Biomarkers for Risk Stratification in Patients With Previously Untreated Follicular Lymphoma Receiving Anti-CD20-based Biological Therapy.
Adult
Aged
Aged, 80 and over
Antigens, CD20
/ analysis
Antineoplastic Agents, Immunological
/ adverse effects
Biomarkers, Tumor
/ analysis
Clinical Trials as Topic
Disease Progression
Female
Humans
Immunohistochemistry
Ki-67 Antigen
/ analysis
Lymphoma, Follicular
/ drug therapy
Male
Middle Aged
Neoplasm Staging
Neprilysin
/ analysis
Prospective Studies
Proto-Oncogene Proteins c-bcl-6
/ analysis
Recurrence
Risk Assessment
Risk Factors
Rituximab
/ adverse effects
Time Factors
Treatment Outcome
Tumor Microenvironment
United States
Young Adult
Journal
The American journal of surgical pathology
ISSN: 1532-0979
Titre abrégé: Am J Surg Pathol
Pays: United States
ID NLM: 7707904
Informations de publication
Date de publication:
01 03 2021
01 03 2021
Historique:
pubmed:
3
11
2020
medline:
31
3
2021
entrez:
2
11
2020
Statut:
ppublish
Résumé
Follicular lymphoma (FL) is an indolent B-cell neoplasm of germinal center origin. Standard treatment regimens consist of anti-CD20 therapy with or without chemotherapy. While high response rates to initial therapy are common, patients ultimately relapse or have progressive disease. Clinical risk factors such as the Follicular Lymphoma International Prognostic Index (FLIPI) have been identified, but there is a need for prognostic and predictive biomarkers. We studied markers of lymphoma cells and tumor microenvironment by immunohistochemistry in tissue samples from patients enrolled in 1 of 4 phase 2 trials of anti-CD20-based biological therapy for previously untreated grades 1 to 2 or 3A FL. Results were correlated with progression-free survival (PFS) and PFS status at 24 months. The 4 trials included 238 patients (51.1% male, median age: 55 y) with stage III, IV, or bulky stage II disease. By FLIPI, 24.6% had low-risk, 56.8% had intermediate-risk, and 18.6% had high-risk disease. The outcome differed significantly for patients treated with lenalidomide and rituximab (CALGB 50803) compared with the other 3 trials (median: PFS not reached vs. 3.0 y, hazard ratio=3.47, 95% confidence interval: 2.11-5.72); therefore, data were stratified by clinical trial (CALGB 50803 vs. all others) and adjusted for FLIPI risk group. Among 154 patients with available tissue, interfollicular BCL6 positivity, interfollicular CD10 positivity, and elevated Ki67 proliferation index ≥30% within neoplastic follicles were each associated with inferior PFS and a high risk of the early event by PFS status at 24 months. We identify promising biomarkers for FL risk stratification that warrant further validation in phase 3 trials.
Identifiants
pubmed: 33136585
pii: 00000478-202103000-00010
doi: 10.1097/PAS.0000000000001609
pmc: PMC7878306
mid: NIHMS1634958
doi:
Substances chimiques
Antigens, CD20
0
Antineoplastic Agents, Immunological
0
BCL6 protein, human
0
Biomarkers, Tumor
0
Ki-67 Antigen
0
MKI67 protein, human
0
Proto-Oncogene Proteins c-bcl-6
0
Rituximab
4F4X42SYQ6
Neprilysin
EC 3.4.24.11
Types de publication
Journal Article
Multicenter Study
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
384-393Subventions
Organisme : NCI NIH HHS
ID : UG1 CA233329
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180821
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233180
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233191
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180882
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA196171
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233339
Pays : United States
Informations de copyright
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of Interest and Source of Funding: Supported by the National Cancer Institute of the National Institutes of Health under Award Numbers U10CA180821, U10CA180882, and U24CA196171 (to the Alliance for Clinical Trials in Oncology), UG1CA233180, UG1CA233329, and UG1CA233339 (https://acknowledgments.alliancefound.org). Also supported in part by funds from Celgene (CALGB 50803) and GlaxoSmithKline (CALGB 50901). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. A.R.S. served in expert consultancy at Seeger Salvas & Devine LLP, Levin Papantonio PA, Arnold & Itkin LLP. M.J.M. served in consultancy and advisory boards in Pfizer, MorphoSys, Kite; received research funding from Celgene/BMS, Nanostring. M.S.C. was an employee at Celgene; served in consultancy at MorphoSys; in advisory boards at Immunogen, Boehringer-Ingelheim. P.M. served in consultancy at Bayer, Beigene, Celgene, Cellectar, Janssen, Karyopharm, Kite, MorphoSys, Regeneron, Teneobio; Research Funding (institutional): Karyopharm. J.P.L. served in consultancy at Sutro, Miltenyi, AstraZeneca, Epizyme, Roche/Genentech, BMS/Celgene, Regeneron, ADC Therapeutics, MEI Pharma, Bayer, Gilead/Kite. B.D.C. served in consultancy at BMS, Pharmacyclics, AstraZeneca, Symbios, MorphoSys, Abbvie; received research funding (to former institution) from Roche/Genentech, Celgene, Kite, Pharmacyclics, AstraZeneca, Trillium, Abbvie, TG Therapeutics. E.D.H. received research funding from Abbvie, Eli Lilly and Co.; serves in advisory board at Seattle Genetics, Miletnyi. For the remaining authors none were declared.
