Assessment Of Treatment Response Research Articles

Asciminib in Advanced-Line Treatment of Chronic Myeloid Leukemia.

Asciminib, a novel allosteric BCR::ABL1 inhibitor, targets the ABL1 myristoyl pocket to potentially reduce toxicity and enhance efficacy. It is approved for Philadelphia chromosome-positive chronic-phase chronic myeloid leukemia (CML-CP) in patients with resistance or intolerance to two or more tyrosine kinase inhibitors (TKIs) or those with the T315I mutation. This retrospective analysis evaluated patients with CML treated with asciminib under a managed-access program across eight Israeli centers from July 2019 to August 2022. We assessed treatment responses, toxicities, event-free survival (EFS), and overall survival (OS) using Kaplan-Meier methods. The study included 30 patients who had received a median of three prior TKIs, with 73% starting asciminib due to intolerance. After a median follow-up of 7.1 months, 85% of those without prior complete cytogenetic response (CCyR) achieved CCyR, and 60% previously not in major molecular response (MMR) attained MMR. Resistance was rare (10%), with no cardiovascular events reported despite high baseline comorbidity (73%). Median EFS was 47 months; median OS was not reached. Asciminib demonstrates significant efficacy and tolerability in heavily pretreated patients with CML-CP, with no new cardiovascular events observed. Further long-term studies are necessary to explore its full cardiovascular impact.

LI-RADS radiation-based treatment response algorithm for HCC: what to know and how to use it.

Locoregional treatments (LRT) continue to advance for hepatocellular carcinoma (HCC). Selective internal radiation therapy (SIRT) or transarterial radioembolization (TARE) with radioactive 90 Yttrium (Y90) microspheres is currently widely accepted, and external beam and stereotactic body radiation (EBRT/SBRT) are increasingly used as LRT1-5. Assessment of treatment response after these radiation-based therapies can be challenging, given that the adjacent liver also undergoes treatment related changes, inflammatory changes occur, and there is a variable time for response to develop. In 2017, the liver imaging reporting and data system (LI-RADS) workgroup initially developed a single algorithm for the imaging assessment of treatment response encompassing all types of locoregional therapies, the LI-RADS treatment response (LR-TR) algorithm. Recognizing that response and imaging patterns differ between radiation and non-radiation based therapies, the LR-TR working group recently updated the algorithm to reflect the unique characteristics of tumor response for therapies involving radiation. This article aims to elucidate the changes in the new version of the LI-RADS TR, with a guide for algorithm utilization and illustration of expected and unexpected findings post liver directed therapies for HCC.

Positron Emission Tomography/Computed Tomography Imaging in Therapeutic Clinical Trials in Alzheimer's Disease: AnOverview of the Current State of the Artof Research.

The integration of positron emission tomography/computed tomography (PET/CT) has revolutionized the landscape of Alzheimer's disease (AD) research and therapeutic interventions. By combining structural and functional imaging, PET/CT provides a comprehensive understanding of disease pathology and response to treatment assessment. PET/CT, particularly with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (18F-FDG), facilitates the visualization of glucose metabolism in the brain, enabling early diagnosis, staging, and monitoring of neurodegenerative disease progression. The advent of amyloid and tau PET imaging has further propelled the field forward, offering invaluable tools for tracking pathological hallmarks, assessing treatment response, and predicting clinical outcomes. While some therapeutic interventions targeting amyloid plaque load showed promising results with the reduction of cerebral amyloid accumulation over time, others failed to demonstrate a significant impact of anti-amyloid agents for reducing the amyloid plaques burden in AD brains. Tau PET imaging has conversely fueled the advent of disease-modifying therapeutic strategies in AD by supporting the assessment of neurofibrillary tangles of tau pathology deposition over time. Looking ahead, PET imaging holds immense promise for studying additional targets such as neuroinflammation, cholinergic deficit, and synaptic dysfunction. Advances in radiotracer development, dedicated brain PET/CT scanners, and Artificial Intelligence-powered software are poised to enhance the quality, sensitivity, and diagnostic power of molecular neuroimaging. Consequently, PET/CT remains at the forefront of AD research, offering unparalleled opportunities for unravelling the complexities of the disease and advancing therapeutic interventions, although it is not yet enough alone to allow patients' recruitment in therapeutic clinical trials.

Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using 18F-FDG PET/CT Imaging: Contribution of Artificial Intelligence and Radiomics Analysis.

Lymphoma, encompassing a wide spectrum of immune system malignancies, presents significant complexities in its early detection, management, and prognosis assessment since it can mimic post-infectious/inflammatory diseases. The heterogeneous nature of lymphoma makes it challenging to definitively pinpoint valuable biomarkers for predicting tumor biology and selecting the most effective treatment strategies. Although molecular imaging modalities, such as positron emission tomography/computed tomography (PET/CT), specifically 18F-FDG PET/CT, hold significant importance in the diagnosis of lymphoma, prognostication, and assessment of treatment response, they still face significant challenges. Over the past few years, radiomics and artificial intelligence (AI) have surfaced as valuable tools for detecting subtle features within medical images that may not be easily discerned by visual assessment. The rapid expansion of AI and its application in medicine/radiomics is opening up new opportunities in the nuclear medicine field. Radiomics and AI capabilities seem to hold promise across various clinical scenarios related to lymphoma. Nevertheless, the need for more extensive prospective trials is evident to substantiate their reliability and standardize their applications. This review aims to provide a comprehensive perspective on the current literature regarding the application of AI and radiomics applied/extracted on/from 18F-FDG PET/CT in the management of lymphoma patients.

Long-term courses of major depressive disorder : Characteristics, risk factors and the definitional challenge of treatment response

The definition of long-term courses of depression is heterogeneous. Chronic and treatment-resistant courses, in particular, represent ahigh-cost factor and greatly reduce the quality of life. Based on the pharmacotherapeutic treatment-resistant depression (TRD), more and more systemic approaches are becoming important. This narrative review provides an overview of the long-term course of depressive disorders, including various definitions and influencing factors. In addition, an overview of biomarker research on treatment response with afocus on neuroimaging is presented. Aselective literature search was conducted in PubMed and Google Scholar for anarrative review. Particular attention was given to larger cohort studies, systematic reviews, meta-analyses and studies on the prediction of treatment response. Chronic and treatment-resistant courses mean arelevant reduction in the quality of life and increased health risks. The assessment of treatment response is adefinitional challenge: An alternative to TRD is the systemically oriented difficult to treat depression (DTD). The focus is thus moving away from symptom reduction towards controlling the level of functioning. Biomarker research for treatment response offers potential but currently mainly serves to gain theoretical knowledge. Recording the long-term course of depressive illnesses is important, but also complex. Clinical interventions should therefore include acontinuous monitoring and the focus on maintaining the quality of life.

Alzheimer's Disease: Exploring the Landscape of Cognitive Decline.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired daily functioning. The pathology of AD is marked by the accumulation of amyloid beta plaques and tau protein tangles in the brain, along with neuroinflammation and synaptic dysfunction. Genetic factors, such as mutations in APP, PSEN1, and PSEN2 genes, as well as the APOE ε4 allele, contribute to increased risk of acquiring AD. Currently available treatments provide symptomatic relief but do not halt disease progression. Research efforts are focused on developing disease-modifying therapies that target the underlying pathological mechanisms of AD. Advances in identification and validation of reliable biomarkers for AD hold great promise for enhancing early diagnosis, monitoring disease progression, and assessing treatment response in clinical practice in effort to alleviate the burden of this devastating disease. In this paper, we analyze data from the CAS Content Collection to summarize the research progress in Alzheimer's disease. We examine the publication landscape in effort to provide insights into current knowledge advances and developments. We also review the most discussed and emerging concepts and assess the strategies to combat the disease. We explore the genetic risk factors, pharmacological targets, and comorbid diseases. Finally, we inspect clinical applications of products against AD with their development pipelines and efforts for drug repurposing. The objective of this review is to provide a broad overview of the evolving landscape of current knowledge regarding AD, to outline challenges, and to evaluate growth opportunities to further efforts in combating the disease.

