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Table: 1657P<br />

TH BV + TH<br />

HR (95% CI) Interaction p value a<br />

Subgroup Events/pts, n Median, mo Events/pts, n Median, mo<br />

All 64/82 11.2 66/80 16.5 0.78 (0.56–1.11)<br />

E-selectin L H 31/44 32/37 16.4 8.2 30/36 35/43 16.5 16.6 1.01 (0.61–1.68) 0.57 (0.35–0.92) 0.241<br />

IL-8 L H 35/45 28/36 13.6 8.4 28/35 37/44 16.4 17.8 0.84 (0.51–1.40) 0.74 (0.45–1.22) 0.506<br />

ICAM-1 L H 30/45 33/36 16.4 10.3 29/35 36/44 16.5 16.2 1.13 (0.68–1.89) 0.49 (0.30–0.80) 0.017<br />

bFGF L H 32/41 31/40 13.3 11.1 33/39 32/40 16.4 19.1 0.80 (0.49–1.30) 0.80 (0.49–1.32) 0.837<br />

PDGF-C L H 29/40 35/42 17.1 8.5 32/41 34/39 16.5 16.6 0.87 (0.52–1.44) 0.72 (0.45–1.16) 0.342<br />

VEGF-A L 33/45 13.6 30/36 16.5 0.83 (0.50–1.36) 0.795<br />

H 31/37 8.5 35/43 16.6 0.70 (0.43–1.14)<br />

VEGF-C L H 35/42 29/40 13.5 9.6 32/39 34/41 14.8 19.1 0.70 (0.43–1.15) 0.92 (0.56–1.51) 0.649<br />

VEGFR-1 L H 30/40 33/41 11.1 13.3 33/40 32/39 16.2 16.6 0.76 (0.46–1.25) 0.84 (0.52–1.37) 0.982<br />

VEGFR-2 L H 35/44 28/37 11.2 11.0 30/36 35/43 13.7 19.2 0.95 (0.58–1.55) 0.67 (0.40–1.10) 0.174<br />

VEGFR-3 L H 35/48 28/33 12.2 11.0 25/32 40/47 15.3 16.6 0.88 (0.52–1.47) 0.65 (0.40–1.06) 0.051<br />

a Model includes prognostic factors.<br />

Disclosure: L. Gianni: LG acts as a Consultant and has sat on Advisory Boards for Roche,<br />

Genentech, GSK, Novartis, Pfizer, Boehringer Ingelheim, Astra Zeneca, and Celgene. A.<br />

Chan: AC has acted as a Consultant, sat on Advisory Boards, and received honoraria and<br />

research funding from Roche. X. Pivot: XP has acted as a Consultant and sat on Advisory<br />

Boards for Roche, Eisai and GlaxoSmithKline, and has received honoraria from Sanofi. R.<br />

Greil: RG has acted as a Consultant for, sat on Advisory Boards for, and received<br />

honoraria and research funding from Roche. L. Provencher: LP has received a travel grant<br />

and honoraria from Roche.S. Prot: SP is an employee of F Hoffmann-La Roche Ltd. N.<br />

Moore: NM is an employee and holds stock in F Hoffmann-La Roche Ltd. S.J. Scherer: SS<br />

is an employee of Genentech. C. Pallaud: CP is an employee of F Hoffmann-La Roche Ltd.<br />

.All o<strong>the</strong>r authors have declared no conflicts of interest.<br />

1658P DIFFUSE REFLECTANCE SPECTROSCOPY; TOWARDS<br />

CLINICAL APPLICATION IN BREAST CANCER<br />

T.J.M. Ruers 1 , D. Evers 1 , R. Nachabé 2 , M.J. Vranken Peeters 1 , J. van der Hage 1 ,<br />

H. Oldenburg 1 , E. Rutgers 1 , G. Lucassen 2 , B. Hendriks 2 , J. Wesseling 3<br />

1 Surgery, The Ne<strong>the</strong>rlands Cancer Institute Antoni van Leeuwenhoek Hospital,<br />

Amsterdam, NETHERLANDS, 2 Minimally Invasive Healthcare, Philips Research,<br />

Eindhoven, NETHERLANDS, 3 Pathology, The Ne<strong>the</strong>rlands Cancer Institute<br />

