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ObjectiveThis study aimed to develop a blood test for the prediction of pre-eclampsia (PE) early in gestation. We hypothesised that the longitudinal measurements of circulating adipokines and sphingolipids in maternal serum over the course of pregnancy could identify novel prognostic biomarkers that are predictive of impending event of PE early in gestation.Study designRetrospective discovery and longitudinal confirmation.SettingMaternity units from two US hospitals.ParticipantsSix previously published studies of placental tissue (78 PE and 95 non-PE) were compiled for genomic discovery, maternal sera from 15 women (7 non-PE and 8 PE) enrolled at ProMedDx were used for sphingolipidomic discovery, and maternal sera from 40 women (20 non-PE and 20 PE) enrolled at Stanford University were used for longitudinal observation.Outcome measuresBiomarker candidates from discovery were longitudinally confirmed and compared in parallel to the ratio of placental growth factor (PlGF) and soluble fms-like tyrosine kinase (sFlt-1) using the same cohort. The datasets were generated by enzyme-linked immunosorbent and liquid chromatography-tandem mass spectrometric assays.ResultsOur discovery integrating genomic and sphingolipidomic analysis identified leptin (Lep) and ceramide (Cer) (d18:1/25:0) as novel biomarkers for early gestational assessment of PE. Our longitudinal observation revealed a marked elevation of Lep/Cer (d18:1/25:0) ratio in maternal serum at a median of 23 weeks’ gestation among women with impending PE as compared with women with uncomplicated pregnancy. The Lep/Cer (d18:1/25:0) ratio significantly outperformed the established sFlt-1/PlGF ratio in predicting impending event of PE with superior sensitivity (85% vs 20%) and area under curve (0.92 vs 0.52) from 5 to 25 weeks of gestation.ConclusionsOur study demonstrated the longitudinal measurement of maternal Lep/Cer (d18:1/25:0) ratio allows the non-invasive assessment of PE to identify pregnancy at high risk in early gestation, outperforming the established sFlt-1/PlGF ratio test.

Biomarcadores del cáncer; Cáncer metástico colorrectal; Terapias experimentales Cancer biomarkers; Colorectal metastatic cancer; Experimental therapies Biomarcadors del càncer; Càncer metastàtic colorrectal; Teràpies experimentals Protein biomarkers are widely used in cancer diagnosis, prognosis, and prediction of treatment response. Here we introduce the use of targeted multiplex proteomics (TMP) as a tool to simultaneously measure a panel of 54 proteins involved in oncogenic, tumour suppression, drug metabolism and resistance, in patients with metastatic colorectal cancer (mCRC). TMP provided valuable diagnostic information by unmasking an occult neuroendocrine differentiation and identifying a misclassified case based on abnormal proteins phenotype. No significant differences in protein levels between unpaired primary and metastatic samples were observed. Four proteins were found differentially expressed in KRAS-mutant as compared to wild-type tumours (overexpressed in mutant: KRAS, EGFR; overexpressed in wild-type: TOPO1, TOP2A). Survival analyses revealed the association between mesothelin expression and poor overall survival, whereas lack of PTEN protein expression associated with lower progression-free survival with anti-EGFR-based therapy in the first-line setting for patients with RAS wild-type tumour. Finally, outlier analysis identified putative targetable proteins in 65% of patients lacking a targetable genomic alteration. Our data show that TMP constitutes a promising, novel molecular prescreening tool in mCRC to identify protein expression alterations that may impact on patient outcomes and more precisely guide patient eligibility to clinical trials with novel targeted experimental therapies.

Colorectal cancer (CRC), a disease of high incidence and mortality, has had few treatment advances owing to a large degree of inter- and intratumoral heterogeneity. Attempts to classify subtypes of colorectal cancer to develop treatment strategies has been attempted by Consensus Molecular Subtypes (CMS) classification. However, the cellular etiology of CMS classification is incompletely understood and controversial. Here, we generated and analyzed a single-cell transcriptome atlas of 49,859 CRC cells from 16 patients, validated with an additional 31,383 cells from an independent CRC patient cohort. We describe subclonal transcriptomic heterogeneity of CRC tumor epithelial cells, as well as discrete stromal populations of cancer-associated fibroblasts (CAFs). Within CRC CAFs, we identify the transcriptional signature of specific subtypes (CAF-S1 and CAF-S4) in more than 1,500 CRC patients using bulk transcriptomic data that significantly stratifies overall survival in multiple independent cohorts. We also uncovered two CAF-S1 subpopulations, ecm-myCAF and TGFß-myCAF, known to be associated with primary resistance to immunotherapies. We demonstrate that scRNA analysis of malignant, stromal, and immune cells exhibit a more complex picture than portrayed by bulk transcriptomic-based Consensus Molecular Subtypes (CMS) classification. By demonstrating an abundant degree of heterogeneity amongst these cell types, our work shows that CRC is best represented in a transcriptomic continuum crossing traditional classification systems boundaries. Overall, this CRC cell map provides a framework to re-evaluate CRC tumor biology with implications for clinical trial design and therapeutic development.

Objective To evaluate whether longitudinal measurements of serological adipokines and sphingolipids can predict preeclampsia early in gestation. Design Retrospective multi-omics discovery and longitudinal validation. Setting Maternity units in two US hospitals. Methods A multi-omics approach integrating genomic and lipidomic discoveries was employed to identify leptin (Lep) and ceramide (Cer) as novel PE early gestational biomarkers. The levels of placental growth factor (PlGF), soluble fms-like tyrosine kinase (sFlt-1), Lep, and Cer in maternal sera were then determined by enzyme-linked immunosorbent and liquid chromatography-tandem mass spectrometric assays. Main outcome measures Interval from positive prediction to confirmative diagnosis. Results Genomic meta-analysis compiled six PE placental cohorts with 78 PE and 95 non-PE control placentas. The Testing Cohort included sera from 7 non-PE and 8 PE women collected at confirmatory diagnosis. The Validation Cohort included sera from 20 non-PE and 20 PE women collected longitudinally through gestation. Our findings revealed a marked elevation of maternal serum Leptin/Ceramide (d18:1/25:0) ratio from early gestation (a median of 23 weeks) when comparing later PE-complicated with uncomplicated pregnancies. The maternal Lep/Cer (d18:1/25:0) ratio significantly outperformed the established sFlt-1/PlGF ratio in predicting PE for sensitivity (85% vs. 40%), positive predictive value (89% vs. 42%), and AUC (0.92 vs. 0.52) from 5 to 25 weeks of gestation. Conclusions Non-invasive longitudinal assessment by serological evaluation of Lep/Cer (d18:1/25:0) ratio can case find early pregnancies at risk of preeclampsia, outperforming sFlt-1/PlGF ratio test. Tweetable abstract Non-invasive longitudinal assessment by serological evaluation of Lep and Cer ratio can predict preeclampsia early in gestation.

Amplification of and oncogenic mutations in ERBB2, the gene encoding the HER2 receptor tyrosine kinase, promote receptor hyperactivation and tumor growth. Here we demonstrate that HER2 ubiquitination and internalization, rather than its overexpression, are key mechanisms underlying endocytosis and consequent efficacy of the anti-HER2 antibody–drug conjugates (ADC) ado-trastuzumab emtansine (T-DM1) and trastuzumab deruxtecan (T-DXd) in lung cancer cell lines and patient-derived xenograft models. These data translated into a 51% response rate in a clinical trial of T-DM1 in 49 patients with ERBB2-amplified or -mutant lung cancers. We show that cotreatment with irreversible pan-HER inhibitors enhances receptor ubiquitination and consequent ADC internalization and efficacy. We also demonstrate that ADC switching to T-DXd, which harbors a different cytotoxic payload, achieves durable responses in a patient with lung cancer and corresponding xenograft model developing resistance to T-DM1. Our findings may help guide future clinical trials and expand the field of ADC as cancer therapy.Significance:T-DM1 is clinically effective in lung cancers with amplification of or mutations in ERBB2. This activity is enhanced by cotreatment with irreversible pan-HER inhibitors, or ADC switching to T-DXd. These results may help address unmet needs of patients with HER2-activated tumors and no approved targeted therapy.See related commentary by Rolfo and Russo, p. 643.This article is highlighted in the In This Issue feature, p. 627

Ceramides and dihydroceramides are sphingolipids that present in abundance at the cellular membrane of eukaryotes. Although their metabolic dysregulation has been implicated in many diseases, our knowledge about circulating ceramide changes during the pregnancy remains limited. In this study, we present the development and validation of a high-throughput liquid chromatography-tandem mass spectrometric (LC/MS/MS) method for simultaneous quantification of 16 ceramides and 10 dihydroceramides in human serum within 5 mins by using stable isotope-labeled ceramides as internal standards (ISs). This method employs a protein precipitation method for high throughput sample preparation, reverse phase isocratic elusion for chromatographic separation, and Multiple Reaction Monitoring (MRM) for mass spectrometric detection. To qualify for clinical applications, our assay was validated against the FDA guidelines: the Lower Limit of Quantitation (LLOQ as low as 1 nM), linearity (R2>0.99), precision (Coefficient of Variation90%), stability (>85%), and carryover (

