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The AKT inhibitor MK2206 (M) was evaluated in I-SPY 2 and graduated in the HER2+, HR−, and HR− HER2+ signatures. We hypothesized that AKT signaling axis proteins/genes may specifically predict response to M and tested 26 phospho-proteins and 10 genes involved in AKT-mTOR-HER signaling; in addition, we tested 9 genes from a previous study in the metastatic setting. One hundred and fifty patients had gene expression data from pretreatment biopsies available for analysis (M: 94, control: 56) and 138 had protein data (M: 87, control: 51). Logistic modeling was used to assess biomarker performance in pre-specified analysis. In general, phospho-protein biomarkers of activity in the AKT-mTOR-HER pathway appeared more predictive of response to M than gene expression or total protein biomarkers in the same pathway; however, the nature of the predictive biomarkers differed in the HER2+ and TN groups. In the HER2+ subset, patients achieving a pCR in M had higher levels of multiple AKT kinase substrate phospho-proteins (e.g., pmTOR, pTSC2). In contrast, in the TN subset responding patients had lower levels of AKT pathway phospho-proteins, such as pAKT, pmTOR, and pTSC2. Pathway mutations did not appear to account for these associations. Additional exploratory whole-transcriptome analysis revealed immune signaling as strongly associated with response to M in the HER2+ subset. While our sample size is small, these results suggest that the measurement of particular AKT kinase substrate phospho-proteins could be predictive of MK2206 efficacy in both HER2+ and TN tumors and that immune signaling may play a role in response in HER2+ patients.

BackgroundAnti-programmed cell death protein 1 and programmed cell death ligand 1 (PD-L1) agents are broadly used in first-line and second-line treatment across different tumor types. While immunohistochemistry-based assays are routinely used to assess PD-L1 expression, their clinical utility remains controversial due to the partial predictive value and lack of standardized cut-offs across antibody clones. Using a high throughput immunoassay, the reverse phase protein microarray (RPPA), coupled with a fluorescence-based detection system, this study compared the performance of six anti-PD-L1 antibody clones on 666 tumor samples.MethodsPD-L1 expression was measured using five antibody clones (22C3, 28–8, CAL10, E1L3N and SP142) and the therapeutic antibody atezolizumab on 222 lung, 71 ovarian, 52 prostate and 267 breast cancers, and 54 metastatic lesions. To capture clinically relevant variables, our cohort included frozen and formalin-fixed paraffin-embedded samples, surgical specimens and core needle biopsies. Pure tumor epithelia were isolated using laser capture microdissection from 602 samples. Correlation coefficients were calculated to assess concordance between antibody clones. For two independent cohorts of patients with lung cancer treated with nivolumab, RPPA-based PD-L1 measurements were examined along with response to treatment.ResultsMedian-center PD-L1 dynamic ranged from 0.01 to 39.37 across antibody clones. Correlation coefficients between the six antibody clones were heterogeneous (range: −0.48 to 0.95) and below 0.50 in 61% of the comparisons. In nivolumab-treated patients, RPPA-based measurement identified a subgroup of tumors, where low PD-L1 expression equated to lack of response.ConclusionsContinuous RPPA-based measurements capture a broad dynamic range of PD-L1 expression in human specimens and heterogeneous concordance levels between antibody clones. This high throughput immunoassay can potentially identify subgroups of tumors in which low expression of PD-L1 equates to lack of response to treatment.

