Evidence map›Paper›PMID 35492318›Full record

ArticleFrontiers in medicine2022

Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications.

Marcelo Luiz Balancin, Camila Machado Baldavira, Tabatha Gutierrez Prieto, Juliana Machado-Rugolo, Cecília Farhat, Aline Kawassaki Assato, Ana Paula Pereira Velosa, Walcy Rosolia Teodoro, Alexandre Muxfeldt Ab'Saber, Teresa Yae Takagaki and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
0.5field-weighted citation impact, top 37% of its field
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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Review
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

11 authors at 3 institutions in 1 country.

Marcelo Luiz BalancinLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Camila Machado BaldaviraLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Tabatha Gutierrez PrietoLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Juliana Machado-RugoloLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Cecília FarhatLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Aline Kawassaki AssatoLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Ana Paula Pereira VelosaRheumatology Division of the Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, FMUSP, São Paulo, Brazil.
Walcy Rosolia TeodoroRheumatology Division of the Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, FMUSP, São Paulo, Brazil.
Alexandre Muxfeldt Ab'SaberLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Teresa Yae TakagakiDivision of Pneumology, Instituto do Coração (Incor), University of São Paulo Medical School (USP), São Paulo, Brazil.
Vera Luiza CapelozziLaboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School (USP), São Paulo, Brazil.
Universidade de São Paulo · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malignant pleural mesotheliomas (MM) are known for their heterogenous histology and clinical behavior. MM histology reveals three major tumor cell populations: epithelioid, sarcomatoid, and biphasic. Using a dissecting approach, we showed that histochemical gradients help us better understand tumor heterogeneity and reconsider its histologic classifications. We also showed that this method to characterize MM tumor cell populations provides a better understanding of the underlying mechanisms for invasion and disease progression. Methods: In a cohort of 87 patients with surgically excised MM, we used hematoxylin and eosin to characterize tumor cell populations and Movat's pentachrome staining to dissect the ECM matrisome. Next, we developed a computerized semi-assisted protocol to quantify and reconstruct the ECM in 3D and examined the clinical association between the matricellular factors and patient outcome. Results: Epithelioid cells had a higher matrix composition of elastin and fibrin, whereas, in the sarcomatoid type, hyaluronic acid and total collagen were most prevalent. The 3D reconstruction exposed the collagen I and III that form channels surrounding the neoplastic cell blocks. The estimated volume of the two collagen fractions was 14% of the total volume, consistent with the median estimated area of total collagen (12.05 mm Conclusion: Differential patterns in matricellular phenotypes in MM could be used in translational studies to improve patient outcome. More importantly, our data raise the possibility that cancer cells can use the matrisome for disease expansion and could be effectively targeted by anti-collagen, anti-elastin, and/or anti-hyaluronic acid therapies.

Indexed as

immunohistochemistrymalignant mesotheliomaMovat's pentachrome stainPicrosiriusprognosis

Identifiers

PMID35492318
PMCPMC9043486
OpenAlexW4223940808

What OpenQuestion 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 OpenQuestion graph.