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Annual Meeting Proceedings Part 1 - American Society of Clinical ...

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10528 Poster Discussion Session (Board #21), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

New microRNA-based diagnostic test for lung cancer classification. Presenting<br />

Author: Ranit Aharonov, Rosetta Genomics, Rehovot, Israel<br />

Background: Lung cancer is the leading cause <strong>of</strong> cancer deaths in the US.<br />

Treatment options are determined by tumor subtyping, for which there is<br />

lack <strong>of</strong> standardized, objective, and highly accurate techniques. In 20%-<br />

30% <strong>of</strong> cases significant limitations <strong>of</strong> tumor quantity and quality prevent<br />

full classification <strong>of</strong> the tumor using traditional diagnostic methods. Using<br />

microRNA microarray data generated from over a hundred formalin-fixed,<br />

paraffin-embedded (FFPE) primary lung cancer samples, we have identified<br />

microRNA expression pr<strong>of</strong>iles that differ significantly for the main lung<br />

cancer types. Based on these findings, we have developed and validated a<br />

microRNA-based qRT-PCR assay that differentiates primary lung cancers<br />

into four types: squamous cell carcinoma, non-squamous non-small cell<br />

lung cancer, carcinoid and small cell carcinoma. Methods: Over 700<br />

primary tumor samples from different histological types <strong>of</strong> lung cancer were<br />

collected. Samples included FFPE blocks from resection or biopsies and<br />

cell blocks from cytology specimens including fine needle aspiration,<br />

bronchial brushing and bronchial washing. High-quality RNA was extracted<br />

from the samples using proprietary protocols. Expression levels <strong>of</strong> potential<br />

microRNA biomarkers were pr<strong>of</strong>iled using microarrays followed by a<br />

sensitive and specific qRT-PCR platform. An assay for lung tumors<br />

classification using 8 microRNAs on qRT-PCR was developed based on<br />

data from 261 samples. This assay was validated on an independent<br />

blinded set <strong>of</strong> 451 cytological and pathological samples. Results: Using the<br />

expression levels <strong>of</strong> 8 microRNAs measured in qRT-PCR, accurate classification<br />

<strong>of</strong> the primary lung tumors into the four main cancer types is<br />

obtained. The microRNA-based assay reached an accuracy <strong>of</strong> 94%.<br />

Moreover, cytological samples composed over 50% <strong>of</strong> the validation set<br />

and reached an accuracy <strong>of</strong> 95%. Conclusions: We present here a new<br />

microRNA-based assay for the classification <strong>of</strong> the four main types <strong>of</strong> lung<br />

cancer based only on the expression <strong>of</strong> 8 microRNAs. This assay displays<br />

very high levels <strong>of</strong> accuracy for both pathological and cytological samples.<br />

The assay comprises a standardized, well-tested and objective tool which<br />

can assist physicians in the diagnosis <strong>of</strong> lung cancer.<br />

10530 Poster Discussion Session (Board #23), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

Molecular gene expression pr<strong>of</strong>iling to predict the tissue <strong>of</strong> origin and direct<br />

site-specific therapy in patients (pts) with carcinoma <strong>of</strong> unknown primary<br />

site (CUP): Results <strong>of</strong> a prospective Sarah Cannon Research Institute<br />

(SCRI) trial. Presenting Author: Frank A. Greco, SCRI/Tennessee Oncology,<br />

PLLC, Nashville, TN<br />

Background: Tumor pr<strong>of</strong>iling is an emergent technique to determine tissue<br />

<strong>of</strong> origin in CUP patients. However, the value <strong>of</strong> these predictions in<br />

improving treatment efficacy is unknown. In this prospective trial, we used<br />

tumor pr<strong>of</strong>iling results to direct site-specific therapy for CUP pts. Methods:<br />

A 92-gene RT-PCR assay (CancerTYPE ID; bioTheranostics, Inc.) was<br />

performed on tumor biopsies from previously untreated CUP pts who<br />

consented. When a tissue <strong>of</strong> origin was predicted, pts who were treatment<br />

candidates were assigned standard site-specific first-line therapy. Results:<br />

Between 10/08 and 12/11, 289 pts were enrolled, 252 had successful<br />

assays performed, and 247 (98%) had a tissue <strong>of</strong> origin predicted. 224 pts<br />

were eligible for treatment; 197 pts received assay-directed treatment.<br />

120 <strong>of</strong> 224 treated pts (54%) had assay diagnoses <strong>of</strong> tumor types known to<br />

derive substantial benefit from standard site-specific treatment (bladder<br />

27, colorectal 26, NSCLC 24, breast 10, ovary 10, kidney 9, prostate 4,<br />

germ cell 4, others 6 (3 sites), while 104 pts (46%) had assay diagnoses <strong>of</strong><br />

relatively resistant tumors (biliary tract 45, pancreas 12, gastroesophageal<br />

