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Wang, Hao‐Wei

https://orcid.org/0000-0002-5408-9253

Mayo Clinic

National Cancer Institute

Citations 7

CRLF2 rearrangement and extramedullary disease in B-cell acute lymphoblastic leukemia: a possible link?
Gava, Flavia , Yates, Bonnie , Sun, Zhouxin, Li, Grace , O'Koren, Chelsea, Adhikari, Biplov , Luger, S. M., Shalabi, Haneen , Mattison, Ryan J. , Türkbey, Evrim , Paietta, Elisabeth , Wang, Hao-Wei, Mullighan, Charles G., Litzow, M., Shah, Nirali N, Turkbey, Evrim B , Yuan, Constance M , Wang, Hao-Wei , Mullighan, Charles G , Litzow, Mark R. , Shah, Nirali N , Yuan, Constance M. , Wang, Hao‐Wei , Mullighan, Charles G. , Silbert, Sara K. , Litzow, Mark R.

Blood Advances | February 18, 2026 | Volume: 10 | Issue: 9 | Pages: 3044-3053

10.1182/bloodadvances.2025018480 Get It

Abstract Cytokine receptor–like factor 2 rearrangement (CRLF2r), an aberration causing a Philadelphia chromosome–like gene expression profile and a poor prognostic marker in B-cell acute lymphoblastic leukemia (B-ALL), endows relative chemotherapeutic resistance. Extramedullary disease (EMD), including both central nervous system (CNS) and non-CNS involvement, can also be associated with worse outcomes. The relationship between CRLF2r and EMD is unknown. Based on an initial observation of patients with relapsed/refractory (R/R) CRLF2r B-ALL and EMD, a single-center retrospective review was conducted to evaluate the incidence of EMD in patients with CRLF2r B-ALL. Across 177 children, adolescents, and young adults with R/R B-ALL, 21 (11.9%) harbored CRLF2r, of whom 19 (90.5%) had EMD at some point during their treatment course. In contrast, only 78 of the 156 patients (50%) without CRLF2r ever had EMD (P = .0003). In the CRLF2r cohort, 8 (38.1%) presented with EMD at diagnosis: 7 with CNS and 1 with non-CNS EMD. At relapse, 17 (80.9%) had EMD: 4 (19%) had CNS EMD, 9 (42.9%) had non-CNS EMD, and 4 (19%) had both. Isolated EMD was observed in 2 patients (11.8%) at first relapse and in 3 (17.6%) with multiple relapses. Given these findings, further study to evaluate this potential association between EMD and CRLF2r in R/R B-ALL is indicated.
Gene expression profiling reveals 2 overarching types of ALCL with distinct targetable biology: an LLMPP study
Feldman, Andrew L. , Dasari, Surendra, Scott, David W. , Oishi, Naoki , Hu, Guangzhen , Farinha, Pedro , Amador, Catalina , Campo, Elı́as , Cook, James R. , Fu, Kai , Greiner, Timothy C. , Iqbal, Javeed , Ondrejka, Sarah L. , Ott, G., Rosenwald, Andreas , Slack, Graham W. , Wright, George, Zeng, Yu , Yoshino, Tadashi, Wu, Xiaojun , Satou, Akira , Perry, Anamarija M. , Mou, Eric , Ko, Young Hyeh , Jiang, Liuyan , Gru, Alejandro A. , Chen, Weina , Chapman, Jennifer R. , Ansell, Stephen M. , Aljudi, Ahmed Assim , Scott, David W , Oishi, Naoki , Farinha, Pedro , Amador, Catalina , Campo, Elías , Cook, James R , Delabie, Jan , Greiner, Timothy C , Hilton, Laura K , Inghirami, Giorgio , Jaffe, Elaine S , Morin, Ryan D , Ondrejka, Sarah , Pittaluga, Stefania , Savage, Kerry J , Slager, Susan L , Wang, Hao-Wei , Wu, Xiaojun , Wilcox, Ryan A , Shi, Min , Miranda, Roberto N , Medeiros, L Jeffrey , Maurer, Matthew , Mou, Eric , Karube, Kennosuke , Gru, Alejandro , de Leval, Laurence , Chen, Weina , Cerhan, James R , Barrionuevo, Carlos , Aljudi, Ahmed Assim , Feldman, Andrew L , Iqbal, Javeed , Rimsza, Lisa M. , Chan, Wing C., Delabie, Jan , Hilton, Laura K. , Inghirami, Giorgio , Jaffe, Elaine S. , Pittaluga, Stefania , Raess, Philipp W. , Savage, Kerry J. , Slager, Susan L. , Song, Joo Y. , Wang, Hao‐Wei , Wilcox, Ryan A. , Wang, Xueju , Miranda, Roberto N. , Medeiros, L. Jeffrey , Maurer, Matthew J. , Karube, Kennosuke , Kahl, Brad S. , Jaye, David L. , Leval, Laurence de , Cerhan, James R.

