Evidence map›Paper›PMID 39990278›Full record

ArticleCancer management and research2025

"Enhancing Liposarcoma Prognosis - A New Predictive Scoring System Integrating Histopathological Insights".

Ana-Maria Ciongariu, Dana Antonia Țăpoi, Adrian-Vasile Dumitru, Valentin Enache, Andrei Marin, Cosmin A Creangă, Mariana Costache

Abstract read
In one paragraph

Article in Cancer management and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Liposarcoma: State of the Art-A Scoping Review.Medical sciences (Basel, Switzerland) · 2026
    Article
  2. Magnetic Hydrogels as a Treatment for Oncological Pathologies.Journal of functional biomaterials · 2025
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ana-Maria CiongariuDepartment of Pathology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, 020021, Romania.
Dana Antonia ȚăpoiDepartment of Pathology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, 020021, Romania.
Adrian-Vasile DumitruDepartment of Pathology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, 020021, Romania.
Valentin EnacheDepartment of Pathology, Clinical Emergency Hospital BGucharest, Bucharest, 014461, Romania.
Andrei MarinDepartment of Plastic Surgery, "Carol Davila" University of Medicine and Pharmacy, Bucharest, 020021, Romania.ORCID 0000-0002-5188-696X
Cosmin A CreangăDepartment of Pathology, Clinical Emergency Hospital BGucharest, Bucharest, 014461, Romania.
Mariana CostacheDepartment of Pathology, "Carol Davila" University of Medicine and Pharmacy, Bucharest, 020021, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Liposarcomas are malignant soft tissue tumours with heterogeneous features and variable prognosis. Each entity comprised in this group displays distinct morphology and harbours specific genetic alterations, which correlate with clinical behaviour and therapy response. The aim of this study is to analyse the clinical and histopathological features that can influence the prognosis of liposarcoma. We also present a newly designed scoring system that could be useful for predicting the risk of disease progression and death in patients with different liposarcoma subtypes. Materials and Methods: We carried out a retrospective multicentric study on 77 liposarcomas diagnosed between 2009 and 2023 that were followed up to assess the presence of metastases and survival of the patients. We evaluated the age, gender, tumour location and dimensions, histological subtype, mitotic index, presence and percentage of necrosis, and their association with disease progression and survival. Results: In this respect, progression-free survival was positively associated with lower mitotic index, somatic soft-tissue localization, well-differentiated and myxoid subtypes and absence of necrosis. Overall survival was negatively influenced by older age, higher mitotic index, dedifferentiated and pleomorphic subtypes and the presence of necrosis. Therefore, several clinical and histopathological features of liposarcomas, such as tumour location, mitotic index, and tumour necrosis can strongly predict the disease evolution. Discussion: This study focuses on developing a new scoring system that considers histologic subtype, mitotic index, and tumour necrosis as indicators that could predict the risk of disease progression and overall survival in patients with liposarcoma. The system classifies liposarcomas of any histological subtype into low-risk and high-risk tumours. Diagnosing liposarcomas using this two-tiered system could be useful for providing personalized therapy, in order to avoid relapses, metastases and improve the disease's prognosis.

Indexed as

liposarcomanecrosisprognosissurvival

Identifiers

PMID39990278
PMCPMC11844267

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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.