Proteomic identification of prognostic tumour biomarkers, using chemotherapy-induced cancer-associated fibroblasts

Maria Peiris-Pagès, Duncan L. Smith, B. Györffy, Federica Sotgia, Michael P. Lisanti

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Cancer cells grow in highly complex stromal microenvironments, which through metabolic remodelling, catabolism, autophagy and inflammation nurture them and are able to facilitate metastasis and resistance to therapy. However, these changes in the metabolic profile of stromal cancer-associated fibroblasts and their impact on cancer initiation, progression and metastasis are not well-known. This is the first study to provide a comprehensive proteomic portrait of the azathioprine and taxol-induced catabolic state on human stromal fibroblasts, which comprises changes in the expression of metabolic enzymes, myofibroblastic differentiation markers, antioxidants, proteins involved in autophagy, senescence, vesicle trafficking and protein degradation, and inducers of inflammation. Interestingly, many of these features are major contributors to the aging process. A catabolic stroma signature, generated with proteins found differentially up-regulated in taxol-treated fibroblasts, strikingly correlates with recurrence, metastasis and poor patient survival in several solid malignancies. We therefore suggest the inhibition of the catabolic state in healthy cells as a novel approach to improve current chemotherapy efficacies and possibly avoid future carcinogenic processes.

Original languageEnglish
Pages (from-to)816-838
Number of pages23
JournalAging
Volume7
Issue number10
Publication statusPublished - 2015

Fingerprint

Tumor Biomarkers
Proteomics
Autophagy
Neoplasm Metastasis
Paclitaxel
Drug Therapy
Fibroblasts
Inflammation
Neoplasms
Metabolome
Differentiation Antigens
Azathioprine
Proteolysis
Proteins
Antioxidants
Recurrence
Survival
Enzymes
Cancer-Associated Fibroblasts
Therapeutics

Keywords

  • Cancer survival
  • Cancer-associated fibroblasts
  • Catabolism
  • Chemotherapy
  • Markers
  • Metabolism
  • Quantitative proteomics
  • Second primary tumours
  • Tumour microenvironment

ASJC Scopus subject areas

  • Ageing
  • Cell Biology

Cite this

Peiris-Pagès, M., Smith, D. L., Györffy, B., Sotgia, F., & Lisanti, M. P. (2015). Proteomic identification of prognostic tumour biomarkers, using chemotherapy-induced cancer-associated fibroblasts. Aging, 7(10), 816-838.

Proteomic identification of prognostic tumour biomarkers, using chemotherapy-induced cancer-associated fibroblasts. / Peiris-Pagès, Maria; Smith, Duncan L.; Györffy, B.; Sotgia, Federica; Lisanti, Michael P.

In: Aging, Vol. 7, No. 10, 2015, p. 816-838.

Research output: Contribution to journalArticle

Peiris-Pagès, M, Smith, DL, Györffy, B, Sotgia, F & Lisanti, MP 2015, 'Proteomic identification of prognostic tumour biomarkers, using chemotherapy-induced cancer-associated fibroblasts', Aging, vol. 7, no. 10, pp. 816-838.
Peiris-Pagès, Maria ; Smith, Duncan L. ; Györffy, B. ; Sotgia, Federica ; Lisanti, Michael P. / Proteomic identification of prognostic tumour biomarkers, using chemotherapy-induced cancer-associated fibroblasts. In: Aging. 2015 ; Vol. 7, No. 10. pp. 816-838.
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