Most patients with KRASG12C–mutant non–small cell lung cancer (NSCLC) experience clinical benefit from selective KRASG12C inhibition, whereas patients with colorectal cancer bearing the same mutation rarely respond. To investigate the cause of the limited efficacy of KRASG12C inhibitors in colorectal cancer, we examined the effects of AMG510 in KRASG12C colorectal cancer cell lines. Unlike NSCLC cell lines, KRASG12C colorectal cancer models have high basal receptor tyrosine kinase (RTK) activation and are responsive to growth factor stimulation. In colorectal cancer lines, KRASG12C inhibition induces higher phospho-ERK rebound than in NSCLC cells. Although upstream activation of several RTKs interferes with KRASG12C blockade, we identify EGFR signaling as the dominant mechanism of colorectal cancer resistance to KRASG12C inhibitors. The combinatorial targeting of EGFR and KRASG12C is highly effective in colorectal cancer cells and patient-derived organoids and xenografts, suggesting a novel therapeutic strategy to treat patients with KRASG12C colorectal cancer. Significance: The efficacy of KRASG12C inhibitors in NSCLC and colorectal cancer is lineage-specific. RTK dependency and signaling rebound kinetics are responsible for sensitivity or resistance to KRASG12C inhibition in colorectal cancer. EGFR and KRASG12C should be concomitantly inhibited to overcome resistance to KRASG12C blockade in colorectal tumors. See related commentary by Koleilat and Kwong, p. 1094. This article is highlighted in the In This Issue feature, p. 1079

3613 Background: One-third of colorectal cancer (CRC) recurs following curative surgery and chemotherapy. Accordingly, novel methods are needed to predict recurrence to enable clinical course mitigating strategies. Serial monitoring of plasma by mass spectrometry (MS) and multi-omics modeling (MMO) of CRC relapse chronology provide the framework for liquid biopsy test development to supersede existing imaging modalities such as CT scans according to relapse related pathologies. We hypothesized that plasma MS and MMO analysis of relapse related pathologies can deconvolute high risk stratification for CRC recurrence within the cancer continuum of care pre/post-surgery and/or pre/post adjuvant chemotherapy (ACT). Methods: 189 CRC patients (Stage I-III) underwent one of three treatment modalities: Modality 1 (Surgery followed by ACT), Modality 2 (Surgery only), Modality 3 (Neoadjuvant chemotherapy followed by surgery and ACT). Plasma samples (n = 441) were collected from patients before surgery, 30 days post-op, and every 3 months until death or month 24 whichever came first. The MMO approach was used to analyze biological features encompassing native peptides, proteins, metabolites, lipids, and ceramides. MMO panels were developed comprising the significantly perturbed features as per the treatment modalities. These panels were used to predict relapse from plasma collected pre-op, 30-day post-op or after adjuvant chemotherapy. CEA levels were monitored in parallel. Results: Follow-up data was available for 135 patients (Stage I-III) and 25/135 had evidence of radiological recurrence. Irrespective of the treatment modality, longitudinal follow-up using the MMO panel was able to predict disease recurrence greater than 7 months before clinical progression was confirmed by CT scan. There was no significant correlation between longitudinal CEA levels and recurrence status, hence CEA levels alone did not provide any lead time advantage over the MMO panel or radiological surveillance. Kaplan-Meier (KM) survival analysis revealed that patients that were MMO panel positive had a poor survival irrespective of treatment modalities used: Modality 1 (HR = 6.2, p value = 0.003, test immediately post-surgery and immediately before ACT; HR = 31.6, p value = 0.01, test immediately after ACT); Modality 2 (HR = 11.2; p value = 0.01, test immediately after-surgery); Modality 3 (HR > 40, p value = 0.08, test immediately after neo-ACT and before-surgery; HR > 40, p value = 0.004, test immediately after-surgery). Conclusions: The MMO panel predicts CRC recurrence several months prior to detection by conventional CT scans, thus providing opportunity for alternative therapeutic strategies much earlier in the disease course.

Background A wide range of response rates have been reported in HER2-positive gastric cancer (GC) patients treated with trastuzumab. Other HER2-targeted therapies for GC have yet to show efficacy in clinical trials. These findings raise question about the ability of standard HER2 diagnostics to accurately distinguish between GC patients who would and would not benefit from anti-HER2 therapies. Patients and methods GC patients (n = 237), including a subset from the Trastuzumab in GC (ToGA) trial were divided into three groups based on HER2 status and history of treatment with standard chemotherapy or chemotherapy plus trastuzumab. We applied mass spectrometry-based proteomic analysis to quantify HER2 protein expression in formalin-fixed tumor samples. Using HER2 expression as a continuous variable, we defined a predictive protein level cutoff to identify which patients would benefit from trastuzumab. We compared quantitated protein level with clinical outcome and HER2 status as determined by conventional HER2 diagnostics. Results Quantitative proteomics detected a 115-fold range of HER2 protein expression among patients diagnosed as HER2 positive by standard methods. A protein level of 1825 amol/µg was predicted to determine benefit from the addition of trastuzumab to chemotherapy. Trastuzumab treated patients with HER2 protein levels above this cutoff had twice the median overall survival (OS) of their counterparts below the cutoff (35.0 versus 17.5 months, P = 0.011). Conversely, trastuzumab-treated patients with HER2 levels below the cutoff had outcomes similar to HER2-positive patients treated with chemotherapy. (Progression-free survival = 7.0 versus 6.5 months: P = 0.504; OS = 17.5 versus 12.6 months: P = 0.520). HER2 levels were not prognostic for response to chemotherapy. Conclusions Proteomic analysis of HER2 expression demonstrated a quantitative cutoff that improves selection of GC patients for trastuzumab as compared with current diagnostic methods.

PURPOSE: Understanding the molecular landscape of glioblastoma (GBM) is increasingly important in the age of targeted therapy. O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation and EGFR amplification are markers that may play a role in prognostication, treatment, and/or clinical trial eligibility. Quantification of MGMT and EGFR protein expression may offer an alternative strategy towards understanding GBM. Here, we quantify baseline expression of MGMT and EGFR protein in newly diagnosed GBM samples using mass spectrometry. We correlate findings with MGMT methylation and EGFR amplification statuses and survival. METHODS: We retrospectively identified adult patients with newly diagnosed resected GBM. MGMT and EGFR protein expression were quantified using a selected reaction monitoring mass spectrometry assay. Protein levels were correlated with MGMT methylation and EGFR amplification and survival data. RESULTS: We found a statistically significant association between MGMT protein expression and promoter methylation status (p=0.02) as well as between EGFR protein expression and EGFR amplification (p

97 Background: The incidence and mortality of early-onset colorectal cancer (EO-CRC) is on the rise. Consequently, there is an urgent unmet need to better understand their unique tumor biology to expand therapeutic options and improve clinical outcomes. Methods: Exploratory Targeted multiplex proteomics (TMP) and targeted 648 gene panel was performed on specimens from 35 patients with resected colon cancer diagnosed at age < = 40 years. TMP panel consisted of 72 proteins involved in differentiation, tumorigenesis, and response to chemotherapy, targeted therapy, and immunotherapy. Clinicopathologic and genomic data were also collected. Results: The median age of diagnosis was 33 years. The cohort included 15 male and 20 female patients. 20 (57%) had left-sided tumors and 6 (17%) had stage IV disease. Notable genomic alterations included mutations in: BRAF V600E (2/35); RAS (15/35); PIK3CA exon 9 or 20 (5/35); and ERBB2 (2/35). One patient exhibited ERBB2 amplification. 9/35 tumors were MSI-H. TMP analysis revealed overexpression of chemotherapy resistance proteins in several patients: ALDH1A1:16/35; ERCC1:1/35; GART:26/35; MDR1:9/35; MGMT:5/35; RRM1:6/35; TUBB3:1/35; TYMS:2/35; XRCC1:11/35. In contrast, some tumors exhibited elevated biomarkers of chemosensitivity: hENT1:8/35; DHFR:12/35; TYMP:15/35; OPRT:8/35; SLFN11:1/35; TLE:11/35; TOPO1:12/35; TOPO2A:1/35. Protein targets of cell signaling pathways were overexpressed in a number of tumors: CAT:16/35; CAV-1: 6/35; CBL:2/35; E-Cadherin: 19/35; HSP90A:16/35; HSP90B:18/35; MET:5/35; NQO1:18/35; paxillin:4/35; SRC:21/35; STAT3:11/35. Regarding EGFR and KRAS, none of the tumors exhibited elevated protein expression level. Furthermore, RAS mutational status did not correlate with the level of EGFR or KRAS protein expression. Antibody drug conjugate biomarkers were observed. HER2 overexpression was noted in one patient who had a confirmed ERBB2 amplification. Regarding immunotherapy targets, PDL-1 protein was not overexpressed in any tumor, whereas MSLN and TROP2 were elevated in 1/35 and 2/35 patients, respectively. Conclusions: TMP analysis of EO-CRC patients revealed marked heterogeneity in the expression of proteins involved in differentiation, tumorigenesis, and response to chemotherapy, targeted therapy, and immunotherapy. Differential protein expression may provide insight into therapeutic vulnerabilities for EO-CRC. Furthermore, the discordance between detected genomic alterations and protein expression levels highlights the complementary nature of genomic sequencing and TMP analysis.

