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Multicenter Study
. 2019 Dec 1;37(34):3300-3309.
doi: 10.1200/JCO.18.02365. Epub 2019 Aug 28.

Progression of Disease Within 24 Months in Follicular Lymphoma Is Associated With Reduced Intratumoral Immune Infiltration

Affiliations
Multicenter Study

Progression of Disease Within 24 Months in Follicular Lymphoma Is Associated With Reduced Intratumoral Immune Infiltration

Joshua W D Tobin et al. J Clin Oncol. .

Abstract

Purpose: Understanding the immunobiology of the 15% to 30% of patients with follicular lymphoma (FL) who experience progression of disease within 24 months (POD24) remains a priority. Solid tumors with low levels of intratumoral immune infiltration have inferior outcomes. It is unknown whether a similar relationship exists between POD24 in FL.

Patients and methods: Digital gene expression using a custom code set-five immune effector, six immune checkpoint, one macrophage molecules-was applied to a discovery cohort of patients with early- and advanced-stage FL (n = 132). T-cell receptor repertoire analysis, flow cytometry, multispectral immunofluorescence, and next-generation sequencing were performed. The immune infiltration profile was validated in two independent cohorts of patients with advanced-stage FL requiring systemic treatment (n = 138, rituximab plus cyclophosphamide, vincristine, prednisone; n = 45, rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone), with the latter selected to permit comparison of patients experiencing a POD24 event with those having no progression at 5 years or more.

Results: Immune molecules showed distinct clustering, characterized by either high or low expression regardless of categorization as an immune effector, immune checkpoint, or macrophage molecule. Low programmed death-ligand 2 (PD-L2) was the most sensitive/specific marker to segregate patients with adverse outcomes; therefore, PD-L2 expression was chosen to distinguish immune infiltrationHI (ie, high PD-L2) FL biopsies from immune infiltrationLO (ie, low PD-L2) tumors. Immune infiltrationHI tissues were highly infiltrated with macrophages and expanded populations of T-cell clones. Of note, the immune infiltrationLO subset of patients with FL was enriched for POD24 events (odds ratio [OR], 4.32; c-statistic, 0.81; P = .001), validated in the independent cohorts (rituximab plus cyclophosphamide, vincristine, prednisone: OR, 2.95; c-statistic, 0.75; P = .011; and rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone: OR, 7.09; c-statistic, 0.88; P = .011). Mutations were equally proportioned across tissues, which indicated that degree of immune infiltration is capturing aspects of FL biology distinct from its mutational profile.

Conclusion: Assessment of immune-infiltration by PD-L2 expression is a promising tool with which to help identify patients who are at risk for POD24.

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Figures

FIG 1.
FIG 1.
Unsupervised hierarchical clustering identifies immune infiltrationHI and immune infiltrationLO follicular lymphoma (FL) tissues. Immune effector, immune checkpoint, and macrophage gene expression in the FL tissue discovery cohort (n = 132) was digitally quantified by NanoString. Green denotes low and red indicates high gene expression. Genes were categorized as follows: immune effector (CD137, CD4, CD7, CD8A, TNFα); immune checkpoint (PD-1, PD-L1, PD-L2, TIM3, LAG3, FOXP3); and macrophage (CD68) molecules. POD, progression of disease; POD24, progression of disease within 24 months.
FIG 2.
FIG 2.
Immune infiltrationHI and immune infiltrationLO follicular lymphoma (FL) tissues show distinct gene and protein expression patterns. (A) Fluorescence-activated cell sorting was used to sort cells from deaggregated FL tissues and PD-L2 was quantified by quantitative polymerase chain reaction, normalized to GAPDH and adjusted for the relative proportion of CD20+ to non-CD20+ cells. Histogram with mean and 95% CIs are shown. The effect size (ie, the measure of the magnitude of the increase in PD-L2 in non-B cells), as conveyed by the median of differences for the samples, is 0.007122. (B) Dichotomizing FL samples as immune infiltrationHI or immune infiltrationLO on the basis of PD-L2 gene expression showed significantly higher gene expression of multiple immune molecules (effector, checkpoint, and macrophages). (C) Stratification of FL tissues by the top and bottom quartiles of PD-L2 expression highlighted the clustering of immune genes. (D) PD-L2 is used to stratify between immune infiltrationHI and immune infiltrationLO tissues in which flow cytometry was performed at diagnosis on fresh deaggregated FL tissues. HK, housekeeping genes; ns, not significant. (*) P = .05 to .01; (†) P = .001 to .0001; (‡) P < .0001.
FIG 3.
FIG 3.
(A) Immune-infiltrationHI tumors demonstrate a higher productive clonality of the TCR repertoire in the FL tumor microenvironment. Clonality describes the degree to which one or a few clones dominate the repertoire. (B) Quantitative MIF staining demonstrates increased protein expression of key immune-effectors (CD8) and immune-checkpoints (PD-L1) in immune-infiltrationHI tumors. (C) Quantitative multispectral immunofluorescence (MIF) staining demonstrates increased protein expression of key immune effectors (CD8), immune checkpoints (PD-L1), and macrophages (CD68) in immune infiltrationHI tumors. MIF images demonstrating increased immune infiltrate and intensity of immune effectors, checkpoints, and macrophage molecules in immune infiltrationHI tumors. (D) Quantitatively, PD-L1 expression is upregulated on macrophages in immune infiltrationHI tumors.
FIG 4.
FIG 4.
Low immune infiltration cases are enriched in progression of disease within 24 months (POD24) events. The proportion of POD24 events occurring in the (A) Princess Alexandra Hospital (PAH) discovery cohort (B) patients in the PAH discovery cohort with active treatment, advanced stage (C) British Columbia Cancer Agency (BCCA) validation cohort and (D) German Low Grade Lymphoma Study Group 2000 (GLSG2000) validation cohort were stratified by the degree of immune infiltration. OR, odds ratio.
FIG 5.
FIG 5.
Distribution of gene mutations in immune infiltrationHI and immune infiltrationLO follicular lymphoma lymph nodes. Relative frequency of FL relevant mutations stratified by immune infiltrationHI and immune infiltrationLO gene expression. No significant differences were seen for any mutation.

Comment in

References

    1. Morton LM, Wang SS, Devesa SS, et al. Lymphoma incidence patterns by WHO subtype in the United States, 1992-2001. Blood. 2006;107:265–276. - PMC - PubMed
    1. Gandhi MK, Marcus RE. Follicular lymphoma: Time for a re-think? Blood Rev. 2005;19:165–178. - PubMed
    1. Tan D, Horning SJ, Hoppe RT, et al. Improvements in observed and relative survival in follicular grade 1-2 lymphoma during 4 decades: The Stanford University experience. Blood. 2013;122:981–987. - PMC - PubMed
    1. Solal-Céligny P, Roy P, Colombat P, et al. Follicular lymphoma international prognostic index. Blood. 2004;104:1258–1265. - PubMed
    1. Shi Q, Flowers CR, Hiddemann W, et al. Thirty-month complete response as a surrogate end point in first-line follicular lymphoma therapy: An individual patient-level analysis of multiple randomized trials. J Clin Oncol. 2017;35:552–560. - PubMed

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