Automated Author Profile

Nuzzo, Pier Vitale

Weill Cornell Medicine

Current S-Index

2.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Additional file 1 of Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer

Additional file 1: Table S1. Summary of the datasets included in the analysis. All samples were taken from triplenegative breast cancer patients before initiating neoadjuvant chemotherapy. T taxane, A anthracycline, F fluorouracil, C cyclophosphamide, E epirubicin, FNA fine needle aspiration, NACT neoadjuvant chemotherapy. Figure S1. Prognostic value of the TSP signature in patients with triple-negative breast cancer in the METABRIC dataset. A Receiver operating characteristic (ROC) curve showing the performance of the Notch TSP signature in predicting relapse-free survival in triple-negative breast cancer patients (n = 157). B Kaplan‒Meier survival curves showing the association between the signature’s predictions and relapse-free survival in the same set of patients. C Kaplan‒Meier survival curves demonstrating the association of each individual pair and relapse-free survival in the same set of patients. ‘p’ denotes the log-rank p value.

Authors

  • Omar, Mohamed ;
  • Nuzzo, Pier Vitale ;
  • Ravera, Francesco ;
  • Bleve, Sara ;
  • Fanelli, Giuseppe Nicolò ;
  • Zanettini, Claudio ;
  • Valencia, Itzel ;
  • Marchionni, Luigi
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.266401362024

Additional file 1 of Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer

Additional file 1: Table S1. Summary of the datasets included in the analysis. All samples were taken from triplenegative breast cancer patients before initiating neoadjuvant chemotherapy. T taxane, A anthracycline, F fluorouracil, C cyclophosphamide, E epirubicin, FNA fine needle aspiration, NACT neoadjuvant chemotherapy. Figure S1. Prognostic value of the TSP signature in patients with triple-negative breast cancer in the METABRIC dataset. A Receiver operating characteristic (ROC) curve showing the performance of the Notch TSP signature in predicting relapse-free survival in triple-negative breast cancer patients (n = 157). B Kaplan‒Meier survival curves showing the association between the signature’s predictions and relapse-free survival in the same set of patients. C Kaplan‒Meier survival curves demonstrating the association of each individual pair and relapse-free survival in the same set of patients. ‘p’ denotes the log-rank p value.

Authors

  • Omar, Mohamed ;
  • Nuzzo, Pier Vitale ;
  • Ravera, Francesco ;
  • Bleve, Sara ;
  • Fanelli, Giuseppe Nicolò ;
  • Zanettini, Claudio ;
  • Valencia, Itzel ;
  • Marchionni, Luigi
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.26640136.v12024

Additional file 2 of Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer

Additional file 2. Table of the pairs of up- and down-regulated genes by Notch signaling. These pairs were used as biological constraints during the training of the k-top scoring pairs (k-TSPs) algorithm.

Authors

  • Omar, Mohamed ;
  • Nuzzo, Pier Vitale ;
  • Ravera, Francesco ;
  • Bleve, Sara ;
  • Fanelli, Giuseppe Nicolò ;
  • Zanettini, Claudio ;
  • Valencia, Itzel ;
  • Marchionni, Luigi
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.266401392024

Additional file 2 of Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer

Additional file 2. Table of the pairs of up- and down-regulated genes by Notch signaling. These pairs were used as biological constraints during the training of the k-top scoring pairs (k-TSPs) algorithm.

Authors

  • Omar, Mohamed ;
  • Nuzzo, Pier Vitale ;
  • Ravera, Francesco ;
  • Bleve, Sara ;
  • Fanelli, Giuseppe Nicolò ;
  • Zanettini, Claudio ;
  • Valencia, Itzel ;
  • Marchionni, Luigi
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.26640139.v12024