Distinct trajectories of treatment response to mepolizumab toward remission in patients with severe eosinophilic asthma.

Patients with severe eosinophilic asthma, characterised by a high disease burden, benefit from mepolizumab, which improves symptoms and reduces exacerbations, potentially leading to clinical remission in a subgroup. This study aimed to identify treatment response trajectories to mepolizumab for severe eosinophilic asthma and to assess the achievement of clinical remission.Data from the Australian Mepolizumab Registry were used to assess treatment responses at 3, 6, and 12 months. The treatment response trajectories were identified using a group-based trajectory model. The proportions achieving clinical remission at 12 months, which was defined as well-controlled symptoms, no exacerbations, and no oral corticosteroid (OCS) use for asthma management, were compared between trajectories, and baseline predictors of the trajectories were identified using logistic regression analysis.We identified three trajectory groups: group 1, responsive asthma with less OCS use (n=170); group 2, responsive late-onset asthma (n=58); and group 3, obstructed and less responsive asthma (n=70). Groups 1 and 2 demonstrated higher proportions achieving clinical remission at 36.5% and 25.9%, respectively, compared to group 3 with 5.7% (p <0.001). Baseline predictors for assigned groups included lower OCS dose in group 1; greater FEV1% predicted, higher Asthma Quality of Life Questionnaire score, higher OCS dose, and nasal polyps in group 2; with group 3 as the reference.Treatment response to mepolizumab in severe eosinophilic asthma follows 3 trajectories with varying proportions achieving clinical remission and differing baseline characteristics. Treatment response variability may influence the achievement of clinical remission with mepolizumab therapy.

Correlation of the treatment sensitivity of patient-derived organoids with treatment outcomes in patients with head and neck cancer (SOTO): protocol for a prospective observational study

IntroductionOrganoids have been successfully used in several areas of cancer research and large living biobanks of patient-derived organoids (PDOs) have been developed from various malignancies. The characteristics of the original...

Treatment of isolated pediatric optic nerve glioma: A nationwide retrospective cohort study and systematic literature review on visual and radiological outcome.

Progressive isolated optic nerve glioma (ONG) in children is a rare disease, treated with various modalities. A global treatment consensus is not available. We conducted a national retrospective multicenter cohort study (1995-2020) to investigate how different treatment strategies impact outcome for ONG in children, by assessing treatment responses to systemic anticancer therapy (SAT), surgery, and radiotherapy for ONG. The primary endpoints included changes in best-corrected visual acuity (BCVA) and tumor volume (TV) on MRI, both evaluated at the start and end of therapy and at long-term follow up. A total of 21 ONGs (20 patients) received SAT (n=14 (66.7%)), surgery (n=4 (19.0%)), and radiotherapy (n=3 (14.3%)). After SAT BCVA stabilized or improved in 66.6% (n=4) and the TV decreased by a median of 45.1% (range: -88.6% to +31.5%) (n=13). Before resection two eyes were already blind. After resection BCVA decreased to blindness in one eye. In total all four eyes were blind after resection. After first-line RT BCVA decreased in 66.7% of ONG to counting fingers or less, TV increased<3 months after RT by a median of 47.3% (range: -42.8% to +245.1%) (n=3), followed by a long-term decrease of 94.4 and 13.8% (n=2), respectively. SAT appears to be the preferred modality for progressive ONG in case of potential rescue of visual functions. Complete resection of ONG appears effective to reduce proptosis in case of preexisting blindness. The use of radiotherapy requires careful consideration due to the risk of severe visual impairment and secondary disease.

Associations between C-reactive protein and individual symptoms of depression in a lower-middle income country.

