Evidence map›Paper›PMID 25965825›Full record

Trial reportOncotarget2015

SLC15A2 genomic variation is associated with the extraordinary response of sorafenib treatment: whole-genome analysis in patients with hepatocellular carcinoma.

Yeon-Su Lee, Bo Hyun Kim, Byung Chul Kim, Aesun Shin, Jin Sook Kim, Seung-Hyun Hong, Jung-Ah Hwang, Jung Ahn Lee, Seungyoon Nam, Sung Hoon Lee and 2 more

Abstract readClinical Trial, Phase II
In one paragraph

Trial report in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Article
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  8. Review
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  14. Review
  15. Review
  16. Review
  17. Targeted therapy for hepatocellular carcinoma.Signal transduction and targeted therapy · 2020
    Review
  18. Article
  19. Is the era of sorafenib over? A review of the literature.Therapeutic advances in medical oncology · 2020
    Review
  20. 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

12 authors.

Yeon-Su LeeCancer Genomics Branch, National Cancer Center, Goyang, Republic of Korea.
Bo Hyun KimCenter for Liver Cancer, National Cancer Center, Goyang, Republic of Korea.
Byung Chul KimThe Genomics Institute, Biomedical Engineering, UNIST, Ulsan, Republic of Korea.
Aesun ShinMolecular Epidemiology Branch, National Cancer Center, Goyang, Republic of Korea.
Jin Sook KimLiver and Pancreatobiliary Cancer Branch, National Cancer Center, Goyang, Republic of Korea.
Seung-Hyun HongCancer Genomics Branch, National Cancer Center, Goyang, Republic of Korea.
Jung-Ah HwangCancer Genomics Branch, National Cancer Center, Goyang, Republic of Korea.
Jung Ahn LeeLiver and Pancreatobiliary Cancer Branch, National Cancer Center, Goyang, Republic of Korea.
Seungyoon NamNew Experimental Therapeutics Branch, National Cancer Center, Goyang, Republic of Korea.
Sung Hoon LeePersonal Genomics Institute, Genome Research Foundation, TheragenEtex, Suwon, Republic of Korea.
Jong BhakThe Genomics Institute, Biomedical Engineering, UNIST, Ulsan, Republic of Korea.
Joong-Won ParkCenter for Liver Cancer, National Cancer Center, Goyang, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable biomarkers are required to predict the response to sorafenib. We investigated genomic variations associated with responsiveness to sorafenib for patients with unresectable hepatocellular carcinoma (HCC). Blood samples from 2 extreme, 2 strong and 3 poor responders to sorafenib were subjected to whole-genome analysis. Then, we validated candidate genomic variations with another 174 HCC patients, and performed in vitro functional analysis and in silico analyses. Genomic data of >96 gigabases/sample was generated at average of ~34X sequencing depth. In total, 1813 genomic variations were matched to sorafenib responses in clinical data; 708 were located within regions for sorafenib-target genes or drug absorption, distribution, metabolism, and excretion (ADME)-related genes. From them, 36 variants were within the coding regions and 6 identified as non-synonymous single-nucleotide variants from 4 ADME-related genes (ABCB1, FMO3, MUSK, and SLC15A2). Validation genotyping confirmed sequencing results and revealed patients genotype for rs2257212 in SLC15A2 showed longer progression-free survival (HR = 2.18). In vitro study displayed different response to sorafenib depending on the genotype of SLC15A2. Structural prediction analysis revealed changes of the phosphorylation levels in protein, potentially affecting sorafenib-associated enzymatic activity. Our finding using extreme responder seems to generate robust biomarker to predict the response of sorafenib treatment for HCC.

Indexed as

AgedAntineoplastic AgentsBase SequenceBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorDisease-Free SurvivalDrug Resistance, NeoplasmFemaleGenome, HumanGenotypeHumansLiver NeoplasmsMaleMiddle AgedNiacinamideAntineoplastic AgentsBiomarkers, Tumorhydrogen-coupled oligopeptide transporter PepT2NiacinamidePhenylurea CompoundsSorafenibSymportersextraordinary responsegenome variationshepatocellular carcinomasorafenibwhole-genome sequencing

Identifiers

PMID25965825
PMCPMC4599281

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.