network, across 22 solid cancers. It highlights specific chaperone families that are upregulated or downregulated, offering new insights into cancer biology and potential therapeutic targets.

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Oncology

Background:

  • The proteostasis network (PN) maintains cellular health by regulating protein homeostasis.
  • Imbalances in proteostasis are linked to various diseases, including cancer and neurodegeneration.
  • A systematic assessment of PN alterations in cancer is lacking.

Purpose of the Study:

  • To systematically analyze chaperome alterations in human cancers.
  • To identify specific chaperones and pathways dysregulated in cancer.
  • To develop tools for exploring proteostasis changes in disease.

Main Methods:

  • Utilized a curated human chaperome functional ontology and protein-protein interaction network.
  • Analyzed gene expression data from over 10,000 patient biopsies across 22 solid cancers.
  • Developed a novel Meta-PCA (M-scores) approach for analyzing transcriptomic data.
  • Created a web-based Proteostasis Profiler tool (Pro2).

Main Results:

  • Confirmed pan-cancer enrichment of HSP90 family, HSP60s, Prefoldins, HSP100s, and ER/mitochondria-specific chaperones.
  • Observed consistent downregulation of small heat shock proteins (sHSPs).
  • Stratified cancers into two groups based on ATP-dependent chaperone upregulation.
  • Highlighted similarities between stem cell and cancer proteostasis.
  • Revealed opposing chaperome deregulation in cancer versus neurodegenerative diseases.

Conclusions:

  • Provides a comprehensive profile of chaperome shifts in human cancers.
  • Identifies potential therapeutic targets within the chaperome network.
  • Establishes a foundation for analyzing PN alterations across diverse human diseases.
  • The Proteostasis Profiler tool facilitates disease-specific proteostasis analysis.

Related Concept Videos

Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.4K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.1K
Chemical Equilibria: Systematic Approach to Equilibrium Calculations01:21

Chemical Equilibria: Systematic Approach to Equilibrium Calculations

Equilibrium calculations for systems involving multiple equilibria are often complex. For example, to calculate the solubility of a sparingly soluble salt in an aqueous solution in the presence of a common ion, one must consider all the equilibria in this solution. Calculations for these systems can be complicated and tedious, so a systematic approach with a series of steps is often helpful. The process is detailed below.
The first step is to identify all the chemical reactions involved, The...
1.7K
Cancer02:18

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
54.6K