Data on associations between inflammation and depressive symptoms largely originate from high income population settings, despite the greatest disease burden in major depressive disorder being attributed to populations in lower-middle income countries (LMICs). We assessed the prevalence of low-grade inflammation in adults with treatment-resistant depression (TRD) in Pakistan, an LMIC, and investigated associations between peripheral C-reactive protein (CRP) levels and depressive symptoms. This is a secondary analysis of two randomised controlled trials investigating adjunctive immunomodulatory agents (minocycline and simvastatin) for Pakistani adults with TRD (n = 191). Logistic regression models were built to assess the relationship between pre-treatment CRP (≥ or <3 mg/L) and individual depressive symptoms measured using the Hamilton Depression Rating Scale. Descriptive statistics and regression were used to assess treatment response for inflammation-associated symptoms. High plasma CRP (≥3 mg/L) was detected in 87% (n = 146) of participants. Early night insomnia (odds ratio 2.33, 95% CI 1.16-5.25), early morning waking (odds ratio 2.65, 95% CI 1.29-6.38) and psychic anxiety (odds ratio 3.79, 95% CI 1.39-21.7) were positively associated, while gastrointestinal (odds ratio 0.38, 95% CI 0.14-0.86) and general somatic symptoms (odds ratio 0.34, 95% CI 0.14-0.74) were negatively associated with inflammation. Minocycline, but not simvastatin, improved symptoms positively associated with inflammation. The prevalence of inflammation in this LMIC sample with TRD was higher than that reported in high income countries. Insomnia and anxiety symptoms may represent possible targets for personalised treatment with immunomodulatory agents in people with elevated CRP. These findings require replication in independent clinical samples.

Impact of cannabis use on presentation and treatment response in eosinophilic esophagitis.

Cannabis use is becoming increasingly common, both for recreational and medical purposes. However, there is a paucity of data regarding cannabis use in the context of eosinophilic esophagitis (EoE). We aimed to determine the impact of cannabis use on presentation and treatment response in EoE. To this end, we conducted a retrospective cohort study at a large academic medical center of newly diagnosed EoE patients age ≥ 12years. Self-reported cannabis use status, baseline characteristics, and treatment response to topical corticosteroids and dietary therapy data were extracted. Bivariate and multivariable analyses were used to compare cannabis users and non-users at time of EoE diagnosis and to assess treatment response. Of 983 EoE patients, 80 reported using cannabis, with the majority reporting daily use and administration by inhalation. Baseline symptoms and peak eosinophil count were similar between cannabis users and non-users; cannabis users were less likely to have baseline endoscopic findings of exudates, edema, and stricture, and lower total Endoscopic Reference Score. On multivariable analysis, younger age, male sex, non-White race, and psychiatric diagnosis were independently associated with history of cannabis use at EoE presentation and stricture was independently associated with cannabis non-use. Post-treatment symptom and histologic responses were similar between cannabis users and non-users though there was a higher odds of post-treatment endoscopic inflammatory features with cannabis use. In conclusion, despite presenting with milder initial endoscopic findings, cannabis users exhibited greater inflammatory findings after treatment, highlighting a potential negative influence of cannabis use on EoE management.

Exploring the protein signature of endometrial cancer: A comprehensive review through diverse samples and mass spectrometry-based proteomics

Endometrial cancer (EC) is increasing incidence among women, and it constitutes a health problem for women globally. An important aspect of EC management involves the use of protein biomarkers for early detection and monitoring. Protein biomarkers allow the identification of high-risk patients, the detection of the disease in its early stages, and the assessment of treatment responses. Mass spectrometry (MS)-based proteomics offers robust analytical techniques and a comprehensive understanding of proteins. Proteomics methods allow scientists to investigate both the quantities and functions of proteins. Thus, it provides valuable insights into how proteins are altered under different conditions. This review summarizes recent advances in MS-based proteomic biomarker discovery for EC, focusing on different sample types and MS-based techniques used in clinical studies. The review emphasized in detail the most commonly used key sources such as blood, urine, vaginal fluids and tissue. Furthermore, MS-based proteomics techniques such as untargeted, targeted, sequential window acquisition of all theoretical mass spectra (SWATH-MS) and mass spectrometry imaging used in the discovery and validation/validation phases were evaluated. This review highlights the importance of biomarker discovery and clinical translation to improve diagnostic and therapeutic outcomes in EC. It aims to provide a comprehensive overview of MS-based proteomics in EC, guiding future research and clinical applications.