Ceramides and dihydroceramides are sphingolipids that present in abundance at the cellular membrane of eukaryotes. Although their metabolic dysregulation has been implicated in many diseases, our knowledge about circulating ceramide changes during the pregnancy remains limited. In this study, we present the development and validation of a high-throughput liquid chromatography-tandem mass spectrometric method for simultaneous quantification of 16 ceramides and 10 dihydroceramides in human serum within 5 min. by using stable isotope-labeled ceramides as internal standards. This method employs a protein precipitation method for high throughput sample preparation, reverse phase isocratic elusion for chromatographic separation, and Multiple Reaction Monitoring for mass spectrometric detection. To qualify for clinical applications, our assay has been validated against the FDA guidelines for Lower Limit of Quantitation (1 nM), linearity (R2>0.99), precision (imprecision 90 %), stability (>85 %), and carryover (

Protein-targeted therapies are expected to selectively kill tumor cells that express the targeted protein biomarker. Although a tumor mass may initially respond to targeted therapies based on expression of the targeted protein, all cells within a tumor may not express the targeted protein above a critical threshold level; therefore, those cells that do not express, or that downregulate expression of, the targeted protein may not be responsive to therapy. The ability to monitor the dynamic expression of these protein biomarkers throughout the course of therapy may allow for treatment to be personalized in real-time in response to the evolving nature of the tumor. This report demonstrates, by monitoring a single patient through multiple therapies, how targeted mass spectrometry is an effective, quantitative method that provides real-time analysis of multiple therapeutically associated targeted proteins that can be used to personalize a patient's treatment strategy throughout the course of care.

Background Combined targeted strategy with letrozole (Le) and lapatinib (La) improves progression-free survival (PFS) in patients with metastatic breast cancer (MBC) co-expressing hormone receptor-positive (HR+) and HER2+ but not in HR+/HER2-negative (HER-) disease (Johnston J Clin Oncol 2009). However, among HER2+ tumors, quantitative levels of HER2 are heterogeneous with a broad dynamic range corresponding to approximately 163.7 to 17446.7 amol/µg as previously reported (Nuciforo SABCS 2014). In addition, within HER2- tumors, quantitative measurement of HER family proteins may identify those patients most likely to benefit from the addition of La to Le. In this retrospective study, we tested the prognostic and predictive ability of HER proteins quantification in clinically HER2+ tumor samples from the EGF30008 study. Methods Formalin-fixed paraffin-embedded primary tumor tissues sections from HER2+ MBC population were used. After laser microdissection, tissue lysates were prepared for selected reaction monitoring mass spectrometry (SRM-MS) analysis. Absolute quantitation was accomplished through simultaneous detection of endogenous target and synthetic labeled heavy peptide identical to analytical targets (EGFR, HER2, HER3). HER2 protein levels were correlated with PAM50 molecular subtypes, ERBB2 and ESR1 genes by nCounter. PFS and overall survival (OS) were analyzed by Kaplan–Meier and log-rank test. To determine whether HER2 protein levels were predictive of La benefit, we tested the interaction term of HER2 protein as a continuous variable by treatment arm in a Cox model. Results Within the HER2+ study cohort (n=219), 107 had an available tumor block; 84 cases had sufficient material for HER expression measurement by SRM-MS. Average HER2 levels were 2321.1 amol/ug (median, 817.6). HER2 levels were lower in Le+La (n=43; mean, 1761 amol/ug) compared to Le (n=41; mean, 2908 amol/ug) arms, although the difference was non-significant (p=0.108). No expression of EGFR and HER3 was observed. HER2 protein levels were significantly different among PAM50 subtypes with HER2-enriched (HER2E) tumors showing the highest expression followed by Basal-like, Luminal A, Luminal B, and Normal-like (p Conclusions Levels of HER2 protein in HER2+ MBC are extremely heterogeneous. An association between HER2 protein and gene expression by nCounter was observed. HER2E tumors by PAM50 showed the highest levels of HER2 protein. Within the group of HER2+ MBC by standard IHC/FISH, tumors with high HER2 protein had a statistically non-significant worse outcome and do not seem to benefit from La. Further validation of these findings is warranted. Citation Format: Nuciforo P, Thyparambil S, Galván P, Vilaro M, Jimenez J, Liao W-L, Cecchi F, Blackler A, Press MF, Gagnon R, Ellis C, Hembrough T, Johnston S, Prat A. Quantitative HER family proteins assessment as prognostic and predictive biomarkers in the EGF30008 clinical trial. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-07-08.

BACKGROUNDCrizotinib has antitumor activity in ALK (anaplastic lymphoma receptor tyrosine kinase)-rearranged non–small cell lung cancer (NSCLC). The current diagnostic test for ALK rearrangement is breakapart fluorescence in situ hybridization (FISH), but FISH has low throughput and is not always reflective of protein concentrations. The emergence of multiple clinically relevant biomarkers in NSCLC necessitates efficient testing of scarce tissue samples. We developed an anaplastic lymphoma kinase (ALK) protein assay that uses multiplexed selected reaction monitoring (SRM) to quantify absolute amounts of ALK in formalin-fixed paraffin-embedded (FFPE) tumor tissue.METHODSAfter validation in formalin-fixed cell lines, the SRM assay was used to quantify concentrations of ALK in 18 FFPE NSCLC samples that had been tested for ALK by FISH and immunohistochemistry. Results were correlated with patient response to crizotinib.RESULTSWe detected ALK in 11 of 14 NSCLC samples with known ALK rearrangements by FISH. Absolute ALK concentrations correlated with clinical response in 5 of 8 patients treated with crizotinib. The SRM assay did not detect ALK in 3 FISH-positive patients who had not responded to crizotinib. In 1 of these cases, DNA sequencing revealed a point mutation that predicts a nonfunctional ALK fusion protein. The SRM assay did not detect ALK in any tumor tissue with a negative ALK status by FISH or immunohistochemistry.CONCLUSIONSALK concentrations measured by SRM correlate with crizotinib response in NSCLC patients. The ALK SRM proteomic assay, which may be multiplexed with other clinically relevant proteins, allows for rapid identification of patients potentially eligible for targeted therapies.

Trastuzumab has shown a survival benefit in cases of Her2-positive gastroesophageal cancer (GEC). Immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) currently determine eligibility for trastuzumab-based therapy. However, these low-throughput assays often produce discordant or equivocal results. We developed a targeted proteomic assay based on selected reaction monitoring mass spectrometry (SRM-MS) and quantified levels (amol/μg) of Her2-SRM protein in cell lines (n = 27) and GEC tissues (n = 139). We compared Her2-SRM protein expression with IHC/FISH, seeking to determine optimal SRM protein expression cutoffs in order to identify HER2 gene amplification. After demonstrating assay development, precision, and stability, Her2-SRM protein measurement was observed to be highly concordant with the HER2/CEP17 ratio, particularly in a multivariate regression model adjusted for SRM expression of the covariates Met, Egfr, Her3, and HER2 heterogeneity, as well as their interactions (cell lines r 2 = 0.9842; FFPE r 2 = 0.7643). In GEC tissues, Her2-SRM protein was detected at any level in 71.2 % of cases. ROC curves demonstrated that Her2-SRM protein levels have a high specificity (100 %) at an upper-level cutoff of >750 amol/µg and sensitivity of 75 % at a lower-level cutoff of