De novo resistance and rapid recurrence often characterize responses of B-cell malignancies to ibrutinib (IBR), indicating a need to develop drug combinations that block compensatory survival signaling and give deeper, more durable responses. To identify such combinations, we previously performed a combinatorial drug screen and identified the Bcl-2 inhibitor venetoclax (VEN) as a promising partner for combination with IBR in Mantle Cell Lymphoma (MCL). We have opened a multi-institutional clinical trial to test this combination. However, analysis of primary samples from patients with MCL as well as chronic lymphocytic leukemia (CLL) revealed unexpected heterogeneous de novo resistance even to the IBR+VEN combination. In the current study, we demonstrate that resistance to the combination can be generated by microenvironmental agonists: IL-10, CD40L and, most potently, CpG-oligodeoxynucleotides (CpG-ODN), which is a surrogate for unmethylated DNA and a specific agonist for TLR9 signaling. Incubation with these agonists caused robust activation of NF-κB signaling, especially alternative NF-κB, which led to enhanced expression of the anti-apoptotic proteins Mcl-1, Bcl-xL, and survivin, thus decreasing dependence on Bcl-2. Inhibitors of NF-κB signaling blocked overexpression of these anti-apoptotic proteins and overcame resistance. Inhibitors of Mcl-1, Bcl-xL, or survivin also overcame this resistance, and showed synergistic benefit with the IBR+VEN combination. We conclude that microenvironmental factors, particularly the TLR9 agonist, can generate de novo resistance to the IBR+VEN combination in CLL and MCL cells. This signaling pathway presents targets for overcoming drug resistance induced by extrinsic microenvironmental factors in diverse B-cell malignancies.

Background: We have previously described that TNBC patients whose tumors have both HER2 Y1248 phosphorylation (pHER2) “high” and phospho-EGFR Y1173 (pEGFR) “high” have increased response (pCR) to neratinib in the I-SPY2 TRIAL. We hypothesize that the paradoxical finding of a response prediction signature comprised of HER2 activation in a HER2 IHC/FISH-negative population means there must be a ligand-driven biochemical event responsible for the HER2 phosphorylation because HER2 mutations were also not found to be significant. Exploratory analysis of additional cellular signaling events and protein expression levels in pre-treatment, LCM-purified tumor epithelium by reverse phase protein microarray (RPPA) included semi-quantitative measurement of total levels of estrogen receptor alpha (ERα), which has been previously shown to be able to act as a membrane non-genomic signaling molecule through direct interaction with various tyrosine kinases including EGFR and HER2. Since ERα has been previously shown to act as a ligand and co-stimulate (activate) HER2 and EGFR when present at low levels, we investigated whether or not RPPA-measured ERα levels in the TNBC cohort analyzed to date were higher in tumors with both pHER2 “high” and pEGFR “high” levels and thus provide evidence explaining how HER2-EGFR activation is occurring in TNBC. Methods: Using RPPA analysis, we measured 118 analytes in lysates of LCM tumor epithelium obtained from the pre-treatment biopsy samples of 86 TNBC (Allred=0) patients in the I-SPY2 TRIAL analyzed to date. Cutpoints for pEGFR and pHER2 were determined previously by ROC analysis for pCR correlation in the neratinib treated TNBC population, and used here to dichotomize the pHER2 and pEGFR data in the larger TNBC population. Wilcoxon Rank Sum testing was performed using the continuous variable total ERα data and compared the TNBC that were both pHER2 and pEGFR “high” (N=39) to the rest of the TNBC population (N=47). Total ERα values were then divided into “high” and “low” groups based on the TNBC population median value in order to determine frequency/percentages within each class. Our study is exploratory with no claims for generalizability of the data, and calculations are descriptive (e.g. p-values are measures of distance with no inferential content). Results: Total ERα values were obtained in 84/86 TNBC tumors analyzed. Total levels of ERα were higher (p< 0.006) in TNBC tumors with pHER2 and pEGFR “high” levels. 68% (26/38) of tumors in the pHER2 and pEGFR “high” group had ERα levels above the population median compared to 35% (16/46) in the rest of the TNBC population. Conclusion: Our exploratory analysis reveals that ERα levels are significantly higher in TNBC with pHER2 and pEGFR activation and may be behaving as a direct signaling ligand in TNBC and driving HER2-EGFR signaling. This ERα-pHER2/pEGFR association was missed by current ER and HER2 clinical laboratory testing techniques, and if validated in larger independent study sets could suggest that utilization of new protein-based techniques defining ER more quantitatively could be helpful to understand tumor biology and therapeutic response prediction, especially in the context of TNBC that are ostensibly ER negative. Citation Format: Gallagher RI, Yau C, Wolf DM, Dong T, Hirst G, Brown-Swigart L, ISPY-2 TRIAL Investigators, Buxton M, DeMichele A, van't Veer L, Yee D, Paoloni M, Esserman L, Berry D, Park J, Petricoin EF, Wulfkuhle JD. Quantitative ERα measurements in TNBC from the I-SPY 2 TRIAL correlate with HER2-EGFR co-activation and heterodimerization [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P3-05-02.

