Patrizia Boracchi

Prof. Patrizia Boracchi

orcid

Research Focus & Metrics

Academic Career Length

41Years (1986-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 1990 in European Journal of Cancer
Verified
Journal Article
Closed access
UVUmberto Veronesi
Umberto Veronesi
ABAlberto Banfi
Alberto Banfi
BSBruno Salvadori
Bruno Salvadori
ALAlberto Luini
Alberto Luini
RSRoberto Saccozzi
Roberto Saccozzi
GSGiuseppe Santoro
Giuseppe Santoro

30 November 2005 in Statistics in Medicine
Verified
Journal Article
Closed access
PDF file
LALaura Antolini
Laura Antolini
PBPatrizia Boracchi
Patrizia Boracchi
EBElia Biganzoli
Elia Biganzoli

15 January 1997 in JNCI: Journal of the National Cancer Institute
Verified
Journal Article
Open access
PDF file
GGGiampietro Gasparini
Giampietro Gasparini
EBEmanuela Bonoldi
Emanuela Bonoldi
CGCarlo Gatti
Carlo Gatti
OVOrazio Vinante
Orazio Vinante
MTMasakazu Toi
Masakazu Toi
HSHideo Suzuki
Hideo Suzuki
Background: The clinical outcome is generally positive for patients with node-negative breast carcinoma (i.e., those who do not have detectable metastases in the lymph nodes) who have been treated with surgery or surgery plus radiation therapy. In about 30% of the patients, however, the disease recurs, and they are at risk of death. Determination of valid new prognostic indicators would improve the ability to identify patients at high risk of recurrence. Breast cancer can entail substantial development of new blood vessels within the tumor tissue, and it is known that the growth and metastasis of solid tumors are dependent on such angiogenesis. The conversion of tumor cells to an angiogenic phenotype may be preceded by a change in the balance of angiogenic growth factors and angiogenesis inhibitors. Purpose: This study was conducted to determine if the levels of vascular endothelial growth factor (VEGF) protein, a potent endothelial growth factor and mediator of vascular permeability and angiogenesis, measured in the primary tumors of women with node-negative breast cancer are associated with known prognostic factors and patient survival. Methods: By use of a selective enzymatic immunoassay, levels of VEGF protein were measured in cytosolic extracts of primary tumor tissue surgically obtained from 260 women with node-negative breast carcinoma who had been treated with surgery with or without radiation therapy but not with adjuvant therapy and who had been followed for a median time of 66 months. The relationships between VEGF concentrations and other prognostic dichotomous variables or clinical outcome were tested by the use of the Kolmogorov-Smirnov test and univariate and multivariate Cox analyses, respectively. The relationship between VEGF and hormone receptors (i.e., those for estrogen and progesterone) was examined by the use of Spearman's correlation analyses. All P values resulted from the use of two-sided statistical tests. Results: Tumors from 247 (95%) of the 260 patients had detectable VEGF, ranging in concentration from 5.0 to 6523 pg/mg protein (median, 126.25 pg/mg protein). No statistically significant associations were found between VEGF and the other prognostic factors (e.g., age, menopausal status, histologic tumor type, tumor size, and hormone receptors) examined. Levels of VEGF were found to be prognostic for both relapse-free and overall survival in univariate and multivariate analyses (likelihood ratio tests; all four P values <.001). In the multivariate analysis, the first-order interaction term of VEGF and estrogen receptor was also prognostic for overall survival (likelihood ratio test; P = .05). Conclusions: The results show that cytosolic levels of VEGF in tumor tissue samples are indicative of prognosis for patients with node-negative breast carcinoma.

