Evidence map›Paper›PMID 29299146›Full record

ArticleOncotarget2017

Targeting chaperonin containing TCP1 (CCT) as a molecular therapeutic for small cell lung cancer.

Ana C Carr, Amr S Khaled, Rania Bassiouni, Orielyz Flores, Daniel Nierenberg, Hammad Bhatti, Priya Vishnubhotla, J Perez Manuel, Santimukul Santra, Annette R Khaled

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

44 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
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  4. Article
  5. Chaperonin in health and disease.Molecular biomedicine · 2026
    Review
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  7. Article
  8. Article
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  12. Article
  13. Review
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  15. Review
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  19. The TRiCky Business of Protein Folding in Health and Disease.Frontiers in cell and developmental biology · 2022
    Review
  20. Article
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

10 authors at 4 institutions in 1 country.

Ana C CarrBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
Amr S KhaledDepartment of Pathology and Laboratory Medicine, Department of Internal Medicine, Orlando VA Medical Center, Orlando, FL 32803, USA.
Rania BassiouniBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
Orielyz FloresBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
Daniel NierenbergBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
Hammad BhattiDepartment of Pathology and Laboratory Medicine, Department of Internal Medicine, Orlando VA Medical Center, Orlando, FL 32803, USA.
Priya VishnubhotlaDepartment of Pathology and Laboratory Medicine, Department of Internal Medicine, Orlando VA Medical Center, Orlando, FL 32803, USA.
J Perez ManuelBiomedical Imaging Research Institute, & Samuel Oschin Comprehensive Cancer Institute, Department of Biomedical Sciences and Department of Neurosurgery, Cedar Sinai Medical Center, Los Angeles, CA 90048, USA.
Santimukul SantraDepartment of Chemistry, Pittsburg State University, Pittsburg, KS 66762, USA.
Annette R KhaledBurnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
University of Central Florida · USOrlando VA Medical Center · USCedars-Sinai Medical Center · USPittsburg State University · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
Polymeric nanoparticles with imaging capability for therapeutic peptide deliveryR01EB019288 · NIBIB · UNIVERSITY OF CENTRAL FLORIDA · PI KHALED, ANNETTE R, PEREZ, J MANUEL · 2014 to 2017
$1.2M
NIBIB NIH HHS R01 EB019288NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

Identifying new druggable targets is desired to meet the needs for effective cancer treatments. To this end, we previously reported the efficacy of a therapeutic peptide called CT20p that displays selective cytotoxicity through inhibition of a multi-subunit, protein-folding complex called Chaperonin-Containing TCP-1 (CCT). To investigate the role of CCT in cancer progression, we examined protein levels of CCT subunits in liver, prostate, and lung cancer using human tissue microarrays. We found that these cancers expressed higher levels of CCT2 as compared to normal tissues. Small cell lung cancer (SCLC) stood out as having statistically significant difference in CCT2. Higher levels of CCT2 in tumors from lung cancer patients were also associated with decreased survival. Using SCLC cell lines, we observed detectable amounts of CCT subunits and cells were susceptible to killing by CT20p. Treatment with CT20p, delivered to cells using polymeric nanoparticles, was cytotoxic to all SCLC cell lines, decreasing the levels of CCT client proteins like STAT3. In contrast, treatment with a STAT3 inhibitor was effective in one of the SCLC cell lines. While we found that CCT levels could vary in cell lines, normal tissues had low levels of CCT and minimal toxicity to liver or kidney function was observed in mice treated with CT20p. These results indicate that in SCLC, changes in CCT levels could be used as a biomarker for diagnosis and that targeting CCT for inhibition with CT20p is a promising treatment approach for those cancers such as SCLC that currently lack targeted therapeutics.

Indexed as

chaperonelung cancernanoparticlespeptideSTAT3

Identifiers

PMID29299146
PMCPMC5746381
OpenAlexW2769674573

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.