Purpose In the I-SPY 2 TRIAL (Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging and Molecular Analysis 2), the pan–erythroblastic oncogene B inhibitor neratinib was available to all hormone receptor (HR)/human epidermal growth factor receptor 2 (HER2) subtypes and graduated in the HR-negative/HER2-positive signature. We hypothesized that neratinib response may be predicted by baseline HER2 epidermal growth factor receptor (EGFR) signaling activation/phosphorylation levels independent of total levels of HER2 or EGFR proteins. Materials and Methods Complete experimental and response data were available for between 130 and 193 patients. In qualifying analyses, which used logistic regression and treatment interaction analysis, 18 protein/phosphoprotein, 10 mRNA, and 12 DNA biomarkers that related to HER family signaling were evaluated. Exploratory analyses used Wilcoxon rank sum and t tests without multiple comparison correction. Results HER pathway DNA biomarkers were either low prevalence or nonpredictive. In expression biomarker analysis, only one gene ( STMN1) was specifically associated with response to neratinib in the HER2-negative subset. In qualifying protein/phosphoprotein analyses that used reverse phase protein microarrays, six HER family markers were associated with neratinib response. After analysis was adjusted for HR/HER2 status, EGFR Y1173 (pEGFR) showed a significant biomarker-by-treatment interaction ( P = .049). Exploratory analysis of HER family signaling in patients with triple-negative (TN) disease found that activation of EGFR Y1173 ( P = .005) and HER2 Y1248 (pHER2) ( P = .019) were positively associated with pathologic complete response. Exploratory analysis in this pEGFR/pHER2–activated TN subgroup identified elevated levels of estrogen receptor α ( P < .006) in these patients. Conclusion Activation of HER family phosphoproteins associates with response to neratinib, but only EGFR Y1173 and STMN1 appear to add value to the graduating signature. Activation of HER2 and EGFR in TN tumors may identify patients whose diseases respond to neratinib and implies that there is a subset of patients with TN disease who paradoxically exhibit HER family signaling activation and may achieve clinical benefit with neratinib; this concept must be validated in future studies.

