Evidence map›Paper›PMID 25928011›Full record

ArticleStem cell research & therapy2015

Raman spectroscopy for grading of live osteosarcoma cells.

Yi-Hung Chiang, Stewart H Wu, Yi-Chun Kuo, How-Foo Chen, Arthur Chiou, Oscar K Lee

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
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  6. Article
  7. Materials (Basel, Switzerland) · 2019
    Article
  8. Article
  9. Article
  10. A novel toolbox for E. coli lysis monitoring.Analytical and bioanalytical chemistry · 2017
    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

6 authors at 2 institutions in 1 country.

Yi-Hung ChiangInstitute of Clinical Medicine, National Yang-Ming University, No. 155, Sec2, Linong Street, Taipei, 112, Taiwan. chiang340@gmail.com.
Stewart H WuInstitute of Biophotonics, National Yang-Ming University, No. 155, Sec2, Linong Street, Taipei, 112, Taiwan. stewart37@gmail.com.
Yi-Chun KuoInstitute of Clinical Medicine, National Yang-Ming University, No. 155, Sec2, Linong Street, Taipei, 112, Taiwan. carol9596@hotmail.com.
How-Foo ChenInstitute of Biophotonics, National Yang-Ming University, No. 155, Sec2, Linong Street, Taipei, 112, Taiwan. hfchen3@ym.edu.tw.
Arthur ChiouInstitute of Biophotonics, National Yang-Ming University, No. 155, Sec2, Linong Street, Taipei, 112, Taiwan. aechiou@ym.edu.tw.
Oscar K LeeInstitute of Clinical Medicine, National Yang-Ming University, No. 155, Sec2, Linong Street, Taipei, 112, Taiwan. DAV47@tpech.gov.tw.
National Yang Ming Chiao Tung University · TWTaipei City Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOsteosarcoma is the most common primary malignant bone tumor, and the grading of osteosarcoma cells relies on traditional histopathology and molecular biology methods, which require RNA extraction, protein isolation and immunohistological staining. All these methods require cell isolation, lysis or fixation, which is time-consuming and requires certain amount of tumor specimen. In this study, we report the use of Raman spectroscopy for grading of malignant osteosarcoma cells.

methodsWe demonstrate that, based on the detection of differential production of mineral species, Raman spectroscopy can be used as a live cell analyzer to accurately assess the grades of osteosarcoma cells by evaluating their mineralization levels. Mineralization level was assessed by measuring amount of hydroxyapatite (HA), which is highly expressed in mature osteoblasts, but not in poorly differentiated osteosarcoma cell or mesenchymal stem cells, the putative cell-of-origin of osteosarcoma.

resultsWe found that under Raman spectroscopy, the level of HA production was high in MG-63 cells, which are low-grade. Moreover, hydroxyapatite production was low in high-grade osteosarcoma cells such as 143B and SaOS2 cells (p < 0.05). Matrix metalloproteinase MMP2, MMP9 were highly expressed in SaOS2, 143B and MSCs and decreased in human fetal osteoblast (FOB) and MG-63 cells as expected (p < 0.05). These results may highlight the inverse correlation between HA level and prognosis of osteosarcoma.

conclusionsThe use of Raman spectroscopy for the measurement of HA production by the protocol reported in this study may serve as a useful tool to rapidly and accurately assess the degree of malignancy in osteosarcoma cells in a label-free manner. Such application may shorten the period of pathological diagnosis and may benefit patients who are inflicted with osteosarcoma.

Indexed as

Spectrum Analysis, RamanBasiginBone NeoplasmsCell DifferentiationCell LineDurapatiteHumansMatrix Metalloproteinase 2Matrix Metalloproteinase 9Mesenchymal Stem CellsNeoplasm GradingOsteoblastsOsteosarcomaReal-Time Polymerase Chain ReactionRNABasiginDurapatiteMatrix Metalloproteinase 2Matrix Metalloproteinase 9RNA

Identifiers

PMID25928011
PMCPMC4445270
OpenAlexW2116267048

What OpenQuestion holds

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LicenceCC BY
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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.