Evidence map›Paper›PMID 34675120›Full record

ArticleMolecular cancer therapeutics2022

HSP90-Specific nIR Probe Identifies Aggressive Prostate Cancers: Translation from Preclinical Models to a Human Phase I Study.

Takuya Osada, Erika J Crosby, Kensuke Kaneko, Joshua C Snyder, Joshua D Ginzel, Chaitanya R Acharya, Xiao-Yi Yang, Thomas J Polascik, Ivan Spasojevic, Rendon C Nelson and 9 more

Abstract readClinical Trial, Phase I
In one paragraph

Article in Molecular cancer therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

19 authors.

Takuya OsadaDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0003-1424-5001
Erika J CrosbyDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-4872-6711
Kensuke KanekoDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0003-0510-4602
Joshua C SnyderDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-9787-3371
Joshua D GinzelDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0001-5635-7314
Chaitanya R AcharyaDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0001-7149-1749
Xiao-Yi YangDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Thomas J PolascikDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Ivan SpasojevicDepartment of Medicine, Duke University Medical Center, Durham, North Carolina.
Rendon C NelsonDepartment of Radiology, Duke University Medical Center, Durham, North Carolina.
Amy HobeikaDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Zachary C HartmanDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0001-6549-8207
Leonard M NeckersUrologic Oncology Branch, NCI, Rockville, Maryland.
Andre RogatkoBiostatistics and Bioinformatics Research Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.ORCID 0000-0001-8935-8890
Philip F HughesDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina.ORCID 0000-0002-2217-455X
Jiaoti HuangDepartment of Pathology, Duke University Medical Center, Durham, North Carolina.
Michael A MorseDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Timothy HaysteadDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina.
H Kim LyerlyDepartment of Surgery, Duke University Medical Center, Durham, North Carolina. kim.lyerly@duke.edu.ORCID 0000-0002-0063-4770

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Role of HSP90 Family Chaperone Proteins in Cellular Signal TransductionZIASC010074 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI NECKERS, LEONARD · 2009 to 2025
$13.3M
Viral Oncology Training GrantT32CA009111 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 1985 to 2023
$8.9M
Training Program in Developmental & Stem Cell BiologyT32HD040372 · NICHD · DUKE UNIVERSITY · PI Terry H Lechler · 2001 to 2026
$8.9M
Role of fumarate hydratase loss in development of HLRCC hereditary kidney cancerZIABC010683 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NECKERS, LEONARD · 2009 to 2024
$8.6M
NCI NIH HHS P30 CA014236NCI NIH HHS T32 CA009111NICHD NIH HHS T32 HD040372
6 · The paper itself

Abstract

A noninvasive test to discriminate indolent prostate cancers from lethal ones would focus treatment where necessary while reducing overtreatment. We exploited the known activity of heat shock protein 90 (Hsp90) as a chaperone critical for the function of numerous oncogenic drivers, including the androgen receptor and its variants, to detect aggressive prostate cancer. We linked a near-infrared fluorescing molecule to an HSP90 binding drug and demonstrated that this probe (designated HS196) was highly sensitive and specific for detecting implanted prostate cancer cell lines with greater uptake by more aggressive subtypes. In a phase I human study, systemically administered HS196 could be detected in malignant nodules within prostatectomy specimens. Single-cell RNA sequencing identified uptake of HS196 by malignant prostate epithelium from the peripheral zone (

Indexed as

AnimalsCell Line, TumorHSP90 Heat-Shock ProteinsHumansMaleMiceMice, SCIDProstatic NeoplasmsHSP90 Heat-Shock Proteins

Identifiers

PMID34675120
PMCPMC8742774

What OpenQuestion holds

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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.