Evidence map›Paper›PMID 27846280›Full record

ArticlePloS one2016

Development and Application of a Microfluidics-Based Panel in the Basal/Luminal Transcriptional Characterization of Archival Bladder Cancers.

Doris Kim, YounJeong Choi, James Ireland, Oded Foreman, Rachel N Tam, Rajesh Patel, Erica B Schleifman, Maipelo Motlhabi, Dorothy French, Cheryl V Wong and 7 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

17 authors.

Doris KimOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
YounJeong ChoiDepartment of Biostatistics, Genentech, South San Francisco, California, United States of America.
James IrelandAlternate Allele Consulting, Orinda, California, United States of America.
Oded ForemanDepartment of Pathology, Genentech, South San Francisco, California, United States of America.
Rachel N TamOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Rajesh PatelOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Erica B SchleifmanOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Maipelo MotlhabiOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Dorothy FrenchDepartment of Pathology, Genentech, South San Francisco, California, United States of America.
Cheryl V WongOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Eric PetersOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Luciana MolineroOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Rajiv RajaOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Lukas C AmlerOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Garret M HamptonOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Mark R LacknerOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.
Omar KabbarahOncology Biomarker Development, Genentech, South San Francisco, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the age of personalized medicine stratifying tumors into molecularly defined subtypes associated with distinctive clinical behaviors and predictable responses to therapies holds tremendous value. Towards this end, we developed a custom microfluidics-based bladder cancer gene expression panel for characterization of archival clinical samples. In silico analysis indicated that the content of our panel was capable of accurately segregating bladder cancers from several public datasets into the clinically relevant basal and luminal subtypes. On a technical level, our bladder cancer panel yielded robust and reproducible results when analyzing formalin-fixed, paraffin-embedded (FFPE) tissues. We applied our panel in the analysis of a novel set of 204 FFPE samples that included non-muscle invasive bladder cancers (NMIBCs), muscle invasive disease (MIBCs), and bladder cancer metastases (METs). We found NMIBCs to be mostly luminal-like, MIBCs to include both luminal- and basal-like types, and METs to be predominantly of a basal-like transcriptional profile. Mutational analysis confirmed the expected enrichment of FGFR3 mutations in luminal samples, and, consistently, FGFR3 IHC showed high protein expression levels of the receptor in these tumors. Our bladder cancer panel enables basal/luminal characterization of FFPE tissues and with further development could be used for stratification of bladder cancer samples in the clinic.

Indexed as

Biological Specimen BanksGene Expression Regulation, NeoplasticTranscription, GeneticAdultAgedAged, 80 and overCohort StudiesComputer SimulationFemaleFormaldehydeGenes, NeoplasmHumansMaleMicrofluidicsMiddle AgedParaffin EmbeddingFormaldehyde

Identifiers

PMID27846280
PMCPMC5112874

What OpenQuestion holds

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LicenceCC BY
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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.