Evidence map›Paper›PMID 25779945›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2015

The Use of Transcriptional Profiling to Improve Personalized Diagnosis and Management of Cutaneous T-cell Lymphoma (CTCL).

Ivan V Litvinov, Elena Netchiporouk, Brendan Cordeiro, Marc-André Doré, Linda Moreau, Kevin Pehr, Martin Gilbert, Youwen Zhou, Denis Sasseville, Thomas S Kupper

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Epigenetics of Cutaneous T-Cell Lymphomas.International journal of molecular sciences · 2022
    Review
  19. Review
  20. 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

10 authors at 4 institutions in 2 countries.

Ivan V LitvinovDivision of Dermatology, McGill University Health Centre, Montréal, Quebec, Canada.
Elena NetchiporoukDivision of Dermatology, McGill University Health Centre, Montréal, Quebec, Canada.
Brendan CordeiroDivision of Dermatology, McGill University Health Centre, Montréal, Quebec, Canada.
Marc-André DoréDivision of Dermatology, Université Laval, Québec, Canada.
Linda MoreauDivision of Dermatology, McGill University Health Centre, Montréal, Quebec, Canada.
Kevin PehrDivision of Dermatology, McGill University Health Centre, Montréal, Quebec, Canada. Division of Dermatology, Jewish General Hospital, Montréal, Quebec, Canada.
Martin GilbertDivision of Dermatology, Université Laval, Québec, Canada.
Youwen ZhouDepartment of Dermatology and Skin Science, The University of British Columbia, Vancouver, British Columbia, Canada.
Denis SassevilleDivision of Dermatology, McGill University Health Centre, Montréal, Quebec, Canada. tkupper@partners.org denis.sasseville@mcgill.ca.
Thomas S KupperHarvard Skin Disease Research Center, Department of Dermatology, Brigham and Women's Hospital, Harvard University, Boston, Massachusetts. tkupper@partners.org denis.sasseville@mcgill.ca.
McGill University Health Centre · CAUniversité Laval · CABrigham and Women's Hospital · USUniversity of British Columbia · CA

Funding

Targeting Raf in Melanoma: Mechanisms for Effect & Resistance & Opportunities forP50CA093683 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLUB, TODD R. · 2001 to 2012
$25.8M
Canadian Institutes of Health ResearchNCI NIH HHS P50 CA093683
6 · The paper itself

Abstract

purposeAlthough many patients with mycosis fungoides presenting with stage I disease enjoy an indolent disease course and normal life expectancy, about 15% to 20% of them progress to higher stages and most ultimately succumb to their disease. Currently, it is not possible to predict which patients will progress and which patients will have a stable disease. Previously, we conducted microarray analyses with RT-PCR validation of gene expression in biopsy specimens from 60 patients with stage I-IV cutaneous T-cell lymphoma (CTCL), identified three distinct clusters based upon transcription profile, and correlated our molecular findings with 6 years of clinical follow-up. EXPERIMENTAL

designWe test by RT-PCR within our prediction model the expression of about 240 genes that were previously reported to play an important role in CTCL carcinogenesis. We further extend the clinical follow-up of our patients to 11 years. We compare the expression of selected genes between mycosis fungoides/Sézary syndrome and benign inflammatory dermatoses that often mimic this cancer.

resultsOur findings demonstrate that 52 of the about 240 genes can be classified into cluster 1-3 expression patterns and such expression is consistent with their suggested biologic roles. Moreover, we determined that 17 genes (CCL18, CCL26, FYB, T3JAM, MMP12, LEF1, LCK, ITK, GNLY, IL2RA, IL26, IL22, CCR4, GTSF1, SYCP1, STAT5A, and TOX) are able to both identify patients who are at risk of progression and also distinguish mycosis fungoides/Sézary syndrome from benign mimickers.

conclusionsThis study, combined with other gene expression analyses, prepares the foundation for the development of personalized molecular approach toward diagnosis and treatment of CTCL.

Indexed as

Gene Expression ProfilingBiomarkers, TumorDisease ManagementFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticGenetic TestingGenomicsHumansKaplan-Meier EstimateLymphoma, T-Cell, CutaneousMalePrecision MedicinePrognosisSkinSkin DiseasesBiomarkers, Tumor

Identifiers

PMID25779945
PMCPMC4470792
OpenAlexW2006003235

What OpenQuestion holds

Textmetadata
LicenceTDM
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.