Evidence map›Paper›PMID 16361635›Full record

Trial reportJournal of clinical oncology : official journal of the American Society of Clinical Oncology2005

Predictive utility of circulating methylated DNA in serum of melanoma patients receiving biochemotherapy.

Takuji Mori, Steven J O'Day, Naoyuki Umetani, Steve R Martinez, Minoru Kitago, Kazuo Koyanagi, Christine Kuo, Teh-Ling Takeshima, Robert Milford, He-Jing Wang and 3 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Unraveling the Wide Spectrum of Melanoma Biomarkers.Diagnostics (Basel, Switzerland) · 2021
    Review
  14. Review
  15. Article
  16. Phenotypes from cell-free DNA.Open biology · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Clinical and Prognostic Significance of OAnnals of dermatology · 2018
    Review

6 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 1 country.

Takuji MoriDepartment of Molecular Oncology, John Wayne Cancer Institute at Saint John's Health Center, Santa Monica, CA 90404, USA.
Steven J O'Day
Naoyuki Umetani
Steve R Martinez
Minoru Kitago
Kazuo Koyanagi
Christine Kuo
Teh-Ling Takeshima
Robert Milford
He-Jing Wang
Vu D Vu
Sandy L Nguyen
Dave S B Hoon
Angeles Clinic and Research Institute · USMolecular Oncology (United States) · USSaint John's Health Center · US

Funding

SURGICAL ONCOLOGY WITH COMBINATION THERMO-CHEMOTHERAPYP01CA029605 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COCHRAN, ALISTAIR JOHN · 1985 to 2013
$75.2M
TUMOR ANTIGENS THAT ELICIT HUMORAL IMMUNE RESPONSES IN CANCER PATIENTSP01CA012582 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MORTON, DONALD L · 1985 to 2010
$40.8M
DNA Markers As Surrogates:Melanoma Patient ResponseR33CA100314 · NCI · SAINT JOHN'S CANCER INSTITUTE · PI HOON, DAVE S B · 2005 to 2008
$1.6M
NCI NIH HHS CA012582NCI NIH HHS P01 CA012582NCI NIH HHS P01 CA029605NCI NIH HHS P0 CA029605NCI NIH HHS R33 CA100314NCI NIH HHS R33-CA100314
6 · The paper itself

Abstract

purposeCurrently, no validated blood-based assays accurately predict treatment response or outcome in melanoma patients. We hypothesized that methylation of tumor-related genes detected in serum DNA could predict disease outcome and therapeutic response in patients receiving concurrent biochemotherapy (BC) for metastatic melanoma. PATIENTS AND

methodsAmerican Joint Committee on Cancer stage IV melanoma patients (N = 50) had blood drawn before administration of BC. Patients (n = 47) were classified as BC responders or nonresponders. Responders (n = 23) demonstrated a complete or partial response following BC; nonresponders (n = 24) demonstrated progressive disease. Hypermethylation of Ras association domain family 1 (RASSF1A), retinoic acid receptor-beta2 (RAR-beta2), and O6-methylguanine DNA methyltransferase (MGMT) genes were assessed by methylation-specific polymerase chain reaction.

resultsCirculating methylated RASSF1A was significantly less frequent for responders (three of 23 patients; 13%) than nonresponders (10 of 24 patients; 42%; P = .028). Patients with RASSF1A, RAR-beta2, or at least one serum methylated gene had significantly worse overall survival than patients with no methylated genes (log-rank, P = .013, .021, and .01, respectively). Methylated RASSF1A was the only factor that significantly correlated with overall survival and BC response (risk ratio, 2.38; 95% CI, 1.16 to 4.86; P = .018; odds ratio = 0.21; 95% CI, 0.05 to 0.90; P = .036).

conclusionDetection of circulating methylated DNA in serum can predict response to BC and disease outcome.

Indexed as

DNA MethylationAntineoplastic Combined Chemotherapy ProtocolsCisplatinDacarbazineDNA, NeoplasmDrug Administration ScheduleFemaleHumansInterferon-alphaInterferon alpha-2Interleukin-2MaleMelanomaMiddle AgedOdds RatioPredictive Value of TestsCisplatinDacarbazineDNA, NeoplasmInterferon-alphaInterferon alpha-2Interleukin-2RASSF1 protein, humanRecombinant ProteinsTamoxifenTemozolomideTumor Suppressor ProteinsVinblastine

Identifiers

PMID16361635
PMCPMC2856438
OpenAlexW2108281054

What OpenQuestion holds

Textmetadata
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.