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

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10586 General Poster Session (Board #48C), Mon, 1:15 PM-5:15 PM<br />

Multiplex TaqMan assays for a 7-gene prognostic immune response score to<br />

differentiate risk among women with ER-negative breast cancer. Presenting<br />

Author: John J. Sninsky, Celera Corporation, Alameda, CA<br />

Background: Teschendorff et al. (Breast Cancer Res 2008) reported a<br />

7-gene, immune response-enriched gene expression classifier using microarrays<br />

that was prognostic in women with ER-negative breast cancer. To<br />

facilitate further evaluation <strong>of</strong> the prognostic value <strong>of</strong> a classifier in archival<br />

fixed tumor tissue, we developed two multiplex TaqMan assays to quantify<br />

the expression levels <strong>of</strong> these genes, then trained and validated a 7-gene<br />

immune response score (IRS). Methods: RNA was extracted from FFPE<br />

sections <strong>of</strong> 185 ER-negative breast cancer patient samples from Mayo<br />

Clinic (n�81), Guy’s Hospital (n�50) and California Pacific Medical<br />

Center (CPMC) (n�27). Patients (N� and N-) did not receive adjuvant<br />

therapy and were followed for a minimum <strong>of</strong> 5 years. Amplification <strong>of</strong> i)<br />

LY9, TNFRSF17, HLA-F, and IGLC2 and ii) XCL2, SPP1, C1QA and two<br />

reference genes NUP214 and PPIG were carried out in two multiplex<br />

RT-PCR TaqMan reactions and relative expression levels were determined<br />

using the DDCT method. The training set, comprised <strong>of</strong> the Mayo Clinic<br />

samples, was used to develop an IRS by using a summation <strong>of</strong> expression<br />

levels <strong>of</strong> the 7 genes. Association <strong>of</strong> the IRS with distant metastasis was<br />

assessed using a Cox proportional hazards model. The score was subsequently<br />

tested in a validation set (Guy’s � CPMC). Results: The amplification<br />

efficiency <strong>of</strong> each gene within the multiplex reactions was comparable<br />

to singleplex reactions. Duplicate amplifications showed excellent assay<br />

reproducibility and sensitivity (R2�0.98). The hazard ratio for a single<br />

standard deviation decrease in the IRS was 1.45 (95% CI 0.99-2.12,<br />

p�0.056) in the training set and 2.18 (1.32-3.61, p�0.002) in the<br />

validation set. ROC curves <strong>of</strong> continuous IRS to predict distant metastasis<br />

within 5 years had AUC <strong>of</strong> 0.74, 95% CI � 0.60-0.88. Conclusions: Robust<br />

multiplex TaqMan assays for FFPE tissue extracted RNA were developed for<br />

a 7-gene IRS. Increases in risk are associated with decreases in the IRS.<br />

Immune related gene expression clearly plays an important role in the<br />

spectrum <strong>of</strong> risk <strong>of</strong> ER-negative tumors. Additional signatures are in<br />

development that further support this conclusion.<br />

10588 General Poster Session (Board #48E), Mon, 1:15 PM-5:15 PM<br />

Multisite validation <strong>of</strong> a 92-gene molecular classifier: Diagnostic accuracy<br />

and clinical utility in metastatic cancer. Presenting Author: Catherine A.<br />

Schnabel, bioTheranostics, Inc., San Diego, CA<br />

Background: Accurate tumor classification is increasingly critical to individualized<br />

care as patient outcomes improve with use <strong>of</strong> targeted cancer<br />

therapies and predictive biomarkers. In metastatic cancers <strong>of</strong> uncertain or<br />

unknown origin, identification <strong>of</strong> a primary site remains equivocal in a<br />

significant number <strong>of</strong> cases. Gene expression signatures may improve<br />

accuracy and specificity <strong>of</strong> tumor classification, however, large-scale,<br />

blinded validation studies that demonstrate stable performance in metastatic<br />