Références
Ferry JA, de Leval L, Louissaint A, et alJaffe ES, Arber DA, Campo E, Harris NL, Quintanilla-Martinez L. Follicular lymphoma. Hematopathology, 2nd ed. Philadelphia, PA: Elsevier; 2017:321–352.
Morschhauser F, Fowler NH, Feugier P, et al. Rituximab plus lenalidomide in advanced untreated follicular lymphoma. N Engl J Med. 2018;379:934–947.
Solal-Celigny P, Roy P, Colombat P, et al. Follicular lymphoma international prognostic index. Blood. 2004;104:1258–1265.
Federico M, Bellei M, Marcheselli L, et al. Follicular lymphoma international prognostic index 2: a new prognostic index for follicular lymphoma developed by the international follicular lymphoma prognostic factor project. J Clin Oncol. 2009;27:4555–4562.
Pastore A, Jurinovic V, Kridel R, et al. Integration of gene mutations in risk prognostication for patients receiving first-line immunochemotherapy for follicular lymphoma: a retrospective analysis of a prospective clinical trial and validation in a population-based registry. Lancet Oncol. 2015;16:1111–1122.
Becnel MR, Nastoupil LJ. Follicular lymphoma: past, present, and future. Curr Treat Options Oncol. 2018;19:32.
Mottok A, Jurinovic V, Farinha P, et al. FOXP1 expression is a prognostic biomarker in follicular lymphoma treated with rituximab and chemotherapy. Blood. 2018;131:226–235.
Sweetenham JW, Goldman B, LeBlanc ML, et al. Prognostic value of regulatory T cells, lymphoma-associated macrophages, and MUM-1 expression in follicular lymphoma treated before and after the introduction of monoclonal antibody therapy: a Southwest Oncology Group Study. Ann Oncol. 2010;21:1196–1202.
Xerri L, Bachy E, Fabiani B, et al. Identification of MUM1 as a prognostic immunohistochemical marker in follicular lymphoma using computerized image analysis. Hum Pathol. 2014;45:2085–2093.
Wang SA, Wang L, Hochberg EP, et al. Low histologic grade follicular lymphoma with high proliferation index: morphologic and clinical features. Am J Surg Pathol. 2005;29:1490–1496.
Dogan A, Bagdi E, Munson P, et al. CD10 and BCL-6 expression in paraffin sections of normal lymphoid tissue and B-cell lymphomas. Am J Surg Pathol. 2000;24:846–852.
Bilalovic N, Blystad AK, Golouh R, et al. Expression of bcl-6 and CD10 protein is associated with longer overall survival and time to treatment failure in follicular lymphoma. Am J Clin Pathol. 2004;121:34–42.
Eshoa C, Perkins S, Kampalath B, et al. Decreased CD10 expression in grade III and in interfollicular infiltrates of follicular lymphomas. Am J Clin Pathol. 2001;115:862–867.
Farinha P, Masoudi H, Skinnider BF, et al. Analysis of multiple biomarkers shows that lymphoma-associated macrophage (LAM) content is an independent predictor of survival in follicular lymphoma (FL). Blood. 2005;106:2169–2174.
Richendollar BG, Pohlman B, Elson P, et al. Follicular programmed death 1-positive lymphocytes in the tumor microenvironment are an independent prognostic factor in follicular lymphoma. Hum Pathol. 2011;42:552–557.
Kelley T, Beck R, Absi A, et al. Biologic predictors in follicular lymphoma: importance of markers of immune response. Leuk Lymphoma. 2007;48:2403–2411.
Canioni D, Salles G, Mounier N, et al. High numbers of tumor-associated macrophages have an adverse prognostic value that can be circumvented by rituximab in patients with follicular lymphoma enrolled onto the GELA-GOELAMS FL-2000 trial. J Clin Oncol. 2008;26:440–446.
Taskinen M, Karjalainen-Lindsberg ML, Nyman H, et al. A high tumor-associated macrophage content predicts favorable outcome in follicular lymphoma patients treated with rituximab and cyclophosphamide-doxorubicin-vincristine-prednisone. Clin Cancer Res. 2007;13:5784–5789.
