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Said, Jonathan

https://orcid.org/0000-0001-9474-2563

Mayo Clinic

UCLA Jonsson Comprehensive Cancer Center

Citations 8

T-Cell Lymphomas, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology
Ansell, Stephen M. , Barnes, Jeffrey A. , Brammer, Jonathan E. , Clemens, Mark W. , Ghione, Paola , Goodman, Aaron M. , Guitart, Joan , Haverkos, Bradley M. , Hoppe, Richard T. , Jacobsen, Eric D. , Jagadeesh, Deepa , Jones, Allison , Mehta–Shah, Neha , Olsen, Elise A. , Rajguru, Saurabh, Rozati, Sima , Said, Jonathan , Shaver, Aaron C., Shea, Lauren , Sokol, Lubomir , Wu, Peggy A. , Zain, Jasmine , Dwyer, Mary A., Sundar, Hema, Hoppe, Richard T , Ghione, Paola , Horwitz, Steven M. , Ai, Weiyun Z. , Barta, Stefan K , Doǧan, Ahmet , Foss, Francine M. , Halwani, Ahmad , Kallam, Avyakta , Kim, Youn H , Kumar, Kiran Achut , Shinohara, Michi M. , Sokol, Lubomir , Torres‐Cabala, Carlos A. , Wilcox, Ryan A.

Journal of the National Comprehensive Cancer Network | March 11, 2022 | Volume: 20 | Issue: 3 | Pages: 285-308

10.6004/jnccn.2022.0015 Get It

Peripheral T-cell lymphomas (PTCLs) are a heterogeneous group of lymphoproliferative disorders arising from mature T cells, accounting for about 10% of non-Hodgkin lymphomas. PTCL-not otherwise specified is the most common subtype, followed by angioimmunoblastic T-cell lymphoma, anaplastic large cell lymphoma, anaplastic lymphoma kinase–positive, anaplastic large cell lymphoma, anaplastic lymphoma kinase–negative, and enteropathy-associated T-cell lymphoma. This discussion section focuses on the diagnosis and treatment of PTCLs as outlined in the NCCN Guidelines for T-Cell Lymphomas.
NCCN Guidelines Insights: T-Cell Lymphomas, Version 1.2021
Ansell, Stephen M. , Barnes, Jeffrey A. , Clemens, Mark W. , Goodman, Aaron M. , Guitart, Joan , Haverkos, Bradley M. , Hoppe, Richard T. , Jacobsen, Eric D. , Jagadeesh, Deepa , Jones, Allison , Mehta–Shah, Neha , Olsen, Elise A. , Pro, Barbara, Rajguru, Saurabh, Rozati, Sima , Said, Jonathan , Shaver, Aaron C., Shustov, Andrei R., Sokol, Lubomir , Torka, Pallawi , Torres‐Cabala, Carlos A. , William, Basem M. , Zain, Jasmine , Dwyer, Mary A., Sundar, Hema, William, Basem , Torres-Cabala, Carlos , Hoppe, Richard T , Horwitz, Steven M. , Ai, Weiyun Z. , Barta, Stefan K , Doǧan, Ahmet , Goyal, Gaurav , Halwani, Ahmad , Kim, Youn H , Sokol, Lubomir , Wilcox, Ryan A.

Journal of the National Comprehensive Cancer Network | November 5, 2020 | Volume: 18 | Issue: 11 | Pages: 1460-1467

10.6004/jnccn.2020.0053 Get It

Hepatosplenic T-cell lymphoma (HSTCL) is a rare subtype of T-cell lymphoma associated with an aggressive clinical course and a worse prognosis. HSTCL develops in the setting of chronic immune suppression or immune dysregulation in up to 20% of cases and is most often characterized by spleen, liver, and bone marrow involvement. Diagnosis and management of HSTCL pose significant challenges given the rarity of the disease along with the absence of lymphadenopathy and poor outcome with conventional chemotherapy regimens. These Guidelines Insights focus on the diagnosis and treatment of HSTCL as outlined in the NCCN Guidelines for T-Cell Lymphomas.
Biomarkers for Risk Stratification in Patients With Previously Untreated Follicular Lymphoma Receiving Anti–CD20-based Biological Therapy
Sohani, Aliyah R. , Giri, Sharmila, Pitcher, Brandelyn N., Chadburn, Amy , Said, Jonathan , Bartlett, Nancy L. , Czuczman, Myron S., Martin, Peter , Rosenbaum, Cara A. , Leonard, John P. , Cheson, Bruce D. , Bartlett, Nancy L , Maurer, Matthew J. , Jung, Sin‐Ho , Hsi, Eric D.

