Evidence map›Paper›PMID 33637565›Full record

ArticleCancer research2021

Jinghang Xie, Meghan A Rice, Zixin Chen, Yunfeng Cheng, En-Chi Hsu, Min Chen, Guosheng Song, Liyang Cui, Kaixiang Zhou, Jessa B Castillo and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Prevention of prostate cancer metastasis by a CRISPR-delivering nanoplatform for interleukin-30 genome editing.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  6. Article
  7. 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

17 authors at 2 institutions in 1 country.

Jinghang Xie *Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-0894-5765
Meghan A Rice *Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California.ORCID 0000-0003-4578-0461
Zixin ChenDepartment of Chemistry, Stanford University, Stanford, California.
Yunfeng ChengDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.
En-Chi HsuDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California.ORCID 0000-0002-5671-6169
Min ChenDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-6488-455X
Guosheng SongDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.
Liyang CuiDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.
Kaixiang ZhouDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-4210-6711
Jessa B CastilloDepartment of Radiology, Cyclotron and Radiochemistry Facility, Stanford University School of Medicine, Stanford, California.
Chiyuan A ZhangDepartment of Urology, Stanford University School of Medicine, Stanford, California.
Bin ShenDepartment of Radiology, Cyclotron and Radiochemistry Facility, Stanford University School of Medicine, Stanford, California.
Frederick T ChinDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-2524-5402
Christian A KunderDepartment of Urology, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-1514-7550
James D BrooksDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California.
Tanya StoyanovaDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California. jrao@stanford.edu stanya@stanford.edu.ORCID 0000-0003-0119-9747
Jianghong RaoDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California. jrao@stanford.edu stanya@stanford.edu.
Stanford University · USStanford Medicine · US

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI RAO, JIANGHONG, WANG, SHAN X. · 2015 to 2019
$9.6M
Stanford Molecular and Cellular Characterization LaboratoryU01CA196387 · NCI · STANFORD UNIVERSITY · PI BROOKS, JAMES D. · 2015 to 2020
$5.2M
Elucidating the Role of Trop2 in Prostate CancerR37CA240822 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Tanya I Stoyanova · 2020 to 2026
$2.5M
Elucidating the Role of UCHL1 in Aggressive Prostate CancerR01CA244281 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI STOYANOVA, TANYA I · 2020 to 2024
$1.8M
Cancer-Translational Nanotechnology Training Program (Cancer-TNT)T32CA196585 · NCI · STANFORD UNIVERSITY · PI FELSHER, DEAN W, RAO, JIANGHONG · 2015 to 2019
$1.8M
Elucidating Novel Mechanisms Underlying Prostate Cancer DevelopmentR03CA230819 · NCI · STANFORD UNIVERSITY · PI STOYANOVA, TANYA I · 2018 to 2019
$160k
NCI NIH HHS R01 CA244281NCI NIH HHS R03 CA230819NCI NIH HHS R37 CA240822NCI NIH HHS T32 CA196585NCI NIH HHS U01 CA196387NCI NIH HHS U54 CA199075
6 · The paper itself

Abstract

Prostate cancer is one of the most common malignancies worldwide, yet limited tools exist for prognostic risk stratification of the disease. Identification of new biomarkers representing intrinsic features of malignant transformation and development of prognostic imaging technologies are critical for improving treatment decisions and patient survival. In this study, we analyzed radical prostatectomy specimens from 422 patients with localized disease to define the expression pattern of methionine aminopeptidase II (MetAP2), a cytosolic metalloprotease that has been identified as a druggable target in cancer. MetAP2 was highly expressed in 54% of low-grade and 59% of high-grade cancers. Elevated levels of MetAP2 at diagnosis were associated with shorter time to recurrence. Controlled self-assembly of a synthetic small molecule enabled design of the first MetAP2-activated PET imaging tracer for monitoring MetAP2 activity

Indexed as

AnimalsAntibiotics, AntineoplasticFollow-Up StudiesHumansInterleukin Receptor Common gamma SubunitMaleMethionyl AminopeptidasesMiceMice, Inbred NODMice, NudeMice, SCIDO-(Chloroacetylcarbamoyl)fumagillolPC-3 CellsPositron Emission Tomography Computed TomographyProstatic NeoplasmsRisk AssessmentAntibiotics, AntineoplasticIl2rg protein, mouseInterleukin Receptor Common gamma SubunitMETAP2 protein, humanMethionyl AminopeptidasesO-(Chloroacetylcarbamoyl)fumagillol

Identifiers

PMID33637565
PMCPMC8137584
OpenAlexW3130514305

What OpenQuestion holds

Textmetadata
LicenceTDM
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.