Evidence map›Paper›PMID 17028921›Full record

ArticleClinical & experimental metastasis2006

Understanding metastatic SCCHN cells from unique genotypes to phenotypes with the aid of an animal model and DNA microarray analysis.

Xin Zhang, Ling Su, Ali A Pirani, Haiyan Wu, Hongzheng Zhang, Dong M Shin, Kim M Gernert, Zhuo Georgia Chen

Abstract read
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In one paragraph

Article in Clinical & experimental metastasis, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-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

23 citing papers in PubMed, 37 citations in OpenAlex.

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  6. Spectral-Spatial Classification Using Tensor Modeling for Cancer Detection with Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2014
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  7. Hyperspectral Imaging for Cancer Surgical Margin Delineation: Registration of Hyperspectral and Histological Images.Proceedings of SPIE--the International Society for Optical Engineering · 2014
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  11. Biodistribution Study of Nanoparticle Encapsulated Photodynamic Therapy Drugs Using Multispectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2013
    Article
  12. Article
  13. The pivotal role of integrin β1 in metastasis of head and neck squamous cell carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2012
    Article
  14. Systemic delivery of siRNA nanoparticles targeting RRM2 suppresses head and neck tumor growth.Journal of controlled release : official journal of the Controlled Release Society · 2012
    Article
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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

8 authors at 4 institutions in 2 countries.

Xin ZhangDepartment of Hematology and Oncology, Winship Cancer Institute of Emory University, 1365 Clifton Rd, NE, Building C, Atlanta, GA 30322, USA.
Ling Su
Ali A Pirani
Haiyan Wu
Hongzheng Zhang
Dong M Shin
Kim M Gernert
Zhuo Georgia Chen
Emory University · USEmory Healthcare · USCentral South University · CNPiedmont Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis of squamous cell carcinoma of the head and neck (SCCHN) is a significant health-care problem worldwide. The 5-year survival rate is less than 50% for patients with lymph node metastases. Understanding the molecular basis of SCCHN metastasis would facilitate the development of new therapeutic approaches to the disease. To identify proteins that mediate SCCHN metastasis, we established a SCCHN xenograft mouse model and performed in vivo selection from a SCCHN cell line using the model. In the fourth round of in vivo selection, significant incidences of metastases in lymph nodes (7/10) and lungs (6/10) were achieved from a derived SCCHN cell line as compared with its parental cells, 1/5 in lymph nodes and 0/5 in lungs. Metastatic cell lines from lymph node metastases and parental cell lines from non-metastatic xenograft tumors were subjected to DNA microarray analysis using an Affymetrix gene chip HG-U133A, followed by data mining studies. The identified metastasis-related genes were further evaluated for their encoding protein products and the metastatic cells were examined by biological analyses. DNA microarray analysis highlighted molecular features of the metastatic SCCHN cells, including alteration of expression of cell-cell adhesion proteins, epithelial cell markers, apoptosis and cell cycle regulatory molecules. Further biological analyses of phenotypic alterations revealed that the metastatic cells gained epithelial-mesenchymal transition (EMT) features and were more resistant to anoikis, which are two of the important phenotypes for metastatic SCCHN.

Indexed as

Disease Models, AnimalOligonucleotide Array Sequence AnalysisAnimalsCarcinoma, Squamous CellCell Line, TumorCyclin EGenotypeHead and Neck NeoplasmsHumansLung NeoplasmsLymphatic MetastasisMiceMice, NudeNeoplasm TransplantationPhenotypeCyclin E

Identifiers

PMID17028921
OpenAlexW2019515908

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.