ArticleNature communications2021
Therapeutic melanoma inhibition by local micelle-mediated cyclic nucleotide repression.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
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- Adenylate cyclase 4 suppresses malignant progression of lung adenocarcinoma through interaction with protein kinase C beta.Translational cancer research · 2026Article
- Comprehensive Analysis of the Predictive Value of Adenylate Cyclase 4 on Clinical Significance, Prognosis, and Immunotherapy in Human Cancers.Reproductive sciences (Thousand Oaks, Calif.) · 2026Article
- Advances in RNA-based cancer therapeutics: pre-clinical and clinical implications.Molecular cancer · 2025Review
- Advances in Materials Science for Precision Melanoma Therapy: Nanotechnology-Enhanced Drug Delivery Systems.Pharmaceutics · 2025Review
- Cordycepin Triphosphate as a Potential Modulator of Cellular Plasticity in Cancer via cAMP-Dependent Pathways: An In Silico Approach.International journal of molecular sciences · 2024Article
- cAMP-PKA/EPAC signaling and cancer: the interplay in tumor microenvironment.Journal of hematology & oncology · 2024Review
- Preparation of Nanosized Pharmaceutical Formulations by Dual Centrifugation.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients.Apoptosis : an international journal on programmed cell death · 2023Article
- Enhancing Skin Cancer Immunotheranostics and Precision Medicine through Functionalized Nanomodulators and Nanosensors: Recent Development and Prospects.International journal of molecular sciences · 2023Review
- Advancements in nanoparticle-based treatment approaches for skin cancer therapy.Molecular cancer · 2023Review
- CIMT 2022: Report on the 19th Annual Meeting of the Association for Cancer Immunotherapy.Human vaccines & immunotherapeutics · 2022Article
- Advanced nanocarrier- and microneedle-based transdermal drug delivery strategies for skin diseases treatment.Theranostics · 2022Review
- Targeting Adenylate Cyclase Family: New Concept of Targeted Cancer Therapy.Frontiers in oncology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The acidic tumor microenvironment in melanoma drives immune evasion by up-regulating cyclic adenosine monophosphate (cAMP) in tumor-infiltrating monocytes. Here we show that the release of non-toxic concentrations of an adenylate cyclase (AC) inhibitor from poly(sarcosine)-block-poly(L-glutamic acid γ-benzyl ester) (polypept(o)id) copolymer micelles restores antitumor immunity. In combination with selective, non-therapeutic regulatory T cell depletion, AC inhibitor micelles achieve a complete remission of established B16-F10-OVA tumors. Single-cell sequencing of melanoma-infiltrating immune cells shows that AC inhibitor micelles reduce the number of anti-inflammatory myeloid cells and checkpoint receptor expression on T cells. AC inhibitor micelles thus represent an immunotherapeutic measure to counteract melanoma immune escape.
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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.