Classical Lymphoma Research Articles

The path towards consensus genome classification of diffuse large B-cell lymphoma for use in clinical practice.

Diffuse large B-cell lymphoma (DLBCL) is a widely heterogeneous disease in presentation, treatment response and outcome that results from a broad biological heterogeneity. Various stratification approaches have been proposed over time but failed to sufficiently capture the heterogeneous biology and behavior of the disease in a clinically relevant manner. The most recent DNA-based genomic subtyping studies are a major step forward by offering a level of refinement that could serve as a basis for exploration of personalized and targeted treatment for the years to come. To enable consistent trial designs and allow meaningful comparisons between studies, harmonization of the currently available knowledge into a single genomic classification widely applicable in daily practice is pivotal. In this review, we investigate potential avenues for harmonization of the presently available genomic subtypes of DLBCL inspired by consensus molecular classifications achieved for other malignancies. Finally, suggestions for laboratory techniques and infrastructure required for successful clinical implementation are described.

Classification and diagnostic evaluation of nodal T- and NK-cell lymphomas.

Nodal T- and NK-cell lymphomas are among the most frequent T-cell malignancies and most subtypes have aggressive clinical behavior. Evolving understanding of the biology and molecular characteristics of these lymphomas, as well as the development of new precision therapy approaches, underscores the importance of ongoing updates to the classification and diagnostic evaluation of this group of malignancies. Here, we discuss the classification of nodal T- and NK-cell lymphomas based on the 2022 International Consensus Classification of Mature Lymphoid Neoplasms (2022 ICC). Lymphomas of T-follicular helper cell origin are now grouped into a single entity, follicular helper T-cell lymphoma (TFH lymphoma), with three subtypes (angioimmunoblastic-type, follicular-type, and not otherwise specified), reflecting their common cellular origin and shared molecular and clinical characteristics. Classification of anaplastic large cell lymphoma (ALCL) remains essentially unchanged; DUSP22-rearranged cases are now considered a genetic subtype of ALK-negative ALCL. Primary nodal EBV-positive T-/NK-cell lymphoma is introduced as a new provisional entity; these cases were previously considered a variant of peripheral T-cell lymphoma, not otherwise specified (PTCL, NOS). PTCL, NOS remains a diagnosis of exclusion, with evolving molecular data indicating the presence of distinct subgroups, including PTCL-TBX21, PTCL-GATA3, and EBV-negative cytotoxic PTCLs. We also discuss diagnostic strategies to facilitate the 2022 ICC classification among nodal T- and NK-cell lymphomas and the distinction from nodal involvement by extranodal neoplasms.

Genetic and phenotypic characterisation of HIV-associated aggressive B-cell non-Hodgkin lymphomas, which do not occur specifically in this population: diagnostic and prognostic implications.

The frequency of aggressive subtypes of B-cell non-Hodgkin lymphoma (B-NHL), such as high-grade B-cell lymphomas (HGBL) with MYC and BCL2 and/or BCL6 rearrangement (HGBL-DH/TH) or Burkitt-like lymphoma (BL) with 11q aberration, is not well known in the HIV setting. We aimed to characterise HIV-associated aggressive B-NHL according to the 2017 WHO criteria, and to identify genotypic and phenotypic features with prognostic impact. Seventy-five HIV-associated aggressive B-NHL were studied by immunohistochemistry (CD10, BCL2, BCL6, MUM1, MYC, and CD30), EBV-encoded RNAs (EBERs), and fluorescence in situ hybridisation (FISH) to evaluate the status of the MYC, BCL2, and BCL6 genes and chromosome 11q. The 2017 WHO classification criteria and the Hans algorithm, for the cell-of-origin classification of diffuse large B-cell lymphomas (DLBCL), were applied. In DLBCL cases, the frequencies of MYC and BCL6 rearrangements (14.9 and 27.7%, respectively) were similar to those described in HIV-negative patients, but BCL2 rearrangements were infrequent (4.3%). MYC expression was identified in 23.4% of DLBCL cases, and coexpression of MYC and BCL2 in 13.0%, which was associated with a worse prognosis. As for BL cases, the expression of MUM1 (30.4%) conferred a worse prognosis. Finally, the prevalence of HGBL-DH/TH and BL-like with 11q aberration are reported in the HIV setting. The phenotypic and genotypic characteristics of HIV-associated aggressive B-NHL are similar to those of the general population, except for the low frequency of BCL2 rearrangements in DLBCL. MYC and BCL2 coexpression in DLBCL, and MUM-1 expression in BL, have a negative prognostic impact on HIV-infected individuals.