Quantitative MRI in children with Crohn's disease - where do we stand?

Crohn's disease (CD) is a chronic inflammatory condition that affects the gastrointestinal tract, particularly the ileum and colon. This disease is characterized by recurrent bouts of intestinal inflammation with subsequent bowel wall damage, including scarring (i.e., fibrosis) and abnormal smooth muscle proliferation. MR enterography, an MRI examination tailored to assess the small bowel, is a first-line diagnostic tool for diagnosing CD in children, characterization and monitoring of disease severity and extent, and assessment of disease-related complications. To date, such MRI evaluations have been mostly qualitative, which can adversely impact diagnostic performance and inter-radiologist agreement. Quantitative MRI methods have been shown to aid in the evaluation of a variety of medical conditions and have been increasingly investigated in children and adults with CD. In CD, such objective techniques have been used to assist with diagnosis, assess treatment response, and characterize bowel wall histologic abnormalities. In the current work, we will review quantitative MRI methods for detecting and measuring intestinal active inflammation (MRI-based scoring systems, T1 relaxation mapping, diffusion-weighted imaging, intra-voxel incoherent motion, mesenteric phase contrast), bowel wall damage (magnetization transfer), and motility (quantitative cine imaging) in small bowel CD, with an emphasis on the pediatric population.

Comparison of RECIST 1.1, mRECIST and PERCIST for assessment of peptide receptor radionuclide therapy treatment response in metastatic neuroendocrine tumors

PurposeTo compare RECIST 1.1, modified RECIST (mRECIST) and PERCIST for assessment of Peptide Receptor Radionuclide Therapy (PRRT) treatment response in metastatic neuroendocrine tumors. MaterialsIn this IRB-approved, HIPAA compliant retrospective study, patients treated with PRRT between July 2019 and Dec 2022 were identified. Inclusion criteria were presence of at least one pre-and one post-treatment imaging (CT, MRI, Ga 68 or Cu64 DOTATATE PET/CT) within one year of the start and end of PRRT respectively. The imaging was reviewed independently by two radiologists using RECIST 1.1, modified RECIST (mRECIST) and PERCIST criteria. Response of first post treatment scan and presence of disease progression during follow-up were recorded along with the date of best response and disease progression. Statistical analysis was performed to determine inter-reader agreement and agreement between the various response criteria using kappa statistics. ResultsBest response by RECIST 1.1 was recorded in 26 patients (PR-7, SD- 13, PD- 6), by mRECIST in 22 patients (PR-7, SD- 10, PD- 5), by PERCIST in 14 patients (PR-4, SD- 3, PD- 7). Inter-reader agreement was highest for PERCIST (weighted kappa 0.921, standard error 0.078 95% CI 0.769 to 1.000) followed by RECIST 1.1 (weighted kappa 0.897, standard error 0.071 95% CI 0.758 to 1.000) and mRECIST (weighted kappa 0.883, standard error 0.079 95% CI 0.727 to 1.000).

