ReviewFrontiers in immunology2018
Checkpoint Inhibition in Myeloma: Opportunities and Challenges.
Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 62 citations in OpenAlex.
- Clinical response and pathway-specific correlates following TIGIT-LAG3 blockade in myeloma: the MyCheckpoint randomized clinical trial.Nature cancer · 2024Trial
- Extracellular Vesicles as Master Regulators of Immune Modulation in Multiple Myeloma.International journal of molecular sciences · 2026Review
- Navigating the Therapeutic Landscape of Multiple Myeloma: Immunotherapy, Microenvironment, and Resistance.Biomedicines · 2026Review
- FAPαAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Microbiome modulation uncouples efficacy and toxicity induced by immune checkpoint blockade in mouse multiple myeloma.Nature communications · 2025Article
- Article
- Review
- Cell surface marker heterogeneity in human myeloma cell lines for modeling of disease and therapy.Scientific reports · 2024Article
- Advancements in microenvironment-based therapies: transforming the landscape of multiple myeloma treatment.Frontiers in oncology · 2024Review
- DNp73 enhances tumor progression and immune evasion in multiple myeloma by targeting the MYC and MYCN pathways.Frontiers in immunology · 2024Article
- Immune checkpoint expression patterns on T cell subsets in light-chain amyloidosis: VISTA, PD-1, and TIGIT as potential therapeutic targets.Blood science (Baltimore, Md.) · 2024Article
- The immune system in multiple myeloma and precursor states: Lessons and implications for immunotherapy and interception.American journal of hematology · 2023Review
- Allogeneic Anti-BCMA CAR T Cells Are Superior to Multiple Myeloma-derived CAR T Cells in Preclinical Studies and May Be Combined with Gamma Secretase Inhibitors.Cancer research communications · 2022Article
- Deciphering mechanisms of immune escape to inform immunotherapeutic strategies in multiple myeloma.Journal of hematology & oncology · 2022Review
- Checkpoint Inhibitors in Multiple Myeloma: Intriguing Potential and Unfulfilled Promises.Cancers · 2021Review
- Regulatory T-Cells and Multiple Myeloma: Implications in Tumor Immune Biology and Treatment.Journal of clinical medicine · 2021Review
- Is an Immunosuppressive Microenvironment a Characteristic of Both Intra- and Extraparenchymal Central Nervous Tumors?Pathophysiology : the official journal of the International Society for Pathophysiology · 2021Article
- Laboratory Mice - A Driving Force in Immunopathology and Immunotherapy Studies of Human Multiple Myeloma.Frontiers in immunology · 2021Review
- Co-evolution of Immune Response in Multiple Myeloma: Implications for Immune Prevention.Frontiers in immunology · 2021Review
- Expanded NK cells from umbilical cord blood and adult peripheral blood combined with daratumumab are effective against tumor cells from multiple myeloma patients.Oncoimmunology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Despite major improvements in the treatment landscape, most multiple myeloma (MM) patients eventually succumb to the underlying malignancy. Immunotherapy represents an attractive strategy to achieve durable remissions due to its specificity and capacity for long term memory. Activation of immune cells is controlled by a balance of agonistic and inhibitory signals via surface and intracellular receptors. Blockade of such inhibitory immune receptors (termed as "immune checkpoints") including PD-1/PD-L1 has led to impressive tumor regressions in several cancers. Preclinical studies suggest that these immune checkpoints may also play a role in regulating tumor immunity in MM. Indeed, myeloma was among the first tumors wherein therapeutic efficacy of blockade of PD-1 axis was demonstrated in preclinical models. Expression of PD-L1 on tumor and immune cells also correlates with the risk of malignant transformation. However, early clinical studies of single agent PD-1 blockade have not led to meaningful tumor regressions. Immune modulatory drugs (IMiDs) are now the mainstay of most MM therapies. Interestingly, the mechanism of immune activation by IMiDs also involves release of inhibitory checkpoints, such as Ikaros-mediated suppression of IL-2. Combination of PD-1 targeted agents with IMiDs led to promising clinical activity, including objective responses in some patients refractory to IMiD therapy. However, some of these studies were transiently halted in 2017 due to concern for a possible safety signal with IMiD-PD1 combination. The capacity of the immune system to control MM has been further reinforced by recent success of adoptive cell therapies, such as T cells redirected by chimeric-antigen receptors (CAR-Ts). There remains an unmet need to better understand the immunologic effects of checkpoint blockade, delineate mechanisms of resistance to these therapies and identify optimal combination of agonistic signaling, checkpoint inhibitors as well as other therapies including CAR-Ts, to realize the potential of the immune system to control and prevent MM.
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What OpenQuestion holds
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.