Association between germline pathogenic variants in cancer-predisposing genes and lymphoma risk.

The application of advanced molecular technology has significantly expanded lymphoma classification, allowing risk stratification and treatment optimization. Limited evidence suggests the presence of a genetic predisposition in lymphoma, indicating the potential for better individualized clinical management based on a novel lymphoma classification. Herein, we examined the impact of germline pathogenic variants in 27 cancer-predisposing genes with lymphoma risk and explored the clinical characteristics of pathogenic variant carriers. This study included 2,066 lymphoma patients and 38,153 cancer-free controls from the Japanese population. Following quality control of sequencing data, samples from 1,982 lymphoma patients and 37,592 controls were further analyzed. We identified 309 pathogenic variants among 4,850 variants in the 27 cancer-predisposing genes. Pathogenic variants in the following four cancer-predisposing genes were associated with a high risk of lymphoma: ATM (odds ratio [OR], 2.63; 95% confidence interval [CI], 1.25-5.51; p= 1.06 × 10-2 ), BRCA1 (OR, 5.88; 95% CI, 2.65-13.02; p= 1.27 × 10-5 ), BRCA2 (OR, 2.94; 95% CI, 1.60-5.42; p= 5.25 × 10-4 ), and TP53 (OR, 5.22; 95% CI, 1.43-19.02; p= 1.23 × 10-2 ). The proportion of carriers of these genes was 1.6% of lymphoma patients. Furthermore, pathogenic variants in these genes were especially associated with a higher risk of mantle cell lymphoma (OR, 21.57; 95% CI, 7.59-61.26; p= 8.07 × 10-9 ). These results provide novel insights concerning monogenic form into lymphoma classification. Some lymphoma patients may benefit from surveillance and targeted treatment, such as other neoplasms.

The Clinical Impact of Precisely Defining Mantle Cell Lymphoma: Contributions of Elaine Jaffe

Mantle cell lymphoma (MCL) is an aggressive yet incurable B-cell lymphoma that was only first recognized as a distinct subtype in 1992, with early reports suggesting a poor median survival. Elaine Jaffe is a renowned hematopathologist and scientist from the National Cancer Institute who was instrumental in many of the early descriptions of MCL that distinguished it from other B-cell lymphomas. Further, she has led multiple international collaborations that have harmonized the lymphoma classification systems that are currently in use today. The early morphologic descriptions of MCL along with the contributions of immunologic and genetic techniques have confirmed MCL as a distinct entity with unique biology and clinical behavior. Importantly, these scientific discoveries laid the foundation for unprecedented therapeutic breakthroughs that have led to significant improvements in overall survival.

F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in a Case of Subcutaneous T-cell Lymphoma Presenting as Breast Mass and Panniculitis-Like Features: A Rare Entity.

Subcutaneous panniculitis-like T-cell lymphoma (SPTCL) is an unusual subtype of cutaneous lymphoma and clinically appears as erythematous, subcutaneous infiltrates, and recurrent papulonodules. It is defined as a rare cytotoxic a/b T-cell lymphoma characterized by primary involvement of subcutaneous tissue-mimicking panniculitis and a predominant CD3+/CD4/CD8+ phenotype in (2005) the World Health Organization-European Organization for Research and Treatment of Cancer classification for cutaneous lymphomas. On metabolic imaging, these lesions are invariably fluorodeoxyglucose (FDG) avid. SPTCL which presents as a breast mass is a rare entity. Here, we present a case of SPTCL presents as FDG avid breast mass and subcutaneous nodules.

Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification.

The Apparent Diffusion Coefficient (ADC) is considered an importantimaging biomarker contributing to the assessment of tissue microstructure and pathophy- siology. It is calculated from Diffusion-Weighted Magnetic Resonance Imaging (DWI) by means of a diffusion model, usually without considering any motion during image acquisition. We propose a method to improve the computation of the ADC by coping jointly with both motion artifacts in whole-body DWI (through group-wise registration) and possible instrumental noise in the diffusion model. The proposed deformable registration method yielded on average the lowest ADC reconstruction error on data with simulated motion and diffusion. Moreover, our approach was applied on whole-body diffusion weighted images obtained with five different b-values from a cohort of 38 patients with histologically confirmed lymphomas of three different types (Hodgkin, diffuse large B-cell lymphoma and follicular lymphoma). Evaluation on the real data showed that ADC-based features, extracted using our joint optimization approach classified lymphomas with an accuracy of approximately 78.6% (yielding a 11% increase in respect to the standard features extracted from unregistered diffusion-weighted images). Furthermore, the correlation between diffusion characteristics and histopathological findings was higher than any other previous approach of ADC computation.

CD30 + Primary intestinal T-cell lymphoma (unclassified) masquerading as chronic inflammation: a case report

BackgroundPrimary intestinal T-cell lymphomas are uncommon malignancies that pose a diagnostic dilemma, because the clinical features and imaging findings commonly overlap with those encountered in inflammatory bowel diseases.Case presentationThe current clinical case report describes the clinical history, laboratory findings and histopathological analysis from a patient with non-specific gastrointestinal symptoms with a presumptive clinical diagnosis of inflammatory bowel disease, and two intestinal biopsy specimens with non-specific findings. Due to the persistent symptoms a third biopsy was consistent with primary intestinal T-cell lymphoma, a diagnosis that was elusive for months after the initial presentation. Clinical correlation with laboratory and histopathological findings is required to establish a definitive diagnosis and to further stratify the patients. In addition, the neoplastic cells featured partial expression of CD30, which had relevant therapeutic implications.ConclusionsSuspicion for an intestinal T-cell lymphoproliferative disorder should always exist in patients with persistent abdominal symptoms with no clear etiology. The current discussion provides a summary and review of the key diagnostic histological features for the classification of primary intestinal T-cell lymphomas. In addition, the discussion describes how specific the histological findings are relevant for the clinical management decisions.

Clinical procedures for intraocular lymphomas

The classification of intraocular lymphomas is based on their anatomical location. They are divided into uveal lymphomas with involvement of the choroid, ciliary body or iris and vitreoretinal lymphomas with isolated or combined involvement of the vitreous body and/or retina. Over the last decades it has become increasingly possible to work out the clinical and pathobiological features of the various subtypes, thereby reducing the diagnostic hurdles and creating improved treatment options. A summary of the various types of intraocular lymphoma in terms of clinical features, diagnostics, treatment and prognosis is given as well as recommendations for follow-up care. A selective literature search was carried out on the subject of intraocular lymphomas using PubMed and Google Scholar. Intraocular lymphomas affect different structures, so that the symptoms can also be very different. The diagnostic spectrum ranges from typical ocular examination methods to sample biopsies with subsequent cytological, histological and molecular pathological processing. The treatment pillars available are percutaneous irradiation and intravitreal drug administration as local treatment and systemic treatment or acombination of systemic and local treatment. The prognosis depends mainly on the subtype of the lymphoma and the extent of the infestation when the diagnosis is confirmed. Even though some effective treatment options are now available, it has not yet been possible to significantly reduce the mortality rate. Many different options are available for the diagnostics and treatment of intraocular lymphomas, which require close interdisciplinary cooperation. The further developments in the field of molecular pathology allow afaster and more accurate diagnosis and could open up new treatment options in the future.