Chemotherapy is the mainstay for the treatment of ovarian cancer. Taxanes, platinum salts, 5-FU, anthracyclines, gemcitabine are used extensively in ovarian cancer, however, there is no biomarker of chemotherapy that is routinely used. We examined 169 ovarian cancer samples using targeted proteomics for biomarkers of response or resistance to chemotherapy agents. Biomarkers of resistance include ERCC1 (Platinum), TUBB3 (taxanes), ALDH1A1 (cyclophosphamide) while response biomarkers include TOPO1 (irinotecan, topotecan), TOPO2A (doxorubicin, epirubicin), hENT1 (Gemcitabine).We also measure markers for several antibody-drug conjugates (FR-alpha, Her2, Trop2, gPNMB, MSLN). Methods: Tumor areas from Formalin-fixed, paraffin-embedded (FFPE) tumor tissues from clinical samples of ovarian cancer that were received at our CLIA certified laboratory were microdissected and a selected reaction monitoring mass spectrometry (SRM-MS) quantitative proteomic analysis of 72 biomarkers were conducted. Discussion: The majority of ovarian cancer samples expressed a range of resistance markers for cyclophosphamide (ALDH1A1: 87% positive ranging from 227-10766 amol/µg), platinum agents (70% positive) and taxanes (71%positive). However, they also expressed a range of response biomarkers for chemotherapies that are conventionally used to treat ovarian cancer. These include irinotecan/topotecan (TOPO1: 97% positive ranging from 459 -3299), doxorubicin (TOPO2A: 50% positive ranging from 402-3825 amol/µg), gemcitabine (hENT1/RRM1: 42% positive). Novel chemotherapy agents that could potentially be used include temozolomide (40% of patients did not express MGMT, resistance marker for temozolomide). The vast majority (78%) of ovarian cancer samples did not express any drug efflux pump proteins MRP and MDR1. Examination of potential ADC markers revealed 74% positivity for the antibody target FR-alpha with a 42 fold range of expression (585 -25000 amol/µg) and 71% positivity for the payload resistance marker TUBB3. Similarly, Trop2 (56% positivity) exhibited a wide dynamic range (222-12778 amol/µg). Another ADC target mesothelin was expressed in 66% of the cases with a 35x range of expression (302 - 10,700 amol/µg). While 56% of ovarian cancer expressed Her2 (262 -5011 amol/µg), only 4% expressed high levels of Her2 (>750 amol/µg), making them suitable for current anti-Her2 therapy. Others could potentially benefit from clinical trials targeting low Her2 expression. The ability to multiplex 72 protein biomarkers from 2-3 FFPE sections provides immense actionable information on clinical treatment or for patient stratification for clinical trials. Citation Format: Sheeno P. Thyparambil, Wei-Li Liao, Eunkyung An, Anuja Bhalkikar, Thomas Guiel, Robert Heaton. Molecular profiling of ovarian cancer by targeted proteomics to inform personalized therapy [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4156.

e16098 Background: Human serum proteome and metabolome profiles have been analyzed to explore the molecular changes that occur with aging. We hypothesized that deep phenomic profiling of longitudinal sera would allow the identification of distinct phenomic chronologic patterns as a normal biological clock baseline to study personal aging. We further hypothesized that molecular assessment of this chronologic deviation, due to advance adenoma and early CRC, from the normal reference ageotypes would be instrumental as potential early diagnostics and reveal underlying pathophysiology. Methods: A cohort of 7673 normal, 746 advanced adenoma, 1177 stage I, 103 stage II and 119 stage III blood samples were assembled. Innovative multi-omics approaches, with global and targeted LCMS data production (metabolomics, lipidomics, and 2D proteomics), were applied to deep profile these subjects. Identification of the age-associated molecular patterns in normal subjects, modeled with an elastic net algorithm, established the reference baseline to mirror a biological clock. CRC associated deviation from this chronologically paced multi-omics clock was quantified to screen for early CRCs and explore the underlying pathophysiology. Results: Multiple mProbe aging indices of proteins and metabolites were identified, strongly predicting chronologic age ( P < 0.001, R > 0.90). Significant disruptions from normal molecular patterns were observed in advanced adenoma and early CRCs patients (R < 0.7). Pathway analysis of the proteins/metabolites with deviating patterns revealed both known and new pathways underlying CRC. Unsupervised cluster analysis identified unique aging subgroups among advanced adenoma and different stage CRC patients, indicating unique underlying biology relating to aging with different severities of cancer burdens. Conclusions: Deviations from the meticulously timed phenomic aging patterns may provide utility to allow future early CRC screening. Close examination of the underlying pathophysiology associated with early CRC, relating to ageotypes, not only may improve the sensitivity and specificity of prognostic and diagnostic tests of early CRCs, but also shed new insights into CRC therapeutics.

2555 Background: Glioblastoma (GBM) is an aggressive primary brain tumor with poor prognosis. Treatment at diagnosis is largely confined to surgery, radiation and temozolomide (TMZ) with median progression-free survival (PFS) of 7 months and median overall survival (mOS) of 15 months. GBM tumors recur in most cases and in patients with recurrent GBM, the mOS is 6.2 months. The lack of effective therapies underscores the importance of exploring other agents. We propose that quantitating therapy-associated protein biomarkers can improve treatment personalization for GBM. Methods: 97 FFPE GBM tissues were microdissected and solubilized for mass spectrometry-based proteomic analysis of therapy-associated protein biomarkers in our CLIA certified lab. We quantified protein levels of MGMT, hENT1, RRM1, TOPO1 and EGFR/TUBB3 (antibody target and payload resistance markers, respectively, for anti-EGFR ADCs) simultaneously. The multiplexed assay also quantified additional 24 clinically relevant proteins. Results: 43/57 patients were predicted to respond to TMZ based on undetectable levels of MGMT, confirming wide utility of this agent. 42/97(43%) patients were predicted to have gemcitabine sensitivity based on high expression of the response marker (hENT1 > 100 amol/ug) and low expression of the resistance marker (RRM1 < 700 amol/ug). 11/97(11%) patients expressed TOPO1 > 1350 amol/ug (75th percentile of all indications tested by author’s laboratory), suggesting likely response to irinotecan and topotecan. EGFR expression ranged from < 100 amol/ug to > 25000 amol/ug, including overexpression (> 1500 amol/ug) in 22%(21/97) of cases. While expression of EGFR(81/97, 84%) suggested likely response to anti-EGFR ADC, concurrent expression of TUBB3(78/81) may indicate resistance to several known payloads, such as taxanes and MMAE. Conjugation with another payload that targets sensitivity marker TOPO1 (68% expression) is a likely option. Proteomic analysis also revealed detectable levels of multiple RTKs (FGFR(4), AXL(20), IGF1R(10), MET overexpression(1), and HER2 overexpression(2)), indicating potential response to RTK inhibitors. Exploratory investigation in tumor vs TME using proteomics and metabolomics is ongoing. Conclusions: In this population of GBM patients, proteomic analysis identified protein targets of multiple approved and investigational therapies. Gemcitabine, which crosses the blood-brain barrier, may be considered as a salvage option after TMZ failure. Proteomic quantitation of EGFR and TUBB3 may improve patient selection for EGFR-targeting ADCs.

17 Background: Multiple ADCs are in clinical trials for CRC and the optimal strategy for selecting patients who may benefit from the treatment is evolving. Due to the unique mechanism of ADCs, patient selection should involve screening not only for the presence of the antibody target, but also for markers of resistance or response to the payload. We have built a multiplexed ADC biomarker panel in FFPE tumor tissue that simultaneously quantifies the protein levels of the antibody targets and also the payload markers. Methods: FFPE tumor tissues from 363 CRC patients were microdissected and solubilized for mass spectrometry-based targeted proteomic analysis in our CLIA certified laboratory. We quantified protein levels of EGFR, HER2, HER3, Axl, Mesothelin, FRalpha, Trop2 (antibody targets), tubulin-beta3 and TOPO1 (payload resistance and response markers, respectively) simultaneously. The multiplexed assay also quantified additional 22 clinically relevant proteins. Results: Expression of EGFR(83%), HER2(52%), HER3(21.5%), Axl(3.7%), Mesothelin(26.5%), FRalpha(3.7%), and Trop2(59.8%) may indicate likely response to ADCs. Expression of TUBB3(+) and TOPO1 (>1350amol/µg) in antibody target-positive subset may suggest resistance or response to payloads, such as taxanes and irinotecan, respectively (Table). Previously we identified that HER2 expression >750amol/µg correlated with HER2 positivity. Accordingly, 1.4% (5/355) of CRC patients were HER2 positive, of which 40% (2/5) had TOPO1 expression >1350amol/µg (75th percentile) suggesting that these 2 patients may receive benefit from a HER2/TOPO1 ADC. (+) indicates expression ≥LOQ; (-) indicates expression [Table: see text]