Performance of Elecsys® HCV Duo Immunoassay for Diagnosis and Assessment of Treatment Response in HCV Patients with or without HIV Infection

Background/Objectives: The Elecsys® HCV Duo immunoassay (Roche Diagnostics International Ltd., Rotkreuz, Switzerland) detects both antibodies to hepatitis C virus (anti-HCV) and HCV core antigen (HCV-Ag) and has shown excellent diagnostic performance in blood donor samples. We aim to validate its use for diagnosing chronic HCV infection and assessing sustained virological response (SVR) post-direct-acting antivirals (DAAs) in patients with or without HIV infection. Methods: Blood samples from 100 healthy controls, as well as 64 HCV mono-infection and 136 HCV-HIV coinfections, were collected before and 12–24 weeks after DAAs. The assay performance for determining active infection at baseline and SVR was compared with HCV RNA. Results: Overall, 156 (78.0%) of HCV-infected patients had HCV genotype 1, and the SVR rate was 96.5%. The sensitivity, specificity, and area under the ROC curve (AUROC) for HCV diagnosis at baseline were 99.50% (95% confidence interval [CI], 96.82–99.97%), 100% (95%CI, 95.39–100%), and 0.998 (95%CI, 0.992–1.003), respectively. The corresponding results for HCV-Ag in determining SVR were 57.14% (95%CI, 20.24–88.19%), 97.41% (95%CI, 93.73–99.04%), and 0.773 (95%CI, 0.543–1.003), respectively. The assay also exhibited comparable sensitivity and specificity between HCV mono- and coinfection. Conclusions: Our study showed that the Elecsys® HCV Duo immunoassay effectively diagnosed HCV infection, regardless of HIV status, making it suitable for managing high-risk populations in resource-limited settings.

Advancements and Challenges in Biomarkers for Colorectal Cancer Detection: A Comprehensive Review

This study provides an overview of the current landscape of biomarkers for colorectal cancer (CRC) detection, focusing on genetic, proteomic, circulating microRNA (miRNA), and metabolomic biomarkers. CRC remains a significant global health challenge, ranking among the most prevalent cancers worldwide and being a leading cause of cancer-related deaths. Despite advancements in screening methods such as colonoscopy, sigmoidoscopy, and fecal occult blood tests (FOBT), the asymptomatic nature of early-stage CRC often results in late diagnoses, negatively impacting patient outcomes. Genetic biomarkers like APC, KRAS, TP53, and microsatellite instability (MSI) play critical roles in CRC pathogenesis and progression. These biomarkers, detectable through polymerase chain reaction, next-generation sequencing, and other advanced techniques, guide early detection and personalized treatment decisions. Proteomic biomarkers such as CEA, CA 19-9, and novel signatures offer insights into CRC’s physiological changes and disease status, aiding prognosis and treatment response assessments through enzyme-linked immunosorbent assay and mass spectrometry. Circulating miRNAs, including miR-21 and miR-92a, present promising non-invasive biomarkers that can be detected in blood and stool samples, reflecting CRC presence, progression, and therapeutic response. Metabolomic biomarkers, encompassing amino acids, lipids, and TCA cycle intermediates, provide further insights into CRC-associated metabolic alterations, which are crucial for early detection and treatment monitoring using mass spectrometry and nuclear magnetic resonance. Despite these advancements, challenges such as biomarker validation, standardization, and clinical utility remain. Future research directions include integrating multi-omics approaches and leveraging technologies like liquid biopsies and AI for enhanced biomarker discovery and clinical application. By addressing these challenges and advancing research in biomarker development, CRC screening and management could potentially be revolutionized, improving patient outcomes and reducing the global burden of this disease.

Beyond visualizing the bird beak: esophagram, timed barium esophagram and manometry in achalasia and its 3 subtypes.

Achalasia is a rare esophageal motility disorder characterized by lack of primary peristalsis and a poorly relaxing lower esophageal sphincter. This disease process can be examined several ways and these evaluations can offer complementary information. There are three manometric subtypes of achalasia, with differing appearances on esophagram. Differentiating them is clinically important, because treatment for the subtypes varies. Timed barium esophagram (TBE) is a simple test to quantitatively evaluate esophageal emptying. TBE can be used to diagnose achalasia and assess treatment response. Considerable variation in the TBE protocol exist in the literature. We propose a standardized approach for TBE to allow for comparison across institutions.

