Evidence map›Paper›PMID 37958307›Full record

ReviewCancers2023

Modeling Myxofibrosarcoma: Where Do We Stand and What Is Missing?

Enrico Lucarelli, Alessandro De Vita, Chiara Bellotti, Tommaso Frisoni, Silvia Vanni, Ania Naila Guerrieri, Micaela Pannella, Laura Mercatali, Marco Gambarotti, Serena Duchi and 4 more

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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.

Enrico LucarelliOsteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0002-6681-6374
Alessandro De VitaPreclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-1677-5797
Chiara BellottiOsteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0001-9900-7357
Tommaso FrisoniUnit of 3rd Orthopaedic and Traumatologic Clinic Prevalently Oncologic, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0001-6109-3202
Silvia VanniPreclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0003-1192-7322
Ania Naila GuerrieriOsteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0002-2163-6476
Micaela PannellaOsteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.
Laura MercataliOsteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.
Marco GambarottiDepartment of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0002-8080-4484
Serena DuchiDepartment of Surgery-ACMD, St. Vincent's Hospital Melbourne, University of Melbourne, Melbourne, VIC 3065, Australia.
Giacomo MiserocchiPreclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0001-6618-1981
Margherita MaioliDepartment of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.
Chiara LiveraniPreclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.
Toni IbrahimOsteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0003-0259-4167

Funding

the European Union - Next Generation EU - NRRP M6C2 - Invest-ment 2.1 Enhancement and strengthening of biomedical research in the NHS - pro-ject PNRR-POC-2022-12376579 D33C22001940006
6 · The paper itself

Abstract

Myxofibrosarcoma (MFS) is a malignant soft tissue sarcoma (STS) that originates in the body's connective tissues. It is characterized by the presence of myxoid (gel-like) and fibrous components and typically affects patients after the fifth decade of life. Considering the ongoing trend of increasing lifespans across many nations, MFS is likely to become the most common musculoskeletal sarcoma in the future. Although MFS patients have a lower risk of developing distant metastases compared with other STS cases, MFS is characterized by a high frequency of local recurrence. Notably, in 40-60% of the patients where the tumor recurs, it does so multiple times. Consequently, patients may undergo multiple local surgeries, removing the risk of potential amputation. Furthermore, because the tumor relapses generally have a higher grade, they exhibit a decreased response to radio and chemotherapy and an increased tendency to form metastases. Thus, a better understanding of MFS is required, and improved therapeutic options must be developed. Historically, preclinical models for other types of tumors have been instrumental in obtaining a better understanding of tumor development and in testing new therapeutic approaches. However, few MFS models are currently available. In this review, we will describe the MFS models available and will provide insights into the advantages and constraints of each model.

Indexed as

cell linesdisease modelsin vitroin vivo and ex vivo modelsmusculoskeletal tissuesmyxofibrosarcomapatient-derived cell linesrare tumorssarcomasoft-tissue tumorstumor models

Identifiers

PMID37958307
PMCPMC10650645

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.