Radiomic-Based MRI for Classification of Solitary Brain Metastases Subtypes From Primary Lymphoma of the Central Nervous System.

Differential diagnosis of brain metastases subtype and primary central nervous system lymphoma (PCNSL) is necessary for treatment decisions. The application of machine learning facilitates the classification of brain tumors, but prior investigations into primary lymphoma and brain metastases subtype classification have been limited. To develop a machine-learning model to classify PCNSL, brain metastases with primary lung and non-lung origin. Retrospective. A total of 211 subjects with pathologically confirmed PCNSL or brain metastases (training cohort 168 and testing cohort 43). A 3.0 T axial contrast-enhanced T1-weighted spin-echo inversion recovery sequence (T1WI-CE), axial T2-weighted fluid-attenuation inversion recovery sequence (T2FLAIR) ASSESSMENT: Several machine-learning models (support vector machine, random forest, and K-nearest neighbors) were built with least absolute shrinkage and selection operator (LASSO) using features from T1WI-CE, T2FLAIR, and clinical. The model with the highest performance in the training cohort was selected to differentiate lesions in the testing cohort. Then, three radiologists conducted a two-round classification (with and without model reference) using images and clinical information from testing cohorts. Five-fold cross-validation was used for model evaluation and calibration. Model performance was assessed based on sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC). Twenty-five image features were selected by LASSO analysis. Random forest classifier was selected for its highest performance on the training set with an AUC of 0.73. After calibration, this model achieved an accuracy of 0.70 on the testing set. Accuracies of all three radiologists improved under model reference (0.49 vs. 0.70, 0.60 vs. 0.77, 0.58 vs. 0.72, respectively). The random forest model based on conventional MRI and clinical data can diagnose PCNSL and brain metastases subtypes (lung and non-lung origin). Model classification can help foster the diagnostic accuracy of specialists and streamline prognostication workflow. 4 TECHNICAL EFFICACY: Stage 2.

Non-invasive detection of lymphoma with circulating tumor DNA features and plasma protein marker.

e19574 Background: Lymphoma is common cancer worldwide, a large group of lymphoid hematopoietic malignancies including Non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL) two major type. Lymphoma includes more than 30 unique subtypes, originating from B, T and NK cells. Currently, diagnosis and classification of lymphoma is based on excisional lymph node biopsy through immunohistochemistry and in situ hybridization. However, invasive biopsies have significant limitations and carry procedural risks to patients, and it cannot account for spatial inter- and intra-tumor heterogeneity due to sampling from only one location in a single tumor lesion. In the past few years, an emerging class of methods named Liquid biopsy can potentially improve on these limitations. Methods: 135 untreated stage I-IV lymphoma patients and 399 healthy individuals were enrolled in this study. 8ml peripheral blood was collected from each participant after enrollment. Cell-free DNA (cfDNA) was extracted and subjected to shallow whole-genome sequencing (sWGS), and partly plasma was used to quantify the expression of 7 tumor serum protein markers. We developed a newly blood-based assay, which integrated the newly next-generation technology of sWGS of cfDNA and protein marker (CA125), with artificial intelligence (AI) technology. Though our multi-dimensional assay, the cancer risk score (CRS) of each sample were calculated, and was used for lymphoma early diagnosis. Results: After compared each protein marker between lymphoma and healthy groups, only CA125 could be used to screen the lymphoma with a sensitivity of 25.9% at extremely high specificity 98.0% and an area under the curve (AUC) of 69.5%. As for the genomic feature of cfDNA, the characteristics of copy number aberrations (CNA) and fragment size (FS) were significantly different between lymphoma and healthy groups (p value < 0.0001 by student’s t-test). Both FS and CNA demonstrated improved sensitivity (36.3% and 67.4% respectively) compared to CA125. When the three signatures were incorporated into the CRS model, it achieved the best performance allowing 95 lymphoma cases to be identified with a sensitivity of 70.4% at 98.0% specificity, and an AUC of 88.0%. In stage I/II and III/IV lymphoma cases, the sensitivity was 40.0% and 85.7% respectively. For each lymphoma subtype, the lymphoma which from B-cell had higher sensitivity than that from NK/T cell (71.0% vs 64.3%), especially in HL (91.7%), all originated from B cell. Conclusions: We newly find the traditional protein marker CA125 can be used for lymphoma screening, which was integrated with genomic feature CNA and FS of cfDNA as a multidimensional assay for early detection of lymphoma with sufficient accuracy. The performance of our efficient and non-invasive assay for detecting lymphoma is 70.4% sensitivity at extremely high specificity 98.0%, especially for 40.0% sensitivity for early patients (stage I/II) screening.

