ReviewExperimental hematology & oncology2024
Advances in nano-immunotherapy for hematological malignancies.
Review in Experimental hematology & oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
10 citing papers in PubMed.
- Trial
- Nanotechnology-enhanced CAR-T therapy strategies in cancer, aging, and autoimmune diseases.Journal of hematology & oncology · 2026Review
- LILRB3 inhibition reverses immunosuppression in glioma: a nanoparticle-based therapeutic strategy.Journal of nanobiotechnology · 2026Article
- Obstacles and improvement strategies for CAR-T cell therapy in solid tumors.Discover oncology · 2026Review
- Progress in targeted therapy for prostate cancer via cell surface proteins (Review).Biomedical reports · 2026Review
- Nanotechnology in leukemia therapy: revolutionizing targeted drug delivery and immune modulation.Clinical and experimental medicine · 2025Review
- Role of miRNA‑145‑5p in cancer (Review).Oncology reports · 2025Review
- A Cell Membrane-Coated Gold Nanoparticle-Based Drug Delivery System for Enhanced Antitumor Therapy in Breast Cancer.International journal of nanomedicine · 2025Article
- Gene Signature-Based Prognostic Model for Acute Myeloid Leukemia: The Role ofInternational journal of medical sciences · 2025Article
- Optimizing CAR-T cell therapy for solid tumors: current challenges and potential strategies.Journal of hematology & oncology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Hematological malignancies (HMs) encompass a diverse group of blood neoplasms with significant morbidity and mortality. Immunotherapy has emerged as a validated and crucial treatment modality for patients with HMs. Despite notable advancements having been made in understanding and implementing immunotherapy for HMs over the past decade, several challenges persist. These challenges include immune-related adverse effects, the precise biodistribution and elimination of therapeutic antigens in vivo, immune tolerance of tumors, and immune evasion by tumor cells within the tumor microenvironment (TME). Nanotechnology, with its capacity to manipulate material properties at the nanometer scale, has the potential to tackle these obstacles and revolutionize treatment outcomes by improving various aspects such as drug targeting and stability. The convergence of nanotechnology and immunotherapy has given rise to nano-immunotherapy, a specialized branch of anti-tumor therapy. Nanotechnology has found applications in chimeric antigen receptor T cell (CAR-T) therapy, cancer vaccines, immune checkpoint inhibitors, and other immunotherapeutic strategies for HMs. In this review, we delineate recent developments and discuss current challenges in the field of nano-immunotherapy for HMs, offering novel insights into the potential of nanotechnology-based therapeutic approaches for these diseases.
Indexed as
Identifiers
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.