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There is growing interest in delivering genomically informed cancer therapy. Our aim was to determine the concordance of genomic alterations between primary and recurrent breast cancer. Targeted next-generation sequencing was performed on formalin-fixed paraffin-embedded (FFPE) samples, profiling 3,320 exons of 182 cancer-related genes plus 37 introns from 14 genes often rearranged in cancer. Point mutations, indels, copy-number alterations (CNA), and select rearrangements were assessed in 74 tumors from 43 patients (36 primary and 38 recurrence/metastases). Alterations potentially targetable with established or investigational therapeutics were considered “actionable.” Alterations were detected in 55 genes (mean 3.95 alterations/sample, range 1–12), including mutations in PIK3CA, TP53, ARID1A, PTEN, AKT1, NF1, FBXW7, and FGFR3 and amplifications in MCL1, CCND1, FGFR1, MYC, IGF1R, MDM2, MDM4, AKT3, CDK4, and AKT2. In 33 matched primary and recurrent tumors, 97 of 112 (86.6%) somatic mutations were concordant. Of identified CNAs, 136 of 159 (85.5%) were concordant: 37 (23.3%) were concordant, but below the reporting threshold in one of the matched samples, and 23 (14.5%) discordant. There was an increased frequency of CDK4/MDM2 amplifications in recurrences, as well as gains and losses of other actionable alterations. Forty of 43 (93%) patients had actionable alterations that could inform targeted treatment options. In conclusion, deep genomic profiling of cancer-related genes reveals potentially actionable alterations in most patients with breast cancer. Overall there was high concordance between primary and recurrent tumors. Analysis of recurrent tumors before treatment may provide additional insights, as both gains and losses of targets are observed. Mol Cancer Ther; 13(5); 1382–9. ©2014 AACR.

XLSX - 13K, Table 1a. 182 genes across entire coding sequence Table 1b. 14 genes sequenced across selected introns.

XLSX - 22K, Substitution, insertion and deletion mutations/large structural alterations.

PDF - 138K, Adjuvant systemic treatments.

PDF - 36K, Samples tested.

PDF - 168K, Detailed analysis of matched primary and recurrent/metastatic breast tumors.

Purpose: We undertook this study to determine the prevalence of estrogen receptor (ER) α (ESR1) mutations throughout the natural history of hormone-dependent breast cancer and to delineate the functional roles of the most commonly detected alterations.Experimental Design: We studied a total of 249 tumor specimens from 208 patients. The specimens include 134 ER-positive (ER+/HER2−) and, as controls, 115 ER-negative (ER−) tumors. The ER+ samples consist of 58 primary breast cancers and 76 metastatic samples. All tumors were sequenced to high unique coverage using next-generation sequencing targeting the coding sequence of the estrogen receptor and an additional 182 cancer-related genes.Results: Recurring somatic mutations in codons 537 and 538 within the ligand-binding domain of ER were detected in ER+ metastatic disease. Overall, the frequency of these mutations was 12% [9/76; 95% confidence interval (CI), 6%–21%] in metastatic tumors and in a subgroup of patients who received an average of 7 lines of treatment the frequency was 20% (5/25; 95% CI, 7%–41%). These mutations were not detected in primary or treatment-naïve ER+ cancer or in any stage of ER− disease. Functional studies in cell line models demonstrate that these mutations render estrogen receptor constitutive activity and confer partial resistance to currently available endocrine treatments.Conclusions: In this study, we show evidence for the temporal selection of functional ESR1 mutations as potential drivers of endocrine resistance during the progression of ER+ breast cancer. Clin Cancer Res; 20(7); 1757–67. ©2014 AACR.

PDF file - 187K, Supplementary Table 1: Detailed demographic information of all patients with metastatic breast cancer, including cohorts LM+ and EM+. Supplementary Table 2: ESR1 variant sequence data details. Abbreviations: cvg, coverage, N/A, non-applicable. Supplementary Table 3: List of genes sequenced by captured next generation sequencing. Supplementary figure 1: Genomic profiles of primary and metastatic tumors. Genomic alterations were found in 32 genes in primary and metastatic ER+ breast cancers. Genes are listed from the most frequently altered to least altered gene. Supplementary figure 2: No change in WT and mutant ER activity across a wide range of E2 doses. Luciferase activity in 293T cells after co-transfection of the ERE-TK-Luc reporter vector along with WT-ER, Y537N or D538G and E2 stimulation using doses of E2 ranging from 0.01nM to 100nM or vehicle treatment.