and poorly differentiated cases are currently lacking. Methods: Seven<br />

hundred and ninety cases (51% female, 44% metastatic, 63% grade 2 and<br />

3, 14% limited tissue specimens) representing 28 tumor types and 50<br />

subtypes were processed and adjudicated between Mayo Clinic, UCLA and<br />

Massachusetts General Hospital. Blinded FFPE tumor sections were<br />

submitted and tested using a 92-gene RT-PCR assay (CancerTYPE ID,<br />

bioTheranostics Inc.). Molecular predictions were evaluated for concordance<br />

with the reference diagnosis; diagnostic accuracy between clinical<br />

subsets was compared. Results: The 92-gene assay demonstrated overall<br />

sensitivities <strong>of</strong> 87% for tumor classification and 82% for subtyping.<br />

Forty-seven (5.9%) cases were considered unclassifiable. Comparative<br />

analysis <strong>of</strong> performance between metastatic (n�329) and primary (n�414)<br />

tumors showed no statistically significant difference in accuracy (85% vs<br />

88%, p�0.16). Similarly, no significant decreases in performance were<br />

observed across histological grades (p�0.58) and when comparing limited<br />

tissue to excisional biopsy specimens (p�0.16). Strong precision was<br />

demonstrated for accurate identification <strong>of</strong> a primary tumor in tissues<br />

biopsied from common metastatic sites, reported as positive predictive<br />

values <strong>of</strong> 100% for lung, brain and peritoneum, 92% for ovary and 80% for<br />

liver. Conclusions: Results from this multisite, blinded study validate the<br />

diagnostic accuracy <strong>of</strong> the 92-gene assay for classifying a diverse set <strong>of</strong><br />

tumors, and support its clinical utility in the diagnosis <strong>of</strong> metastatic tumors<br />

to determine tissue <strong>of</strong> origin, and in the differential diagnosis <strong>of</strong> metastatic<br />

vs new primary disease.<br />

Tumor Biology<br />

677s<br />

10587 General Poster Session (Board #48D), Mon, 1:15 PM-5:15 PM<br />

Specific and sensitive detection <strong>of</strong> BRAF and KRAS mutations in clinical<br />

samples. Presenting Author: Vanessa Kelchner, Swift Biosciences, Inc,<br />

Ann Arbor, MI<br />

Background: The development <strong>of</strong> highly sensitive and specific genotyping<br />

assays that are suitable for clinical research and molecular diagnostics<br />

opens new opportunities for the detection, assessment, and research <strong>of</strong><br />

cancer. Swift Biosciences has developed myT Primer qPCR technology<br />

which has unique structural and thermodynamic properties that enables<br />

highly sensitive mismatch discrimination. The myT Primer reagents can<br />

detect 1% mutant BRAF or KRAS present in a background <strong>of</strong> 103 wild-type<br />

genomic DNA copies with no background signal from wild-type. A separate<br />

ultrasensitive BRAF format has been developed which enables the detection<br />

<strong>of</strong> a single mutant BRAF copy in � 104 wild-type genomic DNA copies,<br />

representing 0.01% detection. Methods: To evaluate the performance on<br />

clinical samples, DNA was prepared from 26 melanoma, 40 colorectal, and<br />

49 lung tumor fresh frozen and FFPE samples, and their corresponding<br />

normal adjacent samples. qPCR was performed using standard cycling<br />

conditions in single tube format with allele-specific myT primers to assess<br />

two BRAF alleles or seven KRAS alleles. Performance <strong>of</strong> the assay was<br />

evaluated on the ABI 7500, CFX96, and Roche LightCycler. A subset <strong>of</strong><br />

samples were selected for validation by Sanger sequencing. Results:<br />

Mutations <strong>of</strong> BRAF in melanoma, colorectal, and lung tumors were<br />

observed to be 46%, 5%, and 2%, in concordance with published data for<br />

the frequency <strong>of</strong> BRAF mutations. Mutations <strong>of</strong> KRAS in colorectal cancer<br />

were observed to be in 17/40, or 42% <strong>of</strong> samples, consistent with<br />

published reports <strong>of</strong> KRAS in colorectal cancer. 34% <strong>of</strong> lung cancer<br />

samples had a KRAS mutation, also consistent with available statistics.<br />

Mutation status was confirmed with Sanger sequencing in the subset <strong>of</strong><br />

selected samples. Conclusions: The extreme selectivity <strong>of</strong> the myT BRAF<br />