Introduction Approximately 20% of breast cancer patients overexpress HER2 and are treated with anti-HER2 therapies. However, there is a great deal of disparity of HER2 levels in the patients that are classified as HER2 positive (IHC3+). Techniques like FISH or IHC do not allow for HER2 quantification and a significant proportion of patients are wrongly classified as HER2 positive. Liquid Tissue-Selected reaction monitoring (LT-SRM) is a multiplexed mass spectrometric technique that can objectively quantify levels of Her2 and other targets from formalin fixed paraffin embedded (FFPE) sections. Given the different available anti-HER2 therapies (trastuzumab, TDM1, lapatinib and pertuzumab) with different modes of action, it would be beneficial for a clinician to understand the levels EGFR and HER3 so as to personalize the therapy. In this work, we have used LT-SRM to quantitate HER2, EGFR and HER3 from FFPE samples (one slide) of patients treated with anti-HER2 agents and correlated the levels of these proteins to clinical outcome. Methods FFPE sections from 60 HER2 positive (IHC3+) primary breast cancer patients were microdissected and proteins were solubilized and digested by trypsin in Liquid Tissue® buffer. Of the 60 samples, 24 were from metastatic setting and 36 from adjuvant setting. After trypsin digestion, internal standards were added and absolute quantitation for multiple proteins was performed using selected reaction monitoring (SRM) mass spectrometry. In addition to LT-SRM, FISH for HER2 was also conducted. Results HER2 quantitation by LT-SRM revealed receptor level ranges from 283 to 14938 amol/µg. ROC analysis was conducted and a cut-off of 2758.75 amol/µg gave the optimal sensitivity and specificity. Survival analysis revealed statistically significant DFS (4.40 years vs 3.38 years; p=0.013) and OS (4.43 years vs 4.03 years; p= 0039) in patients expressing ≥ 2758.75 amol/µg in the adjuvant setting and also statistically significant OS (5.51 years vs 3.37 years; p=0.037) in the metastatic setting. Correlation of HER2 FISH and levels of HER2 is ongoing. Approximately 41% of samples expressed EGFR (range 45 to 2317 amol/µg) and similarly 51% of the samples expressed HER3 (range 84 to 360 amol/µg) with 18% of samples expressing all three targets. Correlation of EGFR/HER3 expression with clinical outcome is ongoing. Conclusion We used an objective multiplex non-antibody based method to quantify multiple targets from FFPE tissue. Clinical correlation analysis of HER2 revealed improved OS and DFS in samples with high HER2 protein levels. Currently, we are expanding these studies to a larger set of samples and taking into account also the expression of other markers such as EGFR and HER3. This approach can potentially identify those tumors that are more dependent on these receptors for survival and also those patients that are exquisitely sensitive to anti-HER2 therapy. Citation Format: Paolo Nuciforo, Sheeno Thyparambil, Claudia Aura, Ana Garrido-Castro, Vicente Peg, Jose Jimenez, William Hoos, Jon Burrows, Todd Hembrough, Jose Perez-Garcia, Javier Cortes, Maurizio Scaltriti. Quantitative measurement of HER2 levels by multiplexed mass spectrometry from FFPE tissue predicts survival in patients treated with anti-HER2 based therapy [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 P4-11-29.

The human EGF receptor family (HER's) consists of two clinically validated drug targets (EGFR and HER2), a third (HER3) currently under investigation for its possible role in the acquisition of multidrug resistance and a fourth (HER4), the role of which is still matter of debate. Drugs inhibiting EGFR or HER2 show significant antitumor activity in the clinic, however, acquisition of resistance is a hallmark of these and most targeted therapies. In the case of EGFR and HER2, one of the emerging resistance mechanisms is the co-expression of HER3. Indeed, recent reports show that inhibition of the PI3K pathway leads to upregulation of HER3, and subsequent resistance. Clinical analysis of protein levels in formalin fixed paraffin embedded (FFPE) tissues is limited to immunohistochemistry (IHC), which is semi-quantitative and requires significant amounts of tissue. Moreover, the vast majority of research groups consider specific HER3 staining by IHC particularly challenging. However, accurate measurement of these targets is critical both for properly defining treatment groups and predicting patterns of resistance. In order to address these issues, we used trypsin digestion mapping and stable isotope labeled peptides to develop a panel of quantitative mass spectrometric (MS) assays to measure the levels of EGFR, HER2, HER3 and other clinically relevant targets in FFPE breast cancer tissue. These quantitative MS assays were then multiplexed to analyze 1μg of tumor protein. In this study, we multiplexed HER family analysis on 31 HER2 positive breast cancers. Tumor tissue was microdissected from FFPE sections, and subjected to quantitative MS analysis of EGFR, HER2, HER3 as well as IGF1R and cMET. Quantitation of HER2 showed a broad range of HER2 expression in these tissues. The highest expresser measured 26 fmol/ug tumor tissue, representing amplification and massive protein over expression. In contrast, five tissues showed low levels of HER2 expression, below 1 fmol/ug, similar to HER2 non-amplified cell lines. This suggests that MS quantitation can identify patients with low expression of HER2 who are unlikely to respond to trastuzumab therapy. As a matter of fact, 3 of these 5 low expressing patients had outcome data and showed no response to trastuzumab treatment. In 28 of 31 patient tissue samples, HER3 showed low levels of expression (100–300 amol/ug tumor tissue) similar to HER3 expression in cell lines, and comparable to low expressing EGFR and HER2 cell lines. The remaining 3 patients had no detectable HER3. This study demonstrates the feasibility of measuring HER3 in multiplex in FFPE breast cancer tissue. Based on the low but widespread expression of HER3 in this cohort, it may be most useful to assess HER3 expression after initial treatment as a marker of potential resistance to targeted therapies. Taken together, these data demonstrate that a sensitive and quantitative assay to measure oncoproteins in FFPE clinical samples may help stratify patients with variable expression of these targets. Our quantitation of oncogene expression from clinical samples uses a small amount of tissue, is clinically applicable and alleviates the problem of scoring either positive or negative for the expression of a given protein. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P1-07-19.

Background: Adenoid cystic carcinoma (ACC) is a rare cancer of secretory glands accounting for 10% of salivary gland malignancies and 1% of head and neck cancers. About 1,200 new cases are diagnosed annually in the United States. ACC is typically chemoresistant and clinical trials of multiple targeted agents found few responders. Studies of ACC oncogenesis have described frequent fusion of MYB-NFIB genes and other infrequent genomic mutations. ACC has not been proteomically characterized. We hypothesized that proteogenomic analysis of ACC tumor tissues would identify clinically relevant molecular differences between ACC and other tumor types. The objective of this study was to identify altered disease pathways and potential drug targets in ACC. Methods: Clinical tumor samples of ACC and squamous cell carcinoma (SCC) of the head and neck were analyzed using the GPS Cancer diagnostic test, which includes whole genome and transcriptome sequencing, and proteomic expression analysis using mass spectrometry. To quantify proteins, tumor areas of formalin-fixed paraffin-embedded tissue sections were marked by a pathologist, microdissected and solubilized. The resulting lysate was analyzed with mass spectrometry to quantitate 30 clinically relevant proteins. Samples were further analyzed with a global proteomics platform intended to discover targetable protein biomarkers. Proteins that were overexpressed or underexpressed (defined as a 1.5-fold difference between ACC and SCC) were subjected to pathway analysis to identify perturbed pathways and potential drug targets. Finally, the mRNA expression in ACC tumors was compared with RNA-seq data from various solid tumor types using the k-nearest neighbors algorithm. Results: In 14 tumor samples, unsupervised hierarchical clustering analysis of 4,002 proteins revealed a clear separation between ACC (n=8) and SCC (n=6) tissues. Four of 8 ACC samples harbored an MYB-NFIB fusion and single samples had fusions of MYBL-NFIB or AHI1-NFIB. Mutational burden in ACC and SCC samples was 1.35 and 3.53 mutations per megabase, respectively. Pathway analysis found enrichment of ACC genes in essential cell cycle processes. CDK6 protein expression was 4-fold higher in ACC samples than SCC samples by mass spectrometry (p=0.0036) and 3-fold higher at the mRNA level. Expression of p16 protein was 3-fold lower in ACC than in SCC (p=0.0289) and corresponding p16 mRNA levels were 17-fold lower in ACC than SCC. All ACC samples harbored intact retinoblastoma (RB1) gene. Expression of mRNA in 15 ACC samples was compared with that of 25 different tumor types from TCGA and the authors' clinical laboratory; breast cancer was found to be the nearest neighbor to ACC. Conclusions: Proteogenomic analysis revealed CDK6 overexpression in ACC. The combination of CDK6 overexpression, p16 underexpression and RB1 proficiency suggests that ACC tumors may respond to treatment with CDK6 inhibitors. Citation Format: Sheeno P. Thyparambil, Yeoun Jin Kim, Andrew G. Chambers, Dongyao Yan, Shankar Sellappan, Andrew J. Sedgewick, Yulia Newton, J Zachary Sanborn, Charles J. Vaske, Stephen C. Benz, Fabiola Cecchi, Hyunseok Kang, Todd A. Hembrough. Potential drug targets for adenoid cystic carcinoma elucidated by proteogenomic analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 778.

