Evidence map›Paper›PMID 30941318›Full record

ArticleAnnals of surgical treatment and research2019

Genetic features associated with

Keun Soo Ahn, Koo Jeong Kang, Yong Hoon Kim, Tae-Seok Kim, Bong-Il Song, Hae Won Kim, Daniel O'Brien, Lewis R Roberts, Jeong Woo Lee, Kyoung Sook Won

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical treatment and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  13. KSNM60 in Clinical Nuclear Oncology.Nuclear medicine and molecular imaging · 2021
    Review
  14. Article
  15. Standardized uptake value (SUVCancer biology & therapy · 2020
    Article
  16. Article
  17. Article
  18. Article
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

10 authors at 3 institutions in 2 countries.

Keun Soo AhnDepartment of Surgery, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0001-8738-8009
Koo Jeong KangDepartment of Surgery, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea.
Yong Hoon KimDepartment of Surgery, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea.
Tae-Seok KimDepartment of Surgery, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea.
Bong-Il SongDepartment of Nuclear Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea.
Hae Won KimDepartment of Nuclear Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea.
Daniel O'BrienDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Lewis R RobertsDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
Jeong Woo LeeDepartment of Surgery, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea.
Kyoung Sook WonDepartment of Nuclear Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea.
Keimyung University Dongsan Medical Center · KRMayo Clinic · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn intrahepatic cholangiocarcinoma (iCCA), genetic characteristics on

methodsWe performed RNA sequencing of 22 cases iCCA who underwent preoperative

resultsPatients with SUVmax higher than 9.0 (n = 9) had poorer disease-free survival than those with lower SUVmax (n = 13, P = 0.035). Genes related to glycolysis and gluconeogenesis, phosphorylation and cell cycle were significantly correlated with SUVmax (r ≥ 0.5). RRM2, which is related to the toxicity of Gemcitabine was positively correlated with SUVmax, and SLC27A2 which is associated with Cisplastin response was negatively correlated with SUVmax. According to the pathway analysis, cell cycle, cell division, hypoxia, inflammatory, and metabolism-related pathways were enriched in high SUVmax patients.

conclusionThe genomic features of gene expression and pathways can be predicted by FDG uptake features in iCCA. Patients with high FDG uptake have enriched cell cycle, metabolism and hypoxic pathways, which may lead to a more rational targeted treatment approach.

Indexed as

Cell cycleCholangiocarcinomaFluorodeoxyglucose F18Gene expressionPositron-emission tomography

Identifiers

PMID30941318
PMCPMC6444048
OpenAlexW2933143705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.