ReviewDiscover oncology2024
Revolutionizing cancer treatment: the rise of personalized immunotherapies.
Review in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- The GUIDE-CDSS framework: a comprehensive framework to GUIDE and evaluate the implementation of Clinical Decision Support Systems in healthcare, based on an overview of reviews.Journal of the American Medical Informatics Association : JAMIA · 2026Review
- Overcoming tumour resistance in cancer immunotherapy through predictive and pharmacodynamic biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Updated evidence on the accuracy ofQuantitative imaging in medicine and surgery · 2026Review
- Rapid assessment of immune effector cell-mediated cytotoxicity using mRNA lipid nanoparticles.Frontiers in immunology · 2026Article
- Cancer Vaccines: Molecular Mechanisms, Clinical Progress, and Combination Immunotherapies with a Focus on Hepatocellular Carcinoma.Current issues in molecular biology · 2025Review
- Redefining Chemoresistance: Natural Bioactives as Molecular Modulators at the Cancer-Tumor Microenvironment Interface.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interest in biological therapy for cancer has surged due to its precise targeting of cancer cells and minimized impact on surrounding healthy tissues. This review discusses various biological cancer therapies, highlighting advanced alternatives over conventional chemotherapy alone. It explores DNA and RNA-based vaccines, T-cell modifications, adoptive cell transfer, CAR T cell therapy, angiogenesis inhibitors, and the combination of immunotherapy with chemotherapy, offering a holistic view of the potential in cancer treatment. Additionally, it discusses the role of nanotechnology in increasing the efficacy of cancer-targeting drugs, as well as cytokine and immunoconjugate therapies for bolstering immune system effectiveness against neoplastic cells. The potential of gene potential for precise targeting of cancer-linked genes and the application of oncolytic viruses against virus-associated cancers are also discussed. The review identifies significant advancements in the targeted treatment of cancer by biological methods. It acknowledges the challenges, including drug resistance and the need for high specificity in certain therapies, while also highlighting the effectiveness of cancer vaccines, modified T-cells, and oncolytic viruses. Biological therapies are a promising frontier in cancer treatment, offering the potential for more personalized and effective therapeutic strategies. Despite existing challenges, ongoing research and clinical trials are fundamental for overcoming current limitations and enhancing the efficacy of biological therapies in cancer care.
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.