Blood | December 2, 2025 | Volume: 147 | Issue: 11 | Pages: 1199-1214

10.1182/blood.2024027700 Get It

Abstract Anaplastic large cell lymphomas (ALCLs) are CD30+ T-cell lymphomas that share pathologic features but differ in presentation, outcome, and genetics. Current classification incorporates clinical presentation and anaplastic lymphoma kinase (ALK) status but inadequately addresses molecular heterogeneity and therapeutic vulnerabilities. We studied 689 patients with ALCL in the LLMPP (Lymphoma/Leukemia Molecular Profiling Project) and performed expert consensus review, genetic subtyping (ALK, DUSP22, TP63, and triple negative), and immunohistochemistry for phosphorylated STAT3Tyr705. RNA sequencing with unsupervised gene expression profiling in 393 patients identified 2 main molecular types of ALCL that could be predicted with 91% accuracy based on the presence (type I) or absence (type II) of phosphorylated STAT3Y705 expression. Type I ALCLs included ALK+ ALCL and a subset of triple-negative ALCLs (TN-I); type II ALCLs included tumors with DUSP22 and/or TP63 rearrangements and the remaining triple-negative ALCLs (TN-II). Type I ALCLs were enriched for JAK-STAT3, whereas type II ALCLs were enriched for non–tyrosine kinase pathways, particularly epigenetic regulators such as EZH2. Immunohistochemistry showed overexpression of EZH2 and its trimethylated substrate H3K27. Prognosis in systemic ALCL was favorable for DUSP22-rearranged ALCL (5-year overall survival, 95%) and ALK+ ALCL (88%), intermediate for triple-negative ALCL (TN-I, 52% and TN-II, 37%), and poor for TP63-rearranged ALCL (0%). We introduce an integrated molecular classification that preserves currently diagnosed ALCL entities but identifies 4 molecularly distinct ALK− ALCL subtypes (DUSP22-rearranged, TP63-rearranged, TN-I, and TN-II). This classification can be easily implemented on paraffin tissue in routine practice or clinical trials, and stratifies ALCL into diagnostically, prognostically, biologically, and potentially therapeutically relevant subtypes.
Project EVOLVE: an international analysis of postimmunotherapy lineage switch, an emergent form of relapse in leukemia
Rankin, Alexander W. , Hoang, Chloe, Semchenkova, Alexandra , Myers, Regina M. , Wang, Hao‐Wei , Kovach, Alexandra E. , Yuan, Constance M. , Colon, Dana Delgado, Vasseur, Loïc , John, Samuel , Lyons, Kaylyn Utley , Friedes, Barbara D., Alonso‐Saladrigues, Anna , Abdel‐Azim, Hisham , Balducci, Estelle , Aljudi, Ahmed Assim , Balsat, Marie , Biery, D. N. , Chamdin, Aghiad, Cuevo, Raymund S., Dickens, David S. , Duffner, Ulrich, Elliott, Michelle A. , Escherich, Gabriele , Fernandes, Sneha, Fitzjohn, Mandi R., Gahvari, Zhubin, He, Rui , Harrison, Cynthia , Hergott, Christopher A. , Hsieh, Emily M. , Larson, Daniel P. , Lee, Benjamin J. , Leguay, Thibaut , Mangaonkar, Abhishek A. , Mezger, Kerstin, Pacenta, Holly , Provost, Marlie R. M., Puri, Latika, Raikar, Sunil S. , Martinez, Armando, Bristol, Isabella Quijada, Murphy, Kyle, Reiman, Lauren T. , Redell, Michele S. , Reed, Kelly, Guépin, Gabrielle Roth, Savaşan, Süreyya , Schafernak, Kristian T. , Stevens, Alexandra M. , Talleur, Aimee C. , Carapia, Naomi Torres, Vargaftig, Jacques , Vatsayan, Anant , Wölfl, Matthias , Rives, Susana , Sasaki, Koji , Davis, Kara L. , Ghorashian, Sara , Jacoby, Elad , Попов, А. М. , Lamble, Adam J. , Rankin, Alexander W , Semchenkova, Alexandra , Myers, Regina M , Zerkalenkova, Elena , Wang, Hao-Wei , Kovach, Alexandra E , Yuan, Constance M , Vasseur, Loïc , Alonso-Saladrigues, Anna , Balducci, Estelle , Aljudi, Ahmed Assim , Chang, Bill H , Cuevo, Raymund S , De Moerloose, Barbara , Dickens, David S , Duployez, Nicolas , Elliott, Michelle Ann, Harrison, Cynthia , Kim, Annette S , Kuo, Dennis J , Larson, Daniel P , Lee, Benjamin J , Leguay, Thibaut , Lindsley, R Coleman , Puri, Latika , Raikar, Sunil S , Rubinstein, Jeremy , Schafernak, Kristian , Talleur, Aimee , Vatsayan, Anant , Wölfl, Matthias , Rives, Susana , Fabrizio, Vanessa A , Sasaki, Koji , Boissel, Nicolas , Rheingold, Susan R , Davis, Kara L , Ghorashian, Sara , Popov, Alexander , Shah, Nirali N , Silbert, Sara K. , Zerkalenkova, Elena , Colon, Dana Delgado, Bataller, Alex , Biery, D. Nathan, Chaer, Firas El , Grupp, Stephan A. , Pan, Jing , Martinez, Armando, Murphy, Kyle, Zhao, Liping, Aldoss, Ibrahim