18F]FDG PET/CT Integration in Evaluating Immunotherapy for Lung Cancer: A Clinician's Practical Approach.

The advent of immune checkpoint inhibitors (ICIs) has revolutionized the treatment paradigm of lung cancer, resulting in notable enhancements in patient survival. Nevertheless, evaluating treatment response in patients undergoing immunotherapy poses distinct challenges due to unconventional response patterns like pseudoprogressive disease (PPD), dissociated response (DR), and hyperprogressive disease (HPD). Conventional response criteria such as the RECIST 1.1 may not adequately address these complexities. To tackle this issue, novel response criteria such as the iRECIST and imRECIST have been proposed, enabling a more comprehensive assessment of treatment response by incorporating additional scans and considering the best overall response even after radiologic progressive disease evaluation. Additionally, [18F]FDG PET/CT imaging has emerged as a valuable modality for evaluating treatment response, with various metabolic response criteria such as the PERCIMT, imPERCIST, and iPERCIST developed to overcome the limitations of traditional criteria, particularly in detecting pseudoprogression. A multidisciplinary approach involving oncologists, radiologists, and nuclear medicine specialists is crucial for effectively navigating these complexities and enhancing patient outcomes in the era of immunotherapy for lung cancer. In this review, we delineate the key components of these guidelines, summarizing essential aspects for radiologists and nuclear medicine physicians. Furthermore, we provide insights into how imaging can guide the management of individual lung cancer patients in real-world multidisciplinary settings.

Measurable residual disease by mass spectrometry and next-generation flow to assess treatment response in myeloma

AbstractQuantitative immunoprecipitation mass spectrometry (QIP-MS) allows the identification of the M-protein in patients with multiple myeloma (MM) otherwise in complete response, and could be considered suitable for measurable residual disease (MRD) evaluation in peripheral blood. In the context of the GEM2012MENOS65 and GEM2014MAIN trials, we compared the performance of QIP-MS in serum with next-generation flow (NGF) cytometry in bone marrow to assess MRD in paired samples obtained postinduction, transplant, consolidation and after 24 cycles of maintenance. At each time point, both NGF and QIP-MS were able to segregate 2 groups of patients with significantly different progression-free survival; when the evolution of the results obtained with either method was considered, maintaining or converting to MRD negativity was associated with longer survival, significantly better when compared with sustaining or converting to MRD positivity. Reemergence of MRD by QIP-MS was associated with high risk of imminent clinical progression. In conclusion, MRD evaluation by NGF and MS achieves similar prognostic value based in single time point assessments and kinetics. Thus, the minimally invasive nature of MRD monitoring by MS represents a breakthrough in highly sensitive response assessment in MM. The trials were registered at www.clinicaltrials.gov as #NCT01916252 (GEM2012MENOS65) and at EudraCT as #2012-005683-10; and as #NCT02406144 (GEM2014MAIN) and at EudraCT as 2014-00055410.

Development of an antigen-based approach to noninvasively image CAR T cells in real time and as a predictive tool.

CAR T cell therapy has revolutionized the treatment of a spectrum of blood-related malignancies. However, treatment responses vary among cancer types and patients. Accurate monitoring of CAR T cell dynamics is crucial for understanding and evaluating treatment efficacy. Positron emission tomography (PET) offers a comprehensive view of CAR T cell homing, especially in critical organs such as lymphoid structures and bone marrow. This information will help assess treatment response and predict relapse risk. Current PET imaging methods for CAR T require genetic modifications, limiting clinical use. To overcome this, we developed an antigen-based imaging approach enabling whole-body CAR T cell imaging. The probe detects CAR T cells in vivo without affecting their function. In an immunocompetent B cell leukemia model, CAR-PET signal in the spleen predicted early mortality risk. The antigen-based CAR-PET approach allows assessment of CAR T therapy responses without altering established clinical protocols. It seamlessly integrates with FDA-approved and future CAR T cell generations, facilitating broader clinical application.