American Journal of Surgical Pathology | November 2, 2020 | Volume: 45 | Issue: 3 | Pages: 384-393

10.1097/pas.0000000000001609 Get It

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.
Diagnostic Accuracy of a Defined Immunophenotypic and Molecular Genetic Approach for Peripheral T/NK-Cell Lymphomas: A North American PTCL Study Group Project
Said, Jonathan , Macon, William R. , Gascoyne, Randy D. , Ondrejka, Sarah L. , Dorfman, David M. , Hsi, Eric D. , Rodig, Scott J , Morgan, Elizabeth A. , Maurer, Matthew J. , Doǧan, Ahmet

Blood | October 11, 2019 | Volume: 120 | Issue: 21 | Pages: 1545-1545

10.1182/blood.v120.21.1545.1545 Get It

Abstract Abstract 1545 Introduction: The diagnosis of peripheral T-cell lymphoma (PTCL) is difficult and accurate diagnosis and subclassification relies on correlating histologic, immunophenotypic, molecular genetic, and clinical data. Evidence-based guidelines for the appropriate diagnostic work-up of PTCL are lacking. The objective of this study was to evaluate a large series of PTCLs by experienced hematopathologists with a tiered approach to immunohistochemistry (IHC) and molecular genetic characterization to document overall diagnostic accuracy and clinical relevance using this approach. Methods: 7 experienced hematopathologists from 5 institutions reviewed 374 cases of peripheral T and NK cell lymphomas (referred to collectively as PTCL). 6 cases of cutaneous T-cell lymphoma were excluded after final review in addition to 29 non-PTCL cases submitted as control cases to mimic diagnostic practice during the review. Cases received tier 0, 1 and 2 diagnoses by 3 independent pathologists, based on review of hematoxylin and eosin (HE) stain with basic demographic data, panel 1 IHC (CD3, CD5, CD10, CD20, CD21, CD30, CD45, PAX5), and panel 2 IHC (CD2, CD4, CD7, CD8, CD23, PD1, CD56, EBER, ALK, TIA1, TCRg, TCRbF1), respectively. A tier 2b diagnosis was then rendered after gene rearrangement data were available. A final consensus diagnosis was rendered after discussion of each case by the 3 reviewers with all available clinical data. Overall survival (OS) was assessed using Kaplan-Meier (KM) curves and Cox proportional hazards models. Results: 1122 individual diagnoses leading to 339 final consensus PTCL diagnoses were rendered. 341 (91%) cases had complete phenotypic data and 241 had gene rearrangement data. There was no bias of missing data according to final diagnosis subtype. Reviewer diagnoses using specific WHO subclassification were 16.3%, 36.9%, 82.7%, and 85.9% for tier 0, 1, 2, and 2b, demonstrating a significant increase in diagnostic certainty after a complete IHC panel. Gene rearrangement only contributed to a change in diagnosis in 51/650 (8%) individual reviews. Across all 374 cases, a small number of cases (n=28, 7.5%) showed no agreement among the 3 independent reviewers after tier 2b and required debate. These generally represented refinement of the subclassification of a PTCL. The most common disagreements were between PTCL, not otherwise specified (nos) vs. unclassifiable T-cell lymphoma, and PTCL, nos vs. angioimmunoblastic T-cell lymphoma (AITL). Currently, OS data was available in 198 cases and 52% have died (median age follow-up of 15 months for those still alive, range 0–160 mo). Figure 1 shows the KM survival curves for types with more than 10 cases. Of note, unclassifiable PTCL cases had poor OS, comparable to PTCL nos; a trend was seen for CD30+ ALK- ALCL to have a longer OS compared to PTCL nos (HR=0.5, 95% CI: 0.21–1.19, P=.09). EBER positivity in tumor cells was associated with poor OS in the cohort of all PTCL patients (HR=2.32, 95% CI: 1.28–4.23, p=0.006, Figure 2); the association was similar when nasal NK/T-cell lymphoma cases were excluded (HR=2.50, 95% CI: 1.00–6.26, p=0.05). Trends for poor prognosis were also seen for TIA-1 expression in PTCL, nos (HR=1.9, 95% CI 0.91–3.96, P=.09) and PD1 expression in AITL (HR=6.25, 95% CI 0.85–46.09, P=.07). Clinical data collection is still ongoing and will be updated. Conclusions: We demonstrate the diagnostic accuracy among experienced hematopathologists of a defined IHC panel, showing an overall ability to reach consensus diagnosis of 93% in PTCL cases. The resulting consensus diagnostic subtypes showed expected outcomes relative to other large series of PTCLs, and EBER positivity is a poor prognostic marker among T and NK cell lymphomas. A tiered approach to IHC is recommended when a PTCL is under differential diagnostic consideration since the first tier can often resolve the main question of whether a lesion is reactive or lymphoma. This can lead to more efficient use of the expanded tier 2 panel that will enable diagnosis and specific subclassification of PTCL. Gene rearrangement studies are not required in the great majority of cases. This evidence-based approach to the diagnosis of PTCL should inform practicing pathologists, clinical trial design, and policy makers regarding required ancillary studies in this group of diseases. Disclosures: Hsi: Allos: Research Funding. Said:Allos: Research Funding. Macon:Allos: Research Funding. Rodig:Allos: Research Funding. Gascoyne:Seattle Genetics: Research Funding. Ondrejka:Allos: Research Funding. Dorfman:Allos: Research Funding. Maurer:Allos: Research Funding. Dogan:Allos: Research Funding.
Molecular profiling reveals immunogenic cues in anaplastic large cell lymphomas with DUSP22 rearrangements
Luchtel, Rebecca A. , Dasari, Surendra , Pedersen, Martin Bjerregård , Hu, Guangzhen , Sidhu, Jagmohan S. , Katoh, Ryohei, Kip, N. Sertac, Cunningham, Julie M. , Sun, Zhifu , Baheti, Saurabh , Porcher, Julie C., Said, Jonathan , Jiang, Liuyan , Hamilton‐Dutoit, Stephen , Møller, Michael , Nørgaard, Peter , Link, Brian K. , d’Amore, Francesco, Ansell, Stephen M. , Hamilton-Dutoit, Stephen Jacques , Møller, Michael Boe , Feldman, Andrew L , Sun, Zhifu , Link, Brian K , Oishi, Naoki , Rech, Karen L. , Ketterling, Rhett P. , Wang, Xueju , Doǧan, Ahmet , Bennani, N. Nora , Chng, Wee Joo , Huang, Gaofeng , Facchetti, Fabio , Cerhan, James R. , Feldman, Andrew L.