Blood | April 7, 2025 | Volume: 146 | Issue: 4 | Pages: 437-455

10.1182/blood.2024026655 Get It

Abstract Lineage switch (LS), defined as the immunophenotypic transformation of acute leukemia, has emerged as a mechanism of relapse after antigen-targeted immunotherapy, which is associated with dismal outcomes. Through an international collaborative effort, we identified cases of LS after a host of antigen-targeted therapies (eg, CD19, CD22, CD38, and CD7), described how LS was diagnosed, reviewed treatment approaches, and analyzed overall outcomes for this form of postimmunotherapy relapse. Collectively, 75 cases of LS were evaluated, including 53 (70.7%) cases of B-cell acute lymphoblastic leukemia (B-ALL) transforming to acute myeloid leukemia (AML), 17 (22.7%) cases of B-ALL transforming to mixed phenotypic acute leukemia (MPAL)/acute leukemias of ambiguous lineage (ALAL), and 5 (6.7%) cases of rare LS presentation (ie, T-cell ALL to AML). An additional 10 cases with incomplete changes in immunophenotype, referred to as “lineage drift” were also described. With a primary focus on the 70 cases of LS from B-ALL to AML or MPAL/ALAL, LS emerged at a median of 1.5 months (range, 0-36.5) after immunotherapy, with 81.4% presenting with LS within the first 6 months from the most proximal immunotherapy. Although most involved KMT2A rearrangements (n = 45, 64.3%), other rare cytogenetic and/or molecular alterations were uniquely observed. Treatment outcomes were generally poor, with remission rates of <40%. The median overall survival after LS diagnosis was 4.8 months. Outcomes were similarly poor for those with rare immunophenotypes of LS or lineage drift. This global initiative robustly categorizes lineage changes after immunotherapy and, through enhanced understanding, establishes a foundation for improving outcomes of LS.
The Fusion Landscape of Anaplastic Large Cell Lymphoma: An L.L.M.P.P. Study
Hu, Guangzhen , Dasari, Surendra , Gimenez, J. , Salama, Farah M., Chan, Wing C. , Cook, James R. , Inghirami, Giorgio , Rosenwald, Andreas , Staudt, Louis M. , Wright, George W. , Amador, Catalina, Greiner, Timothy C. , Ondrejka, Sarah L. , Ott, German , Slack, Graham W. , Aljudi, Ahmed, Ansell, Stephen M. , Chapman‐Fredricks, Jennifer R., Chen, Weina , Gru, Alejandro A. , Jiang, Liuyan , Ko, Young Hyeh , Anamarija, Perry M., Satou, Akira , Wu, Xiaojun , Yoshino, Tadashi, Zeng, Yu , Gru, Alejandro , Wright, George , Feldman, Andrew L. , Rimsza, Lisa M. , Scott, David W. , Gimenez, Jimena B., Salama, Farah M., Shi, Min , Campo, Elı́as , Jaffe, Elaine S. , Morin, Ryan D , Raess, Philipp W. , Savage, Kerry J. , Delabie, Jan , Iqbal, Javeed , Hilton, Laura K. , Pittaluga, Stefania , Slager, Susan L. , Song, Joo Y. , Wang, Hao‐Wei , Barrionuevo, Carlos , Cerhan, James R. , Leval, Laurence de , Jaye, David L. , Kahl, Brad S. , Karube, Kennosuke , Mou, Eric , Maurer, Matthew J. , Medeiros, L. Jeffrey , Miranda, Roberto N. , Oishi, Naoki , Wang, Xueju , Wilcox, Ryan A.