Background: We hypothesize that response to the pan-ERBB inhibitor, neratinib (N), may be predicted by pre-treatment HER2-EGFR signaling. In the I-SPY 2 TRIAL, N graduated in the HR-/HER2+ signature. All patients received at least standard chemotherapy. For HER2+ patients, N was administered in place of trastuzumab. We evaluated 18 HER family signaling proteins as biomarkers of N response using reverse phase protein microarray (RPMA) data from pre-treatment LCM purified tumor epithelium. Methods: 168 patients (N: 106, concurrent controls: 62) had RPMA and pCR data. 18 biomarkers relating to HER family signaling were evaluated: AKT S473, AKT T308, EGFR, EGFR Y1068, EGFR Y1148, EGFR Y1173, EGFR Y992, ERBB2, ERBB2 Y1248, ERBB3 total, ERBB3 Y1289, ERK1/2 T202/Y204, Heregulin, mTOR, mTOR S2448, PI3K p85 Y458/p55 Y199, PTEN S380, and SHC Y317. We assessed association between biomarker and response in the N and control arms alone (likelihood ratio test), and relative performance between arms (biomarker x treatment interaction) using a logistic model. Analysis was also performed adjusting for HR/HER2 status. In an exploratory analysis, we selected the marker with the greatest interaction (phosphorylated EGFR (Y1173)) to dichotomize patients optimally based on the data and assessed it in the context of the graduating signature by adding the EGFR Y1173-High patients to the HR-/HER2+ subtype and evaluating the treatment effect in this ‘biomarker-positive’ group. Our study is exploratory with no claims for generalizability of the data and does not account for multiplicities. Statistical calculations are descriptive (e.g. p-values are measures of distance with no inferential content). Results: 7 HER pathway markers (EGFR Y1068, EGFR Y1173, EGFR Y992, ERBB2 total, ERBB2 Y1248, ERBB3 Y1289, SHC Y317) are associated with response in the N but not the control arm. However, the difference in performance between arms did not reach significance by permutation testing. Adjusting for HR/HER2 status, EGFR Y1173 shows a significant biomarker x treatment interaction (p = 0.049). In an exploratory analysis, we dichotomized patients by their EGFR Y1173 levels and evaluated the distribution of pCR rates (Table 1). Neratinib (n=106)Control (n=62)EGFR Y1173 Low (n=31)EGFR Y1173 High (n=75)EGFR Y1173 Low (n=29)EGFR Y1173 High (n=33)HR-/HER2+ (n=28)0 / 412 / 181 / 11 / 5Not HR-/HER2+ (n=140)3 / 2724 / 575 / 285 / 28Table 1 OR between EGFR Y1173 groups in the N relative to control arm is 10.1. When EGFR Y1173 High patients are added to the graduating HR-/HER2+ subset, the OR associated with treatment is 3.2 and is comparable to that in the HR-/HER2+ signature (OR: 2.1), while increasing the prevalence of biomarker-positive patients by ∼50%. Evaluation of EGFR Y1173 under the I-SPY 2 Bayesian model is pending. Conclusion: Our sample size is too small to draw definitive conclusions. Our exploratory analysis reveals that HER family phosphoproteins associate with response to N, but only phosphorylated EGFR Y1173 appears to add value to the graduating signature. Given that this biomarker would expand the patient population that may benefit, it merits evaluation in other ongoing trials of neratinib. Citation Format: Julia D Wulfkuhle, Christina Yau, Denise M Wolf, Rosa I Gallagher, Ashish Sanil, Lamorna Brown-Swigart, Susan Flynn, Gillian Hirst, I-SPY 2 TRIAL Investigators, Meredith Buxton, Angela DeMichele, Nola Hylton, William F Symmans, Laura van't Veer, Douglas Yee, Melissa Paoloni, Laura Esserman, Donald Berry, Minetta C Liu, John W Park, Emanuel F Petricoin III. Evaluation of HER family protein signaling network as a predictive biomarker for pCR for breast cancer patients treated with neratinib in the I-SPY 2 trial [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-06-15.

Reverse phase protein array (RPPA) technology evolved from the advent of miniaturized immunoassays and gene microarray technology. Reverse phase protein arrays provide either a low throughput or high throughput methodology for quantifying proteins and their post-translationally modified forms in both cellular and non-cellular samples. As the demand for patient tailored therapies increases so does the need for precise and sensitive technology to accurately profile the molecular circuitry driving an individual patient's disease. RPPAs are currently utilized in clinical trials for profiling and comparing the functional state of protein signaling pathways, either temporally within tumors, between patients, or within the same patients before/after treatment. RPPAs are generally employed for quantifying large numbers of samples on one array, under identical experimental conditions. However, the goal of personalized cancer medicine is to design therapies based on the molecular portrait of a patient's tumor, which in turn result in more efficacious treatments with less toxicity. Therefore, RPPAs are also being validated for low throughput assays of individual patient samples. This review explores RPPA technology in the cancer research field, concentrating on its role as a fundamental tool for deciphering protein signaling networks and its emerging role in personalized medicine.

