Cited by 392Lymphoma Diagnosis and TreatmentViral-associated cancers and disordersChronic Lymphocytic Leukemia Research

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Proposed classification of lymphoid neoplasms for epidemiologic research from the Pathology Working Group of the International Lymphoma Epidemiology Consortium (InterLymph)

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Morton, Lindsay M., Turner, Jennifer J., Cerhan, James R., Linet, Martha S., Treseler, Patrick A., Clarke, Christina A., Jack, Andrew, Cozen, Wendy, Maynadié, Marc, Spinelli, John J., Costantini, Adele Seniori, Rüdiger, Thomas, Scarpa, Aldo, Zheng, Tongzhang, Weisenburger, Dennis D.·2007·Blood

DOI 10.1182/blood-2006-11-051672PMC PMC1924473

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Abstract

Recent evidence suggests that there is etiologic heterogeneity among the various subtypes of lymphoid neoplasms. However, epidemiologic analyses by disease subtype have proven challenging due to the numerous clinical and pathologic schemes used to classify lymphomas and lymphoid leukemias over the last several decades. On behalf of the International Lymphoma Epidemiology Consortium (InterLymph) Pathology Working Group, we present a proposed nested classification of lymphoid neoplasms to facilitate the analysis of lymphoid neoplasm subtypes in epidemiologic research. The proposed classification is based on the World Health Organization classification of lymphoid neoplasms and the International Classification of Diseases–Oncology, Third Edition (ICD-O-3). We also provide a translation into the proposed classification from previous classifications, including the Working Formulation, Revised European-American Lymphoma (REAL) classification, and ICD-O-2. We recommend that epidemiologic studies include analyses by lymphoma subtype to the most detailed extent allowable by sample size. The standardization of groupings for epidemiologic research of lymphoma subtypes is essential for comparing subtype-specific reports in the literature, harmonizing cases within a single study diagnosed using different systems, as well as combining data from multiple studies for the purpose of pooled analysis or meta-analysis, and will probably prove to be critical for elucidating etiologies of the various lymphoid neoplasms.

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“[19], nous avons regroupé dans le sous-groupe des LMNH les leucémies et les lymphomes lymphoblastiques se distinguant par un degré d’infiltration médullaire blastique de plus de 20 % pour les leucémies et de moins de 20 % pour les lymphomes.”
Background
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Background
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Method
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Background
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Method
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“Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin’s lymphoma (NHL), accounting for approximately 30% − 40% [1–3], with 5-year survival rates ranging from 30% to 80% [2].”
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“…median age at diagnosis is 63 years; the overall incidence in the United States is reported to be 0.17 per million people, with males being affected more often than females and whites at higher risk compared to other ethnic groups, based on a population analysis of the U.S. SEER database [16, 53].”
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“pathologic schemes used to classify lymphomas and lymphoid leukemias [2, 3].”
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Heinen, M. M., van den Brandt, P. A., Schouten, L. J., Goldbohm, R. A., Schouten, H. C., & Verhage, B. A. J. (2014) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-14-0136 · Cited by 1
“In 2007, the Pathology Working Group of the InterLymph has developed a hierarchical scheme for the classification of lymphoid neoplasms and, in addition, provided a translation from previous classifications (28).”
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Yi, T., Wang, S., Wang, L., Wu, M., & Zhao, W. (2021) · PubMed Central · doi:10.3760/cma.j.issn.0253-2727.2021.12.005 · Cited by 1
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[Exploring the detection of MYD88 mutation in patients with Waldenström macroglobulinemia by different methods and specimens].
Yi, T., Pan, Z. K., Wang, S., Wang, L., & Zhao, W. (2022) · PubMed Central · doi:10.3760/cma.j.issn.0253-2727.2022.05.007 · Cited by 1
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Laboratoire de Biologie Moléculaire Appliquée et d'Immunologie
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Angiogenic and vasculogenic phenotyping allows distinguishing lymphoma from leukemic 'stages' of chronic lymphocytic leukemia
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Additional file 3 of Single-cell transcriptome analysis reveals stem cell-like subsets in the progression of Waldenström’s macroglobulinemia
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Additional file 4 of Single-cell transcriptome analysis reveals stem cell-like subsets in the progression of Waldenström’s macroglobulinemia
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Additional file 6 of Single-cell transcriptome analysis reveals stem cell-like subsets in the progression of Waldenström’s macroglobulinemia
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Additional file 5 of Single-cell transcriptome analysis reveals stem cell-like subsets in the progression of Waldenström’s macroglobulinemia
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Additional file 7 of Single-cell transcriptome analysis reveals stem cell-like subsets in the progression of Waldenström’s macroglobulinemia
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Authors: Morton, L. M., Turner, J. J., Cerhan, J. R., Linet, M. S., Treseler, P. A., Clarke, C. A., Jack, A., Cozen, W., Maynadié, M., Spinelli, J. J., Costantini, A. S., Rüdiger, T., Scarpa, A., Zheng, T., & Weisenburger, D. D.
Affiliations: National Institutes of Health (US)
St Vincent's Hospital Sydney (AU)
Mayo Clinic (US)
University of California, San Francisco (US)
Cancer Prevention Institute of California (US)
National Health Service (GB)
University of Southern California (US)
CHU Dijon Bourgogne (FR)
BC Cancer Agency (CA)
Occupational and Environmental Epidemiology Unit, Center for Study and Prevention of Cancer, Scientific Institute of Tuscany, Florence, Italy;
University of Würzburg (DE)
University of Verona (IT)
Yale University (US)
University of Nebraska Medical Center (US)
ORCID: Morton, Lindsay M.
Turner, Jennifer J.
Cerhan, James R.
Linet, Martha S.
Clarke, Christina A.
Jack, Andrew
Cozen, Wendy
Maynadié, Marc
Costantini, Adele Seniori
Rüdiger, Thomas
Scarpa, Aldo
Weisenburger, Dennis D.
Venue: Blood
Publisher: American Society of Hematology
Published: 2007-07-15
Volume: 110
Issue: 2
Pages: 695-708
ISSN: 0006-4971 (ISSN-L)
1528-0020
DOI: 10.1182/blood-2006-11-051672
PMC: PMC1924473
OpenAlex: W2061918976
Cited by: 387
References: 58
Citations by year: 2026: 4 · 2025: 6 · 2024: 8 · 2023: 17 · 2022: 14 · 2021: 16 · 2020: 14 · 2019: 14 · 2018: 14 · 2017: 15 · 2016: 23 · 2015: 30 · 2014: 45 · 2013: 28 · 2012: 34
FWCI: 20.35
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Blood (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health
National Cancer Institute (P50CA97274, R01CA092153, R01CA062006, N01-CN-35136, CA 62006-05, R01CA92153, P50CA097274)
Topics: Health Sciences › Medicine › Pathology and Forensic Medicine › Lymphoma Diagnosis and Treatment
Health Sciences › Medicine › Oncology › Viral-associated cancers and disorders
Health Sciences › Medicine › Hematology › Chronic Lymphocytic Leukemia Research
Keywords: lymphoid malignancies, lymphoma subtypes, classification standardization, lymphoid leukemia, ICD-O-3, WHO classification of lymphoid neoplasms, REAL classification, Working Formulation, lymphoma etiology
MeSH terms: Europe, Hodgkin Disease, Humans, Lymphoma, Lymphoma, Non-Hodgkin, North America, Reproducibility of Results

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Proposed classification of lymphoid neoplasms for epidemiologic research from the Pathology Working Group of the International Lymphoma Epidemiology Consortium (InterLymph)

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