ReviewImmunologic research2010
Strategies to enhance rituximab anti-tumor activity in the treatment of CD20-positive B-cell neoplasms.
Review in Immunologic research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 12 citations in OpenAlex.
- Oncolytic reovirus enhances rituximab-mediated antibody-dependent cellular cytotoxicity against chronic lymphocytic leukaemia.Leukemia · 2015Article
- The Effect of FcγRIIIA Gene Polymorphism on the Treatment of Diffuse Large B-cell Non-Hodgkin Lymphoma: A Multicenter Prospective Observational Study.Turkish journal of haematology : official journal of Turkish Society of Haematology · 2015Observational
- Toward personalized therapy for chronic lymphocytic leukemia: DSC and cDNA microarray assessment of two cases.Cancer biology & therapy · 2013Article
- Polymer-drug conjugates: origins, progress to date and future directions.Advanced drug delivery reviews · 2013Review
- Coiled-coil based drug-free macromolecular therapeutics: in vivo efficacy.Journal of controlled release : official journal of the Controlled Release Society · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rituximab is a chimeric monoclonal anti-CD20 antibody and was the first monoclonal antibody (mAb) therapy approved by FDA (Food and Drug Administration) for the treatment of B-cell lymphoma. It has revolutionized the treatment of patients with CD20-positive non-Hodgkin's lymphoma and CLL. Rituximab is currently being used in virtually all patients with B-cell lymphomas either alone or in combination with chemotherapy. Despite its excellent safety and efficacy profile, only a small portion of B-cell lymphoma patients treated with rituximab as a single agent have sustained complete remissions. Combining rituximab with standard chemotherapy regimens is associated with higher response rates, and improved survival in a subset of patients. Unfortunately, a significant percentage of patients who initially respond to rituximab eventually relapse, and there are patients that demonstrate intrinsic resistance to initial therapy. In the last decade, ongoing scientific research has led to a better understanding of rituximab-associated cytotoxic mechanisms against lymphoma target cells. Scientific efforts are increasingly being focused in developing new strategies to improve mAb activity. Various strategies include the following: combining rituximab with different biologic agents (e.g. cytokines, immunomodulatory drugs); developing novel antibody constructs (including bi-specific antibodies); and/or inhibiting signaling pathways associated with lymphomagenesis and immuno-chemotherapy resistance. In this review article, we will provide an overview of various rituximab-associated cytotoxic mechanisms and novel strategies to improve mAb activity against B-cell lymphoma.
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.