Cheiracanthium inclusum (Hentz), a hunting spider, feeds on eggs of Helicoverpa zea (Boddie) and other moths. This study investigated whether C. inclusum can use chemical compounds present in H. zea scales and egg residues as kairomones to find these non-motile prey items. In a series of no- choice tests, spiders were presented with a piece of florist paper containing scales alone, scales + egg residues, or untreated controls. Next, spiders were presented with solvent extracts of either scales or eggs. Polar and non-polar solvents were used in the extractions. Contact with scales alone, scales + egg residues, and non-polar solvent extracts of both scales and eggs resulted in retention and/or induction of local searching behavior. Extracts made with polar solvents induced no apparent response, indicating that the chemostimulatory compounds are lipophilic. These results show that C. inclusum responds to kairomones left by ovipositing H. zea and use these chemical cues to detect and locate H. zea eggs.

12103Background: Trebananib (T), an angiopoietin 1/2 neutralizing peptibody that inhibits interaction with TIE2 receptors, was available to all HR/HER2 subtypes in the I-SPY2 TRIAL. The agent did n...

The mechanisms by which cancer cell-intrinsic CYP monooxygenases promote tumor progression are largely unknown. CYP3A4 was unexpectedly associated with breast cancer mitochondria and synthesized arachidonic acid (AA)-derived epoxyeicosatrienoic acids (EETs), which promoted the electron transport chain/respiration and inhibited AMPKα. CYP3A4 knockdown activated AMPKα, promoted autophagy, and prevented mammary tumor formation. The diabetes drug metformin inhibited CYP3A4-mediated EET biosynthesis and depleted cancer cell-intrinsic EETs. Metformin bound to the active site heme of CYP3A4 in a co-crystal structure, establishing CYP3A4 as a biguanide target. Structure-based design led to discovery of N1-hexyl-N5-benzyl-biguanide (HBB), which bound to the CYP3A4 heme with higher affinity than metformin. HBB potently and specifically inhibited CYP3A4 AA epoxygenase activity. HBB also inhibited growth of established ER+ mammary tumors and suppressed intratumoral mTOR. CYP3A4 AA epoxygenase inhibition by biguanides thus demonstrates convergence between eicosanoid activity in mitochondria and biguanide action in cancer, opening a new avenue for cancer drug discovery.

