Evidence map›Paper›PMID 28525363›Full record

ArticleOncotarget2017

Targeted sequencing of tonsillar and base of tongue cancer and human papillomavirus positive unknown primary of the head and neck reveals prognostic effects of mutated FGFR3.

Cinzia Bersani, Lars Sivars, Linnea Haeggblom, Sebastian DiLorenzo, Michael Mints, Andreas Ährlund-Richter, Nikolaos Tertipis, Eva Munck-Wikland, Anders Näsman, Torbjörn Ramqvist and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  8. Sequencing Analysis ofCurrent issues in molecular biology · 2023
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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

11 authors at 2 institutions in 1 country.

Cinzia BersaniDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Lars SivarsDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Linnea HaeggblomDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Sebastian DiLorenzoDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Michael MintsDepartment of Medicine, Karolinska Institutet, Stockholm, Sweden.
Andreas Ährlund-RichterDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Nikolaos TertipisDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Eva Munck-WiklandDepartment of Clinical Science and Technology, Karolinska Institutet, Stockholm, Sweden.
Anders NäsmanDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Torbjörn RamqvistDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Tina DalianisDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman papillomavirus positive (HPV+) tonsillar cancer (TSCC), base of tongue cancer (BOTSCC) and unknown primary cancer of the head and neck (HNCUP) have better outcome than corresponding HPV- cancers. To find predictive markers for response to treatment, and correlations and differences in mutated oncogenes and suppressor genes between HPV+ TSCC/BOTSSCC and HPV+ HNCUP and HPV- TSCC/BOTSCC targeted next-generation sequencing was performed of frequently mutated regions in 50 cancer related genes. PATIENTS AND

methodsDNA from 348 TSCC/BOTSCC and 20 HNCUP from patients diagnosed 2000-2011, was sequenced by the Ion Proton sequencing platform using the Ion AmpliSeq Cancer Hotspot Panel v2 to identify frequently mutated regions in 50 cancer related genes. Ion Torrent Variant Caller software was used to call variants.

results279 HPV+ TSCC/BOTSCC, 46 HPV- TSCC/BOTSCC and 19 HPV+ HNCUP samples qualified for further analysis. Mutations/tumor were fewer in HPV+ TSCC/BOTSCC and HNCUP, compared to HPV- tumors (0.92 vs. 1.32 vs. 1.68). Differences in mutation frequency of TP53 and PIK3CA were found between HPV+ TSCC/BOTSCC and HNCUP and HPV- TSCC/BOTSCC. In HPV+ TSCC/BOTSCC presence of FGFR3 mutations correlated to worse prognosis. Other correlations to survival within the groups were not disclosed.

conclusionsIn HPV+ TSCC/BOTSCC mutation of PIK3CA was most frequently observed, while TP53 mutations dominated in HPV- TSCC/BOTSCC. In HPV+ TSCC/BOTSCC and HNCUP, mutations/tumor were similar in frequency and fewer compared to that in HPV- TSCC/BOTSCC. Notably, FGFR3 mutations in HPV+ TSCC/BOTSCC indicated worse prognosis.

Indexed as

MutationAdultAgedAged, 80 and overClass I Phosphatidylinositol 3-KinasesFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplasms, Unknown PrimaryPapillomavirus InfectionsPrognosisReceptor, Fibroblast Growth Factor, Type 3Sequence Analysis, DNASurvival AnalysisClass I Phosphatidylinositol 3-KinasesFGFR3 protein, humanPIK3CA protein, humanReceptor, Fibroblast Growth Factor, Type 3TP53 protein, humanTumor Suppressor Protein p53base of tongue cancercancer of unknown primary of the head and neck regionFGFR3 mutationHPVtonsillar cancer

Identifiers

PMID28525363
PMCPMC5471059
OpenAlexW2588881450

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.