ReviewCancers2024
Genetic, Epigenetic and Transcriptome Alterations in Liposarcoma for Target Therapy Selection.
Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 8 citations in OpenAlex.
- Pleomorphism in Soft Tissue Sarcomas: Molecular Characteristics and Clinical Features.Medical sciences (Basel, Switzerland) · 2026Review
- PPARγ suppresses the tumorigenesis of retroperitoneal liposarcoma via inactivation of the PI3K/AKT signaling pathway.Journal of translational medicine · 2026Article
- Transcriptomic Signatures Associated with Doxorubicin Treatment in Liposarcoma Reveal Coordinated Regulatory Patterns.Diseases (Basel, Switzerland) · 2026Article
- Liposarcoma: State of the Art-A Scoping Review.Medical sciences (Basel, Switzerland) · 2026Article
- Decoding Sarcoma Drug Resistance: From Molecular Mechanisms to Precision Interventions.Anti-cancer agents in medicinal chemistry · 2026Review
- Myxoid Liposarcoma of the Thigh in Early Puerperium-Rare Case Report and Narrative Review.Diseases (Basel, Switzerland) · 2025Article
- Article
- Deciphering the roles of non-coding RNAs in liposarcoma development: Challenges and opportunities for translational therapeutic advances.Non-coding RNA research · 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 at 3 institutions in 1 country.
Funding
Abstract
Liposarcoma (LPS) is one of the most common adult soft-tissue sarcomas (STS), characterized by a high diversity of histopathological features as well as to a lesser extent by a spectrum of molecular abnormalities. Current targeted therapies for STS do not include a wide range of drugs and surgical resection is the mainstay of treatment for localized disease in all subtypes, while many LPS patients initially present with or ultimately progress to advanced disease that is either unresectable, metastatic or both. The understanding of the molecular characteristics of liposarcoma subtypes is becoming an important option for the detection of new potential targets and development novel, biology-driven therapies for this disease. Innovative therapies have been introduced and they are currently part of preclinical and clinical studies. In this review, we provide an analysis of the molecular genetics of liposarcoma followed by a discussion of the specific epigenetic changes in these malignancies. Then, we summarize the peculiarities of the key signaling cascades involved in the pathogenesis of the disease and possible novel therapeutic approaches based on a better understanding of subtype-specific disease biology. Although heterogeneity in liposarcoma genetics and phenotype as well as the associated development of resistance to therapy make difficult the introduction of novel therapeutic targets into the clinic, recently a number of targeted therapy drugs were proposed for LPS treatment. The most promising results were shown for
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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.