Evidence map›Paper›PMID 26192408›Full record

Trial reportPloS one2015

Pro-Inflammatory Cytokines Predict Relapse-Free Survival after One Month of Interferon-α but Not Observation in Intermediate Risk Melanoma Patients.

Ahmad A Tarhini, Yan Lin, Haris Zahoor, Yongli Shuai, Lisa H Butterfield, Steven Ringquist, Helen Gogas, Cindy Sander, Sandra Lee, Sanjiv S Agarwala and 1 more

Open access · goldAbstract readClinical Trial, Phase III
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Modulation of Cytokines in Cancer Patients by Intravenous Ascorbate Therapy.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Article
  7. 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

11 authors at 5 institutions in 2 countries.

Ahmad A TarhiniUniversity of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Yan LinUniversity of Pittsburgh Cancer Institute Biostatistics Facility, Pittsburgh, Pennsylvania, United States of America.
Haris ZahoorUniversity of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Yongli ShuaiUniversity of Pittsburgh Cancer Institute Biostatistics Facility, Pittsburgh, Pennsylvania, United States of America.
Lisa H ButterfieldUniversity of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Steven RingquistUniversity of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Helen GogasHellenic Cooperative Oncology Group, Athens, Greece.
Cindy SanderUniversity of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Sandra LeeDana Farber Cancer Institute, Boston, Massachusetts, United States of America.
Sanjiv S AgarwalaSt. Luke's Cancer Center, Bethlehem, Pennsylvania, United States of America; Temple University, Philadelphia, Pennsylvania, United States of America.
John M KirwoodUniversity of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
University of Pittsburgh · USUPMC Hillman Cancer Center · USDana-Farber Cancer Institute · USHellenic Cooperative Oncology Group · GRTemple University · US

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 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 · 2014 to 2026
$111.2M
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
NCI NCTN-Network Lead Academic Site at UPCIU10CA180844 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRUFSKY, ADAM M, EDWARDS, ROBERT PAGE · 2014 to 2018
$4.5M
NCI NIH HHS CA180794NCI NIH HHS CA180820NCI NIH HHS CA180844NCI NIH HHS P30 CA047904NCI NIH HHS P30CA047904NCI NIH HHS P50 CA121973NCI NIH HHS P50CA121973NCI 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 CA196172
6 · The paper itself

Abstract

backgroundE1697 was a phase III trial of adjuvant interferon (IFN)-α2b for one month (Arm B) versus observation (Arm A) in patients with resected melanoma at intermediate risk. We evaluated the levels of candidate serum cytokines, the HLA genotype, polymorphisms of CTLA4 and FOXP3 genes and the development of autoantibodies for their association with relapse free survival (RFS) in Arm A and Arm B among 268 patients with banked biospecimens.

methodsELISA was used to test 5 autoantibodies. Luminex/One Lambda LABTypeRSSO was used for HLA Genotyping. Selected CTLA4 and FOXP3 Single nucleotide polymorphisms (SNPs) and microsatellites were tested for by polymerase chain reaction (PCR). Sixteen serum cytokines were tested at baseline and one month by Luminex xMAP multiplex technology. Cox Proportional Hazards model was applied and the Wald test was used to test the marginal association of each individual marker and RFS. We used the Lasso approach to select the markers to be included in a multi-marker Cox Proportional Hazards model. The ability of the resulting models to predict one year RFS was evaluated by the time-dependent ROC curve. The leave-one-out method of cross validation (LOOCV) was used to avoid over-fitting of the data.

resultsIn the multi-marker modeling analysis conducted in Arm B, one month serum IL2Rα, IL-12p40 and IFNα levels predicted one year RFS with LOOCV AUC = 82%. Among the three markers selected, IL2Rα and IFNα were the most stable (selected in all the cross validation cycles). The risk score (linear combination of the 3 markers) separated the RFS curves of low and high risk groups well (p = 0.05). This model did not hold for Arm A, indicating a differential marker profile in Arm B linked to the intervention (adjuvant therapy).

conclusionsEarly on-treatment proinflammatory serum markers (IL2Rα, IL-12p40, IFNα) significantly predict RFS in our cohort of patients treated with adjuvant IFN-α2b and warrant further study.

Indexed as

AdultAgedCTLA-4 AntigenCytokinesDisease-Free SurvivalFemaleForkhead Transcription FactorsGenotypeHLA AntigensHumansInterferon-alphaMaleMelanomaMiddle AgedPolymorphism, Single NucleotidePrognosisCTLA-4 AntigenCTLA4 protein, humanCytokinesForkhead Transcription FactorsFOXP3 protein, humanHLA AntigensInterferon-alpha

Identifiers

PMID26192408
PMCPMC4508028
OpenAlexW2197965817

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.