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1.
  • Abrate, Alberto, et al. (author)
  • Mesenchymal stem cells expressing therapeutic genes induce autochthonous prostate tumour regression
  • 2014
  • In: European Journal of Cancer. - : Elsevier. - 0959-8049 .- 1879-0852. ; 50:14, s. 2478-2488
  • Journal article (peer-reviewed)abstract
    • Mesenchymal stem cells (MSC) as vehicles of therapeutic genes represent a unique tool to activate drugs within a neoplastic mass due to their property to home and engraft into tumours. In particular, MSC expressing the cytosine deaminase:: uracil phosphoribosyltransferase (CD-MSC) have been previously demonstrated to inhibit growth of subcutaneous prostate cancer xenografts thanks to their ability to convert the non-toxic 5-fluorocytosine into the antineoplastic 5-fluorouracil. Since both the immune system and the tumour microenvironment play a crucial role in directing cancer progression, in order to advance towards clinical applications, we tested the therapeutic potential of this approach on animal models that develop autochthonous prostate cancer and preserve an intact immune system. As cell vectors, we employed adipose-tissue and bone-marrow MSC. CD-MSC toxicity on murine prostate cancer cells and tumour tropism were verified in vitro and ex-vivo before starting the preclinical studies. Magnetic Resonance Imaging was utilised to follow orthotopic tumour progression. We demonstrated that intravenous injections of CD-MSC cells, followed by intraperitoneal administration of 5-fluorocytosine, caused tumour regression in the transgenic adenocarcinoma of the mouse prostate (TRAMP) model, which develops aggressive and spontaneous prostate cancer. These results add new insights to the therapeutic potential of specifically engineered MSC in prostate cancer disease.
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2.
  • Bratulic, Sinisa, 1981, et al. (author)
  • Noninvasive detection of any-stage cancer using free glycosaminoglycans.
  • 2022
  • In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 119:50
  • Journal article (peer-reviewed)abstract
    • Cancer mortality is exacerbated by late-stage diagnosis. Liquid biopsies based on genomic biomarkers can noninvasively diagnose cancers. However, validation studies have reported ~10% sensitivity to detect stage I cancer in a screening population and specific types, such as brain or genitourinary tumors, remain undetectable. We investigated urine and plasma free glycosaminoglycan profiles (GAGomes) as tumor metabolism biomarkers for multi-cancer early detection (MCED) of 14 cancer types using 2,064 samples from 1,260 cancer or healthy subjects. We observed widespread cancer-specific changes in biofluidic GAGomes recapitulated in an in vivo cancer progression model. We developed three machine learning models based on urine (Nurine = 220 cancer vs. 360 healthy) and plasma (Nplasma = 517 vs. 425) GAGomes that can detect any cancer with an area under the receiver operating characteristic curve of 0.83-0.93 with up to 62% sensitivity to stage I disease at 95% specificity. Undetected patients had a 39 to 50% lower risk of death. GAGomes predicted the putative cancer location with 89% accuracy. In a validation study on a screening-like population requiring ≥ 99% specificity, combined GAGomes predicted any cancer type with poor prognosis within 18 months with 43% sensitivity (21% in stage I; N = 121 and 49 cases). Overall, GAGomes appeared to be powerful MCED metabolic biomarkers, potentially doubling the number of stage I cancers detectable using genomic biomarkers.
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  • Result 1-2 of 2
Type of publication
journal article (2)
Type of content
peer-reviewed (2)
Author/Editor
Edqvist, Per-Henrik ... (1)
Enblad, Gunilla (1)
Höglund, Martin (1)
Nyman, Jan, 1956 (1)
Abrate, Alberto (1)
Buono, Roberta (1)
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Canu, Tamara (1)
Esposito, Antonio (1)
Del Maschio, Alessan ... (1)
Luciano, Roberta (1)
Bettiga, Arianna (1)
Colciago, Giorgia (1)
Guazzoni, Giorgio (1)
Benigni, Fabio (1)
Hedlund, Petter (1)
Altaner, Cestmir (1)
Montorsi, Francesco (1)
Cavarretta, Ilaria T ... (1)
Dabestani, Saeed (1)
Kjölhede, Henrik, 19 ... (1)
Häggman, Michael (1)
Hesselager, Göran (1)
Levin, Max, 1969 (1)
Stålberg, Karin (1)
Lindman, Henrik (1)
Lundstam, Sven, 1944 (1)
Simonson, Oscar (1)
Stierner, Ulrika, 19 ... (1)
Ekstrand, Matias (1)
Nielsen, Jens (1)
Stålberg, Peter (1)
Bergman, Bengt, 1953 (1)
Mandel Clausen, Thom ... (1)
Daugaard, Mads (1)
Salanti, Ali (1)
Pellegrino, Francesc ... (1)
Belting, Mattias (1)
Bång-Rudenstam, Anna (1)
Jonasch, Eric (1)
Salonia, Andrea (1)
Birgisson, Helgi (1)
Bratulic, Sinisa, 19 ... (1)
Limeta, Angelo, 1996 (1)
Gatto, Francesco, 19 ... (1)
Kumar, Gunjan (1)
Cavarretta, Ilaria (1)
Alfano, Massimo (1)
Maccari, Francesca (1)
Galeotti, Fabio (1)
Volpi, Nicola (1)
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University
University of Gothenburg (1)
Uppsala University (1)
Linköping University (1)
Lund University (1)
Chalmers University of Technology (1)
Karolinska Institutet (1)
Language
English (2)
Research subject (UKÄ/SCB)
Medical and Health Sciences (2)

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