Davoceticept (ALPN-202), a PD-L1-dependent CD28 costimulator and dual checkpoint inhibitor, in combination with pembrolizumab in patients with advanced malignancies (NEON-2).

TPS2683 Background: Despite successes with checkpoint inhibition (CPI) in a wide range of tumors, most demonstrate primary or acquired resistance, warranting better therapeutic strategies. PD-1 is now recognized to effect much of its benefit by disinhibiting CD28 signaling – a mechanism expected to require intra-tumoral engagement of CD28 by its ligands CD80/CD86. Davoceticept (ALPN-202), a variant CD80 vIgD-Fc fusion protein, was engineered to provide tumor localizing PD-L1-dependent CD28 agonism, while inhibiting PD-L1 and CTLA-4. Davoceticept has demonstrated superiority to CPI-only therapies in both in vitro and in vivo tumor models, while also demonstrating additional benefit in combination with targeted PD-1 axis blockade (Lewis et al. (2019) J Immunother Cancer 7(S1): P467). The benefit appeared at least additive in models of poorly immunogenic tumors, suggesting the possibility of meaningful clinical benefit where CPI therapeutic efficacy is limited, such as noninflamed tumors. Single agent safety and tolerability of davoceticept has been demonstrated along with pharmacodynamic evidence of CD28 engagement with immune checkpoint inhibition (Moser et al. (2021) J Clin Oncol 39(s15): 2547). Methods: NEON-2 is an open-label dose escalation and expansion study of davoceticept combined with pembrolizumab in adults with advanced solid tumors or lymphoma that was initiated in June 2021 (NCT04920383). Eligibility includes tumors where single agent PD-(L)1 antagonists are SOC, are refractory or resistant to standard therapies (including approved CPIs), or have no standard or curative therapy. The study employs a standard 3+3 dose escalation design with two schedules, Q1W and Q3W of davoceticept. Pembrolizumab is given per label at 400 mg IV Q6W. Objectives include evaluation of safety and tolerability, identification of the recommended phase 2 dose(s) (RP2D), PK, PD, exploratory predictive biomarker analysis (i.e., PD-L1, CD28, CD80 and CD86 expression, as well as immunophenotyping of immune cell populations on treatment) and preliminary anticancer activity of davoceticept in combination with pembrolizumab. Disease assessments are evaluated by RECIST v1.1 for solid tumors or by Lugano Classification for lymphoma. Efficacy endpoints include ORR, duration of response and disease control rate. Once the RP2D combination is identified, tumor-specific expansion cohorts of ̃ 30- 35 patients will be performed, including histologies that have not been demonstrated to be CPI responsive, as well as those where CPIs are approved SOC. The 0.1 mg/kg cohorts have been completed without DLT. Enrollment to the 0.3 mg/kg cohorts began in September 2021. Clinical trial information: NCT04920383.

