Evidence map›Paper›PMID 24516016›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2014

CD49d is the strongest flow cytometry-based predictor of overall survival in chronic lymphocytic leukemia.

Pietro Bulian, Tait D Shanafelt, Chris Fegan, Antonella Zucchetto, Lilla Cro, Holger Nückel, Luca Baldini, Antonina V Kurtova, Alessandra Ferrajoli, Jan A Burger and 5 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 2 pooled it
10.3field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 2 syntheses or guidelines pooled it, 189 citations in OpenAlex.

  1. Pooled it
  2. Chronic lymphocytic leukemia/small lymphocytic lymphoma, version 1.2015.Journal of the National Comprehensive Cancer Network : JNCCN · 2015
    Guideline
  3. Clinical Flow Cytometric Testing in Chronic Lymphocytic Leukemia.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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  12. Article
  13. Association of Genetic Variants at theInternational journal of molecular sciences · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Pietro BulianPietro Bulian, Antonella Zucchetto, and Valter Gattei, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Centro di Riferimento Oncologico, Aviano; Lilla Cro and Luca Baldini, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico and Università degli Studi, Milan; Gianluca Gaidano and Davide Rossi, Amedeo Avogadro University of Eastern Piedmont, Novara; Giovanni Del Poeta, Tor Vergata University, S. Eugenio Hospital, Rome, Italy; Tait D. Shanafelt, Mayo Research Center, Rochester, NY; Chris Fegan and Chris Pepper, Institute of Cancer and Genetics, Cardiff University School of Medicine, Cardiff, United Kingdom; Holger Nückel, University of Duisburg-Essen, Essen, Germany; and Antonina V. Kurtova, Alessandra Ferrajoli, and Jan A. Burger, University of Texas MD Anderson Cancer Center, Houston, TX.
Tait D Shanafelt
Chris Fegan
Antonella Zucchetto
Lilla Cro
Holger Nückel
Luca Baldini
Antonina V Kurtova
Alessandra Ferrajoli
Jan A Burger
Gianluca Gaidano
Giovanni Del Poeta
Chris Pepper
Davide Rossi
Valter Gattei
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · IT

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Keith L. Knutson · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

purposeAlthough CD49d is an unfavorable prognostic marker in chronic lymphocytic leukemia (CLL), definitive validation evidence is lacking. A worldwide multicenter analysis was performed using published and unpublished CLL series to evaluate the impact of CD49d as an overall (OS) and treatment-free survival (TFS) predictor. PATIENTS AND

methodsA training/validation strategy was chosen to find the optimal CD49d cutoff. The hazard ratio (HR) for death and treatment imposed by CD49d was estimated by pooled analysis of 2,972 CLLs; Cox analysis stratified by center and stage was used to adjust for confounding variables. The importance of CD49d over other flow cytometry-based prognosticators (eg, CD38, ZAP-70) was ranked by recursive partitioning.

resultsPatients with ≥ 30% of neoplastic cells expressing CD49d were considered CD49d+. Decrease in OS at 5 and 10 years among CD49d+ patients was 7% and 23% (decrease in TFS, 26% and 25%, respectively). Pooled HR of CD49d for OS was 2.5 (2.3 for TFS) in univariate analysis. This HR remained significant and of similar magnitude (HR, 2.0) in a Cox model adjusted for clinical and biologic prognosticators. Hierarchic trees including all patients or restricted to those with early-stage disease or those age ≤ 65 years always selected CD49d as the most important flow cytometry-based biomarker, with negligible additional prognostic information added by CD38 or ZAP-70. Consistently, by bivariate analysis, CD49d reliably identified patient subsets with poorer outcome independent of CD38 and ZAP-70.

conclusionIn this analysis of approximately 3,000 patients, CD49d emerged as the strongest flow cytometry-based predictor of OS and TFS in CLL.

Indexed as

Flow CytometryADP-ribosyl Cyclase 1Biomarkers, TumorDisease-Free SurvivalGene Expression Regulation, NeoplasticHumansIntegrin alpha4Kaplan-Meier EstimateLeukemia, Lymphocytic, Chronic, B-CellOdds RatioPredictive Value of TestsPrognosisProportional Hazards ModelsZAP-70 Protein-Tyrosine KinaseADP-ribosyl Cyclase 1Biomarkers, TumorIntegrin alpha4ZAP70 protein, humanZAP-70 Protein-Tyrosine Kinase

Identifiers

PMID24516016
PMCPMC4876311
OpenAlexW2149787043

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.