Evidence map›Paper›PMID 26046304›Full record

ArticleOncotarget2015

Targeted DNA and RNA sequencing of fine-needle biopsy FFPE specimens in patients with unresectable hepatocellular carcinoma treated with sorafenib.

Kazuko Sakai, Haruhiko Takeda, Norihiro Nishijima, Etsuro Orito, Kouji Joko, Yasushi Uchida, Namiki Izumi, Kazuto Nishio, Yukio Osaki

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

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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 7 institutions in 1 country.

Kazuko SakaiDepartment of Genome Biology, Kinki University Faculty of Medicine, Ohono-Higashi, Osaka-Sayamashi, Osaka, Japan.
Haruhiko TakedaDepartment of Gastroenterology and Hepatology, Osaka Red Cross Hospital, Osaka, Japan.
Norihiro NishijimaDepartment of Gastroenterology and Hepatology, Osaka Red Cross Hospital, Osaka, Japan.
Etsuro OritoDepartment of Gastroenterology and Hepatology, Nagoya Daini Red Cross Hospital, Nagoya City, Japan.
Kouji JokoCenter for Liver-Biliary-Pancreatic Diseases, Matsuyama Red Cross Hospital, Matsuyama City, Japan.
Yasushi UchidaDepartment of Gastroenterology, Matsue Red Cross Hospital, Matsue City, Japan.
Namiki IzumiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan.
Kazuto NishioDepartment of Genome Biology, Kinki University Faculty of Medicine, Ohono-Higashi, Osaka-Sayamashi, Osaka, Japan.
Yukio OsakiDepartment of Gastroenterology and Hepatology, Osaka Red Cross Hospital, Osaka, Japan.
Kindai University · JPOsaka Red Cross Hospital · JPJapanese Red Cross Nagoya Daini Hospital · JPKyoto University · JPMatsue Red Cross Hospital · JPMatsuyama Red Cross Hospital · JPMusashino Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The multi-kinase inhibitor sorafenib is now used as standard therapy for advanced hepatocellular carcinoma (HCC). Predictive biomarkers of response to sorafenib are thus necessary. The purpose of this study was to assess the feasibility of using targeted DNA and RNA sequencing to elucidate candidate biomarkers of sorafenib response using fine-needle biopsy, formalin-fixed paraffin-embedded (FFPE) specimens in patients with HCC. Targeted DNA and RNA deep sequencing were feasible for the evaluation of fine-needle biopsy FFPE specimens obtained from 46 patients with HCC treated with sorafenib. Frequent mutations of suppressor genes, such as CTNNB1 (34.8%) and TP53 (26.1%), were detected in the HCC tumors. After excluding these suppressor genes, the average numbers of detected oncogene mutations differed significantly between the non-PD and PD groups (P = 0.0446). This result suggests that the oncogene mutational burden in the tumor might be associated with the clinical response to sorafenib. We have identified candidate gene expression (TGFa, PECAM1, and NRG1) in tumor for the prediction of sorafenib response and PFS by RNA sequencing. Our findings provide new insights into biomarkers for sorafenib therapy and allow us to discuss future therapeutic strategies.

Indexed as

Sequence Analysis, DNASequence Analysis, RNAAgedAged, 80 and overAntineoplastic Agentsbeta CateninBiomarkersBiomarkers, TumorBiopsy, Fine-NeedleCarcinoma, HepatocellularFemaleFormaldehydeGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansAntineoplastic Agentsbeta CateninBiomarkersBiomarkers, TumorCTNNB1 protein, humanFormaldehydeNeuregulin-1NiacinamideNRG1 protein, humanPhenylurea CompoundsPlatelet Endothelial Cell Adhesion Molecule-1SorafenibTGFA protein, humanTP53 protein, humanTransforming Growth Factor alphaTumor Suppressor Protein p53hepatocellular cancermutationresponsesorafenib

Identifiers

PMID26046304
PMCPMC4673292
OpenAlexW1563776571

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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.