Evidence map›Paper›PMID 18570662›Full record

ArticleJournal of translational medicine2008

Transcriptional patterns, biomarkers and pathways characterizing nasopharyngeal carcinoma of Southern China.

Weiyi Fang, Xin Li, Qingping Jiang, Zhen Liu, Huiling Yang, Shuang Wang, Siming Xie, Qiuzhen Liu, Tengfei Liu, Jing Huang and 6 more

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Journal of translational medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

84 citing papers in PubMed, 170 citations in OpenAlex.

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  13. Forkhead Box Protein M1 Promotes Nasopharyngeal Carcinoma Cell Tumorigenesis Possibly via the Wnt/β-Catenin Signaling Pathway.Medical science monitor : international medical journal of experimental and clinical research · 2021
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24 more citing papers are in PubMed but not listed here.

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

16 authors at 4 institutions in 2 countries.

Weiyi FangCancer Research Institute of Southern Medical University, Key Lab for Transcriptomics and Proteomics of Human Fatal Diseases Supported by Ministry of Education and Guangdong Province, 510515, PR China. fangweiyi1975@yahoo.com.cn
Xin Li
Qingping Jiang
Zhen Liu
Huiling Yang
Shuang Wang
Siming Xie
Qiuzhen Liu
Tengfei Liu
Jing Huang
Weibing Xie
Zuguo Li
Yingdong Zhao
Ena Wang
Francesco M Marincola
Kaitai Yao
Southern Medical University · CNCardinal Glennon Children’s Medical Center · USNational Cancer Institute · USUniversity of South China · CN

Funding

Immunogenetic Study of Infectious Diseases and CancerZ01CL002118 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2007 to 2008
$1.4M
Immunogenetics of Vaccine TherapyZIACL002115 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2009 to 2010
$0k
Immunogenetic Study of Infectious Diseases and CancerZIACL002118 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2009 to 2012
$0k
Immunogenetics of Vaccine TherapyZ01CL002115 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2003 to 2005
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6 · The paper itself

Abstract

backgroundThe pathogenesis of nasopharyngeal carcinoma (NPC) is a complicated process involving genetic predisposition, Epstein-Bar Virus infection, and genetic alterations. Although some oncogenes and tumor suppressor genes have been previously reported in NPC, a complete understanding of the pathogenesis of NPC in the context of global gene expression, transcriptional pathways and biomarker assessment remains to be elucidated.

methodsTotal RNA from 32 pathologically-confirmed cases of poorly-differentiated NPC was divided into pools inclusive of four consecutive specimens and each pool (T1 to T8) was co-hybridized with pooled RNA from 24 normal non-cancerous nasopharyngeal tissues (NP) to a human 8K cDNA array platform. The reliability of microarray data was validated for selected genes by semi-quantitative RT-PCR and immunohistochemistry.

resultsStringent statistical filtering parameters identified 435 genes to be up-regulated and 257 genes to be down-regulated in NPC compared to NP. Seven up-regulated genes including CYC1, MIF, LAMB3, TUBB2, UBE2C and TRAP1 had been previously proposed as candidate common cancer biomarkers based on a previous extensive comparison among various cancers and normal tissues which did not, however, include NPC or NP. In addition, nine known oncogenes and tumor suppressor genes, MIF, BIRC5, PTTG1, ATM, FOXO1A, TGFBR2, PRKAR1A, KLF5 and PDCD4 were identified through the microarray literature-based annotation search engine MILANO, suggesting these genes may be specifically involved in the promotion of the malignant conversion of nasopharyngeal epithelium. Finally, we found that these differentially expressed genes were involved in apoptosis, MAPK, VEGF and B cell receptor signaling pathways and other functions associated with cell growth, signal transduction and immune system activation.

conclusionThis study identified potential candidate biomarkers, oncogenes/tumor suppressor genes involved in several pathways relevant to the oncogenesis of NPC. This information may facilitate the determination of diagnostic and therapeutic targets for NPC as well as provide insights about the molecular pathogenesis of NPC.

Indexed as

Gene Expression ProfilingBiomarkers, TumorCarcinoma, Squamous CellChinaCluster AnalysisGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansNasopharyngeal NeoplasmsOligonucleotide Array Sequence AnalysisOncogenesSignal TransductionBiomarkers, Tumor

Identifiers

PMID18570662
PMCPMC2443113
OpenAlexW2047790795

What OpenQuestion holds

Textmetadata
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.