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Proteoglycan-based diversification of disease outcome in head and neck cancer patients identifies NG2/CSPG4 and syndecan-2 as unique relapse and overall survival predicting factors

Overview of attention for article published in BMC Cancer, May 2015
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Title
Proteoglycan-based diversification of disease outcome in head and neck cancer patients identifies NG2/CSPG4 and syndecan-2 as unique relapse and overall survival predicting factors
Published in
BMC Cancer, May 2015
DOI 10.1186/s12885-015-1336-4
Pubmed ID
Authors

Anna Farnedi, Silvia Rossi, Nicoletta Bertani, Mariolina Gulli, Enrico Maria Silini, Maria Teresa Mucignat, Tito Poli, Enrico Sesenna, Davide Lanfranco, Lucio Montebugnoli, Elisa Leonardi, Claudio Marchetti, Renato Cocchi, Andrea Ambrosini-Spaltro, Maria Pia Foschini, Roberto Perris

Abstract

Tumour relapse is recognized to be the prime fatal burden in patients affected by head and neck squamous cell carcinoma (HNSCC), but no discrete molecular trait has yet been identified to make reliable early predictions of tumour recurrence. Expression of cell surface proteoglycans (PGs) is frequently altered in carcinomas and several of them are gradually emerging as key prognostic factors. A PG expression analysis at both mRNA and protein level, was pursued on primary lesions derived from 173 HNSCC patients from whom full clinical history and 2 years post-surgical follow-up was accessible. Gene and protein expression data were correlated with clinical traits and previously proposed tumour relapse markers to stratify high-risk patient subgroups. HNSCC lesions were indeed found to exhibit a widely aberrant PG expression pattern characterized by a variable expression of all PGs and a characteristic de novo transcription/translation of GPC2, GPC5 and NG2/CSPG4 respectively in 36%, 72% and 71% on 119 cases. Importantly, expression of NG2/CSPG4, on neoplastic cells and in the intralesional stroma (Hazard Ratio [HR], 6.76, p = 0.017) was strongly associated with loco-regional relapse, whereas stromal enrichment of SDC2 (HR, 7.652, p = 0.007) was independently tied to lymphnodal infiltration and disease-related death. Conversely, down-regulated SDC1 transcript (HR, 0.232, p = 0.013) uniquely correlated with formation of distant metastases. Altered expression of PGs significantly correlated with the above disease outcomes when either considered alone or in association with well-established predictors of poor prognosis (i.e. T classification, previous occurrence of precancerous lesions and lymphnodal metastasis). Combined alteration of all three PGs was found to be a reliable predictor of shorter survival. An unprecedented PG-based prognostic portrait is unveiled that incisively diversifies disease course in HNSCC patients beyond the currently known clinical and molecular biomarkers.

X Demographics

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The data shown below were collected from the profiles of 4 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Czechia 1 2%
Italy 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Bachelor 7 16%
Student > Ph. D. Student 5 11%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 10 22%
Readers by discipline Count As %
Medicine and Dentistry 15 33%
Biochemistry, Genetics and Molecular Biology 7 16%
Agricultural and Biological Sciences 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Immunology and Microbiology 1 2%
Other 3 7%
Unknown 11 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 May 2015.
All research outputs
#13,942,329
of 22,803,211 outputs
Outputs from BMC Cancer
#3,193
of 8,297 outputs
Outputs of similar age
#133,939
of 264,285 outputs
Outputs of similar age from BMC Cancer
#95
of 244 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,297 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 59% 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 264,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.