Primers makes them well suited for genotyping <strong>of</strong> conventional FFPE and<br />

frozen tissue samples, whereas the ultrasensitive format is ideal for use<br />

with difficult samples such as needle biopsies, CTCs, and serum. The<br />

extreme selectivity <strong>of</strong> these primers results in a definitive Yes/No answer<br />

and eliminates the need to use a delta Ct method.<br />

10589 General Poster Session (Board #48F), Mon, 1:15 PM-5:15 PM<br />

A pilot study on the clinical value <strong>of</strong> 18F-sodium fluoride PET/CT in<br />

advanced prostate cancer. Presenting Author: Joseph W. Kim, Medical<br />

Oncology Branch, National Cancer Institute, National Institutes <strong>of</strong> Health,<br />

Bethesda, MD<br />

Background: We evaluated the clinical utility <strong>of</strong> 18F-sodium fluoride PET/CT<br />

bone scan ( 18F-NaF) in the detection <strong>of</strong> bone metastases in patients (pts)<br />

with prostate cancer in comparison with Technetium-99m MDP bone scan<br />

(TcBS). Methods: In a prospective study, from October 2010-December<br />

2011, 30 prostate cancer pts (ages 51-79), 21 with known bone metastases<br />

and 9 without known bone metastases, had18F-NaF and a TcBS<br />

performed. Abnormal foci <strong>of</strong> uptake on both TcBS and 18F-NaFwere classified as benign, malignant or indeterminate. Benign lesions included<br />

uptake in the joints and linear uptake at the endplates <strong>of</strong> the vertebral<br />

bodies consistent with degenerative changes. Malignant uptake on 18F-NaF scans was confirmed by characteristic osteoblastic features on CT. All TcBS<br />

and 18F-NaF were reviewed by an experienced nuclear medicine physician.<br />

For the patient-based analysis, scan results were categorized as positive<br />

(POS) � any malignant lesion; indeterminate (IND) � not distinctly<br />

malignant or benign; negative (NEG) � benign lesions only. Results: In the<br />

lesion-based analysis, 21 <strong>of</strong> 30 (70%) pts had more malignant lesions<br />

identified on 18F-NaF than on TcBS. The mean number <strong>of</strong> additional<br />

malignant lesions per patient on 18F-NaF vs TcBS was 4. Eight <strong>of</strong> the 30 pts<br />

had same number <strong>of</strong> malignant lesions identified in both studies. One <strong>of</strong> 30<br />

pts had one less malignant lesion identified on 18F-NaF than on TcBS. CT<br />

correlation by 18F-NaF PET/CT <strong>of</strong> this particular lesion did not confirm<br />

osteoblastic feature. Malignant lesion distribution on 18F-NaF included:<br />

spine (28%), thorax (26%), pelvis (24%), long bones (13%) and skull<br />

(10%). In the patient-based analysis, 24 pts (80%) were POS by 18F-NaF, <strong>of</strong> whom 14 pts were POS, 8 were IND, and 2 were NEG by corresponding<br />

TcBS; in the 4 pts with NEG 18F-NaF, zero were POS, 2 were IND and 2<br />

were NEG by corresponding TcBS. Conclusions: 18F-NaF identified more<br />

malignant lesions than TcBS. 18F-NaF may also add useful information in<br />

the management <strong>of</strong> advanced prostate cancer pts with and without known<br />

bone metastases.<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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