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 2974-2974

10.1182/blood-2024-202410 Get It

Background: Anaplastic large cell lymphomas (ALCLs) represent a heterogeneous group of T-cell lymphomas that currently are classified by the presence or absence of ALK tyrosine kinase (TK) fusion genes (ALK+ or ALK−) and clinical presentation (systemic, cutaneous, or breast implant-associated). Two overarching molecular types of ALCL recently were discovered, defined by the presence (Type I) or absence (Type II) of a gene expression signature highly enriched for JAK-STAT3 activation. Fusions involving non-ALK TK genes occur in some ALK− cases, but the fusion landscape of ALCL remains incompletely characterized. Methods: Expert consensus pathology review was conducted in the Lymphoma/Leukemia Molecular Profiling Project (LLMPP). RNAseq was performed and fusions were identified using FusionCatcher. Here, we focused on recurrent in-frame coding fusions. Previously unreported fusions were validated by RT-PCR. Type I/II was assigned using a previously validated gene expression-based model. Genes with adjusted (adj) P<0.05 were considered differentially expressed. Overall survival (OS) was assessed for systemic ALCL, when available. Results: We evaluated 379 ALCLs (229M/150F; mean age, 56 y). Of 199 candidate fusions (excluding reciprocal events), 28 were recurrent and passed quality metrics. At least 1 of these 28 fusions was present in 150 cases (40%). ALK fusions were present in 106 ALK+ ALCLs (all Type I; P<0.0001). Of these, NPM1::ALK was seen in 68/106 (64%). Alternate partners (X::ALK) included ATIC (N=24) and CTLC, COL1A2, MSN, MYH9, RNF213, SATB1, TFH, TPM3, and TRAF1 (1-3 cases each). X::ALK was associated with older age (mean, 52 y) than NPM1::ALK (32 y; P<0.0001) and showed relative overexpression of 49 genes, including multiple activators of small GTPases such as CGNL1 (FC, 5.6; Padj=2.4×10-6), SRGAP1, ALS2, DOCK1, and NCKAP1. ALK expression was similar in cases with NPM1::ALK and X::ALK and there was no significant difference in OS. Non-ALK TK fusions were seen in 17/273 ALK− cases (6%), including TYK2 (N=9); JAK2 (N=6); and ROS1 (N=2). All were Type I ALCLs (P<0.0001). ALK− cases with non-ALK TK fusions overexpressed 38 genes compared to ALK− cases without TK fusions, including cytokines involved in the IL17 signaling pathway such as CXCL6 (FC, 12.5; Padj=4.2×10-3), CXCL1, and CSF3. We then assessed the relationship between ALK− cases with non-ALK TK fusions and ALK+ cases by separately comparing each subset to ALK− cases without TK fusions. FC values for ALK− cases with non-ALK TK fusions were significantly correlated with FC values for ALK+ ALCLs over the set of expressed genes (R=0.54; P<0.0001). At a median follow-up