scholarly journals NGS Analysis of Clonality and Minimal Residual Disease in a Patient with Concurrent Richter’s Transformation and CLL/SLL

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shrihari S. Kadkol ◽  
Joshua Bland ◽  
Ashley Kavanaugh ◽  
Hongyu Ni ◽  
Vijeyaluxmi Nehru ◽  
...  
Keyword(s):  
B Cell ◽  
Minimal Residual Disease ◽  
Residual Disease ◽  
Response To Therapy ◽  
B Cell Lymphomas ◽  
Richter’S Transformation ◽  
Richter's Transformation ◽  
Tumor Clone ◽  
Minimal Residual ◽  
Chop Therapy

B-cell lymphomas are neoplastic proliferations of clonal B lymphocytes. Clonality is generally determined by PCR amplification of VDJ rearrangements in the IgH heavy chain or VJ rearrangements in Igκ/Igλ light chain genes followed by capillary electrophoresis. More recently, next-generation sequencing (NGS) has been used to detect clonality in B-cell lymphomas because of the exponential amount of information that is obtained beyond just detecting a clonal population. The additional information obtained is useful for diagnostic confirmation, prognosis assessment, and response to therapy. In this study, we utilized NGS analysis to characterize two histologically distinct lymphomas (DLBCL and CLL/SLL) that were detected contemporaneously in an asymptomatic patient. NGS analysis showed that the same VDJ rearrangement was present in nodal (DLBCL) and marrow (CLL/SLL) biopsies confirming that the DLBCL resulted from Richter’s transformation of a subclinical CLL/SLL. The V region of the rearrangement remained unmutated without somatic hypermutation. In silico analysis showed that the HCDR3 sequence was heterogeneous and not stereotypic. Minimal residual disease analysis by NGS showed that the tumor clone decreased by 2.84 logs in the bone marrow after R-CHOP therapy. However, a small number of tumor cells were still detected in the peripheral blood after R-CHOP therapy. Subsequent allogeneic transplantation was successful in eradicating the tumor clone and achieving deep molecular remission. We show that NGS analysis facilitated clinical management in our patient by helping to characterize the VDJ rearrangement in detail and by tracking minimal residual disease with high sensitivity and specificity.

scholarly journals Co-culture model of B-cell acute lymphoblastic leukemia recapitulates a transcription signature of chemotherapy-refractory minimal residual disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stephanie L. Rellick ◽  
Gangqing Hu ◽  
Debra Piktel ◽  
Karen H. Martin ◽  
Werner J. Geldenhuys ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Acute Lymphoblastic Leukemia ◽  
B Cell ◽  
Tumor Cells ◽  
Minimal Residual Disease ◽  
Residual Disease ◽  
Lymphoblastic Leukemia ◽  
Adherent Cells ◽  
Cell Acute Lymphoblastic Leukemia ◽  
Minimal Residual

AbstractB-cell acute lymphoblastic leukemia (ALL) is characterized by accumulation of immature hematopoietic cells in the bone marrow, a well-established sanctuary site for leukemic cell survival during treatment. While standard of care treatment results in remission in most patients, a small population of patients will relapse, due to the presence of minimal residual disease (MRD) consisting of dormant, chemotherapy-resistant tumor cells. To interrogate this clinically relevant population of treatment refractory cells, we developed an in vitro cell model in which human ALL cells are grown in co-culture with human derived bone marrow stromal cells or osteoblasts. Within this co-culture, tumor cells are found in suspension, lightly attached to the top of the adherent cells, or buried under the adherent cells in a population that is phase dim (PD) by light microscopy. PD cells are dormant and chemotherapy-resistant, consistent with the population of cells that underlies MRD. In the current study, we characterized the transcriptional signature of PD cells by RNA-Seq, and these data were compared to a published expression data set derived from human MRD B-cell ALL patients. Our comparative analyses revealed that the PD cell population is markedly similar to the MRD expression patterns from the primary cells isolated from patients. We further identified genes and key signaling pathways that are common between the PD tumor cells from co-culture and patient derived MRD cells as potential therapeutic targets for future studies.

scholarly journals Pharmacogenetics of minimal residual disease response in children with B-precursor acute lymphoblastic leukemia: a report from the Children's Oncology Group

Blood ◽  
2008 ◽  
Vol 111 (6) ◽  
pp. 2984-2990 ◽  
Author(s):  
Stella M. Davies ◽  
Michael J. Borowitz ◽  
Gary L. Rosner ◽  
Kristin Ritz ◽  
Meenakshi Devidas ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Acute Lymphoblastic Leukemia ◽  
Minimal Residual Disease ◽  
Residual Disease ◽  
Lymphoblastic Leukemia ◽  
Response To Therapy ◽  
Oncology Group ◽  
Risk Status ◽  
Prognostic Features ◽  
Minimal Residual

Abstract Minimal residual disease (MRD) as a marker of antileukemic drug efficacy is being used to assess risk status and, in some cases, to adjust the intensity of therapy. Within known prognostic categories, the determinants of MRD are not known. We measured MRD by flow cytometry at day 8 (in blood) and at day 28 (in bone marrow) of induction therapy in more than 1000 children enrolled in Pediatric Oncology Group therapy protocols 9904, 9905, and 9906. We classified patients as “best risk” if they had cleared MRD by day 8 of therapy and as “worst risk” if they had MRD remaining in bone marrow at day 28, and tested whether MRD was related to polymorphisms in 16 loci in genes hypothesized to influence response to therapy in acute lymphoblastic leukemia (ALL). After adjusting for known prognostic features such as presence of the TEL-AML1 rearrangement, National Cancer Institute (NCI) risk status, ploidy, and race, the G allele of a common polymorphism in chemokine receptor 5 (CCR5) was associated with more favorable MRD status than the A allele (P = .009, logistic regression), when comparing “best” and “worst” risk groups. These data are consistent with growing evidence that both acquired and host genetics influence response to cancer therapy.

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