Evidence map›Paper›PMID 40940960›Full record

ArticleCancers2025

Transcriptomic-Based Classification Identifies Prognostic Subtypes and Therapeutic Strategies in Soft Tissue Sarcomas.

Miguel Esperança-Martins, Hugo Vasques, Manuel Sokolov Ravasqueira, Maria Manuel Lemos, Filipa Fonseca, Diogo Coutinho, Jorge Antonio López, Richard S P Huang, Sérgio Dias, Lina Gallego-Paez and 4 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

14 authors.

Miguel Esperança-MartinsMedical Oncology Department, Unidade Local de Saúde de Santa Maria, 1649-028 Lisboa, Portugal.ORCID 0000-0002-6858-7341
Hugo VasquesFaculdade de Medicina da Universidade de Lisboa, Universidade de Lisboa, 1649-190 Lisboa, Portugal.
Manuel Sokolov RavasqueiraInstituto de Engenharia de Sistemas e Computadores-Investigação e Desenvolvimento (INESC-ID), 1000-029 Lisboa, Portugal.ORCID 0000-0002-2287-5786
Maria Manuel LemosPathology Department, Instituto Português de Oncologia de Lisboa Francisco Gentil, 1099-023 Lisboa, Portugal.
Filipa FonsecaGeneral Surgery Department, Instituto Português de Oncologia de Lisboa Francisco Gentil, 1099-023 Lisboa, Portugal.
Diogo CoutinhoGulbenkian Institute for Molecular Medicine, 1649-035 Lisboa, Portugal.ORCID 0000-0001-6413-7186
Jorge Antonio LópezF. Hoffmann-LaRoche AG, 4070 Basel, Switzerland.
Richard S P HuangFoundation Medicine Inc., Boston, MA 02141, USA.
Sérgio DiasMedical Oncology Department, Unidade Local de Saúde de Santa Maria, 1649-028 Lisboa, Portugal.
Lina Gallego-PaezGulbenkian Institute for Molecular Medicine, 1649-035 Lisboa, Portugal.
Luís CostaMedical Oncology Department, Unidade Local de Saúde de Santa Maria, 1649-028 Lisboa, Portugal.
Nuno AbecasisFaculdade de Medicina da Universidade de Lisboa, Universidade de Lisboa, 1649-190 Lisboa, Portugal.
Emanuel GonçalvesInstituto de Engenharia de Sistemas e Computadores-Investigação e Desenvolvimento (INESC-ID), 1000-029 Lisboa, Portugal.ORCID 0000-0002-9967-5205
Isabel FernandesMedical Oncology Department, Hospital CUF Descobertas, 1998-018 Lisboa, Portugal.ORCID 0000-0003-4032-7713

Funding

F.Hoffmann-LaRoche AG Not AttributedFoundation Medicine Inc. Not Attributed
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CINSARCconsensus clusteringDNA-seqprecision treatmentprognosisRNA-seqSARCULATORsoft tissue sarcomastherapeutic targetsunsupervised machine learning

Identifiers

PMID40940960
PMCPMC12427208

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.