of 32 months, 0/4 systemic ALCL patients with non-ALK TK fusions had died, while 30% of those with ALK− ALCL without TK fusions had died, but this was not statistically significant (P=0.26). The other 13 ALK− cases with non-ALK TK fusions were either localized ALCLs or did not have outcome data available. Of 20 TP63 fusions, 17 (85%) were TBL1XR1::TP63 and 3 were X::TP63. As previously reported, TP63 fusions were associated with poor OS (median OS, 10 months; not reached for other ALK− ALCLs; P=0.007). Four ALCLs had a novel NCL::UBTF fusion involving genes encoding the nucleolar proteins nucleolin and nucleolar (upstream binding) transcription factor-1. Four cases each had PARG::BMS1 and TNK1::GPS2 (the latter seen only in Type I ALCLs). Conclusions: This large consortium-based analysis of coding fusions further elucidates the molecular distinction between Type I and Type II ALCLs. Both ALK and non-ALK TK fusions were seen exclusively in Type I ALCLs, which we have shown previously are enriched for JAK-STAT3 pathway genes and correlate strongly with pSTAT3Y705 positivity by immunohistochemistry. These fusions were not identified in Type II ALCLs, which previous data suggest are associated with epigenetic alterations. ALK+ ALCLs with NPM1::ALK and X::ALK showed differences in gene expression, suggesting biological differences. Furthermore, ALCLs with non-ALK TK fusions shared gene expression features with ALK+ ALCL. Clinical fusion detection could enhance molecular classification of Type I and Type II ALCLs and may guide precision therapy.
Project Evolve, Evaluation of Lineage Switch (LS), an International Initiative: Preliminary Results Reveal Dismal Outcomes in Patients with LS
Harrison, Cynthia , Biery, D. N. , Zerkalenkova, Elena , Alonso‐Saladrigues, Anna , Utley, Kaylyn, Fernandes, Sneha, Carapia, Naomi Torres, Vatsayan, Anant , Pacenta, Holly , Escherich, Gabriele , Lee, Benjamin J. , Fitzjohn, Mandi R., Larson, Daniel P. , Cuevo, Raymund S., He, Rui , Reed, Kelly, Wölfl, Matthias , Raikar, Sunil S. , Savaşan, Süreyya , Puri, Latika, Gahvari, Zhubin, Talleur, Aimee C. , Abdel‐Azim, Hisham , Chamdin, Aghiad, Provost, Marlie R. M., Mezger, Kerstin, Stevens, Alexandra M. , Hsieh, Emily M. , Duffner, Ulrich, Hoang, Chloe, Davis, Kara L. , Jacoby, Elad , Попов, А. М. , Lamble, Adam J. , Raikar, Sunil S , Zerkalenkova, Elena , Harrison, Cynthia , Lee, Benjamin J , Davis, Kara L , Silbert, Sara K. , Semchenkova, Alexandra , Aldoss, Ibrahim , Zhao, Liping , Rubinstein, Jeremy , Chang, Bill H , De Moerloose, Barbara , Kuo, Dennis J , Redell, Michele S. , Duployez, Nicolas , Dickens, David S. , Chaer, Firas El , Fabrizio, Vanessa A , Wang, Hao‐Wei , Yuan, Constance M. , Pan, Jing , Ghorashian, Sara , Rives, Susana , Shah, Nirali N

