ReviewMedical oncology (Northwood, London, England)2023
Recent advancement in targeted therapy and role of emerging technologies to treat cancer.
Review in Medical oncology (Northwood, London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 16 citations in OpenAlex.
- Research advances in the application of betulinic acid for anti-inflammatory and anti-tumour therapy.Chinese medicine · 2026Review
- Structural and mechanistic insights into α2β1 and α5β1 integrin targeting by bioengineered extracellular vesicles originating from lung cancer cells.Scientific reports · 2026Article
- Molecular Targeting of EGFR, BRAF, and HER2 Signaling in Colorectal Cancer: Contemporary Advances with Panitumumab, Encorafenib, and Tucatinib.Journal of clinical medicine · 2026Review
- On the origins of childhood cancer.Cancer metastasis reviews · 2026Article
- Personalized Lifestyle Interventions for Prevention and Treatment of Obesity-Related Cancers: A Call to Action.Cancers · 2025Article
- Recent Advances in Smart Linkage Strategies for Developing Drug Conjugates for Targeted Delivery.Topics in current chemistry (Cham) · 2025Review
- Exclusion of PD-1 from the immune synapse: A novel strategy to modulate T cell function.Molecular therapy. Oncology · 2024Article
- [Staging and systemic treatment of ocular and periocular metastases].Die Ophthalmologie · 2024Review
- Better, Faster, Stronger: Accelerating mRNA-Based Immunotherapies With Nanocarriers.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is a complex disease that causes abnormal cell growth and spread. DNA mutations, chemical or environmental exposure, viral infections, chronic inflammation, hormone abnormalities, etc., are underlying factors that can cause cancer. Drug resistance and toxicity complicate cancer treatment. Additionally, the variability of cancer makes it difficult to establish universal treatment guidelines. Next-generation sequencing has made genetic testing inexpensive. This uncovers genetic mutations that can be treated with specialty drugs. AI (artificial intelligence), machine learning, biopsy, next-generation sequencing, and digital pathology provide personalized cancer treatment. This allows for patient-specific biological targets and cancer treatment. Monoclonal antibodies, CAR-T, and cancer vaccines are promising cancer treatments. Recent trial data incorporating these therapies have shown superiority in clinical outcomes and drug tolerability over conventional chemotherapies. Combinations of these therapies with new technology can change cancer treatment and help many. This review discusses the development and challenges of targeted therapies like monoclonal antibodies (mAbs), bispecific antibodies (BsAbs), bispecific T cell engagers (BiTEs), dual variable domain (DVD) antibodies, CAR-T therapy, cancer vaccines, oncolytic viruses, lipid nanoparticle-based mRNA cancer vaccines, and their clinical outcomes in various cancers. We will also study how artificial intelligence and machine learning help find new cancer treatment targets.
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.