10, liver 7, sarcoma 5, cervix 5, others 20 (8 sites). Median OS for all<br />

treated pts was 10.8 months (mos); OS for 197 pts with assay-directed<br />

treatment was 12.2 mos (versus 6.0 mos for 27 pts receiving empiric<br />

therapy). Median OS was better in the 120 pts with assay diagnoses <strong>of</strong> more<br />

responsive tumor types (12.8 vs 7.4 mos; p � .027). Median OS (mos) in<br />

specific subgroups: pancreas 9, kidney 12, colon 12, NSCLC 16, ovary 30.<br />

Conclusions: This is the first prospective trial in which molecular pr<strong>of</strong>iling<br />

has directed site-specific therapy in CUP pts. Assay-directed therapy in<br />

197 pts produced a median OS (12.2 mos) that compares favorably with<br />

previous empiric CUP therapy. CUP pts predicted to have more responsive<br />

tumor types had longer survival compared to less responsive types,<br />

suggesting accurate identification by the assay. These results strengthen<br />

the rationale for molecular pr<strong>of</strong>iling in CUP management.<br />

Tumor Biology<br />

663s<br />

CRA10529 Poster Discussion Session (Board #22), Tue, 8:00 AM-12:00 PM<br />

and 11:30 AM-12:30 PM<br />

Regional screening network for characterization <strong>of</strong> the molecular epidemiology<br />

<strong>of</strong> non-small cell lung cancer (NSCLC) and implementation <strong>of</strong><br />

personalized treatment. Presenting Author: Thomas Zander, Lung Cancer<br />

Group Cologne, Center for Integrated Oncology, University Hospital Cologne,<br />

Cologne, Germany<br />

The full, final text <strong>of</strong> this abstract will be available at<br />

abstract.asco.org at 12:01 AM (EDT) on Monday, June 4,<br />

2012, and in the <strong>Annual</strong> <strong>Meeting</strong> <strong>Proceedings</strong> online<br />

supplement to the June 20, 2012, issue <strong>of</strong> Journal <strong>of</strong><br />

<strong>Clinical</strong> Oncology. Onsite at the <strong>Meeting</strong>, this abstract will<br />

be printed in the Monday edition <strong>of</strong> ASCO Daily News.<br />

10531 General Poster Session (Board #41D), Mon, 1:15 PM-5:15 PM<br />

Homeobox B9: A potential surrogate marker for bevacizumab in combination<br />

with chemotherapy in colorectal cancer. Presenting Author: Yoshinori<br />

Hoshino, Department <strong>of</strong> Surgery, Keio University School <strong>of</strong> Medicine,<br />

Tokyo, Japan<br />

Background: Homeobox B9 (HOXB9) is known to be overexpressed in<br />

human breast cancer and pr<strong>of</strong>oundly related to tumorigenicity, lung<br />

metastasis and radio-resistance. (Hayashida, PNAS 2010, and Chiba,<br />

PNAS 2011). However, little is known about the relation between the<br />

expression <strong>of</strong> HOXB9 and angiogenesis in colorectal cancer (CRC). We<br />

aimed to clarify the impact <strong>of</strong> HOXB9 in CRC and evaluate the importance<br />

for bevacizumab treatment. Methods: The expression <strong>of</strong> HOXB9 in human<br />

CRC specimens was analyzed. Then, we introduced HOXB9 construct into<br />

human CRC cell lines and examined TGF� signaling and angiogenic<br />

factors. Xenograft model was established by these cell lines either with or<br />

without the administration <strong>of</strong> bevacizumab (5mg/kg, weekly) intraperitoneally.<br />

Finally, we examined the mRNA levels <strong>of</strong> consecutive patients who<br />

were treated by chemotherapy with bevacizumab in our institute and<br />

calculated the Kaplan- Meier curve with log-rank test. Results: 47 <strong>of</strong> 69<br />

surgical specimens (67%) showed positive expression <strong>of</strong> HOXB9 mRNA.<br />

The high HOXB9 mRNA levels significantly correlated with poor differentiation<br />

and liver metastasis. The HOXB9-overexpressed cell lines showed<br />

significantly higher expression <strong>of</strong> TGF� signaling target genes and angiogenic<br />

factors. HOXB9 overexpression significantly increased tumor volume<br />

and burden with higher microvessel density in vivo, even though the cell<br />

proliferation decreased in vitro. Notably, HOXB9-overexpressed tumor was<br />

dramatically shrunk by administration <strong>of</strong> bevacizumab (tumor shrinkage<br />

rate; 93% vs. 42% in HT29, 83% vs. 27% in HCT116). Patients with high<br />

expression <strong>of</strong> HOXB9 in tumor showed significantly longer progression free<br />

and overall survival periods (n�39). Conclusions: Our results demonstrated<br />

that patients with high expression <strong>of</strong> HOXB9 in tumor had better prognosis<br />

with bevacizumab treatment but worse without. In vivo and in vitro<br />

experiments revealed that HOXB9 might orchestrate angiogenesis and<br />

establish positive feedback between cancer cells and microenvironment.<br />

Bevacizumab might inhibit the feedback to reduce tumor growth dramatically.<br />

Therefore, HOXB9 may work as a potential surrogate marker <strong>of</strong><br />

bevacizumab treatment in CRC.<br />

Visit abstract.asco.org and search by abstract for the full list <strong>of</strong> abstract authors and their disclosure information.

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