Evidence map›Paper›PMID 19284784›Full record

ArticleJournal of proteome research2009

Approaching solid tumor heterogeneity on a cellular basis by tissue proteomics using laser capture microdissection and biological mass spectrometry.

Donald J Johann, Jaime Rodriguez-Canales, Sumana Mukherjee, DaRue A Prieto, Jeffrey C Hanson, Michael Emmert-Buck, Josip Blonder

Abstract read
In one paragraph

Article in Journal of proteome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  13. High resolution laser mass spectrometry bioimaging.Methods (San Diego, Calif.) · 2016
    Review
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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

7 authors.

Donald J JohannMedical Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland 20892, USA.
Jaime Rodriguez-Canales
Sumana Mukherjee
DaRue A Prieto
Jeffrey C Hanson
Michael Emmert-Buck
Josip Blonder

Funding

Technology DevelopmentZIABC010729 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI EMMERT-BUCK, MICHAEL · 2009 to 2014
$2.5M
Optimization of tissue depletion for LCM-MS couplingZIABC011226 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JOHANN, DONALD · 2009 to 2012
$431k
Molecular profiling of tumor tissue using targeted clinical proteomicsZIABC011322 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JOHANN, DONALD · 2010 to 2012
$400k
Estrogen metabolite profiling of thin tissue sectionsZIABC011227 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JOHANN, DONALD · 2009 to 2012
$204k
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011226
6 · The paper itself

Abstract

The purpose of this study was to examine solid tumor heterogeneity on a cellular basis using tissue proteomics that relies on a functional relationship between Laser Capture Microdissection (LCM) and biological mass spectrometry (MS). With the use of LCM, homogeneous regions of cells exhibiting uniform histology were isolated and captured from fresh frozen tissue specimens, which were obtained from a human lymph node containing breast carcinoma metastasis. Six specimens approximately 50,000 cell each (three from tumor proper and three from tumor stroma) were collected by LCM. Specimens were processed directly on LCM caps, using sonication in buffered methanol to lyse captured cells, solubilize, and digest extracted proteins. Prepared samples were analyzed by LC/MS/MS resulting in more than 500 unique protein identifications. Decoy database searching revealed a false-positive rate between 5 and 10%. Subcellular localization analysis for stromal cells revealed plasma membrane 14%, cytoplasm 39%, nucleus 11%, extracellular space 27%, and unknown 9%; and tumor cell results were 5%, 58%, 26%, 4%, and 7%, respectively. Western blot analysis confirmed specific linkage of validated proteins to underlying pathology and their potential role in solid tumor heterogeneity. With continued research and optimization of this method including analysis of additional clinical specimens, this approach may lead to an improved understanding of tumor heterogeneity, and serve as a platform for solid tumor biomarker discovery.

Identifiers

PMID19284784
PMCPMC2858576

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Registered trials

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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.