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 4202-4202

10.1182/blood-2023-182293 Get It

Introduction: Lineage switch (LS) refers to the transformation of acute leukemia from one cell lineage to another (e.g., lymphoid (ALL) to myeloid (AML)). This rare phenomenon, distinct from treatment induced malignancy (i.e., t-AML) and mixed phenotype acute leukemia (MPAL), is increasingly being observed following cell surface antigen targeting. Given challenges in the diagnosis and treatment of LS, Project EVOLVE was developed to globally identify cases of LS following immunotherapy. Methods: A protocol and data collection form for this IRB exempt study was widely disseminated to capture deidentified LS case information across multiple centers and cancer consortia. This included collection of data from published reports of LS, with authors contacted to obtain additional information. For this analysis, LS was defined by the emergence of cell-surface markers warranting reclassification of the original leukemia as a different lineage derivation based on the immunophenotype, including cases of AML emerging alongside the original ALL. “Confirmed” LS cases included those where retention of original cytogenetic or molecular aberrations and/or the clonal immunoglobulin rearrangement patterns were verified to confirm the clonal relationship. “Suspected” LS cases included those where samples to confirm clonality marker retention could not be obtained, but the clinical presentation was consistent with LS. The term “transition” was applied when immunophenotypic shifts were transient. Cases with new cytogenetic abnormalities unrelated to the original diagnosis and compatible with t-AML were excluded. Statistical analysis was primarily descriptive. Data cut-off was July 26, 2023. Results: A total of 58 cases were identified, including 19 cases referenced in prior publications. Of the 58, 11 cases were excluded from this initial analysis, including: 4 cases of t-AML, 2 cases of T-ALL to AML, and 5 “transition” cases. Collectively, 47 cases of LS (43 “confirmed”; 4 “suspected”), spanning across 3 continents and 8 countries, were analyzed. (Fig. 1A) Cases included transition from B-ALL to AML in 36 (76.6%) and to MPAL/biphenotypic/ambiguous lineage in 11 (23.4%). Two likely had MPAL at diagnosis and a third with chronic myeloid leukemia. The median age at initial diagnosis was 8.4 years (range, 1 day-76.5 years); median age at LS presentation was 11.0 years (range 0.4-77.3 years). Twenty-three (48.9%) were male and 19 (40.4%) had prior stem cell transplant (SCT). Baseline cytogenetics showed KMT2A rearrangement in 27 (57.4%). Baseline myeloid antigen co-expression was seen in 22 of 23 patients with submitted data, but variation in degree of expression across patients and antigens was substantial. The most proximal immunotherapy prior to development of LS was CAR T-cells in 23 (48.9%) and blinatumomab in 24 (51.1%). The median time from the most proximal immunotherapy to development of LS was 1.6 months (range, 7 days-36.5 months). In 7 (29.2%) patients receiving blinatumomab, LS developed during the infusion. LS presented as isolated marrow relapse in 27 (57.4%), isolated CNS in 2 (4.3%), isolated non-CNS extramedullary disease in 3 (6.4%), combined relapse in 14 (29.8%) and unreported in 1. First line treatment for LS was chemotherapy induction in 31 (66.0%), palliative care/no therapy in 8 (17.0%), and alternative therapies in the remaining 8 (17.0%). In 35 (74.5%) patients, remission induction was the goal of first line therapy. Fifteen (31.9%) achieved a complete remission (CR) of whom 2 were treated with palliative intent. Across all patients, 8 (17.0%) are alive in remission, the longest being 4.7 years from LS diagnosis; 2 (4.3%) are alive with active LS and 37 (78.7%) died from LS, their original disease, or complications of treatment of LS (Fig 1B). For those alive in CR (n=8), 7 (87.5%) proceeded to a consolidative SCT for treatment of LS and 1 patient, an octogenarian remains in remission after AML directed therapy. Conclusions: LS is emerging as an important mechanism of immune escape following immunotherapy. Project EVOLVE provides the largest dataset of patients with LS to date. This systematic, international effort reveals substantial complexity and variability in diagnosing and managing LS. Unfortunately, outcomes following LS are grim, underscoring the critical need to identify risk factors of and optimal therapies for this leukemia transformation.
Gene Expression Profiling Reveals Two Overarching Types of Anaplastic Large Cell Lymphoma with Distinct Targetable Biology: An L.L.M.P.P. Study
Dasari, Surendra , Amador, Catalina, Chan, Wing C. , Cook, James R. , Farinha, Pedro , Fu, Kai , Greiner, Timothy C. , Ondrejka, Sarah L. , Ott, German , Rosenwald, Andreas , Slack, Graham W. , Staudt, Louis M. , Wright, George W. , Zeng, Yu , Yoshino, Tadashi, Wu, Xiaojun , Satou, Akira , Perry, Anamarija M. , Ko, Young Hyeh , Jiang, Liuyan , Chen, Weina , Chapman‐Fredricks, Jennifer R., Ansell, Stephen M. , Aljudi, Ahmed, Farinha, Pedro , Wright, George , Feldman, Andrew L. , Rimsza, Lisa M. , Scott, David W. , Oishi, Naoki , Campo, Elı́as , Delabie, Jan , Inghirami, Giorgio , Iqbal, Javeed , Jaffe, Elaine S. , Pittaluga, Stefania , Raess, Philipp W. , Savage, Kerry J. , Slager, Susan L. , Song, Joo Y. , Wang, Hao‐Wei , Wilcox, Ryan A. , Wang, Xueju , Miranda, Roberto N. , Medeiros, L. Jeffrey , Maurer, Matthew J. , Mou, Eric , Karube, Kennosuke , Kahl, Brad S. , Jaye, David L. , Leval, Laurence de , Cerhan, James R. , Barrionuevo, Carlos