Lymphoma of the eye and its adnexa : Modern pathological diagnostics and systemic treatment

Malignant lymphomas of the eye and its adnexal structures account for approximately 5-15% of extranodal lymphomas. According to anatomic and biological criteria, two large groups of lymphomas in and around the eye need to be distinguished: (1)primary lymphomas of intraocular structures and (2)primary lymphomas of ocular adnexa. Furthermore, there is alarge spectrum of secondary manifestations of malignant lymphomas in ocular and periocular structures. This article gives a summary of the classification and molecular pathology of various intraocular and periocular lymphomas as well as oncological systemic treatment with a focus on primary vitreoretinal lymphomas. A selective literature search was carried out in PubMed on the topic of intraocular and periocular lymphomas and own experiences are presented. The treatment of primary vitreoretinal lymphomas (PVRL) is an interdisciplinary challenge and despite the apparently localized disease, systemic treatment concepts are necessary to reduce the high risk of secondary involvement of the central nervous system (CNS). Therefore, it is crucial that the substances used can penetrate the CNS, and protocols should be chosen in accordance with the treatment concepts for primary CNS lymphomas. The knowledge on the genetics and biology of ocular lymphomas generated by modern high throughput methods enable not only improved diagnostics using molecular methods but also provide rationales for targeted therapeutic approaches. Adeep understanding of the biological and molecular principles of intraocular and periocular lymphomas forms a basic prerequisite for precise diagnostics and the use of targeted systemic treatment.

Novel T Follicular Helper-like T-Cell Lymphoma Therapies: From Preclinical Evaluation to Clinical Reality.

Simple SummaryThis work reviews the multiple efforts that have been and are being invested by researchers as well as clinicians to improve the treatment of a specific T-cell lymphoma called follicular helper peripheral T-cell lymphoma. Still, though treatments for B-cell lymphomas have improved, this particular T-cell lymphoma has little to no new therapeutic options that show marked improvements in the survival of the patients compared to treatment with chemotherapy. We report here the evaluation of targeted new therapies for this T-cell lymphoma in new preclinical models for this cancer or in clinical trials with the objective to offer better (combination) treatment options.The classification of peripheral T-cell lymphomas (PTCL) is constantly changing and contains multiple subtypes. Here, we focus on Tfh-like PTCL, to which angioimmunoblastic T-cell lymphoma (AITL) belongs, according to the last WHO classification. The first-line treatment of these malignancies still relies on chemotherapy but gives very unsatisfying results for these patients. Enormous progress in the last decade in terms of understanding the implicated genetic mutations leading to signaling and epigenetic pathway deregulation in Tfh PTCL allowed the research community to propose new therapeutic approaches. These findings point towards new biomarkers and new therapies, including hypomethylating agents, such as azacytidine, and inhibitors of the TCR-hyperactivating molecules in Tfh PTCL. Additionally, metabolic interference, inhibitors of the NF-κB and PI3K-mTOR pathways and possibly novel immunotherapies, such as antibodies and chimeric antigen receptors (CAR) directed against Tfh malignant T-cell surface markers, are discussed in this review among other new treatment options.

Clinical, histopathological and prognostic features of primary cutaneous acral CD8+ T-cell lymphoma and other dermal CD8+ cutaneous lymphoproliferations: results of an EORTC Cutaneous Lymphoma Group workshop.

