NCT00339963

Brief Summary

This study will use genomics-based technology, such as DNA microarrays, to more precisely diagnose subsets of lymphoma, leukemia and multiple myeloma patients. There have been many attempts to classify lymphoid cancers in ways that will be useful for clinical diagnosis and treatment. Although broad diagnostic categories have been reliably defined, patients within each category have distinct clinical courses, suggesting that these classifications could be further divided into molecular (genetic) subtypes. For example, 40 percent of patients with diffuse large B-cell lymphoma achieve long-term disease remissions following combination chemotherapy and are apparently cured, whereas the remaining 60 percent die from the disease. Similarly, some patients with follicular lymphoma develop aggressive disease within a few years of diagnosis, while others have stable disease over 10 to 20 years. Although the distinctions in clinical course of these diseases are recognized, there are no studies to determine the molecular (genetic) basis for this variability. This study will try to define new molecular diagnostic categories in these diseases and correlate them with clinical features, including treatment response, disease remission and overall survival following chemotherapy. This retrospective study will use clinical data and tissue samples from participating centers in the Lymphoma/Leukemia Molecular Profiling Project LLMPP). New patients will not be recruited for this study. Biopsy materials, including fresh frozen or OTC-embedded lymphoma biopsy material, viably frozen samples of peripheral blood cells from leukemia patients, and viably frozen samples of bone marrow aspirates from multiple myeloma patients will be collected from pathologists participating in the LLMPP. RNA and genomic DNA will be extracted from the tumor samples. A variety of technologies will be used to characterize the genome of the cancer cells, including lymphochip microarrays for array-based comparative genomic hybridization; Southern blotting and PCR for translocation of genes previously implicated in these malignancies; and PCR and DNA sequencing methods for analyzing base changes in the genome of the cancer cells. Clinical information from the initial diagnosis to disease relapse will be taken from existing databases and/or patient charts. Gene expression will be correlated with the clinical data. If a small number of genes is found to strongly predict clinical outcome, quantitative RT-PCR assays using the Taqman technology may be developed as an alternative to DNA microarray analysis.

Trial Health

80
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,340

participants targeted

Target at P75+ for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 9, 2001

Completed
4.6 years until next milestone

First Submitted

Initial submission to the registry

June 19, 2006

Completed
2 days until next milestone

First Posted

Study publicly available on registry

June 21, 2006

Completed
Last Updated

May 1, 2026

Status Verified

February 11, 2026

First QC Date

June 19, 2006

Last Update Submit

April 30, 2026

Conditions

Keywords

MicroarrayLymphomaGene ExpressionMolecular DiagnosisPrognosisNatural HistoryLeukemiaMyelomaLymphoid Malignancy

Outcome Measures

Primary Outcomes (1)

  • Gene expression on a genomic scale in lymphoma, leukemia and multiple myeloma samples.

    Define new molecular diagnostic categories in these diseases that are clinically relevant and to gain new insight into the molecular pathways that are active in these malignancies.

    Every year

Eligibility Criteria

Age1 Year+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients diagnosed and/or treated at one of the institutions participating in the LLMPP or at The National Cancer Center Singapore.@@@

You may qualify if:

  • Diagnosis of lymphoid malignancy at one of the LLMPP participating institutions, including specimens originating at other clinical sites and submitted to LLMPP participating sites or National Cancer Center Singapore.
  • Informed consent for research studies performed on biopsy material or waiver of the requirement for informed consent by the clinical research review boards at the LLMPP institutions or National Cancer Center Singapore.
  • Sufficient frozen biopsy and/or FFPE material from initial biopsy and/or biopsies at relapse of disease to obtain adequate RNA and DNA for gene expression profiling and analysis of genomic alterations in the malignant cells.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National Cancer Institute (NCI), 9000 Rockville Pike

Bethesda, Maryland, 20892, United States

Location

Related Publications (3)

  • Gascoyne RD, Adomat SA, Krajewski S, Krajewska M, Horsman DE, Tolcher AW, O'Reilly SE, Hoskins P, Coldman AJ, Reed JC, Connors JM. Prognostic significance of Bcl-2 protein expression and Bcl-2 gene rearrangement in diffuse aggressive non-Hodgkin's lymphoma. Blood. 1997 Jul 1;90(1):244-51.

    PMID: 9207459BACKGROUND
  • Vose JM. Current approaches to the management of non-Hodgkin's lymphoma. Semin Oncol. 1998 Aug;25(4):483-91.

    PMID: 9728598BACKGROUND
  • Harris NL, Jaffe ES, Stein H, Banks PM, Chan JK, Cleary ML, Delsol G, De Wolf-Peeters C, Falini B, Gatter KC, et al. A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group. Blood. 1994 Sep 1;84(5):1361-92. No abstract available.

    PMID: 8068936BACKGROUND

MeSH Terms

Conditions

LeukemiaMultiple MyelomaHodgkin DiseaseLymphoma, Non-HodgkinLymphomaNeoplasms, Plasma Cell

Condition Hierarchy (Ancestors)

Neoplasms by Histologic TypeNeoplasmsHematologic DiseasesHemic and Lymphatic DiseasesHemostatic DisordersVascular DiseasesCardiovascular DiseasesParaproteinemiasBlood Protein DisordersHemorrhagic DisordersLymphoproliferative DisordersImmunoproliferative DisordersImmune System DiseasesLymphatic Diseases

Study Officials

  • Louis M Staudt, M.D.

    National Cancer Institute (NCI)

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
NIH
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 19, 2006

First Posted

June 21, 2006

Study Start

November 9, 2001

Last Updated

May 1, 2026

Record last verified: 2026-02-11

Locations