Background: Chemotherapy represents the cornerstone of treatment for patients with advanced sarcomas. Anthracyclines are the first line of treatment; however, other agents such as gemcitabine, topotecan, taxanes and temozolomide have shown clinical activity in sarcoma patients. While no biomarker for chemotherapy has been approved for clinical use, a growing body of literature has identified tumor molecular characteristics predictive of response or resistance to chemotherapy. These include expression of the proteins ERCC1 (platinum), TUBB3 (taxane), TOP2A (anthracyclines), TOP1 (irinotecan, topotecan), hENT1/RRM1 (gemcitabine) and MGMT (temozolomide). Our goal was to assess the landscape of chemotherapy biomarkers in several sarcoma subtypes to identify potentially beneficial treatment regimens. Methods: Formalin-fixed, paraffin-embedded tumor tissues from clinical samples of sarcoma representing 5 subtypes were microdissected and assayed with the GPS Cancer molecular test. The test combines whole-genome sequencing, RNA-seq, and proteomic expression analysis of 30 biomarker proteins using mass spectrometry. Results: Seventy-five sarcoma samples were characterized (Table 1). Expression of protein biomarkers varied by sarcoma subtype. Of interest, approximately two-thirds of leiomyosarcomas lacked resistance markers for platinum (ERCC1) and taxanes (TUBB3). Of osteosarcomas, 93% expressed the response marker for gemcitabine (hENT1), while only 14% expressed the protein marker of gemcitabine resistance (RRM1). The vast majority of Ewing's sarcomas expressed MGMT, a marker of temozolomide resistance. Conclusions: In clinical sarcoma samples, proteomic analysis can identify distinct patterns of expression that are predictive of response or resistance to chemotherapies. Additional analysis is in progress; correlation between expression of chemotherapeutic biomarkers and clinical outcomes in a subset of sarcoma patients will be presented. Table 1. Proportions of sarcoma patients (N=75) with tumor expression of chemotherapeutic biomarker proteinsMarkers of response (agent)Markers of resistance (agent)Sarcoma subtypeTOP1(topotecan, irinotecan)TOP2A(doxorubicin)hENT1(gemcitabine)ERCC1(platinum)TUBB3(taxane)RRM1(gemcitabine)MGMT(temozolomide)Leiomyosarcoma (n=25)4133228321658Liposarcoma (n=13)1504654621667Ewing's sarcoma (n=12)3383383504288Osteosarcoma (n=14)779346571467Rhabdomyosarcoma (n=11)36278264456488Tumor expression is defined as quantitated protein above the threshold determined to be indicative of clinical response/resistance. The thresholds (in attomoles per microgram of total tumor protein) are as follows: TOP1: 1340, TOP2A: 1570, hENT1: 100, ERCC1: 75, TUBB3: 850, RRM1: 700, MGMT: 200. Citation Format: Sheeno P. Thyparambil, Shankar Sellappan, Dongyao Yan, Fabiola Cecchi, Antoine Italiano, Todd A. Hembrough. The molecular landscape of sarcoma can inform selection of personalized chemotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1628.

6053Background: Adenoid cystic carcinoma (ACC) is a rare cancer of secretory glands accounting for 10% of salivary gland cancers and 1% of head and neck cancers. ACC rarely responds to chemotherapy...

8574Background: Even with standard platinum doublet therapy, most patients with small-cell lung cancer (SCLC) survive < 1 year. For those with refractory or relapsed disease, second-line, single-ag...

Background: Trastuzumab showed survival benefit for Her2-positive gastroesophageal cancers (GEC). Immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) currently determine eligibility for trastuzumab-based therapy. However, both assays are low throughput with various limitations. Methods: We developed a selected reaction monitoring mass spectrometric (SRM-MS) assay and quantified levels (amol/ug) of Her2-SRM in cell lines (n=27) and GEC tissues (n=139). We compared Her2-SRM expression with IHC/FISH, seeking to determine optimal SRM expression cut-offs to identify HER2 amplification. Results: After demonstrating assay development, precision, and stability, Her2-SRM measurement was observed to be highly concordant with HER2/CEP17 ratio, particularly in a multivariate regression model adjusted for SRM-expression of Met, Egfr, Her3, and HER2-heterogeneity covariates, and their interactions (cell lines r2=0.9842; FFPE r2=0.7643). In GEC tissues, Her2-SRM was detected in 71.2% of cases, and 12.3% were identified as ‘HER2+’. ROC curves demonstrated HER2-SRM levels to have high specificity (100%) at an upper-level cut-off of >750 amol/µg and sensitivity (75%) at lower-level cut-off of

Background Overexpression of Met tyrosine kinase receptor is associated with poor prognosis. Overexpression, and particularly MET amplification, are predictive of response to Met-specific therapy in preclinical models. Immunohistochemistry (IHC) of formalin-fixed paraffin-embedded (FFPE) tissues is currently used to select for ‘high Met’ expressing tumors for Met inhibitor trials. IHC suffers from antibody non-specificity, lack of quantitative resolution, and, when quantifying multiple proteins, inefficient use of scarce tissue. Methods After describing the development of the Liquid-Tissue-Selected Reaction Monitoring-mass spectrometry (LT-SRM-MS) Met assay, we evaluated the expression level of Met in 130 FFPE gastroesophageal cancer (GEC) tissues. We assessed the correlation of SRM Met expression to IHC and mean MET gene copy number (GCN)/nucleus or MET/CEP7 ratio by fluorescence in situ hybridization (FISH). Results Proteomic mapping of recombinant Met identified 418TEFTTALQR426 as the optimal SRM peptide. Limits of detection (LOD) and quantitation (LOQ) for this peptide were 150 and 200 amol/µg tumor protein, respectively. The assay demonstrated excellent precision and temporal stability of measurements in serial sections analyzed one year apart. Expression levels of 130 GEC tissues ranged (

Background: Standard treatment for muscle-invasive bladder cancer (MIBC) includes chemotherapy with either gemcitabine-cisplatin (GC) or methotrexate, vinblastine, adriamycin and cisplatin (MVAC). These regimens have similar clinical complete response rates of approximately 30%. While no targeted treatment has been approved for bladder cancer, clinical trials have identified biochemical markers that predict the chemoresponsiveness of MIBC tumors to specific chemotherapeutic agents. For example, patients with high hENT1 and low RRM1 expression responded better to GC-based chemotherapy than their counterparts, and HER2 overexpression predicted resistance to cisplatin-based therapy. To quantify targets that are known indicators of tumor behavior, we used targeted proteomic analysis to assess 30 different protein biomarkers in formalin-fixed paraffin-embedded (FFPE) MIBC tumor tissue. Methods: Twelve FFPE MIBC tissue blocks were obtained and a pathologist marked a minimum 8mm2 of tumor area from 1 or 2 slides. Following laser microdissection of the marked areas, proteins were extracted using the Liquid-Tissue® process and subjected to selected reaction monitoring mass spectrometry to quantify the amounts of 30 different targeted proteins in each patient sample. Results: Of the 12 patient samples, 7 (58%) expressed high levels of hENT1 and 11 (92%) expressed low levels of RRM1, indicating that gemcitabine-based therapy would be an appropriate choice. A single patient expressed high levels of RRM1, an indication for non-gemcitabine based therapy. All 12 patients expressed TUBB3, a marker of resistance to taxane (vinblastine) and 10 patients (83%) lacked expression of FR-alpha, a marker of sensitivity to methotrexate. The majority of patients expressed a marker of sensitivity to anthracycline (TOPO2A) and did not express a resistance biomarker for platinum therapy (ERCC1). Of 3 patients whose tumors expressed HER2, 2 had overexpression (>750 amol/ug) and would thus be eligible for HER2 basket trials. Further, multiplex-targeted proteomics discovered patients expressing FGFR1 (17%), cMET (33%), Axl (17%) and IDO1 (25%), which would make them eligible for clinical trials of targeted or immunotherapies. Conclusion: MIBC is heterogeneous and expresses a wide range of proteins. Yet, it continues to be treated with only 2 chemotherapeutic regimens. Multiplexed proteomics is currently being used in clinical practice to inform personalized patient care decisions with identification and the relative quantities of actionable proteins known to predict tumor behavior. Citation Format: Fabiola Cecchi, Sheeno Thyparambil, Adele Blackler, Todd Hembrough, Shahrooz Rabizadeh, Patrick Soon-Shiong, Henry Frierson, Daniel Theodorescu. Targeted proteomic analysis for personalized treatment of muscle invasive bladder cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 449.

