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Methylene blue photodynamic therapy induces selective and massive cell death in human breast cancer cells

Overview of attention for article published in BMC Cancer, March 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 news outlet
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77 X users
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1 patent
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1 Facebook page

Citations

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124 Dimensions

Readers on

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188 Mendeley
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Title
Methylene blue photodynamic therapy induces selective and massive cell death in human breast cancer cells
Published in
BMC Cancer, March 2017
DOI 10.1186/s12885-017-3179-7
Pubmed ID
Authors

Ancély F. dos Santos, Letícia F. Terra, Rosangela A. M. Wailemann, Talita C. Oliveira, Vinícius de Morais Gomes, Marcela Franco Mineiro, Flávia Carla Meotti, Alexandre Bruni-Cardoso, Maurício S. Baptista, Leticia Labriola

Abstract

Breast cancer is the main cause of mortality among women. The disease presents high recurrence mainly due to incomplete efficacy of primary treatment in killing all cancer cells. Photodynamic therapy (PDT), an approach that causes tissue destruction by visible light in the presence of a photosensitizer (Ps) and oxygen, appears as a promising alternative therapy that could be used adjunct to chemotherapy and surgery for curing cancer. However, the efficacy of PDT to treat breast tumours as well as the molecular mechanisms that lead to cell death remain unclear. In this study, we assessed the cell-killing potential of PDT using methylene blue (MB-PDT) in three breast epithelial cell lines that represent non-malignant conditions and different molecular subtypes of breast tumours. Cells were incubated in the absence or presence of MB and irradiated or not at 640 nm with 4.5 J/cm(2). We used a combination of imaging and biochemistry approaches to assess the involvement of classical autophagic and apoptotic pathways in mediating the cell-deletion induced by MB-PDT. The role of these pathways was investigated using specific inhibitors, activators and gene silencing. We observed that MB-PDT differentially induces massive cell death of tumour cells. Non-malignant cells were significantly more resistant to the therapy compared to malignant cells. Morphological and biochemical analysis of dying cells pointed to alternative mechanisms rather than classical apoptosis. MB-PDT-induced autophagy modulated cell viability depending on the cell model used. However, impairment of one of these pathways did not prevent the fatal destination of MB-PDT treated cells. Additionally, when using a physiological 3D culture model that recapitulates relevant features of normal and tumorous breast tissue morphology, we found that MB-PDT differential action in killing tumour cells was even higher than what was detected in 2D cultures. Finally, our observations underscore the potential of MB-PDT as a highly efficient strategy which could use as a powerful adjunct therapy to surgery of breast tumours, and possibly other types of tumours, to safely increase the eradication rate of microscopic residual disease and thus minimizing the chance of both local and metastatic recurrence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 188 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 17%
Student > Bachelor 21 11%
Researcher 20 11%
Student > Master 20 11%
Student > Doctoral Student 11 6%
Other 30 16%
Unknown 54 29%
Readers by discipline Count As %
Chemistry 31 16%
Biochemistry, Genetics and Molecular Biology 28 15%
Agricultural and Biological Sciences 14 7%
Medicine and Dentistry 13 7%
Physics and Astronomy 7 4%
Other 28 15%
Unknown 67 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2024.
All research outputs
#716,489
of 25,550,333 outputs
Outputs from BMC Cancer
#87
of 9,012 outputs
Outputs of similar age
#14,850
of 322,647 outputs
Outputs of similar age from BMC Cancer
#2
of 128 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,012 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,647 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.