Evidence map›Paper›PMID 26052356›Full record

ArticleClinical epigenetics2015

MicroRNA expression profiling predicts clinical outcome of carboplatin/paclitaxel-based therapy in metastatic melanoma treated on the ECOG-ACRIN trial E2603.

Liza C Villaruz, Grace Huang, Marjorie Romkes, John M Kirkwood, Shama C Buch, Tomoko Nukui, Keith T Flaherty, Sandra J Lee, Melissa A Wilson, Katherine L Nathanson and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. The miRNAs Role in Melanoma and in Its Resistance to Therapy.International journal of molecular sciences · 2020
    Review
  4. MicroRNA-Directed Cancer Therapies: Implications in Melanoma Intervention.The Journal of pharmacology and experimental therapeutics · 2018
    Review
  5. Review
  6. Integrated Theory- and Data-driven Feature Selection in Gene Expression Data Analysis.Proceedings. International Conference on Data Engineering · 2017
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. 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 at 5 institutions in 1 country.

Liza C Villaruz *University of Pittsburgh Cancer Institute, Pittsburgh, PA USA.
Grace Huang *University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Marjorie RomkesUniversity of Pittsburgh Cancer Institute, Pittsburgh, PA USA.
John M KirkwoodUniversity of Pittsburgh Cancer Institute, Pittsburgh, PA USA.
Shama C BuchUniversity of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Tomoko NukuiUniversity of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Keith T FlahertyUniversity of Pennsylvania, Philadelphia, PA USA.
Sandra J LeeDana Farber Cancer Institute, Boston, MA USA.
Melissa A WilsonUniversity of Pennsylvania, Philadelphia, PA USA.
Katherine L NathansonUniversity of Pennsylvania, Philadelphia, PA USA.
Panayiotis V BenosUniversity of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Hussein A TawbiUniversity of Pittsburgh Cancer Institute, Pittsburgh, PA USA.
University of Pittsburgh · USUPMC Hillman Cancer Center · USUniversity of Pennsylvania · USDana-Farber Cancer Institute · USPhiladelphia University · US

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$167.6M
VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
ECOG OPERATIONS OFFICE (IBCSG)U10CA021115 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI COMIS, ROBERT L · 1985 to 2013
$132.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
ECOG-ACRIN Biospecimen Bank to Support NCTNU24CA196172 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI STANLEY R. HAMILTON, Scott D Jewell · 2015 to 2026
$41.1M
ECOG Statistical Office Data Management GrantU10CA066636 · NCI · FRONTIER SCI &TECHNOLOGY RSCH FDN, INC · PI GRAY, ROBERT J · 1994 to 2013
$39.5M
PROVIDE STATISTICAL SERVICESU10CA023318 · NCI · DANA-FARBER CANCER INSTITUTE · PI GRAY, ROBERT J · 1985 to 2013
$33.4M
Therapuetic Immune Targeting of EphA2 Expressed by Melanoma & Its Tumor-AssociateP50CA121973 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIRKWOOD, JOHN MUNN · 2008 to 2018
$22.9M
ECOG Specimen BankingU24CA114737 · NCI · FRONTIER SCI &TECHNOLOGY RSCH FDN, INC · PI COMIS, ROBERT L · 2005 to 2014
$9.3M
NCI NCTN-Network Lead Academic Participating Site at UPMC Hillman Cancer CenterUG1CA233184 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ADAM M BRUFSKY, John Munn Kirkwood · 2019 to 2026
$7.7M
ONCOLOGYU10CA015488 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LUGER, SELINA M · 1985 to 2013
$5.6M
NCI NIH HHS P30 CA016087NCI NIH HHS P30 CA047904NCI NIH HHS P50 CA121973NCI NIH HHS U10 CA015488NCI NIH HHS U10 CA021115NCI NIH HHS U10 CA023318NCI NIH HHS U10 CA066636NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U10 CA180844NCI NIH HHS U24 CA114737NCI NIH HHS U24 CA196172NCI NIH HHS UG1 CA233184NLM NIH HHS R01 LM012087
6 · The paper itself

Abstract

backgroundCarboplatin/paclitaxel (CP), with or without sorafenib, result in objective response rates of 18-20 % in unselected chemotherapy-naïve patients. Molecular predictors of survival and response to CP-based chemotherapy in metastatic melanoma (MM) are critical to improving the therapeutic index. Intergroup trial E2603 randomized MM patients to CP with or without sorafenib. Expression data were collected from pre-treatment formalin-fixed paraffin-embedded (FFPE) tumor tissues from 115 of 823 patients enrolled on E2603. The selected patients were balanced across treatment arms, BRAF status, and clinical outcome. We generated data using Nanostring array (microRNA (miRNA) expression) and DNA-mediated annealing, selection, extension and ligation (DASL)/Illumina microarrays (HT12 v4) (mRNA expression) with protocols optimized for FFPE samples. Integrative computational analysis was performed using a novel Tree-guided Recursive Cluster Selection (T-ReCS) [1] algorithm to select the most informative features/genes, followed by TargetScan miRNA target prediction (Human v6.2) and mirConnX [2] for network inference.

resultsT-ReCS identified PLXNB1 as negatively associated with progression-free survival (PFS) and miR-659-3p as the primary miRNA associated positively with PFS. miR-659-3p was differentially expressed based on PFS but not based on treatment arm, BRAF or NRAS status. Dichotomized by median PFS (less vs greater than 4 months), miR-659-3p expression was significantly different. High miR-659-3p expression distinguished patients with responsive disease (complete or partial response) from patients with stable disease. miR-659-3p predicted gene targets include NFIX, which is a transcription factor known to interact with c-Jun and AP-1 in the context of developmental processes and disease.

conclusionsThis novel integrative analysis implicates miR-659-3p as a candidate predictive biomarker for MM patients treated with platinum-based chemotherapy and may serve to improve patient selection.

Indexed as

BiomarkersChemotherapyMelanomaMicroRNAsPredictiveResponse

Identifiers

PMID26052356
PMCPMC4457092
OpenAlexW1518432531

What OpenQuestion holds

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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.