Blood | September 27, 2018 | Volume: 132 | Issue: 13 | Pages: 1386-1398

10.1182/blood-2018-03-838524 Get It

Key PointsDUSP22-rearranged ALCLs belong to a distinct subset of ALCLs lacking activated STAT3. DUSP22-rearranged ALCLs have a unique molecular signature characterized by DNA hypomethylation and an immunogenic phenotype.
Chromosome 8 alterations and PTEN loss in Gleason grade 3 tumor to predict the presence of unsampled grade 4 tumor: Implications for active surveillance.
Jenkins, Robert B. , Said, Jonathan , Fine, Samson W. , Fedor, Helen, Gürel, Bora , Trock, Bruce J , Knudsen, Beatrice S. , Lotan, Tamara Levin , Marzo, Angelo M. De

Journal of Clinical Oncology | February 24, 2017 | Volume: 32 | Issue: 4_suppl | Pages: 93-93

10.1200/jco.2014.32.4_suppl.93 Get It

93 Background: A key eligibility criterion in many active surveillance (AS) programs is that the biopsy exhibit only Gleason pattern 3 (G3) for a Gleason score of 6 or less. However, 25 to 35% of biopsy Gleason 6 is upgraded to Gleason 7 or higher in the prostatectomy (RP) specimen. Thus, there is a great need for biomarkers that, when measured on G3 tissue in a Gleason 6 biopsy, can predict the presence of unsampled higher grade tumor in the whole prostate. We evaluated PTEN loss by immunohistochemistry (IHC), and PTEN deletion, chromosome 8q (MYC) gain and 8p (LPL) loss by fluorescence in situ hybridization (FISH) for their ability to predict unsampled G4 tumor. Methods: A tissue microarray (TMA) was constructed of RP tissue from three groups of patients (n=50 per group) whose prostates exhibited only Gleason 3+3, only 3+4, or only 4+3 tumor, matched on age, year of RP, and race. In each patient, multiple cores sampled only from areas of G3 were evaluated for PTEN deletion by FISH, PTEN loss by IHC, and chromosome 8p/8q alterations by FISH. Biomarker results were compared between Gleason 6 versus 7 tumors using conditional logistic regression. Results: Patients underwent RP in 2001 to 2009, had median age 60, and median prostate-specific antigen 5.2; 63% of tumors were organ confined. In univariate analyses 8q gain (odds ratio OR=8.9, p<.0001), 8p loss (OR=6.9, p<.0001), PTEN loss by IHC (OR=5.7, p=.025), but not PTEN deletion by FISH (OR=1.5, p=.477) were significantly more common in G3 cores from Gleason 7 tumors than G3 cores from Gleason 6 tumors. In multivariable analyses, 8q gain (OR=6.2, p=.002) and 8p loss (OR=5.2, p=.0002) remained highly significant. At least one high risk biomarker (8q gain, 8p loss, PTEN loss, or PTEN deletion) was found in 35.7% of Gleason 3+3 versus 77.1% of Gleason 3+4 versus 91.3% of Gleason 4+3 tumors, p<.0001. Adjustment for confounding factors did not change the results. Conclusions: Chromosomal 8q gains (MYC), 8p loss (LPL), and PTEN loss measured in Gleason G3 TMA cores strongly differentiate whether the core comes from Gleason 6 or Gleason 7 tumor. If validated in biopsy Gleason 6 cores to predict prostatectomy Gleason 7 tumor these biomarkers could facilitate safe selection of men for active surveillance.
ALK-negative anaplastic large cell lymphoma is a genetically heterogeneous disease with widely disparate clinical outcomes