The differential diagnosis of atypical dermal nonepidermotropic CD8+ lymphocytic infiltrates includes a heterogeneous spectrum of lymphoproliferations with overlapping histological and phenotypic features, but divergent clinical manifestations and prognoses. As these neoplasms are rare, more data on their clinicopathological presentation and course are needed. To assess the clinical, histological and immunophenotypic features; outcomes of; and differences between dermal CD8+ lymphoproliferations. Retrospective analysis of a series of 46 patients and biopsies by the international EORTC Cutaneous Lymphoma Group. The dermal CD8+ lymphoproliferations (n = 46) could be assigned to one of three groups: (i) cutaneous acral CD8+ T-cell lymphoma (n = 31), characterized mostly by a solitary nodule arising at acral sites, a monotonous dermal infiltrate of small-to-medium-sized CD8+ lymphocytes with a characteristic dot-like pattern of CD68, a low proliferation rate and an excellent prognosis; (ii) primary cutaneous CD8+ peripheral T-cell lymphoma, unspecified/NOS (n = 11), presenting with one or multiple rapidly evolving tumours, mostly medium-sized pleomorphic CD8+ tumour cells with expression of several cytotoxic markers, and high proliferative activity; and (iii) cutaneous CD8+ lymphoproliferations (n = 4), associated with congenital immunodeficiency syndromes in two patients with persisting localized or disseminated violaceous to brownish plaques on the extremities, a histiocyte-rich infiltrate of mostly small CD8+ lymphocytes with subtle atypia and a protracted course; and papular CD8+ eruptions in two patients with acquired immunosuppression. A constellation of distinct clinical, histopathological and phenotypic features allows discrimination and assignment of dermal CD8+ infiltrates into distinct disease entities. Primary cutaneous acral CD8+ lymphoma, assigned a provisional category in current lymphoma classifications, is a distinct and reproducible entity. A correct diagnosis is essential to avoid unnecessarily aggressive treatment for indolent CD8+ lymphoproliferations and to identify cases with underlying immuno-deficiency or potential for dismal outcome.

Automatic classification of lymphoma lesions in FDG-PET-Differentiation between tumor and non-tumor uptake.

The automatic classification of lymphoma lesions in PET is a main topic of ongoing research. An automatic algorithm would enable the swift evaluation of PET parameters, like texture and heterogeneity markers, concerning their prognostic value for patients outcome in large datasets. Moreover, the determination of the metabolic tumor volume would be facilitated. The aim of our study was the development and evaluation of an automatic algorithm for segmentation and classification of lymphoma lesions in PET. Pre-treatment PET scans from 60 Hodgkin lymphoma patients from the EuroNet-PHL-C1 trial were evaluated. A watershed algorithm was used for segmentation. For standardization of the scan length, an automatic cropping algorithm was developed. All segmented volumes were manually classified into one of 14 categories. The random forest method and a nested cross-validation was used for automatic classification and evaluation. Overall, 853 volumes were segmented and classified. 203/246 tumor lesions and 554/607 non-tumor volumes were classified correctly by the automatic algorithm, corresponding to a sensitivity, a specificity, a positive and a negative predictive value of 83%, 91%, 79% and 93%. In 44/60 (73%) patients, all tumor lesions were correctly classified. In ten out of the 16 patients with misclassified tumor lesions, only one false-negative tumor lesion occurred. The automatic classification of focal gastrointestinal uptake, brown fat tissue and composed volumes consisting of more than one tissue was challenging. Our algorithm, trained on a small number of patients and on PET information only, showed a good performance and is suitable for automatic lymphoma classification.

Zanubrutinib monotherapy in relapsed/refractory indolent non-Hodgkin lymphoma

AbstractOutcomes for marginal zone lymphoma (MZL) and follicular lymphoma (FL) remain suboptimal, owing to the limited number of approved agents and the incurable nature of the diseases. BGB-3111-AU-003 was a phase 1/2, open-label, multicenter, single-agent study of the selective Bruton's tyrosine kinase inhibitor zanubrutinib in 385 patients with B-cell malignancies. Here, we present safety and efficacy outcomes for the 53 enrolled patients with relapsed/refractory MZL (n = 20) and relapsed/refractory FL (n = 33), all of whom were enrolled during the part 2 dose expansion, and therefore received zanubrutinib at the recommended phase 2 dose. Treatment with zanubrutinib was generally well tolerated, with most adverse events being ≤ grade 2. Atrial fibrillation/flutter was not reported. Two patients required dose reduction, and 4 patients discontinued treatment because of adverse events. Response was assessed by an independent review committee for MZL and the investigators for FL, per Lugano 2014 classification for non-Hodgkin lymphoma. In patients with MZL, the overall response rate (ORR) was 80%, and the complete response (CR) rate was 20%. With median follow-up of 33.8 months, median progression-free survival (PFS) was not reached. In patients with FL, the ORR was 36.4%, and the CR rate was 18.2%. After a median follow-up of 33.9 months, median PFS was 10.4 months. In conclusion, the results of this study suggest a favorable benefit–risk profile and support zanubrutinib as a potentially meaningful addition to available therapies for patients with relapsed/refractory MZL and FL. This trial was registered at www.clinicaltrials.gov as #NCT02343120.

