ReviewBlood advances2024
Immune status and selection of patients for immunotherapy in myeloma: a proposal.
Review in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Spatial transcriptomics identifies a suppressive, T-cell-excluded tumor microenvironment in extramedullary myeloma.Blood advances · 2026Article
- Understanding and addressing resistance to IMiDs immunomodulatory compounds in multiple myeloma.The FEBS journal · 2026Review
- CD8Blood neoplasia · 2026Article
- RNA-Based Therapeutic Strategies in Multiple Myeloma: From Molecular Targets to Delivery and Clinical Translation.International journal of molecular sciences · 2026Review
- Emerging precision medicine in multiple myeloma: clinical and preclinical landscape of T cell, natural killer cell, and macrophages engaging multi-specific antibodies.Frontiers in immunology · 2026Review
- Review
- Estimation of biological aging based on T-cell differentiation trajectories: emerging and future avenues.Frontiers in aging · 2025Article
- Bispecific Antibodies and CAR T in Multiple Myeloma: Appropriate Selection of Patients and Sequencing.Mediterranean journal of hematology and infectious diseases · 2025Review
- AI-assisted peripheral immune profiling reveals unconventional lymphocyte signatures associated with prognosis in soft tissue sarcoma patients.Frontiers in immunology · 2025Article
- New horizons in our understanding of precursor multiple myeloma and early interception.Nature reviews. Cancer · 2024Review
- Understanding CAR-T therapy in myeloma: 1 cell at a time.Blood advances · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
abstractNewer immune-based approaches based on recruitment and redirection of endogenous and/or synthetic immunity such as chimeric antigen receptor T cells or bispecific antibodies are transforming the clinical management of multiple myeloma (MM). Contributions of the immune system to the antitumor effects of myeloma therapies are also increasingly appreciated. Clinical malignancy in MM originates in the setting of systemic immune alterations that begin early in myelomagenesis and regional changes in immunity affected by spatial contexture. Preexisting and therapy-induced changes in immune cells correlate with outcomes in patients with MM including after immune therapies. Here, we discuss insights from and limitations of available data about immune status and outcomes after immune therapies in patients with MM. Preexisting variation in systemic and/or regional immunity is emerging as a major determinant of the efficacy of current immune therapies as well as vaccines. However, MM is a multifocal malignancy. As with solid tumors, integrating spatial aspects of the tumor and consideration of immune targets with the biology of immune cells may be critical to optimizing the application of immune therapy, including T-cell redirection, in MM. We propose 5 distinct spatial immune types of MM that may provide an initial framework for the optimal application of specific immune therapies in MM: immune depleted, immune permissive, immune excluded, immune suppressed, and immune resistant. Such considerations may also help optimize rational patient selection for emerging immune therapies to improve outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.