1 March 1994 in Journal of Clinical Oncology
Verified
Journal Article
Closed access
GGG Gasparini
G Gasparini
NWN Weidner
N Weidner
PBP Bevilacqua
P Bevilacqua
SMS Maluta
S Maluta
PPP Dalla Palma
P Dalla Palma
FPF Pozza
F Pozza
PURPOSE: To determine the absolute and relative value of microvessel density (MVD), p53 and c-erbB-2 protein expression, peritumoral lymphatic vessel invasion (PLVI), and conventional prognosticators in predicting relapse-free (RFS) and overall survival (OS) rates in patients with node-negative breast carcinoma (NNBC). PATIENTS AND METHODS: We monitored 254 consecutive patients with NNBC for a median of 62 months. Intratumoral MVD was measured after microvessels were immunostained using anti-CD31 antibody. p53 and c-erbB-2 protein and hormone receptors were also determined immunocytochemically. Results were analyzed by both univariate and multivariate statistical analysis. RESULTS: Univariate analysis showed that MVD was significantly predictive of both RFS (odds ratio [OR], 8.30; P = .0001) and OS (OR, 4.50; P = .012) when tested as a continuous or dichotomous variable. Likewise, tumor size (OR, 3.16; P = .0012), PLVI (OR, 4.36; P = .0009), estrogen receptor (ER) status (OR, 2.35; P = .016), progesterone receptor (PR) status (OR, 2.00; P = .017), and expression of p53 protein (OR, 2.82; P = .004) were significantly associated with RFS. Tumor size (OR, 3.80; P = .0038) and expression of p53 protein (OR, 2.58; P = .024) were significantly associated with OS by univariate analysis. Multivariate analysis showed that MVD (P = .0004), p53 protein expression (P = .0063), tumor size (P = .0144), and PLVI (P = .0033) were all significant and independent prognostic factors for RFS. However, only tumor size (P = .004) and MVD (P = .047) were independent predictors for OS. c-erbB2 expression was not associated with outcome by either univariate or multivariate analysis. CONCLUSION: MVD, p53 expression, PLVI, and tumor size are independent prognostic indicators of recurrence, which are useful in selection of high-risk NNBC patients who may be eligible to receive adjuvant therapies.

6 April 1994 in JNCI: Journal of the National Cancer Institute
Verified
Journal Article
Closed access
PDF file
RSRosella Silvestrini
Rosella Silvestrini
SVSilvia Veneroni
Silvia Veneroni
MDMaria Grazia Daidone
Maria Grazia Daidone
EBElvira Benini
Elvira Benini
PBPatrizia Boracchi
Patrizia Boracchi
UVUmberto Veronesi
Umberto Veronesi
The bcl-2 gene (also known as BCL2) encodes for a mitochondrial protein thought to prevent apoptosis of normal cells. The protein has been detected by immunohis-tochemical procedures in hormonally regulated epithelia. We analyzed the predictive relevance of Bcl-2 expression on 6-year relapse-free and overall survival in lymph node-negative breast cancers in relation to pathologic (tumor size) and biologic ([ 3 H]thymidine-labeling index, p53 protein expression, and estrogen receptor [ER] status) features. The expression of Bcl-2 and p53 was detected by immunohistochemistry on paraffin-embedded sections from 283 node-negative resectable breast cancers treated with local-regional therapy alone until relapse. The [ 3 H]thymidine-labeling index was evaluated on histologic sections after incubation of fresh tumor tissue with [ 3 H]thymidine, and ER content was determined by the dextran-coated charcoal absorption technique. A significantly higher fraction of Bcl-2-positive cells was observed in small, ER-positive, slowly proliferating, and p53-negative tumors than in large, ER-negative, rapidly proliferating, and p53-positive tumors. A stronger association was observed between Bcl-2 and p53 expression than between these variables and [ 3 H]thymidine-labeling index. In univariate analysis, Bcl-2 and p53 expression, [ 3 H]thy-midine-labeling index, tumor size, and ER status were indicators for relapse-free and, with the exception of tumor size, overall survival within 6 years of surgery. In multi-variate analysis, Bcl-2 failed to maintain its prognostic role for relapse-free and overall survival in the presence of p53 expression, whereas the [ 3 H]thymidine-labeling index was still statistically significant as a predictor for both events. The predictive role of Bcl-2 expression on 6-year relapse-free and overall survival was mainly dependent on p53 expression. [J Natl Cancer Inst 86: 499–504, 1994]

11 November 1993 in International Journal of Cancer
Verified
Journal Article
Closed access
PDF file
GGGiampietro Gasparini
Giampietro Gasparini
NWNoel Weidner
Noel Weidner
SMSergio Maluta
Sergio Maluta
FPFranco Pozza
Franco Pozza
PBPatrizia Boracchi
Patrizia Boracchi
PBPierantonio Bevilacqua
Pierantonio Bevilacqua