Evidence map›Paper›PMID 25990623›Full record

ArticleThe Prostate2015

Metastasis initiating cells in primary prostate cancer tissues from transurethral resection of the prostate (TURP) predicts castration-resistant progression and survival of prostate cancer patients.

Qinlong Li, Quanlin Li, Jill Nuccio, Chunyan Liu, Peng Duan, Ruoxiang Wang, Lawrence W Jones, Leland W K Chung, Haiyen E Zhau

Open access · greenAbstract read
In one paragraph

Article in The Prostate, 2015. 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
1.4field-weighted citation impact, top 18% 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, 9 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Qinlong LiDepartment of Medicine, Uro-Oncology Research Program, Los Angeles, California.
Quanlin LiBiostatistics and Bioinformatics, Cedars-Sinai Medical Center, Los Angeles, California.
Jill NuccioUrological Research, Huntington Medical Research Institutes, Huntington Memorial Hospital, Pasadena, California.
Chunyan LiuDepartment of Medicine, Uro-Oncology Research Program, Los Angeles, California.
Peng DuanDepartment of Medicine, Uro-Oncology Research Program, Los Angeles, California.
Ruoxiang WangDepartment of Medicine, Uro-Oncology Research Program, Los Angeles, California.
Lawrence W JonesUrological Research, Huntington Medical Research Institutes, Huntington Memorial Hospital, Pasadena, California.
Leland W K ChungDepartment of Medicine, Uro-Oncology Research Program, Los Angeles, California.
Haiyen E ZhauDepartment of Medicine, Uro-Oncology Research Program, Los Angeles, California.
University of California, Los Angeles · USCedars-Sinai Medical Center · USHuntington Hospital · USHuntington Medical Research Institutes · US

Funding

Prostate Cancer Bone Metastasis: Biology and TargetingP01CA098912 · NCI · EMORY UNIVERSITY · PI CHUNG, LELAND W.K. · 2003 to 2019
$24.0M
Beta 2-Microglobulin signaling and targeting in bone metastasisR01CA122602 · NCI · CEDARS-SINAI MEDICAL CENTER · PI CHUNG, LELAND W.K. · 2009 to 2013
$1.5M
NCI NIH HHS NCI 1-R01-CA122602NCI NIH HHS NCI 2-P01CA-98912NCI NIH HHS P01 CA098912NCI NIH HHS R01 CA122602
6 · The paper itself

Abstract

backgroundWe previously reported that the activation of RANK and c-Met signaling components in both experimental mouse models and human prostate cancer (PC) specimens predicts bone metastatic potential and PC patient survival. This study addresses whether a population of metastasis-initiating cells (MICs) known to express a stronger RANKL, phosphorylated c-Met (p-c-Met), and neuropilin-1 (NRP1) signaling network than bystander or dormant cells (BDCs) can be detected in PC tissues from patients subjected to transurethral resection of the prostate (TURP) for urinary obstruction prior to the diagnosis of PC with or without prior hormonal manipulation, and whether the relative abundance of MICs over BDCs could predict castration-resistant progression and PC patient survival.

methodsWe employed a multiplexed quantum-dot labeling (mQDL) protocol to detect and quantify MICs and BDCs at the single cell level in TURP tissues obtained from 44 PC patients with documented overall survival and castration resistance status.

resultsPC tissues with a higher number of MICs and an activated RANK signaling network, including increased expression of RANKL, p-c-Met, and NRP1 compared to BDCs, were found to correlate with the development of castration resistance and overall survival.

conclusionsThe assessment of PC cells with MIC and BDC phenotypes in primary PC tissues from hormone-naïve patients can predict the progression to castration resistance and the overall survival of PC patients.

Indexed as

AgedAged, 80 and overBone NeoplasmsDisease ProgressionHumansMaleMiddle AgedPhosphorylationPrognosisProstatic NeoplasmsProstatic Neoplasms, Castration-ResistantProto-Oncogene Proteins c-metQuantum DotsRANK LigandReceptors, Atrial Natriuretic FactorSignal Transductionatrial natriuretic factor receptor AProto-Oncogene Proteins c-metRANK LigandReceptors, Atrial Natriuretic Factordormant cellsmetastasis-initiating cellsmultiplexed quantum dot labelingprostate cancer patient survivalRANK signaling

Identifiers

PMID25990623
PMCPMC4736544
OpenAlexW1561947250

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.