Bcl-2 Immunoexpression in Feline Epitheliotropic Intestinal T-Cell Lymphomas.

Lymphoma is the most common malignant hematopoietic neoplasm in domestic felines. Twenty-two cases of feline epitheliotropic duodenal T-cell lymphoma were characterized morphologically and immunohistochemically (CD3, Pax5, Ki-67), and Bcl-2 immunoexpression was established. Most cases were in domestic shorthair cats (88.2%), with a mean age of 11.2 years. All lymphomas were CD3+, with a low-to-moderate expression of Ki-67 (<30%). A correlation between the tumoral pattern of infiltration in the lamina propria and the intraepithelial distribution of the neoplastic lymphocytes was established (p = 0.0155). Intraepithelial nests of neoplastic lymphocytes were predominantly observed in lymphomas with a patchy distribution in the lamina propria, whereas intraepithelial plaques were seen in lymphomas with an obliteration pattern. Bcl-2 was expressed in neoplastic cells in all cases, and a higher expression was associated with increased villous stunting (p = 0.0221), and tended to be present in those cases with increased epithelial damage. The expression of Bcl-2 and the degree of epitheliotropism were correlated with neoplastic progression in epitheliotropic intestinal T-cell lymphomas; those displaying high Bcl-2 immunoexpression showed increased villous stunting and epithelial damage, suggesting that Bcl-2 is overexpressed in advanced tumor stages, and may be used as a predictor of tumoral behavior in feline epitheliotropic intestinal T-cell lymphomas. This entity showed many similarities with human MEITL, so the latter entity should be considered in further lymphoma classifications of domestic animals.

Epigenetic Modifications in Lymphoma and Their Role in the Classification of Lymphomas

The characterisation of the lymphoma epigenome has provided insight into mechanisms involved in lymphomagenesis. Multiple lymphoma subtypes demonstrate recurrent mutations in key epigenetic regulators that have been utilised to define clinicogenetic groups that can predict clinical behaviour in these heterogenous entities. The high frequency of mutations in epigenetic regulators provides rationale to incorporate these in the classification of some subtypes of lymphoma. In addition, their recurrent nature provides a rationale to target such mutations, or the relevant pathway, for treatment. In this review, we summarised the available literature on epigenetic dysregulation in lymphoma and how it has been utilised in diagnosis and classification.

Lymphoma for GPs across the cancer continuum

Lymphomas are a diverse and relatively common cancer type in the UK. Early diagnosis of lymphoma is vital for improving patient outcomes. The majority of patients diagnosed with lymphoma have a life expectancy of more than 5 years. Lymphoma treatments can have long-term health consequences, and patients with a history of lymphoma have a higher risk of subsequently developing other cancers. More robust evidence for the early diagnosis of lymphoma in primary care has been published in recent years, and the classification of lymphoma has recently been updated by the World Health Organisation. This article focuses on the diagnosis of lymphoma in adolescents and adults and the on-going care needs of patients who are being treated for lymphoma or have survived a diagnosis of lymphoma. Further information about lymphoma and other cancers in children can be found in the InnovAiT article by Dr Jennifer Kelly published in 2017.