Ibrutinib (IBR), an inhibitor of Bruton's Tyrosine Kinase (BTK), has been FDA approved for Chronic Lymphocytic Leukemia (CLL) and Mantle Cell Lymphoma (MCL). However, IBR responses are incomplete in most cases, and of short duration for MCL and higher-risk CLL subtypes. We hypothesize that intrinsic resistance, incomplete responses, and rapid recurrence can be due to adaptive signaling that should be co-targeted with BTK inhibition to achieve deeper and more durable responses. We previously showed that venetoclax (VEN), an inhibitor of Bcl-2, generated synergistic cytotoxicity with IBR in MCL lines as well as circulating leukemic B cells in 13/19 CLL and 4/5 MCL patient samples treated ex vivo (Jayappa KD et al. ASH 2015; Portell CA et al. ASH 2014). However, the sensitivity to VEN or IBR+VEN was highly variable among patient samples, and did not correlate with the diagnostic genetic lesions in the CLL/MCL cells or clinical characteristics of the patients. Here, we show that resistance to IBR+VEN can be induced by interaction with soluble factors found in the in vivo "macroenvironment" of the circulating cancer cells. To gain insight into changes in signaling pathways that might underlie mechanisms of drug synergy and resistance, we analyzed drug resistant MCL lines treated with IBR, VEN, and the combination by Reverse Phase Protein Arrays. We observed downregulation of PI3K-Akt, MAPK, JAK-STAT, and NOTCH signaling after IBR and IBR+VEN treatment, cleavage of caspases and PARP after VEN-treatment, and greatly enhanced cleavage of caspases and PARP after IBR+VEN treatment. A notable exception was significantly increased phosphorylation on p65 S536 of the NF-kB pathway at longer times after IBR+VEN treatment, indicating a possible role of NF-kB signalling in generating resistance to IBR and VEN in cells that survived treatment. To determine whether extrinsic factors in the cancer cell environment might be able to induce a drug-resistant phenotype, we co-cultured or pre-incubated PBMC with a diverse panel of stromal cells, cytokines, and other agonists. We found that the combination of soluble CD40L, IL-10, and CpG DNA (agonist mix) generated nearly complete resistance to IBR+VEN in CLL and MCL patient samples, with CpG DNA being the most effective single agent. Every sample treated with agonist mix displayed increased resistance to IBR+VEN drug combination, suggesting that responsiveness transcends genetic heterogeneity and reflects the developmental lineage of the cancer cells. We investigated whether the extrinsic agonists induce drug resistance by activating the NF-κB pathway, by analyzing nuclear localization of NF-kB transcription factors RelA and RelB using ImageStream and cell fractionation. We observed robust activation of alternative-NF-kB signaling in primary CLL and MCL cells treated with agonist mix, with little effect on canonical NF-κB. PKC, MAPK and PI3K-Akt signaling also showed evidence of activation by agonist mix. Agonist mix treatment also caused significant overexpression of anti-apoptotic proteins Mcl-1, Bcl-xL, and survivin, but not Bcl-2. Inhibitors of NF-κB blocked RelB translocation and overexpression of Mcl-1, Bcl-xL and survivin. Inhibitors of NF-kB or of upregulated anti-apoptotic proteins overcame drug resistance induced by agonist mix. Inhibitors of the other activated pathways (MAPK, PI3K-Akt, PKC) did not block agonist-induced drug resistance at pharmacologically relevant concentrations. To determine whether extra-nodal agonists in the blood of patients could generate resistance to IBR and VEN, we analyzed drug cytotoxicity in CLL patient PBMCs cultured with autologous plasma. We found that autologous plasma was able to induce increased resistance to IBR+VEN in 3/7 CLL samples and this resistance was blocked by treatment with an NF-kB inhibitor. In conclusion, soluble agonists in the patient macroenvironment of circulating CLL/MCL cells can generate resistance to IBR+VEN by activating alternative-NF-kB signaling and over-expression of multiple anti-apoptotic proteins. Inhibitors of NF-kB or of the upregulated anti-apoptotic proteins overcame IBR+VEN resistance generated by these extrinsic factors. We suggest that survival signals generated by extra-nodal agonists in the patient macroenvironment generate drug resistance in CLL and MCL, and that improved responses could occur with interventions that block these survival signals. Disclosures Portell: AbbVie: Research Funding; Roche/Genentech: Research Funding; Infinity: Research Funding; Acerta: Research Funding. Wulfkuhle:Theranostics Health, LLC: Equity Ownership. Petricoin:Perthera, Inc.: Consultancy, Equity Ownership; Ceres Nanosciences, Inc.: Consultancy, Equity Ownership, Patents & Royalties; Avant Diagnostics, Inc.: Equity Ownership. Williams:University of Virginia: Employment; Janssen and Pharmacyclics: Research Funding.

The Reverse Phase Protein Microarray (RPMA) is an array platform used to quantitate proteins and their posttranslationally modified forms. RPMAs are applicable for profiling key cellular signaling pathways and protein networks, allowing direct comparison of the activation state of proteins from multiple samples within the same array. The RPMA format consists of proteins immobilized directly on a nitrocellulose substratum. The analyte is subsequently probed with a primary antibody and a series of reagents for signal amplification and detection. Due to the diversity, low concentration, and large dynamic range of protein analytes, RPMAs require stringent signal amplification methods, high quality image acquisition, and software capable of precisely analyzing spot intensities on an array. Microarray detection strategies can be either fluorescent or colorimetric. The choice of a detection system depends on (a) the expected analyte concentration, (b) type of microarray imaging system, and (c) type of sample. The focus of this chapter is to describe RPMA detection and imaging using fluorescent and colorimetric (diaminobenzidine (DAB)) methods.