One of the critical gaps in the clinical diagnostic space is the lack of quantitative proteomic methods for use on formalin-fixed, paraffin-embedded (FFPE) tissue. Herein, we describe the development of a quantitative, multiplexed, mass spectrometry-based selected reaction monitoring (SRM) assay for four therapeutically important targets: epidermal growth factor receptor, human EGF receptor (HER)-2, HER3, and insulin-like growth factor-1 receptor. These assays were developed using the Liquid Tissue-SRM technology platform, in which FFPE tumor tissues were microdissected, completely solubilized, and then subjected to multiplexed quantitation by SRM mass spectrometry. The assays were preclinically validated by comparing Liquid Tissue-SRM quantitation of FFPE cell lines with enzyme-linked immunosorbent assay/electrochemiluminescence quantitation of fresh cells (R2 > 0.95). Clinical performance was assessed on two cohorts of breast cancer tissue: one cohort of 10 samples with a wide range of HER2 expression and a second cohort of 19 HER2 IHC 3+ tissues. These clinical data demonstrate the feasibility of quantitative, multiplexed clinical analysis of proteomic markers in FFPE tissue. Our findings represent a significant advancement in cancer tissue analysis because multiplexed, quantitative analysis of protein targets in FFPE tumor tissue can be tailored to specific oncological indications to provide the following: i) complementary support for anatomical pathological diagnoses, ii) patient stratification to optimize treatment outcomes and identify drug resistance, and iii) support for the clinical development of novel therapies.

Liver cancer is an important form of cancer worldwide ranking in the top ten in both incidence and mortality (1). Over 200,000 new cases of primary hepatocellular carcinoma are diagnosed worldwide each year (1). The American Cancer Society predicts over 22,000 new cases of liver and bile duct cancer and that nearly 18,000 individuals will die of this disease in the year 2009 (2). In the United States and Europe, primary liver cancer is fairly rare, but in some parts of the world, it is the primary type of cancer observed (1). Environmental influences, including carcinogen exposure, are believed to contribute to its distinct geographical distribution pattern (3). Although rare genetic disorders can contribute to liver cancer development, ethanol and dietary factors are known to contribute to its incidence and progression (3). The prevalence of liver cancer and its high mortality rate indicates the need for appropriate animal models of this disease in order to develop treatment and intervention strategies. In addition, the liver is the primary site for cancer induction in the bioassays used for carcinogen testing indicating the necessity for extrapolation of neoplasms that arise at this site in animals to man. The utility of defining common biomarkers for the conversion of benign to malignant transition will assist in developing appropriate inter-species extrapolation for risk assessment. The inclusion of early lesions from preclinical models will permit assessment of the ability of methods to develop appropriate risk assessment. In addition, analysis of liver cancer development is a useful model for study of the carcinogenic process of solid tumors that arise in both humans and animals. The influence of genetic background and environmental factors on neoplastic development is readily studied in rodent models of this disease.

Background: Antibody-Drug Conjugates (ADCs) are poised to become an extremely important class of therapeutics in oncology. By conjugating cytotoxic payloads to antibodies that target proteins found primarily on cancer cells, ADCs represent a novel mechanism for directing extremely toxic small molecules specifically to tumor cells. Due to the unique mechanism of ADCs, patient selection should involve screening not only for the presence of the antibody target, but also screening for the presence of any markers of resistance or response to the payload. Several proteins, such as multi-drug effluxers and tubulin-beta 3, have been implicated in resistance to small molecule cytotoxins and microtubule inhibitor drugs. OncoPlex Diagnostics has built a multiplexed ADC biomarker panel that simultaneously quantifies the levels of the antibody target and putative resistance markers for several known payloads, such as maytansinoids, auristatins and taxanes, as well as response markers for the topoisomerase inhibitor payloads SN-38 and doxorubicin. Methods: Liquid Tissue-Selected Reaction Monitoring (LT-SRM) is a multiplexed, quantitative method that uses mass spectrometry to quantify proteins based on a unique sequence of amino acids, and thus does not have the same limitations as traditional antibody-based, semi-quantitative protein detection methods, such as immunohistochemistry. We developed a LT-SRM assay to quantify protein levels of EGFR, FRalpha, Her2, CD30 and Mesothelin (antibody targets) and MCL1, MDR, MRP1, tubulin-beta3, Topo1 and Topo2a (payload response and resistance markers) simultaneously from FFPE biopsies. Calibration curves for all the proteins in the ADC panel are linear over 5-orders of magnitude, with limits of detection for each analyte between 25 and 400 amol/ug of tissue. Results: Analysis of FFPE tumor tissues show a broad range of expression for the ADC proteins, with some tissues showing no detectable levels of some payload markers. Clinical analysis of FRalpha showed a range of expression from Conclusions: The OncoPlexDx ADC panel can determine of a cutoff for expression levels of the antibody-target protein necessary for ADC response as well as identify markers of payload response or resistance to further understand how these markers affect therapeutic efficacy. This panel can be used to predict which patients will derive the most benefit from ADC therapy based on the specific biology of their tumor. Citation Format: Adele Blackler, Wei-Li Liao, Sheeno Thyparambil, Eunkyung An, Fabiola Cecchi, Marlene Darfler, Todd Hembrough, Jon Burrows. Development of a mass spectrometry based antibody-drug conjugate biomarker panel. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3398. doi:10.1158/1538-7445.AM2015-3398

BackgroundImmune check point proteins play a pivotal role in immune evasion by the tumor. Recent trials involving inhibitors of the immune checkpoint protein pairs, PD-1 and PD-L1 have demonstrated anti-tumor activity. Measuring the levels of immune check point proteins and other members of the immunological synapse will help clinicians personalize therapy. Currently, immunohistochemistry (IHC) is the preferred diagnostic to assess PD-L1 status; however, PD-L1 positivity varies based on the antibody that is used. Additionally, PD-L1 negative patients by IHC have responded to anti-PD-L1 therapy implicating disconnect between PD-L1 diagnostics and response. We have developed and clinically validated a quantitative mass spectrometric technique that not only quantitates PD-L1 in formalin fixed paraffin embedded (FFPE) tissue but can concurrently quantitate other members (B7H3, B7.1, B7.2, OX40L) of the immunological synapse using the same tissue section. MethodRecombinant PD-L1 protein was used to identify optimal quantitative peptides for PD-L1 assay. Standard curves were generated using labeled and unlabeled peptides. The PD-L1 assay was pre-clinically validated on 14 cell lines with known expression levels of PD-L1. The assay was then run on archived FFPE sections from in 9 normal tissues, 21 early staged (stage 1 and 2) and 4 advanced staged (stage 3) NSCLC patients. In addition PD-L1 was also assayed in bladder, breast and gastric cancer. Results PD-L1 protein expression was detected in 7 out of 14 cell lines The regression analysis between SRM and mRNA analysis demonstrated moderate correlation (R2 = 0.8894). Normal lung tissue did not express PD-L1; ∼24% of early stage (5/21) and 50% of advanced stage NSCLC (2/4) expressed measurable PD-L1 protein. PD-L1 was detected more frequently in squamous cell carcinoma than adenocarcinoma. We are currently assessing the levels of PD-L1 and other targets of the immunological synapse using multiplex mass spectrometry and comparing it with IHC in 100 cholangiocarcinoma and possible inclusion of PD-L1diagnostics in clinical trials. DiscussionThe need to characterize expression levels of druggable targets in small biopsies is becoming ever more critical as new drug targets and biomarkers are identified. Initial PD-L1 screening using clinical NSCLC samples suggests that more advanced NSCLC patients are more likely to be PD-L1 positive compared to early stage NSCLC patients. Laser microdissection (LMD) can be used to specifically microdissect the immunological synapse. Additional quantitative assays for both lymphocyte (CD8, CD68) and immunotargets (B7-H3,B.1, B7.2 etc) have been developed for assessing the ‘immune profile’ in tumor associated stroma via LMD. This immuno-proteomic assay of the key immunological synapse members within tumor and/or stroma may lead to improved personalized immunotherapy. Citation Format: Sheeno P. Thyparambil, Fabiola Cecchi, Eunkyung An, Wei-Li Liao, Jon Burrows, Todd Hembrough, Daniel Catenacci. Development and clinical validation of a quantitative mass spectrometric assay for immuno-oncology targets in FFPE samples. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4255. doi:10.1158/1538-7445.AM2015-4255

