Detecting signals of micrometastatic disease in patients with early breast cancer (EBC) could improve risk stratification and allow better tailoring of adjuvant therapies. We previously showed that postoperative serum metabolomic profiles were predictive of relapse in a single-center cohort of estrogen receptor (ER)-negative EBC patients. Here, we investigated this further using preoperative serum samples from ER-positive, premenopausal women with EBC who were enrolled in an international phase III trial.

Serum Metabolomic Profiles Identify ER-Positive Early Breast Cancer Patients at Increased Risk of Disease Recurrence in a Multicenter Population / Hart, Christopher D; Vignoli, Alessia; Tenori, Leonardo; Uy, Gemma Leonora; To, Ta Van; Adebamowo, Clement; Hossain, Syed Mozammel; Biganzoli, Laura; Risi, Emanuela; Love, Richard R; Luchinat, Claudio; Di Leo, Angelo. - In: CLINICAL CANCER RESEARCH. - ISSN 1078-0432. - STAMPA. - 23:(2017), pp. 1422-1431. [10.1158/1078-0432.CCR-16-1153]

Serum Metabolomic Profiles Identify ER-Positive Early Breast Cancer Patients at Increased Risk of Disease Recurrence in a Multicenter Population

VIGNOLI, ALESSIA;TENORI, LEONARDO;RISI, EMANUELA;LUCHINAT, CLAUDIO;
2017

Abstract

Detecting signals of micrometastatic disease in patients with early breast cancer (EBC) could improve risk stratification and allow better tailoring of adjuvant therapies. We previously showed that postoperative serum metabolomic profiles were predictive of relapse in a single-center cohort of estrogen receptor (ER)-negative EBC patients. Here, we investigated this further using preoperative serum samples from ER-positive, premenopausal women with EBC who were enrolled in an international phase III trial.
2017
23
1422
1431
Hart, Christopher D; Vignoli, Alessia; Tenori, Leonardo; Uy, Gemma Leonora; To, Ta Van; Adebamowo, Clement; Hossain, Syed Mozammel; Biganzoli, Laura; Risi, Emanuela; Love, Richard R; Luchinat, Claudio; Di Leo, Angelo
File in questo prodotto:
File Dimensione Formato  
1422.full.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 822.22 kB
Formato Adobe PDF
822.22 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1080727
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 68
  • ???jsp.display-item.citation.isi??? 63
social impact