Publications

Publications

Next‑generation sequencing (NGS) detects presence of chimeric antigen receptor (CAR) T‑cell construct in a diffuse large B‑cell lymphoma patient with no response to CAR T‑cell therapy: a case report

Aishwarya Sridhar1 · Dylon Patel1 · Alexandra Della Pia2 · Tatyana A. Feldman2,3 · Lori A. Leslie2,3 · Andre H. Goy1,2 · Maher Albitar4 · Andrew Ip2,3Received: 27 June 2024 / Accepted: 19 November 2024© The Author(s) 2024 OPEN AbstractBackground CD19-directed chimeric antigen receptor

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cfDNA Chimerism and Somatic Mutation Testing in Early Prediction of Relapse After Allogeneic Stem
Publications

cfDNA Chimerism and Somatic Mutation Testing in Early Prediction of Relapse After Allogeneic Stem Cell Transplantationfor Myeloid Malignancies

The research addresses the challenge of disease relapse, a primary cause of treatment failure post-hematopoietic stem cell transplantation. By employing next-generation sequencing of cfDNA to monitor donor cell chimerism and minimal residual disease (MRD) early after transplantation, the study identifies patients at increased risk of relapse. This approach allows for potential early intervention with consolidation therapy, aiming to mitigate the risk of treatment failure.

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Innovation

ASH 24 Posters

GTC presented abstracts at ASH 2024 GTC’s posters from 2024 Convention of American Society of Hematology are now available to be downloaded. Please reach out

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ASCO 24 posters
Innovation

ASCO 24 Posters

GTC presented abstracts at ASCO 2024 GTC’s posters from 2024 Convention of American Society of Clinical Oncology are now available to be downloaded. Please reach

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Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Graft-versus-Host Disease and Overall Survival after Allogeneic Stem Cell Transplantation
Publications

Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Graft-versus-Host Disease and Overall Survival after Allogeneic Stem Cell Transplantation

Acute graft-versus-host disease (aGvHD) remains a major cause of morbidity and mortality after allogeneic hematopoietic stem cell transplantation (HSCT), occurring to some degree in over 50% of patients and being a direct cause of death in about 20% of patients. This complication occurs even despite a better understanding of donor selection and GvHD prophylaxis regimens. aGvHD is a complex event in which multiple contributing factors are involved. We performed RNA transcriptome analysis of 1408 genes in bone marrow samples obtained before and after transplantation using machine learning to predict the risk of aGvHD and post-transplant survival for a cohort of patients undergoing HSCT. Differential gene expression identified several signaling pathways in the bone marrow microenvironment that may be major regulators of the complex biology of GvHD, and identified targets of intervention to ameliorate the risk of aGvHD and improve patient survival.

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