Laurent C, Muller S, Do C, et al. Distribution, function, and prognostic value of cytotoxic T lymphocytes in follicular lymphoma: a 3-D tissue-imaging study. Blood. 2011;118:5371–5379.
Carreras J, Lopez-Guillermo A, Roncador G, et al. High numbers of tumor-infiltrating programmed cell death 1-positive regulatory lymphocytes are associated with improved overall survival in follicular lymphoma. J Clin Oncol. 2009;27:1470–1476.
Lee AM, Clear AJ, Calaminici M, et al. Number of CD4+ cells and location of forkhead box protein P3-positive cells in diagnostic follicular lymphoma tissue microarrays correlates with outcome. J Clin Oncol. 2006;24:5052–5059.
Czuczman MS, Leonard JP, Jung S, et al. Phase II trial of galiximab (anti-CD80 monoclonal antibody) plus rituximab (CALGB 50402): Follicular Lymphoma International Prognostic Index (FLIPI) score is predictive of upfront immunotherapy responsiveness. Ann Oncol. 2012;23:2356–2362.
Grant BW, Jung SH, Johnson JL, et al. A phase 2 trial of extended induction epratuzumab and rituximab for previously untreated follicular lymphoma: CALGB 50701. Cancer. 2013;119:3797–3804.
Martin P, Jung SH, Pitcher B, et al. A phase II trial of lenalidomide plus rituximab in previously untreated follicular non-Hodgkin’s lymphoma (NHL): CALGB 50803 (Alliance). Ann Oncol. 2017;28:2806–2812.
Rosenbaum CA, Jung SH, Pitcher B, et al. Phase 2 multicentre study of single-agent ofatumumab in previously untreated follicular lymphoma: CALGB 50901 (Alliance). Br J Haematol. 2019;185:53–64.
Hedvat CV, Hegde A, Chaganti RS, et al. Application of tissue microarray technology to the study of non-Hodgkin’s and Hodgkin’s lymphoma. Hum Pathol. 2002;33:968–974.
McCarthy A, Marzec J, Clear A, et al. Dysregulation of autophagy in human follicular lymphoma is independent of overexpression of BCL-2. Oncotarget. 2014;5:11653–11668.
Nelson LS, Mansfield JR, Lloyd R, et al. Automated prognostic pattern detection shows favourable diffuse pattern of FOXP3(+) Tregs in follicular lymphoma. Br J Cancer. 2015;113:1197–1205.
Lansigan F, Barak I, Pitcher B, et al. The prognostic significance of PFS24 in follicular lymphoma following firstline immunotherapy: A combined analysis of 3 CALGB trials. Cancer Med. 2019;8:165–173.
Therneau TM, Lumley T. A package for survival analysis in S. version 2.382015. The Comprehensive R Archive Network; 2015. Available at: https://cran.r-project.org/web/packages/survival/vignettes/adjcurve.pdf . Accessed January 8, 2020.
Therneau TM, Grambsch PM. Modeling Survival Data: Extending the Cox Model. New York, NY: Springer; 2000.
Samols MA, Smith NE, Gerber JM, et al. Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas. Am J Clin Pathol. 2013;140:579–587.
Jaffe ES, Harris NL, Swerdlow SH, et alSwerdlow SH, Campo E, Harris NL, Jaffe ES, Pileri SA, Stein H. Follicular lymphoma. WHO Classification of Tumours of the Haematopoietic and Lymphoid Tissues Revised, 4th ed. Lyon, France: IARC Press; 2017:266–277.
Wagner SD, Ahearne M, Ferrigno PK. The role of BCL6 in lymphomas and routes to therapy. Br J Haematol. 2011;152:3–12.
Green MR. Chromatin modifying gene mutations in follicular lymphoma. Blood. 2018;131:595–604.
Muenst S, Hoeller S, Willi N, et al. Diagnostic and prognostic utility of PD-1 in B cell lymphomas. Dis Markers. 2010;29:47–53.
Ruano A, Bodo J, Hsi ED. editors. Impact of Follicular PD-1 and Interfollicular CD10 Expression in Follicular Lymphoma (Abstract). Basel, Switzerland: 18th Meeting of the European Association of Haematopathology; 2016.
Merryman RW, Armand P, Wright KT, et al. Checkpoint blockade in Hodgkin and non-Hodgkin lymphoma. Blood Adv. 2017;1:2643–2654.
Sutamtewagul G, Link BK. Novel treatment approaches and future perspectives in follicular lymphoma. Ther Adv Hematol. 2019;10:2040620718820510.
Advani R, Flinn I, Popplewell L, et al. CD47 blockade by Hu5F9-G4 and rituximab in non-Hodgkin’s lymphoma. N Engl J Med. 2018;379:1711–1721.