BACKGROUND: Overexpression of Met tyrosine kinase receptor is associated with poor prognosis. Overexpression, and particularly MET amplification, are predictive of response to Met-specific therapy in preclinical models. Immunohistochemistry (IHC) of formalin-fixed paraffin-embedded (FFPE) tissues is currently used to select for ‘high Met’ expressing tumors for Met inhibitor trials. IHC suffers from antibody non-specificity, lack of quantitative resolution, and, when quantifying multiple proteins, inefficient use of scarce tissue. METHODS: After describing the development of the Liquid-Tissue-Selected Reaction Monitoring-mass spectrometry (LT-SRM-MS) Met assay, we evaluated the expression level of Met in 130 FFPE gastroesophageal cancer (GEC) tissues. We assessed the correlation of SRM Met expression to IHC and mean MET gene copy number (GCN)/nucleus or MET/CEP7 ratio by fluorescence in situ hybridization (FISH). RESULTS: Proteomic mapping of recombinant Met identified 418TEFTTALQR426 as the optimal SRM peptide. Limits of detection (LOD) and quantitation (LOQ) for this peptide were 150 and 200 amol/μg tumor protein, respectively. The assay demonstrated excellent precision and temporal stability of measurements in serial sections analyzed one year apart. Expression levels of 130 GEC tissues ranged (1500 amol/μg was 100% sensitive (95% CI 0.69-1) and 100% specific (95% CI 0.92-1) for MET amplification. CONCLUSIONS: The Met SRM assay measured the absolute Met levels in clinical tissues with high precision. Compared to IHC, SRM provided a quantitative and linear measurement of Met expression, reliably distinguishing between non-amplified and amplified MET tumors. These results demonstrate a novel clinical tool for efficient tumor expression profiling, potentially leading to better informed therapeutic decisions for patients with GEC. Citation Format: Fabiola Cecchi, Wei-Li Liao, Sheeno Thyparambil, Marlene Darfler, David Krizman, Todd Hembrough, Jon Burrows, Don Bottaro, Daniel V.T. Catenacci. A novel clinical tool that provides quantitative and accurate measurement of Met protein. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3397. doi:10.1158/1538-7445.AM2015-3397

1045 Background: The folate pathway is a critical nucleotide biosynthetic pathway in many tumor cells, and blockade of this pathway with antifolates has demonstrated clinical utility in NSCLC and m...

605 Background: To be eligible for an anti-HER therapy, tumors have to be HER2-positive as determined by IHC or in situ hybridization (ISH) analyses. Although gene amplification is generally consid...

4050 Background: Trastuzumab-based chemotherapy is standard treatment for HER2-positive advanced gastric cancer (AGC). Although increased HER2 gene amplification by fluorescent in situ hybridizatio...

82 Background: HER2+ GEC derived benefit from trastuzumab. Her2 IHC is semi-quantitative, subjective, and sensitive to antigen instability; HER2 FISH is laborious, expensive, and subjective. False positivity/negativity have been described. Also, these are low throughput assays; there is known molecular heterogeneity, with several putative biomarkers, and only scarce tissue to assess for each. We sought to evaluate the association of Her2 MS expression with HER2 FISH, along with other markers within the ‘GEC-plex’. Methods: We utilized a previously described unique Her2 peptide and quantification method (Hembrough et al J Clin Oncol 32,2014(suppl 3;abstr17)). The assay was run on 27 cell lines, in parallel with HER2:CEP17 FISH. Her2 expression thresholds were established for HER2 amplification using ROC curves. We adjusted for Her3, Egfr, and Met MS expression levels and sample HER2:CEP17 ratio heterogeneity in a multiple linear regression model. The model/cut-offs were then validated prospectively on GEC tissues (n=142). Results: Her2 MS on cell lines revealed concordance with FISH (HER2:CEP17) ratio (R2=0.75), which improved by adjusting for Her3 MS, Egfr MS, Met MS and HER2:CEP17 heterogeneity (R2>0.98), with significant interactions. IHC correlation with HER2:CEP17 ratio was poor (R2=0.12). A wide range of expression was noted within IHC3+ patients (150 amol/ug) was seen in 72.9% (102/142) of tissues (range 750 amol/ug - all were HER2 FISH amplified. 6/142 (4%) cases

An integrated omics approach was undertaken in order to elucidate a systems biology level understanding of the acute hepatotoxcity of valproic acid (VPA). Metabonomics, proteomics and gene expression microarray platforms were employed in this systems biology study. CD-1 female pregnant mice were injected subcutaneously with 600 mg/kg VPA or vehicle control. Urine, serum, and liver tissue were collected at 6, 12, and 24 h after dosing. Principal component analysis (PCA) of the metabonomics data showed clustering of the dosed groups away from the controls for the urine samples. Looser clustering was seen in the other sample sets investigated. However, VPA administration resulted in altered glucose concentrations in urine samples at 12 and 24 h and in aqueous liver tissue extracts at 12 h after VPA administration. Proteomics studies identified two proteins, glycogen phosphorylase and amylo-1,6-glucosidase, which were increased in dosed animals relative to control. Both of these proteins are involved in converting glycogen to glucose. Examination of the expression of 20,000 liver genes did not reveal significantly altered expression at 6, 12, or 24 h after VPA exposure. The combined studies indicated a perturbation in the glycogenolysis pathway following administration of VPA.

Background: Current cancer treatment regimens rely on the use of chemotherapy agents that inhibit DNA replication and repair machinery. Several proteins are involved in this mechanism, such as TOPO1, TOPO2A, RRM1, FR-alpha and hENT1. The expression levels and activities of these proteins can greatly affect the success of chemotherapy; however current treatment indications are not based on tumor expression levels of these proteins. We have developed a quantitative, multiplexed ChemoPlex SRM method to evaluate these markers in a host of solid tumors from a limited amount of FFPE biopsy tissue using our Liquid Tissue®-SRM (LT-SRM) platform. Use of this method will enable a physician to understand individual tumor molecular machinery and ultimately could lead to individualized treatment decisions leading to better patient care. Methods: We used trypsin digestion mapping of recombinant proteins to identify optimal quantitative peptides for the ChemoPlex SRM assay. Standard curves were generated to determine the LOD, LOQ, accuracy, precision and linearity of the assay. The assay was pre-clinically validated on 14 cell lines with known expression levels of these Chemo-targets, and the assay was then run on microdissected archived FFPE human tissue samples from lung, gastro-esophageal cancer (GEC), breast, liver, colorectal, and ovarian tumors. Results: The peptides chosen for the 5 Chemo-Plex targets had LOD values of 150, 50, 300, 200, and 100 amol (CV Discussion: We describe the development and initial clinical validation of a quantitative proteomic ChemoPlex SRM assay which accurately measures the expression of five chemotherapy targets in FFPE tumor tissue. When multiplexed along with other druggable biomarkers, the ChemoPlex SRM assay will allow more accurate identification of patients that are likely to benefit from the combination of chemotherapy and targeted therapies. Citation Format: Eunkyung An, Wei-Li Liao, Sheeno Thyparambil, Adele Blackler, Jamar Uzzell, Kathleen Bengali, Marlene Darfler, Jon Burrows, Todd Hembrough. Clinical validation of a multiplexed ChemoPlex SRM assay in FFPE human tumor tissue. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 918. doi:10.1158/1538-7445.AM2014-918

649 Background: There is evidence that increased absolute levels of the HER2 receptor in breast cancer positively correlates with a clinical benefit from anti-HER2 therapies. The current method of HER2 evaluation, immunohistochemistry (IHC), does not allow for absolute HER2 quantification and is prone to false-positives. Thus, a significant portion of patients classified as HER2-positive actually express low levels of the receptor. We quantitated absolute levels of HER2 using a mass spectrometry-based assay and correlated expression levels with the anti-HER2 therapy benefit. Methods: Formalin-fixed, paraffin-embedded (FFPE) tumor sections were microdissected and proteins were solubilized and digested by trypsin in Liquid Tissue buffer. After digestion, internal standards were added and absolute quantitation for multiple proteins was performed using selected reaction monitoring (SRM) mass spectrometry. Results: 26 HER2-positive (IHC 3+) breast cancer samples from patients treated with anti-HER2 therapy wer...

16 Background: Overexpression of MET in gastroesophageal cancer (GEC) is associated with poor prognosis and potentially predictive of anti-MET therapeutic benefit. IHC has been the method chosen to quantify MET expression to date. However, IHC is semi-quantitative, suffers from cross-reactivity, and is low throughput. Moreover, MET IHC is hampered by antigenic instability in FFPE sections, limiting its utility to recently cut FFPE sections. Increasing recognition of the importance of other biomarkers in GEC suggests that ‘economic’ testing of scarce samples will be required. We sought to develop a MET quantitative assay within our ‘GEC-plex’ Liquid-Tissue-selected reaction monitoring (LT-SRM) MS test. Methods: We used trypsin digestion mapping of rMET to identify unique peptides for MS assay development. The assay was pre-clinically validated in 5 cell lines, where electrochemiluminescence (ECL) immunoassay measurement of MET was also performed. To assess the MET MS assay stability from archival FFPE sections, freshly cut FFPE tissue sections were immediately microdissected, processed and analyzed, while adjacent sections were processed and analyzed one year after cutting, to compare temporal quantification from the same FFPE samples (n=33). MET expression was assessed in GEC cases (n=121), and compared to IHC and FISH in select cases. Results: Tryptic digestion mapping of rMET showed that peptide TEFTTALQR was optimal for MET quantification. The LLOD for this peptide was 150 amol with CV2=0.99). The MET MS assay demonstrated temporal stability of serial sections cut from 33 samples analyzed one year apart: CVs2=0.75. Analysis of 121 GEC FFPE tissues showed a broad range of MET expression levels (