Antoni van Leeuwenhoek Hospital, Amsterdam, NETHERLANDS<br />

Background: Diffuse reflectance spectroscopy (DRS) is a promising new technique<br />

for breast cancer diagnosis. During DRS tissue is illuminated by a selected light<br />

spectrum. By specific absorption and scattering characteristics of <strong>the</strong> tissue an<br />

‘optical fingerprint’ is obtained which represents specific morphological information.<br />

In this way DRS is able to differentiate normal tissue from tumor tissue. Here we<br />

compared <strong>the</strong> diagnostic accuracy of DRS in a cohort of patients and each patient<br />

individually to <strong>the</strong> pathology analysis of normal and malignant breast tissue.<br />

Methods: Breast tissue from 47 female patients was analysed ex-vivo by DRS. A total<br />

of 1073 optical spectra were collected from fat, glandular tissue and fibroadenoma<br />

lesions as well as from (pre)-malignant tissue samples. These spectra were analyzed<br />

for each patient individually as well as for all patients collectively. Results were<br />

compared to <strong>the</strong> pathology analysis of biopsies from each measurement location.<br />

Results: Collective patient data analysis for discrimination between normal and<br />

malignant breast tissue resulted in a sensitivity of 90%, a specificity of 88% and an<br />

overall accuracy of 89%. For individual analysis all measurements per patient were<br />

categorized as ei<strong>the</strong>r benign or malignant. The discriminative accuracy of this individual<br />

analysis was nearly 100%. When an arbitrary threshold was used of a 90% agreement<br />

between all DRS measurements and <strong>the</strong> pathology analysis for each individual patient to<br />

ascertain a diagnosis, only in one patient <strong>the</strong> diagnosis was classified as uncertain.<br />

Conclusions: Our results demonstrate that diffuse reflectance spectroscopy can be<br />

considered as an important new optical sensing technique that could improve <strong>the</strong><br />

diagnostic workflow in breast cancer.<br />

Disclosure: All authors have declared no conflicts of interest.<br />

1659P EFFECTS OF SRC INHIBITION ON SURVIVAL, MIGRATION<br />

AND INVASION OF HUMAN BREAST CANCER CELLS<br />

RESISTANT TO LAPATINIB<br />

L. Nappi, L. Formisano, R. Rosa, V. Damiano, T. Gelardi, C. D’Amato,<br />

V. D’Amato, R. Marciano, A.P. De Maio, R. Bianco<br />

Medical Oncology, University Federico II, Napoli, ITALY<br />

Background: HER2, a member of <strong>the</strong> HER family, is a transmembrane tyrosine<br />

kinase receptor overexpressed in almost 30% of breast cancer patients. Lapatinib is a<br />

small molecule HER2 inhibitor approved in metastatic breast cancer patients after<br />

Annals of Oncology<br />

trastuzumab failure. Unfortunately, <strong>the</strong> resistance against lapatinib is observed even<br />

in responding patients. Src is an intracellular kinase involved in tumor growth,<br />

angiogenesis and migration and it is related to trastuzumab resistance in human<br />

breast cancer cell lines.<br />

Materials and methods: We used different HER2 expressing human breast cancer<br />

cell lines, such as MDA-MB-361, MDA-MB-231 and BT474 (sensitive to lapatinib)<br />

JIMT-1 and KPL-4 (low sensitivity against lapatinib), and MDA-MB-361-LR<br />

(acquired resistance to lapatinib). We performed survival, migration and invasion<br />

assays and WB analysis in all cell lines treated with lapatinib, saracatinib (a Src<br />

inhibitor) or <strong>the</strong> combination. We also used nude mice xenografted with JIMT-1<br />

cells and in vivo artificial metastatic assay.<br />

Results: We observed that <strong>the</strong> combination treatment of lapatinib plus saracatinib is<br />

able to inhibit survival, migration and invasion in vitro and to regulate several<br />

proteins such as Src, Akt, MAPK, paxillin and FAK in all cancer cell lines tested. In<br />

nude mice xenografted with JIMT-1 cells, <strong>the</strong> combined treatment reduced tumor<br />

growth, prolonged survival and strongly decreased <strong>the</strong> incidence of lung metastases.<br />

