ArticleOncotarget2015
Genomic landscape of liposarcoma.
Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 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
81 citing papers in PubMed, 123 citations in OpenAlex.
- Molecular mechanisms underlying liposarcoma subtype transition and proteasome-associated targeted interventions.Journal of translational medicine · 2026Review
- Decoding the Hexosamine Biosynthesis Pathway: Implications for Novel Therapeutic Strategies in Sarcoma.Journal of cellular physiology · 2026Review
- RNA-based next-generation sequencing strategy for screening MDM2-amplified sarcomas.Scientific reports · 2026Article
- Spatially-resolved single cell atlas of liposarcoma reveals lineage hierarchies, immune niches, and regulatory circuits.bioRxiv : the preprint server for biology · 2026Article
- Burden and unmet needs of liposarcoma in the United States: Patient perspectives on the liposarcoma diagnostic journey.Rare tumors · 2026Article
- Integrative genomic and immune landscape analysis of intimal sarcomas for emerging therapeutic targets and immunotherapy strategies.Frontiers in immunology · 2026Article
- Potential Mechanisms for Immunotherapy Resistance in Adult Soft-Tissue Sarcoma.Targeted oncology · 2025Review
- A Nanostring gene expression approach identifies aggressive clinical behavior related genes in dedifferentiated liposarcoma.Scientific reports · 2025Article
- Challenges and hope: latest research trends in the clinical treatment and prognosis of liposarcoma.Frontiers in pharmacology · 2025Review
- Pharmacoproteogenomic approach identifies on-target kinase inhibitors for cancer drug repositioning.In vitro cellular & developmental biology. Animal · 2024Article
- Cellular origin and clonal evolution of human dedifferentiated liposarcoma.Nature communications · 2024Article
- Comprehensive Analysis of a Six-Gene Signature Predicting Survival and Immune Infiltration of Liposarcoma Patients and Deciphering Its Therapeutic Significance.International journal of molecular sciences · 2024Article
- An overview on liposarcoma subtypes: Genetic alterations and recent advances in therapeutic strategies.Journal of molecular histology · 2024Review
- HER3 (ERBB3) amplification in liposarcoma - a putative new therapeutic target?World journal of surgical oncology · 2024Article
- Dedifferentiated liposarcoma of the spermatic cord.BMJ case reports · 2024Article
- Review
- Therapy-Induced Senescence Contributes to the Efficacy of Abemaciclib in Patients with Dedifferentiated Liposarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- The Role of Rab GTPases in the development of genetic and malignant diseases.Molecular and cellular biochemistry · 2024Review
- Genetic, Epigenetic and Transcriptome Alterations in Liposarcoma for Target Therapy Selection.Cancers · 2024Review
- Targeting liposarcoma: unveiling molecular pathways and therapeutic opportunities.Frontiers in oncology · 2024Review
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
28 authors at 11 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liposarcoma (LPS) is the most common type of soft tissue sarcoma accounting for 20% of all adult sarcomas. Due to absence of clinically effective treatment options in inoperable situations and resistance to chemotherapeutics, a critical need exists to identify novel therapeutic targets. We analyzed LPS genomic landscape using SNP arrays, whole exome sequencing and targeted exome sequencing to uncover the genomic information for development of specific anti-cancer targets. SNP array analysis indicated known amplified genes (MDM2, CDK4, HMGA2) and important novel genes (UAP1, MIR557, LAMA4, CPM, IGF2, ERBB3, IGF1R). Carboxypeptidase M (CPM), recurrently amplified gene in well-differentiated/de-differentiated LPS was noted as a putative oncogene involved in the EGFR pathway. Notable deletions were found at chromosome 1p (RUNX3, ARID1A), chromosome 11q (ATM, CHEK1) and chromosome 13q14.2 (MIR15A, MIR16-1). Significantly and recurrently mutated genes (false discovery rate < 0.05) included PLEC (27%), MXRA5 (21%), FAT3 (24%), NF1 (20%), MDC1 (10%), TP53 (7%) and CHEK2 (6%). Further, in vitro and in vivo functional studies provided evidence for the tumor suppressor role for Neurofibromin 1 (NF1) gene in different subtypes of LPS. Pathway analysis of recurrent mutations demonstrated signaling through MAPK, JAK-STAT, Wnt, ErbB, axon guidance, apoptosis, DNA damage repair and cell cycle pathways were involved in liposarcomagenesis. Interestingly, we also found mutational and copy number heterogeneity within a primary LPS tumor signifying the importance of multi-region sequencing for cancer-genome guided therapy. In summary, these findings provide insight into the genomic complexity of LPS and highlight potential druggable pathways for targeted therapeutic approach.
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.