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A Correlative Biomarker Analysis for A Phase I Trial of the Combination of Lenalidomide and Blinatumomab in Patients with Relapsed or Refractory NHL

$207,400UM1FY2020CANIH

Beckman Research Institute/City Of Hope, Duarte CA

Investigators

Linked publications, trials & patents

Paper 39538011Paper 39197359Paper 39133806Paper 38920407Paper 38355777Paper 38135713Paper 37824137Paper 37672694Paper 37467452Paper 36826995Paper 36780008Paper 36604210Paper 36469840Paper 36256912Paper 35435472Paper 35130943Paper 35031545Paper 34716194Paper 34436521Paper 34140248Paper 34135021Paper 33423090Paper 33409898Paper 33229301Paper 32816943Paper 32446637Paper 32401317Paper 32314030Paper 31811017Paper 31617432Paper 31522242Paper 31271459Paper 30915273Paper 30854497Paper 30651320Paper 30303516Paper 30128950Paper 29520435Paper 28939740Paper 28832978Paper 28420721Paper 28415633Paper 28356425Paper 28223062Paper 28186961Paper 28049139Paper 27979916Paper 27650362Paper 26895565Paper 26362045Paper 26321472Paper 26106072Paper 25891346Paper 25840583Paper 25567350Paper 25349975Paper 24369094Paper 23776198Paper 23712328Paper 23653147Trial NCT07444710Trial NCT07332507Trial NCT06860594Trial NCT06661915Trial NCT06015880Trial NCT05432804Trial NCT05172258Trial NCT04847453Trial NCT04541017Trial NCT04491942Trial NCT04250545Trial NCT04190550Trial NCT03983824Trial NCT03745352Trial NCT03321643Trial NCT03237780Trial NCT03041688Trial NCT02595931Trial NCT02581930Trial NCT02568553Trial NCT02567409Trial NCT02535338Trial NCT02535312Trial NCT02496663Trial NCT02496208Trial NCT02474160Trial NCT02453620Trial NCT02345265Trial NCT02275533Trial NCT02188264Trial NCT02070549Trial NCT01907802Trial NCT01729806Trial NCT01654965Trial NCT01638533Trial NCT01567709Trial NCT01366144Trial NCT01038778Trial NCT00892736Trial NCT00365157

Abstract

Project Summary Of the 70,000 new cases of non-Hodgkin?s lymphoma (NHL) diagnosed in 2014, the most common subtype is diffuse large B-cell lymphoma (DLBCL), of these approximately 40% will relapse after standard induction with CHOP-R. Of these patients, the only opportunity for long-term disease control is with CAR T cell therapy, autologous or allogeneic transplant. Many patients are not candidates due to age or co-morbidities, cannot achieve required disease control, or do not have a suitable donor. Additionally, many relapsed indolent and mantle cell lymphoma (MCL) patients eventually exhaust all treatment options are not candidates for aggressive cytotoxic chemotherapy due to co-morbidities or the potential for substantial myelosuppression. Patients with relapsed/refractory (R/R) NHL clearly represent an unmet medical need. Both lenalidomide and blinatumomab have proven, but limited, efficacy in R/R NHL. Lenalidomide has been shown to modulate different components of the immune system by altering cytokine production, regulating T cell co-stimulation and augmenting the NK cell cytotoxicity. Blinatumomab specifically targets the CD19 antigen present on B cells. The inability of blinatumomab to mediate responses or durable responses is likely due to the inability to recruit competent cytotoxic T cells or eventual T cell exhaustion. The current approach will mediate redirection of lenalidomide-mediated, activated, competent, cytotoxic T cells to the malignant CD19+ B cells. UC Davis protocol # PHI-79 (NCI protocol # 9924, Clinicaltrials.gov identifier NCT02568553) examines the relationship between blinatumomab-, or lenalidomide + blinatumomab-mediated T cell activation and response. The phase I portion of the study has been completed and demonstrated the combination was well tolerated with an encouraging ORR of 90% (Poh et al ASH 2019). We are seeking supplemental funds to conduct the ancillary studies associated with this trial, studies which are directly in line with the goals of the City of Hope and UC Davis Comprehensive Cancer Center UM1 grant. Using biospecimens collected from PHI-79, we aim to identify biomarkers for therapeutic response. Our team has extensive experience integrating omic data sets to develop multi-analyte classifiers (biomarkers) for clinical diagnostic tests and have developed computational tools to streamline these efforts. Our specific hypothesis is that composite biomarkers comprised of easily quantifiable immune response elements will be able to predict a patient?s ultimate responsiveness to therapy.

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