Castellar, Edgardo R. Parrilla , Jaffe, Elaine S. , Said, Jonathan , Ketterling, Rhett P. , Knudson, Ryan A., Sidhu, Jagmohan S. , Karikehalli, Shridevi, Jiang, Liuyan , Vasmatzis, George , Ondrejka, Sarah L. , Nicolae, Alina , Grogg, Karen L., Allmer, Cristine, Ristow, Kay M., Wilson, Wyndham H. , Macon, William R. , Cerhan, James R. , Ansell, Stephen M. , Maurer, Matthew J. , Feldman, Andrew L. , Parrilla Castellar, Edgardo R, Law, Mark E. , Doǧan, Ahmet , Feldman, Andrew L , Swerdlow, Steven H. , Hsi, Eric D. , Gibson, Sarah E. , Habermann, Thomas M. , Maurer, Matthew , Cerhan, James R , Jaffe, Elaine S , Ketterling, Rhett P

Blood | June 3, 2014 | Volume: 124 | Issue: 9 | Pages: 1473-1480

10.1182/blood-2014-04-571091 Get It

Key Points ALK-negative ALCLs have chromosomal rearrangements of DUSP22 or TP63 in 30% and 8% of cases, respectively. DUSP22-rearranged cases have favorable outcomes similar to ALK-positive ALCLs, whereas other genetic subtypes have inferior outcomes.
Prostate Stem Cell Antigen Is Overexpressed in Prostate Cancer Metastases
Lam, John S., Yamashiro, Joyce M., Shintaku, I. Peter, Vessella, Robert L., Jenkins, Robert B. , Said, Jonathan , Reiter, Robert E. , Horvath, Steve

Clinical Cancer Research | September 21, 2005 | Volume: 11 | Issue: 7 | Pages: 2591-2596

10.1158/1078-0432.ccr-04-1842 Get It

Abstract Purpose: Prostate stem cell antigen (PSCA) is expressed by a majority of prostate cancers and is a promising therapeutic target. PSCA protein and mRNA expression was examined in prostate cancer bone, lymph node, and visceral metastases to assess the potential of PSCA as an immunotherapeutic target in advanced prostate cancer. Experimental Design: Immunohistochemical analysis of PSCA protein expression and quantitative mRNA expression analysis of PSCA was done on clinical specimens of prostate cancer bone, lymph node, and visceral metastases. PSCA protein and mRNA expression levels were quantified and compared between available matched pairs of bone and lymph node or visceral metastases. Results: Bone metastases stained with higher intensity of PSCA compared with lymph node or liver metastases in seven of eight (87.5%) matched pairs (P = 0.035). PSCA mRNA expression was equal or greater than that of LAPC-9, a PSCA expressing xenograft, in 12 of 24 (50%) cases of prostate cancer metastases and was significantly correlated with PSCA protein expression (σ = 0.84, P = 0.0019). Overall, PSCA protein expression was detected in 41 of 47 (87.2%), four of six (66.7%), and two of three (66.7%) cases of bone, lymph node, and liver metastases, respectively. Mean PSCA staining intensity was significantly higher in prostate cancer bone metastases compared with lymph node metastases (2.0 ± 0.02 versus 0.83 ± 0.31, P = 0.014). Conclusions: Prostate cancer metastases express PSCA. However, greater PSCA staining intensity and level of PSCA mRNA expression was associated with bone metastases compared with lymph node metastases. This study suggests that PSCA is a promising tumor marker and potential therapeutic target for patients with metastatic prostate cancer.