Evidence map›Paper›PMID 32297213›Full record

ReviewAdvances in experimental medicine and biology2020

Chaperome Networks - Redundancy and Implications for Cancer Treatment.

Pengrong Yan, Tai Wang, Monica L Guzman, Radu I Peter, Gabriela Chiosis

Abstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Mitochondrial chaperones in human health and disease.Free radical biology & medicine · 2022
    Review
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pengrong YanChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Tai WangChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Monica L GuzmanHematology and Medical Oncology, Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
Radu I PeterDepartment of Mathematics, Technical University of Cluj-Napoca, Cluj-Napoca, Romania.
Gabriela ChiosisChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. chiosisg@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Translating Stress Response Targeted Therapy for B-Cell LymphomasP50CA192937 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI DALLA-FAVERA, RICCARDO, ZELENETZ, ANDREW D. · 2016 to 2020
$10.9M
Project 3: Structural Basis for grp94 Drug Development and Chaperone FunctionP01CA186866 · NCI · OHIO STATE UNIVERSITY · PI GEWIRTH, DANIEL T · 2015 to 2019
$6.7M
PHARMACOLOGICAL MODULATION OF EPIGENETIC CHANTGES IN AMLR01CA102031 · NCI · OHIO STATE UNIVERSITY · PI GUZMAN, MONICA L, MARCUCCI, GUIDO · 2004 to 2017
$3.8M
Small molecule Hsp90 inhibitors in AD treatmentU01AG032969 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA · 2010 to 2014
$3.5M
Biomarkers for predicting response to Hsp90 therapyR01CA172546 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, DUNPHY, MARK P. · 2013 to 2017
$2.9M
Targeting the heat shock response for the therapy of DLBCLR01CA155226 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHIOSIS, GABRIELA, MELNICK, ARI M. · 2011 to 2015
$2.5M
A chemical chaperomics platform for ADR56AG061869 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA · 2018 to 2019
$1.8M
NCI NIH HHS P01 CA186866NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA192937NCI NIH HHS R01 CA102031NCI NIH HHS R01 CA155226NCI NIH HHS R01 CA172546NIA NIH HHS R56 AG061869NIA NIH HHS U01 AG032969
6 · The paper itself

Abstract

The chaperome is a large family of proteins composed of chaperones, co-chaperones and a multitude of other factors. Elegant studies in yeast and other organisms have paved the road to how we currently understand the complex organization of this large family into protein networks. The goal of this chapter is to provide an overview of chaperome networks in cancer cells, with a focus on two cellular states defined by chaperome network organization. One state characterized by chaperome networks working in isolation and with little overlap, contains global chaperome networks resembling those of normal, non-transformed, cells. We propose that in this state, redundancy in chaperome networks results in a tumor type unamenable for single-agent chaperome therapy. The second state comprises chaperome networks interconnected in response to cellular stress, such as MYC hyperactivation. This is a state where no redundant pathways can be deployed, and is a state of vulnerability, amenable for chaperome therapy. We conclude by proposing a change in how we discover and implement chaperome inhibitor strategies, and suggest an approach to chaperome therapy where the properties of chaperome networks, rather than genetics or client proteins, are used in chaperome inhibitor implementation.

Indexed as

Antineoplastic AgentsHSP90 Heat-Shock ProteinsHumansMolecular ChaperonesNeoplasmsAntineoplastic AgentsHSP90 Heat-Shock ProteinsMolecular ChaperonesAnti-cancer therapyChaperome networksEpichaperomeHSP90 inhibitorsProtein network connectivityProtein network vulnerabilityPU-H71

Identifiers

PMID32297213
PMCPMC7279512

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.