Evidence map›Paper›PMID 19936789›Full record

ArticleJournal of cancer research and clinical oncology2010

Development and characterization of a novel method for the analysis of gene expression patterns in lymphatic endothelial cells derived from primary breast tissues.

Mingfu Wu, Lingfei Han, Yanyan Shi, Gang Xu, Juncheng Wei, Luanyin You, Yin Chen, Tao Zhu, Qiong Li, Shuang Li and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 19 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

15 authors at 2 institutions in 1 country.

Mingfu WuCancer Biology Research Center, Tongji Hospital, 430030 Wuhan, Hubei, People's Republic of China.
Lingfei Han
Yanyan Shi
Gang Xu
Juncheng Wei
Luanyin You
Yin Chen
Tao Zhu
Qiong Li
Shuang Li
Li Meng
Yunpin Lu
Jianfeng Zhou
Shixuan Wang
Ding Ma
Tongji Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combined application of laser capture microdissection (LCM) and gene expression microarray analysis has rarely been used to study lymphangiogenesis because of technical obstacles. In this study, a novel method using this combined approach was developed to analyze the gene expression patterns in lymphatic endothelial cells (LECs). First, LECs were identified in frozen sections using rapid immunostaining and isolated using LCM, and then intact RNA from the LECS was purified and amplified. The expression profile was analyzed using microarray analysis, and the expression of selected genes (Sema4C and C4orf7) was evaluated by quantitative RT-PCR (qRT-PCR) and immunofluorescence assays. These results indicate that the combination of RIHC-LCM, two-round linear amplification of the small sample RNA and genome-wide microarray analysis allows gene expression profiling of tumor LECs, which provides a powerful tool for the study of molecular details in human lymphangiogenesis-related diseases, such as lymphatic metastasis of human breast cancers. These findings also suggest that the LEC-specific genes Sema4C and C4orf7 may play an important role in the oncogenesis of human breast cancer.

Indexed as

AdultAgedBreast NeoplasmsDNA, ComplementaryEndothelial CellsFemaleGene AmplificationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunohistochemistryLasersLymphatic MetastasisLymph NodesMicroarray AnalysisMicrodissectionDNA, ComplementaryRNA, Neoplasm

Identifiers

PMID19936789
PMCPMC11828302
OpenAlexW2056350045

What OpenQuestion holds

Textmetadata
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.