Evidence map›Paper›PMID 22509065›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2012

Monitoring the progression of metastatic breast cancer on nanoporous silica chips.

Jia Fan, Xiaoyong Deng, James W Gallagher, Haiyu Huang, Yi Huang, Jianguo Wen, Mauro Ferrari, Haifa Shen, Ye Hu

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Discovery of Missing Methylation Sites on Endogenous Peptides of Human Cell Lines.Journal of the American Society for Mass Spectrometry · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Convergence of nanotechnology and cancer prevention: are we there yet?Cancer prevention research (Philadelphia, Pa.) · 2014
    Review
  7. Article
  8. Review
  9. Review
  10. Nanotechnologies in glycoproteomics.Clinical proteomics · 2014
    Review
  11. Article
  12. Article
  13. Silicon micro- and nanofabrication for medicine.Advanced healthcare materials · 2013
    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

9 authors.

Jia FanDepartment of Nanomedicine, The Methodist Hospital Research Institute, Houston, TX 77030, USA.
Xiaoyong Deng
James W Gallagher
Haiyu Huang
Yi Huang
Jianguo Wen
Mauro Ferrari
Haifa Shen
Ye Hu

Funding

U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
TRANS-NETWORK PROJECTSU54CA143837 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CURLEY, STEVEN ALAN · 2009 to 2014
$10.8M
Nanovectors for Characterization and Destruction of Breast Tumor VasculatureR01CA128797 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2007 to 2010
$1.7M
NCI NIH HHS R01 CA128797NCI NIH HHS R01CA128797NCI NIH HHS U54 CA143837NCI NIH HHS U54CA143837NCRR NIH HHS UL1 RR024148
6 · The paper itself

Abstract

Breast cancer accounted for 15 per cent of total cancer deaths in female patients in 2010. Although significant progress has been made in treating early-stage breast cancer patients, there is still no effective therapy targeting late-stage metastatic breast cancers except for the conventional chemotherapy interventions. Until effective therapy for later-stage cancers emerges, the identification of biomarkers for the early detection of tumour metastasis continues to hold the key to successful management of breast cancer therapy. Our study concentrated on the low molecular weight (LMW) region of the serum protein and the information it contains for identifying biomarkers that could reflect the ongoing physiological state of all tissues. Owing to technical difficulties in harvesting LMW species, studying these proteins/peptides has been challenging until now. In our study, we have recently developed nanoporous chip-based technologies to separate small proteins/peptides from the large proteins in serum. We used nanoporous silica chips, with a highly periodic nanostructure and uniform pore size distribution, to isolate LMW proteins and peptides from the serum of nude mice with MDA-MB-231 human breast cancer lung metastasis. By matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and biostatistical analysis, we were able to identify protein signatures unique to different stages of cancer development. The approach and results reported in this study possess a significant potential for the discovery of proteomic biomarkers that may significantly enhance personalized medicine targeted at metastatic breast cancer.

Indexed as

NanoparticlesSilicon DioxideAnimalsBiomarkers, TumorBreast NeoplasmsCell Line, TumorDisease ProgressionFemaleHumansLung NeoplasmsMiceMice, NudeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, TumorSilicon Dioxide

Identifiers

PMID22509065
PMCPMC3318679

What OpenQuestion holds

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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.