BACKGROUND: While it is accepted that a majority of invasive breast cancer progresses from a ductal carcinoma in situ (DCIS) precursor stage, very little is known about the factors that promote survival of DCIS neoplastic cells within the hypoxic, nutrient deprived intraductal microenvironment. METHODOLOGY AND PRINCIPAL FINDINGS: We examined the hypothesis that fresh human DCIS lesions contain pre-existing carcinoma precursor cells. We characterized these cells by full genome molecular cytogenetics (Illumina HumanCytoSNP profile), and signal pathway profiling (Reverse Phase Protein Microarray, 59 endpoints), and demonstrated that autophagy is required for survival and anchorage independent growth of the cytogenetically abnormal tumorigenic DCIS cells. Ex vivo organoid culture of fresh human DCIS lesions, without enzymatic treatment or sorting, induced the emergence of neoplastic epithelial cells exhibiting the following characteristics: a) spontaneous generation of hundreds of spheroids and duct-like 3-D structures in culture within 2-4 weeks; b) tumorigenicity in NOD/SCID mice; c) cytogenetically abnormal (copy number loss or gain in chromosomes including 1, 5, 6, 8, 13, 17) compared to the normal karyotype of the non-neoplastic cells in the source patient's breast tissue; d) in vitro migration and invasion of autologous breast stroma; and e) up-regulation of signal pathways linked to, and components of, cellular autophagy. Multiple autophagy markers were present in the patient's original DCIS lesion and the mouse xenograft. We tested whether autophagy was necessary for survival of cytogenetically abnormal DCIS cells. The lysosomotropic inhibitor (chloroquine phosphate) of autophagy completely suppressed the generation of DCIS spheroids/3-D structures, suppressed ex vivo invasion of autologous stroma, induced apoptosis, suppressed autophagy associated proteins including Atg5, AKT/PI3 Kinase and mTOR, eliminated cytogenetically abnormal spheroid forming cells from the organ culture, and abrogated xenograft tumor formation. CONCLUSIONS: Cytogenetically abnormal spheroid forming, tumorigenic, and invasive neoplastic epithelial cells pre-exist in human DCIS and require cellular autophagy for survival.

Background: Identification of alternative therapeutic strategies is critically needed for patients who do not achieve complete clinical response in the neoadjuvant setting, and in particular, from that cohort with the most aggressive disease (shortest relapse-free survival (RFS)). The I-SPY 1 TRIAL (CALGB 150007/150012, ACRIN 6657) is a trial of neoadjuvant anthracycline- and taxane-based chemotherapy that provides longitudinal biopsy specimens and extensive molecular and clinical/pathological characterization of non-responding patients. Methods: Tumor epithelium was procured by Laser Capture Microdissection (LCM) from frozen surgical specimens of 27 patients who did not achieve complete pathological response in the I-SPY1 TRIAL. Reverse Phase Protein Microarray (RPPA) technology was used to measure the levels of 120 key signaling proteins including drug targets for Phase I-III and FDA-approved therapeutics. Cox proportional hazard univariate and multivariate analyses were used to evaluate RFS correlates. Significance threshold was p = Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P6-04-01.

Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL An urgent clinical goal is to identify subpopulations of cancer patients that may respond to targeted kinase inhibitors and/or their phosphorylated substrates. Consequently, phosphorylated signal pathway proteins have emerged as a critical class of analytes for therapeutic stratification. Technologies now exist that can measure protein phosphorylations and map cell signaling pathways in a single core-needle biopsy, thus relying on the inhibition of any kinase/phosphatase activity within the sample immediately following excision. Unfortunately applying these technologies to clinical samples has been hindered because phosphoprotein epitopes are not adequately preserved by formalin fixation and paraffin embedding, while freezing tissue samples may not be feasible in multi-center clinical trial sites and cannot adequately preserve morphology. To facilitate clinical trial molecular profiling, where immediate snap-freezing of tumor biopsies is not feasible, we have created a novel, one-step, room temperature preservative that stabilizes proteins/phosphoproteins equivalent to snap-freezing and tissue/cell morphology equivalent to neutral buffered formalin fixation. In addition, our preservative solution simultaneously fixes and decalcifies bony tissue, thus permitting molecular profiling of bony tissues that was never before possible. We have utilized our Biomarker and Histology Preservative (BHP-Cell and/or BHP-Tissue) in a breast cancer multi-site clinical trial (US Oncology 05-074/GSK LPT109096) and a clinical research multiple myeloma trial. BHP has been validated to a) function as a transport medium while preserving histomorphology, b) maintain full antigenicity for clinical immunohistochemistry (such as Ki-67, ER, PR, Her2, p63, and phosphorylated epitopes), c) preserve phosphoprotein epitopes for cell signaling pathway profiling by reverse phase protein microarray (RPMA), d) be compatible with frozen sections or paraffin embedding, and e) obviate the need for additional decalcification. Preservation of tissue morphology has been demonstrated in 25 mouse, feline, and human tissues with enhanced immunohistochemical properties for >20 antigens using standard IHC protocols. RPMA data from [LPT10906][1] shows differentially deranged signaling networks in the pre-treatment biopsies for patients that did not have a pathologic complete response compared to responders. Our multiple myeloma trial quantifies cell signaling pathway expression pre/post kinase inhibitor treatment, in an ex vivo treatment model, on both myeloma and bone marrow cells, preserved in BHP. We are currently evaluating the integrity of nucleic acid preservation in parallel with proteins to provide a universal one step biospecimen tissue fixative for clinical trials. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1265. doi:1538-7445.AM2012-1265 [1]: /lookup/external-ref?link_type=GENPEPT&access_num=LPT10906&atom=%2Fcanres%2F72%2F8_Supplement%2F1265.atom

Introduction The human epidermal growth factor receptor 2 (HER2) receptor tyrosine kinase (RTK) oncogene is an attractive therapeutic target for the treatment of HER2-addicted tumors. Although lapatinib, an FDA-approved small-molecule HER2 and epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI), represents a significant therapeutic advancement in the treatment of HER2+ breast cancers, responses to lapatinib have not been durable. Consequently, elucidation of mechanisms of acquired therapeutic resistance to HER-directed therapies is of critical importance. Methods Using a functional protein-pathway activation mapping strategy, along with targeted genomic knockdowns applied to a series of isogenic-matched pairs of lapatinib-sensitive and resistant cell lines, we now report an unexpected mechanism of acquired resistance to lapatinib and similar TKIs. Results The signaling analysis revealed that whereas HER2 was appropriately inhibited in lapatinib-resistant cells, EGFR tyrosine phosphorylation was incompletely inhibited. Using a targeted molecular knockdown approach to interrogate the causal molecular underpinnings of EGFR-persistent activation, we found that lapatinib-resistant cells were no longer oncogene addicted to HER2-HER3-PI3K signaling, as seen in the parental lapatinib-sensitive cell lines, but instead were dependent on a heregulin (HRG)-driven HER3-EGFR-PI3K-PDK1 signaling axis. Two FDA-approved EGFR TKIs could not overcome HRG-HER3-mediated activation of EGFR, or reverse lapatinib resistance. The ability to overcome EGFR-mediated acquired therapeutic resistance to lapatinib was demonstrated through molecular knockdown of EGFR and treatment with the irreversible pan-HER TKI neratinib, which blocked HRG-dependent phosphorylation of HER3 and EGFR, resulting in apoptosis of resistant cells. In addition, whereas HRG reversed lapatinib-mediated antitumor effects in parental HER2+ breast cancer cells, neratinib was comparatively resistant to the effects of HRG in parental cells. Finally, we showed that HRG expression is an independent negative predictor of clinical outcome in HER2+ breast cancers, providing potential clinical relevance to our findings. Conclusions Molecular analysis of acquired therapeutic resistance to lapatinib identified a new resistance mechanism based on incomplete and "leaky" inhibition of EGFR by lapatinib. The selective pressure applied by incomplete inhibition of the EGFR drug target resulted in selection of ligand-driven feedback that sustained EGFR activation in the face of constant exposure to the drug. Inadequate target inhibition driven by a ligand-mediated autocrine feedback loop may represent a broader mechanism of therapeutic resistance to HER TKIs and suggests adopting a different strategy for selecting more effective TKIs to advance into the clinic.