Evidence map›Paper›PMID 26318430›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Association of cancer stem cell markers genetic variants with gallbladder cancer susceptibility, prognosis, and survival.

Anu Yadav, Annapurna Gupta, Neeraj Rastogi, Sushma Agrawal, Ashok Kumar, Vijay Kumar, Balraj Mittal

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Research progress on prognostic factors of gallbladder carcinoma.Journal of cancer research and clinical oncology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Genetic Variation inIndian journal of clinical biochemistry : IJCB · 2017
    Article
  17. Review
  18. Article
  19. Article
  20. Association of Wnt signaling pathway genetic variants in gallbladder cancer susceptibility and survival.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

7 authors at 2 institutions in 1 country.

Anu YadavDepartment of Genetics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, UP, India.
Annapurna GuptaDepartment of Genetics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, UP, India.
Neeraj RastogiDepartment of Radiotherapy, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, UP, India.
Sushma AgrawalDepartment of Radiotherapy, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, UP, India.
Ashok KumarDepartment of Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, UP, India.
Vijay KumarSurgical Oncology, KGMU, Lucknow, UP, India.
Balraj MittalDepartment of Genetics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, UP, India. bml_pgi@yahoo.com.
Sanjay Gandhi Post Graduate Institute of Medical Sciences · INKing George's Medical University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes important to stem cell progression have been involved in the genetics and clinical outcome of cancers. We investigated germ line variants in cancer stem cell (CSC) genes to predict susceptibility and efficacy of chemoradiotherapy treatment in gallbladder cancer (GBC) patients. In this study, we assessed the effect of SNPs in CSC genes (surface markers CD44, ALCAM, EpCAM, CD133) and (molecular markers NANOG, SOX-2, LIN-28A, ALDH1A1, OCT-4) with GBC susceptibility and prognosis. Total 610 GBC patients and 250 controls were genotyped by using PCR-RFLP, ARMS-PCR, and TaqMan allelic discrimination assays. Chemotoxicity graded 2-4 in 200 patients and tumor response was recorded in 140 patients undergoing neoadjuvant chemotherapy (NACT). Differences in genotype and haplotype frequency distributions were calculated by binary logistic regression. Gene-gene interaction model was analyzed by generalized multifactor dimensionality reduction (GMDR). Overall survival was assessed by Kaplan-Meier survival curve and multivariate Cox-proportional methods. ALCAM Ars1157Crs10511244 (P = 0.0035) haplotype was significantly associated with GBC susceptibility. In GMDR analysis, ALCAM rs1157G>A, EpCAM rs1126497T>C emerged as best significant interaction model with GBC susceptibility and ALDH1A1 rs13959T>G with increased risk of grade 3-4 hematological toxicity. SOX-2 rs11915160A>C, OCT-4 rs3130932T>G, and NANOG rs11055786T>C were found best gene-gene interaction model for predicting response to NACT. In both Cox-proportional and recursive partitioning ALCAM rs1157GA+AA genotype showed higher mortality and hazard ratio. ALCAM gene polymorphisms associated with GBC susceptibility and survival while OCT-4, SOX-2, and NANOG variants showed an interactive role with treatment response.

Indexed as

AdultAllelesBiomarkers, TumorCase-Control StudiesFemaleGallbladder NeoplasmsGenetic Predisposition to DiseaseHaplotypesHumansKaplan-Meier EstimateMaleMiddle AgedNeoplastic Stem CellsPolymorphism, Single NucleotidePrognosisBiomarkers, TumorCancer stem cell (CSC)Gallbladder cancer (GBC)Survival recursive partitioning (Rpart)Treatment outcomes

Identifiers

PMID26318430
OpenAlexW1536366545

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.