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 847-847

10.1182/blood-2023-186969 Get It

Background: Anaplastic large cell lymphomas (ALCLs) are CD30-positive T-cell lymphomas that share pathologic features but differ in clinical presentation, outcome, and molecular features. The World Health Organization (WHO) and International Consensus Classification (ICC) classify ALCLs by presence or absence of ALK rearrangements (R) and clinical presentation (systemic, cutaneous [c], or breast implant-associated [BIA]). ICC, but not WHO, recognizes DUSP22-R as defining a new genetic subtype of ALK- ALCL. The classifications otherwise do not reflect additional molecular heterogeneity in genetics (e.g., TP63-R) or therapeutic vulnerabilities (e.g., JAK-STAT3 pathway activation). Methods: ALCLs (N=689) underwent expert consensus review (WHO/ICC) through the Lymphoma/Leukemia Molecular Profiling Project (LLMPP). All cases also underwent genetic subtyping (ALK, DUSP22, TP63, and triple-negative [TN]) using fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC), as well as IHC for phospho-STAT3 Tyr705 (pSTAT3). RNAseq was performed and evaluable in 393 cases; the remaining cases had insufficient tissue, tumor content, RNA yield or quality, and/or sequencing data quality. Sequenced and non-sequenced sub-cohorts had similar demographics and subtype distribution. Results: Unsupervised gene expression profiling (GEP) identified 2 main molecular types of ALCL. Type I ALCLs predominantly included ALK+ ALCLs, BIA-ALCLs, and a subset of TN ALCLs (designated TN-I), whereas Type II ALCLs predominantly included ALCLs with DUSP22-R, TP63-R, or both (double-hit; DH), and the remaining TN ALCLs (TN-II). Type I ALCLs were strongly associated with pSTAT3 expression (74.2±26.4% positive malignant cells vs 9.9±22.7% for Type II; P<0.0001). An independently derived pSTAT3 staining threshold of 30% assigned Type I vs II with 91% accuracy. A third cluster of ALCLs, mostly cALCL, showed an epithelial GEP signature rather than a lymphoma signature; these cases were assigned to Types I or II based on pSTAT3 IHC. Distinct sub-signatures were identified for ALK+, DUSP22-R, TP63-R, and BIA ALCL (Fig. 1), but not ALK- ALCL or cALCL. Gene set enrichment analysis showed Type I ALCLs to be enriched for JAK-STAT3 signaling genes (normalized enrichment score [NES], 2.22; FDR<0.0001) and related pathways, such as TNFα-NFκB signaling (NES, 2.21; FDR<0.0001). In contrast, Type II ALCLs were enriched for cell cycle, DNA repair, epigenetic, and metabolic pathway genes, but not for major tyrosine kinase-mediated signaling pathway genes. Enriched epigenetic pathways included chromatin modifying enzymes (NES, -1.86; FDR=0.002) and histone methylation (NES, -1.71; FDR=0.002). EZH2 was the most overexpressed gene in Type II ALCLs (fold-change, 7.74; FDR=8.84×10 -306). At the protein level, EZH2 IHC H-scores were 275±45 in Type II and 168±70 in Type I ALCLs (P<0.0001); H3K27me3 H-scores were 170±81 and 76±63, respectively (P<0.001). The top metabolic gene set involved cholesterol biosynthesis (NES, -1.88; FDR=0.002). Overall survival (OS) data were available in 257 systemic ALCL patients (145 sequenced and 112 non-sequenced; cALCL and BIA-ALCL were excluded). Non-sequenced TN ALCLs were assigned to TN-I or TN-II using pSTAT3 IHC. The results supported earlier data indicating favorable prognosis of DUSP22-R ALCL (5 y OS, 95%) and ALK+ ALCL (87%), intermediate prognosis of TN ALCL (TN-I, 52% and TN-II, 38%; P=NS), and poor prognosis of TP63-R/DH ALCL (0%)(P<0.0001; Fig. 2). Conclusions: Two overarching molecular types of ALCL exist, predominantly associated with the presence (Type I) or absence (Type II) of the JAK-STAT3 signaling program. Distinct GEP signatures exist for ALK+ ALCL and BIA-ALCL (predominantly Type I), and DUSP22-R ALCL and TP63-R ALCL (predominantly Type II). TN ALCLs lacking ALK-R, DUSP22-R, and TP63-R can be stratified into TN-I and TN-II subtypes. pSTAT3 IHC has >90% accuracy as a surrogate for GEP-based subtyping. ALK- ALCL and cALCL cluster by molecular subtype rather than by defining GEP signatures. Type II ALCLs are enriched for targetable epigenetic and metabolic pathways, including EZH2/histone methylation and cholesterol biosynthesis. This molecular classification is diagnostically, prognostically, and potentially therapeutically relevant, and can be applied using FISH and IHC in routine practice and in the clinical trial setting.
CD22 CAR T-cell associated hematologic toxicities, endothelial activation and relationship to neurotoxicity
Jess, Jennifer, Yates, Bonnie , Dulau‐Florea, Alina , Parker, Kevin R. , Inglefield, Jon R., Lichtenstein, Daniel A. , Ongkeko, Martin, Wang, Yanyu , Shahani, Shilpa, Cullinane, Ann, Smith, Hannah , Kane, Eli, Shalabi, Haneen , Lozier, Jay N. , Lichtenstein, Dan , Shalabi, Haneen , Shah, Nirali N , Jess, Jennifer , Schischlik, Fiorella , Little, Lauren, Chen, Dong , Fry, Terry J. , Wang, Hao‐Wei , Satpathy, Ansuman T.

