What the trial was testing
The trial enrolled 66 patients with lymphoma. The study was sponsored by MorphoSys and tracked outcomes across the full group of patients who matched the trial's eligibility profile.
It was an early-stage trial — researchers are still confirming safety and getting an early look at how well the treatment works. Trials at this stage are designed to produce evidence regulators and physicians can act on — not just observations to follow up later.
What the results showed
97% remained cancer-free at 2 years if tumor DNA was undetectable after treatment.
Journal of Clinical Oncology · 2025 · NCT04134936
These findings — that cancer-free at 2 years if circulating tumor DNA was undetectable at end of treatment — were published in the Journal of Clinical Oncology and represent the headline result of the study.
Researchers tracked outcomes across 66 patients enrolled in the trial. The result was consistent enough across the group that the team felt confident reporting it.
What this means for patients
For patients with lymphoma, this result changes the calculus on what to ask their care team about. Whether it changes day-to-day care depends on factors like disease subtype, prior treatments, and where the patient is in their care journey.
What you can do now
Ultra-sensitive tumor DNA (ctDNA) testing for lymphoma is increasingly available at major academic cancer centers and through some commercial labs. The PhasED-Seq method is FDA-cleared for some applications. Ask your hematologic oncologist about whether ctDNA testing is appropriate after treatment.
Eligibility for the treatments mentioned above depends on specific test results and clinical history. Bring this summary, the trial name, and your most recent labs or pathology report to your next visit.
Open lymphoma trials
Combined Immuno-chemotherapy for Patients With B-linear Acute Lymphoblastic Leukemia Diagnosed From 0 to 365 Days of Life (ALL-Baby-2021)
The innovation of this protocol is the risk-adapted choice of therapy and the use of a combination of chemotherapy with immunotherapy and hematopoietic stem cell transplantation for patients with risk factors. Investigators have proposed a two-stage stratification into risk groups: Initially: * Standard risk: patients with no rearrangement of the KMT2A gene. * Intermediate risk: patients with rearrangement of the KMT2A gene without damage to the central nervous system. * High risk: patients with rearrangement of the KMT2A gene with lesions of the central nervous system. According to the results of induction therapy: * The high-risk group includes patients from the standard risk group with an MRD level of more than 0.1% after the induction course and from the intermediate risk group with MRD-positive (PCR) after HR1 block. * The allocation of children in the first year of life without the rearranged KMT2A gene into a separate group seems to be logical, since the prognosis in this group is better than in children with the rearranged KMT2A gene. In this protocol, non-intensive therapy with consolidations and maintenance therapy remains for those who achieve a low MRD level (less than 0.1%) after a course of induction. The rest of the patients move into a high-risk group: they receive blinatumomab and HSCT. * The concept of therapy for patients at intermediate risk is based on the rate at which MRD-negativity is achieved: standard consolidation and maintenance therapy for those who became MRD-negative at the end of induction, "block" chemotherapy for those who were positive at the end of induction, but achieved negativity after HR1 block, blinatumomab with HSCT for those who have preserved the MRD after the HR1 block. * For high-risk patients, a combination of immunotherapy (blinatumomab - a bispecific CD3 / CD19 T-cell activator) and HSCT in the first remission was chosen.
A Non-interventional, International, Multicentre Clinical Research Study to Build the Largest Collection of Multimodal Data (Including Clinical Data, Imaging Data and Omics Data) in Oncology
Cancer is amongst the leading causes of disease-related morbidity and mortality. A major challenge in cancer treatment is the development of biology-informed, personalised treatment strategies. Recent advances in artificial intelligence (AI) and next-generation sequencing (NGS) technologies have shed further insights into disease biology and treatment pathways, thus identifying new, precision medicine-based therapeutic opportunities. The biological mechanisms leading to cancer development and progression arise from complex and plastic networks of dysregulated cellular programs involving many signalling pathways and effector molecules. Cancer cells alter their surrounding environment via cell-cell interactions with non-tumor cells or by secreting cytokines, chemokines and other factors. This reprogramming of the tumour microenvironment (TME) is critical for cancer progression, invasion, and metastasis. Moreover, there are increasing studies that show that both innate and adaptive immune cell types contribute to tumorigenesis and treatment resistance when present within the TME. Understanding the crosstalk between cancer cells and the surrounding TME will inform on mechanisms of sensitivity and resistance to treatment, including immunotherapy (IO) and targeted therapies. Spatially resolved-Omics is an emerging field that characterises cell types by gene/protein expressions within their spatial context in the tissue organisation. Recent high profile spatial transcriptomics studies have uncovered specific cell identities that define the surrounding TME. The MOSAIC study, a collaborative initiative across industry and top oncology hospitals, proposes to go way beyond current cancer molecular profiling projects by combining the generation and analysis of multiple data modalities (3 essential mandatory modalities: Clinical Data, Hematoxylin and Eosin (H\&E) microscopic image, Spatial transcriptomics; up to 3 high priority data modalities depending on technical feasibility and sample size: bulk Ribonucleic Acid Sequencing (RNAseq), bulk Whole Exome Sequencing (WES), Single-cell transcriptomics; and potentially other optional data modalities and follow-up experiments such as single-cell omics, immunohistochemistry and spatial proteomics or other molecular profiling of proteins and molecules) on a minimum of 2,000 tumour samples across a different cancer indications. This will generate broad molecular and cellular profiling data of the tumour and its microenvironment from cancer patients, integrated with clinical data, at an unprecedented scale and resolution. This study will enroll patients diagnosed with one of the eligible cancer indications and for which a formalin fixed paraffin embedded (FFPE) tumor sample from already performed biopsy and/or surgical resection is available within their local pathology archive or their affiliate centers archives. The MOSAIC study expects to have a strong impact for patients in terms of new targeted therapeutic drug discovery, identification of patient subgroups requiring either specific treatment or broader clinical care and identification of novel treatment response and resistance mechanisms.