Evidence map›Paper›PMID 32652647›Full record

ArticleMolecular oncology2020

Epithelial/mesenchymal heterogeneity of high-grade serous ovarian carcinoma samples correlates with miRNA let-7 levels and predicts tumor growth and metastasis.

Evgeny Chirshev, Nozomi Hojo, Antonella Bertucci, Linda Sanderman, Anthony Nguyen, Hanmin Wang, Tise Suzuki, Emmanuel Brito, Shannalee R Martinez, Christine Castañón and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Overview of Tumor Heterogeneity in High-Grade Serous Ovarian Cancers.International journal of molecular sciences · 2023
    Review
  12. Review
  13. Exosomes fromCancers · 2022
    Article
  14. Article
  15. Article
  16. Cancers · 2021
    Article
  17. Review
  18. Article
  19. Review
  20. 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

16 authors at 2 institutions in 1 country.

Evgeny ChirshevDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.ORCID 0000-0002-3301-2724
Nozomi HojoDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Antonella BertucciDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Linda SandermanDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Anthony NguyenDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Hanmin WangDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Tise SuzukiDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Emmanuel BritoDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Shannalee R MartinezCenter for Health Disparities and Molecular Medicine, Loma Linda University, Loma Linda, CA, USA.
Christine CastañónDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.
Saied MirshahidiBiospecimen Laboratory, Division of Microbiology & Molecular Genetics, Department of Basic Sciences, Loma Linda University Cancer Center, Loma Linda University, Loma Linda, CA, USA.
Marcelo E VazquezDepartment of Radiation Medicine, Loma Linda University, Loma Linda, CA, USA.
Pamela WatDepartment of Pathology and Human Anatomy, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Kerby C ObergDepartment of Pathology and Human Anatomy, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Yevgeniya J IoffeDivision of Gynecologic Oncology, Department of Gynecology and Obstetrics, Loma Linda University Medical Center, Loma Linda, CA, USA.
Juli J UnternaehrerDivision of Biochemistry, Department of Basic Sciences, Loma Linda University, Loma Linda, CA, USA.ORCID 0000-0001-5864-4704
Loma Linda University · USLoma Linda University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-derived samples present an advantage over current cell line models of high-grade serous ovarian cancer (HGSOC) that are not always reliable and phenotypically faithful models of in vivo HGSOC. To improve upon cell line models of HGSOC, we set out to characterize a panel of patient-derived cells and determine their epithelial and mesenchymal characteristics. We analyzed RNA and protein expression levels in patient-derived xenograft (PDX) models of HGSOC, and functionally characterized these models using flow cytometry, wound healing assays, invasion assays, and spheroid cultures. Besides in vitro work, we also evaluated the growth characteristics of PDX in vivo (orthotopic PDX). We found that all samples had hybrid characteristics, covering a spectrum from an epithelial-to-mesenchymal state. Samples with a stronger epithelial phenotype were more active in self-renewal assays and more tumorigenic in orthotopic xenograft models as compared to samples with a stronger mesenchymal phenotype, which were more migratory and invasive. Additionally, we observed an inverse association between microRNA let-7 (lethal-7) expression and stemness, consistent with the loss of let-7 being an important component of the cancer stem cell phenotype. We observed that lower let-7 levels were associated with the epithelial state and a lower epithelial mesenchymal transition (EMT) score, more efficient spheroid and tumor formation, and increased sensitivity to platinum-based chemotherapy. Surprisingly, in these HGSOC cells, stemness could be dissociated from invasiveness: Cells with lower let-7 levels were more tumorigenic, but less migratory, and with a lower EMT score, than those with higher let-7 levels. We conclude that let-7 expression and epithelial/mesenchymal state are valuable predictors of HGSOC proliferation, in vitro self-renewal, and tumor burden in vivo.

Indexed as

AnimalsCell Line, TumorCell MovementCell Self RenewalEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansMice, Inbred NODMice, SCIDMicroRNAsNeoplasm InvasivenessNeoplasms, Cystic, Mucinous, and SerousNeoplastic Stem CellsOvarian NeoplasmsMicroRNAsmirnlet7 microRNA, humanmirnlet7 microRNA, mouseepithelial/mesenchymal transitionhigh-grade serous ovarian cancermicroRNAorthotopic patient-derived xenograftsstem cellstranscriptional regulation

Identifiers

PMID32652647
PMCPMC7607177
OpenAlexW3138473255

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.