Evidence map›Paper›PMID 22311261›Full record

ArticleMedical oncology (Northwood, London, England)2012

Identification and chromosomal localizations of signal transduction genes associated with human ovarian cancer metastasis.

Zhu Xin, Xu Shenhua, Mou Hanzhou, Gu Linhui, Zhu Chihong, Liu Xianglin

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Zhu XinZhejiang Cancer Research Institute, Zhejiang Cancer Hospital, Guangji Road 38, Hangzhou, 310022, Zhejiang Province, China.
Xu Shenhua
Mou Hanzhou
Gu Linhui
Zhu Chihong
Liu Xianglin
Zhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene chip technology can be used to identify and localize signal transduction genes associated with metastasis. We used the human genome U133A gene chip to detect differences in gene expression profiles among high (H) and low (L) metastatic human ovarian cancer cell lines (HO-8910PM, HO-8910), and normal ovarian tissues (C), to identify metastasis-associated signal transduction genes and determine their chromosomal localizations. A total of 37 signal transduction genes showed more than twofold differences in expression levels between the H and L metastatic ovarian cancer cell lines; of these, 21 genes were up-regulated [signal log ratio (SLR)≥1], and 16 genes were down-regulated (SLR≤-1). Most genes were located on chromosome 1 (7 genes, 18.9%), followed by chromosome 8 (5 genes, 13.5%), then chromosomes 6, 11, and 17 (3 genes each, 8.1%). A total of 21 of the differentially expressed genes (56.7%) were localized on the short arm of the chromosome (q). The disruption of signal transduction gene expression may be an important factor associated with ovarian cancer metastasis. The affected signal transduction genes were localized to chromosomes 1, 8, 6, 11, and 17.

Indexed as

Chromosome MappingCell Line, TumorErbB ReceptorsFemaleHumansNeoplasm MetastasisOligonucleotide Array Sequence AnalysisOvarian NeoplasmsReceptors, CXCR4Signal TransductionTransforming Growth Factor betaCXCR4 protein, humanErbB ReceptorsReceptors, CXCR4Transforming Growth Factor beta

Identifiers

PMID22311261
OpenAlexW2048402474

What OpenQuestion holds

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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.