Evidence map›Paper›PMID 26377099›Full record

ArticleMolecular cancer2015

Genetic variations in genes of metabolic enzymes predict postoperational prognosis of patients with colorectal cancer.

Guanglong Dong, Xianli He, Yibing Chen, Haiyan Cao, Jiaojiao Wang, Xiaonan Liu, Shukui Wang, Shaogui Wan, Jinliang Xing

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. BioMed research international · 2018
    Article
  7. Racial disparity in metabolic regulation of cancer.Frontiers in bioscience (Landmark edition) · 2017
    Review
  8. 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

9 authors at 5 institutions in 1 country.

Guanglong DongDepartment of General Surgery, The General Hospital of PLA, Beijing, 100853, China.
Xianli HeDepartment of General Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Yibing ChenState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University, 169 Changle West Road, Xi'an, Shaanxi, 710032, China.
Haiyan CaoState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University, 169 Changle West Road, Xi'an, Shaanxi, 710032, China.
Jiaojiao WangState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University, 169 Changle West Road, Xi'an, Shaanxi, 710032, China.
Xiaonan LiuXijing Hospital of Digestive Disease, Fourth Military Medical University, Xi'an, 710032, China.
Shukui WangCentral Laboratory, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Shaogui WanInstitute of Pharmacy, Pharmaceutical College of Henan University, 85 Minglun Street, Kaifeng, Henan, 475001, China. shaoguiwan@126.com.
Jinliang XingState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University, 169 Changle West Road, Xi'an, Shaanxi, 710032, China. xingjinliang@163.com.
Air Force Medical University · CNHenan University · CNNanjing Medical University · CNThe Military General Hospital of Beijing PLA · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic alterations in tricarboxylic acid (TCA) cycle metabolic enzymes were recently linked to various cancers. However, the associations of single nucleotide polymorphisms (SNPs) in genes of these enzymes have not been well studied.

methodsWe genotyped 16 SNPs from 7 genes encoding TCA cycle metabolic enzymes in 697 colorectal carcinoma (CRC) patients receiving surgical resection and analyzed their associations with clinical outcomes by multivariate Cox proportional hazard model. Then, the significant results were validated in another cohort of 256 CRC patients.

resultsWe identified 4 SNPs in 2 genes had significant associations with CRC death risk and 5 SNPs in 3 genes had significant associations with CRC recurrence risk. Similar significant results were confirmed for rs4131826 in SDHC gene, rs544184 in SDHD gene and rs12071124 in FH gene in a validation cohort. Further analysis indicated that unfavorable genotypes exhibited a significant cumulative effect on overall and recurrence-free survival in a dose-dependent manner. Moreover, survival tree analysis indicated that SNP rs4131826 in SDHC gene and SNP rs12071124 in FH gene were the primary factors contributing to the different overall survival time and recurrence-free survival time of CRC patients, respectively. Immunohistochemical analysis further validated the effect of rs4131826 and rs544184 on expression of SDHC and SDHD in tissue samples.

conclusionsOur study suggests that SNPs in TCA cycle metabolic enzymes might be significantly associated with clinical outcomes in Chinese population diagnosed with CRC. Further functional and validated studies are warranted to expend our results to clinical utility.

Indexed as

AgedAged, 80 and overAsian PeopleColorectal NeoplasmsFemaleFumarate HydrataseGenetic Association StudiesHumansMaleMembrane ProteinsMiddle AgedPolymorphism, Single NucleotidePrognosisSuccinate DehydrogenaseSurvival AnalysisFumarate HydrataseMembrane ProteinsSDHC protein, humanSDHD protein, humanSuccinate Dehydrogenase

Identifiers

PMID26377099
PMCPMC4574264
OpenAlexW2127516147

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.