ReviewCurrent oncology reports2009
Betting on immunotherapy for melanoma.
Review in Current oncology reports, 2009. 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.
- Blockade of MIF-CD74 Signalling on Macrophages and Dendritic Cells Restores the Antitumour Immune Response Against Metastatic Melanoma.Frontiers in immunology · 2018Article
- Germline determinants of clinical outcome of cutaneous melanoma.Pigment cell & melanoma research · 2016Review
- Enhancing dendritic cell immunotherapy for melanoma using a simple mathematical model.Theoretical biology & medical modelling · 2015Article
- Article
- Immune-mediated adverse events associated with ipilimumab ctla-4 blockade therapy: the underlying mechanisms and clinical management.Scientifica · 2013Review
- Predicting success or failure of immunotherapy for cancer: insights from a clinically applicable mathematical model.American journal of cancer research · 2012Article
- Ipilimumab, a promising immunotherapy with increased overall survival in metastatic melanoma?Dermatology research and practice · 2012Article
- Feasibility of immunotherapy for lymphangioleiomyomatosis.The American journal of pathology · 2009Review
- Novel gamma-chain cytokines as candidate immune modulators in immune therapies for cancer.Cancer journal (Sudbury, Mass.)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunotherapy is an effective treatment option for a small percentage of patients with advanced melanoma or at high risk for recurrence after resection of the primary tumor. However, a long period of unsuccessful immune modulation trials involving new cytokines, antibodies, cancer vaccines, adoptive immunotherapy, and combinations generated doubts that benefit could be extended to a larger group of patients. Renewed optimism for the therapeutic potential of immune therapy is currently driven by key advances in tumor immunobiology, including the potential to manipulate and disrupt immune activation checkpoints and tumor defense mechanisms; newer approaches to antigen presentation for immune activation; refinements to procedures for antigen-specific T-cell expansions in vitro and preparative regimens to support their expansion and activity in vivo; gene transfer to alter lymphocyte specificity and function; and the potential for discovery of improved predictive biomarkers to select patients for individual treatments. Proof of concept is provided by durable remissions observed in patients with advanced melanoma enrolled in clinical trials of anti-CTLA-4 and in new studies of adoptively transferred tumor antigen-specific lymphocytes combined with lymphocyte ablation conditioning regimens. Many agents now being developed are predicted to produce broader, more potent, and more effective antitumor immune responses.
Indexed as
Identifiers
19679015What 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.