Interestingly, we observed that Src preferentially binds to HER2 in lapatinib sensitive<br />

cells and with EGFR in resistant ones. EGFR inhibition, through <strong>the</strong> use of<br />

cetuximab or siRNA silencing, strongly enhanced <strong>the</strong> effect of lapatinib on <strong>the</strong><br />

growth of resistant cancer cells. The combined treatment of lapatinib and cetuximab,<br />

moreover, significantly reduced <strong>the</strong> activation of several intracellular transducers.<br />

Conclusions: We demonstrated that Src plays an important role in <strong>the</strong> development<br />

of resistance to lapatinib in breast cancer cell lines, in particular affecting invasion<br />

and migration, and that EGFR may mediate its activation. These results may suggest<br />

<strong>the</strong> clinical development of lapatinib and cetuximab combination in patients resistant<br />

to lapatinib.<br />

Disclosure: All authors have declared no conflicts of interest.<br />

1660P EPIGENETIC SILENCING OF ARGININO-SUCCINATE<br />

SYNTHASE (ASS1) DEFINES ARGININE DEPLETION<br />

THERAPY AS A NOVEL TREATMENT STRATEGY FOR<br />

BREAST CANCER<br />

F. Cavicchioli 1 , A. Shia 1 ,K.O’Leary 1 , V. Haley 1 , C. Palmieri 2 ,N.Syed 3 ,<br />

T. Crook 4 , A.M. Thompson 5 , C. Lo Nigro 6 , P. Schmid 7<br />

1 Oncology, Brighton and Sussex Medical School, Brighton, UNITED KINGDOM,<br />

2 Hammersmith Campus, Charing Cross HospitalImperial College Healthcare<br />

NHS Trust, London, UNITED KINGDOM, 3 Faculty of Medicine, Imperial College<br />

of London, London, UNITED KINGDOM, 4 Dundee Cancer Centre, University of<br />

Dundee, Dundee, UNITED KINGDOM, 5 Surgery and Molecular Oncology,<br />

University of Dundee, Dundee, UNITED KINGDOM, 6 Oncology, S. Croce General<br />

Hospital, Cuneo, ITALY, 7 Clinical Investigation and Research Unit, Brighton and<br />

Sussex Medical School, Brighton, UNITED KINGDOM<br />

Background: Loss of argininosuccinate syn<strong>the</strong>tase (ASS1) or lyase (ASL) expression,<br />

critical for <strong>the</strong> biosyn<strong>the</strong>sis of arginine in normal tissues, due to<br />

methylation-dependent silencing sensitises ovarian or glioblastoma cells to arginine<br />

depletion <strong>the</strong>rapy (ADT). Cells not expressing sufficient levels of ASS1 or ASL<br />

become auxotrophic for arginine and require exogenous supply. Arginine deiminase<br />

(ADI), a novel arginine-degrading enzyme, can eliminate arginine from <strong>the</strong><br />

circulation and has shown activity in cancers with low ASS1 and/or ASL activity.<br />

This study was performed to establish whe<strong>the</strong>r ASS1 or ASL are subject to<br />

methylation-dependent silencing in breast cancer to validate ADT as a novel<br />

<strong>the</strong>rapeutic strategy for breast cancer.<br />

Methods: Methylation of ASS1 and/or ASL was analysed by pyrosequencing and<br />

methylation-specific PCR (MSP) using primer sets validated by bisulphite<br />

sequencing. We used a panel of 19 breast cancer cell lines and two independent<br />

series of stage I-III primary breast cancers with linked mature clinical outcome that<br />

ix532 | <strong>Abstract</strong>s Volume 23 | Supplement 9 | September <strong>2012</strong>

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