Journal for ImmunoTherapy of Cancer | June 9, 2023 | Volume: 11 | Issue: 6 | Pages: e005898

10.1136/jitc-2022-005898 Get It

Background Hematologic toxicities, including coagulopathy, endothelial activation, and cytopenias, with CD19-targeted chimeric antigen receptor (CAR) T-cell therapies correlate with cytokine release syndrome (CRS) and neurotoxicity severity, but little is known about the extended toxicity profiles of CAR T-cells targeting alternative antigens. This report characterizes hematologic toxicities seen following CD22 CAR T-cells and their relationship to CRS and neurotoxicity. Methods We retrospectively characterized hematologic toxicities associated with CRS seen on a phase 1 study of anti-CD22 CAR T-cells for children and young adults with relapsed/refractory CD22+ hematologic malignancies. Additional analyses included correlation of hematologic toxicities with neurotoxicity and exploring effects of hemophagocytic lymphohistiocytosis-like toxicities (HLH) on bone marrow recovery and cytopenias. Coagulopathy was defined as evidence of bleeding or abnormal coagulation parameters. Hematologic toxicities were graded by Common Terminology Criteria for Adverse Events V.4.0. Results Across 53 patients receiving CD22 CAR T-cells who experienced CRS, 43 (81.1%) patients achieved complete remission. Eighteen (34.0%) patients experienced coagulopathy, of whom 16 had clinical manifestations of mild bleeding (typically mucosal bleeding) which generally subsided following CRS resolution. Three had manifestations of thrombotic microangiopathy. Patients with coagulopathy had higher peak ferritin, D-dimer, prothrombin time, international normalized ratio (INR), lactate dehydrogenase (LDH), tissue factor, prothrombin fragment F1+2 and soluble vascular cell adhesion molecule-1 (s-VCAM-1). Despite a relatively higher incidence of HLH-like toxicities and endothelial activation, overall neurotoxicity was generally less severe than reported with CD19 CAR T-cells, prompting additional analysis to explore CD22 expression in the central nervous system (CNS). Single-cell analysis revealed that in contrast to CD19 expression, CD22 is not on oligodendrocyte precursor cells or on neurovascular cells but is seen on mature oligodendrocytes. Lastly, among those attaining CR, grade 3–4 neutropenia and thrombocytopenia were seen in 65% of patients at D28. Conclusion With rising incidence of CD19 negative relapse, CD22 CAR T-cells are increasingly important for the treatment of B-cell malignancies. In characterizing hematologic toxicities on CD22 CAR T-cells, we demonstrate that despite endothelial activation, coagulopathy, and cytopenias, neurotoxicity was relatively mild and that CD22 and CD19 expression in the CNS differed, providing one potential hypothesis for divergent neurotoxicity profiles. Systematic characterization of on-target off-tumor toxicities of novel CAR T-cell constructs will be vital as new antigens are targeted. Trial registration number NCT02315612 .