Evidence map›Paper›PMID 27602123›Full record

ArticleOncology letters2016

Refined-mapping of the novel TSG within the 17q24.3 chromosomal region in non-small cell lung cancer samples.

Wayren Huang, Yiching Wang, Woeichyn Chu, Ruochia Tseng

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. 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 91% 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, 0 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

4 authors at 1 institution in 1 country.

Wayren HuangDepartment of Biomedical Engineering, School of Biomedical Science and Engineering, National Yang-Ming University, Taipei 11221, Taiwan, R.O.C.
Yiching WangDepartment of Pharmacology, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan, R.O.C.
Woeichyn ChuDepartment of Biomedical Engineering, School of Biomedical Science and Engineering, National Yang-Ming University, Taipei 11221, Taiwan, R.O.C.
Ruochia TsengDepartment of Molecular Biology and Human Genetics, College of Life Science, Tzu Chi University, Hualien 97004, Taiwan, R.O.C.
National Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a leading cause of cancer mortality in Taiwan. It has been previously demonstrated that alterations to tumor suppressor genes (TSGs) are involved in the multi-step carcinogenesis process that results in the development of human cancer, including lung cancer. Both copies of the TSG must be inactivated for their function to be lost. As a result, it is important to search for the genomic regions that potentially contain TSGs and to investigate the etiological association of lung cancer with the allelic deletion of various candidate TSGs. Previous genome-wide loss of heterozygosity (LOH) data has demonstrated that the chromosome region at 17q24.3 was a novel and frequent LOH region that was associated with non-small-cell lung cancer (NSCLC). In the present study, refined mapping using 9 additional microsatellite markers was performed targeting chromosome 17q24.3 by polymerase chain reaction (PCR)-LOH analysis. The allelic loss pattern across 48 available tumors indicates that the minimal deletion region was located between markers D17S1882 and D17S2193 and spanned a distance of approximately 2.7 Mb, reaching 65% LOH at locus D17S1816. A putative gene, LOC51321 (

Indexed as

chromosomedeletionDNA methylationmarkernon-small cell lung cancer

Identifiers

PMID27602123
PMCPMC4998513
OpenAlexW2462893309

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.