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There is growing interest in delivering genomically informed cancer therapy. Our aim was to determine the concordance of genomic alterations between primary and recurrent breast cancer. Targeted next-generation sequencing was performed on formalin-fixed paraffin-embedded (FFPE) samples, profiling 3,320 exons of 182 cancer-related genes plus 37 introns from 14 genes often rearranged in cancer. Point mutations, indels, copy-number alterations (CNA), and select rearrangements were assessed in 74 tumors from 43 patients (36 primary and 38 recurrence/metastases). Alterations potentially targetable with established or investigational therapeutics were considered “actionable.” Alterations were detected in 55 genes (mean 3.95 alterations/sample, range 1–12), including mutations in PIK3CA, TP53, ARID1A, PTEN, AKT1, NF1, FBXW7, and FGFR3 and amplifications in MCL1, CCND1, FGFR1, MYC, IGF1R, MDM2, MDM4, AKT3, CDK4, and AKT2. In 33 matched primary and recurrent tumors, 97 of 112 (86.6%) somatic mutations were concordant. Of identified CNAs, 136 of 159 (85.5%) were concordant: 37 (23.3%) were concordant, but below the reporting threshold in one of the matched samples, and 23 (14.5%) discordant. There was an increased frequency of CDK4/MDM2 amplifications in recurrences, as well as gains and losses of other actionable alterations. Forty of 43 (93%) patients had actionable alterations that could inform targeted treatment options. In conclusion, deep genomic profiling of cancer-related genes reveals potentially actionable alterations in most patients with breast cancer. Overall there was high concordance between primary and recurrent tumors. Analysis of recurrent tumors before treatment may provide additional insights, as both gains and losses of targets are observed. Mol Cancer Ther; 13(5); 1382–9. ©2014 AACR.

Background. The aim of this study was to assess the frequency of potentially actionable genomic alterations in breast cancer that could be targeted with approved agents or investigational drugs in clinical trials using a next-generation sequencing-based genomic profiling assay performed in a Clinical Laboratory Improvement Amendments-certified and College of American Pathologists-accredited commercial laboratory. Methods. Fifty-one breast cancers were analyzed, including primary tumor biopsies of 33 stage I–II and 18 stage IV cancers (13 soft tissue, 3 liver, and 2 bone metastases). We assessed 3,230 exons in 182 cancer-related genes and 37 introns in 14 genes often rearranged in cancer for base substitutions, indels, copy number alterations, and gene fusions. The average median sequencing depth was 1,154×. Results. We observed 158 genomic alterations in 55 genes in 48 of 51 (94%) tumors (mean 3.1, range 0–9). The average number of potentially therapeutically relevant alterations was similar in primary (1.6, range 0–4) and in heavily pretreated metastatic cancers (2.0, range 0–4) (p = .24). The most common actionable alterations were in PIK3CA (n = 9, phosphatidylinositol 3-kinase [PI3K]/mammalian target of rapamycin [mTOR] inhibitors), NF1 (n = 7, PI3K/mTOR/mitogen-activated protein kinase inhibitors), v-akt murine thymoma viral oncogene homolog 1-3 (n = 7, PI3K/mTOR/AKT inhibitors), BRCA1/2 (n = 6, poly[ADP-ribose] polymerase inhibitors), and CCND1,2 and CCNE (n = 8)/cycline dependent kinase (CDK)6 (n = 1) (CDK4/6 inhibitors), KIT (n = 1, imatinib/sunitinib), ALK (n = 1, crizotinib), FGFR1,2 (n = 5, fibroblast growth factor receptor inhibitors), and EGFR (n = 2, epidermal growth factor receptor inhibitors). Our sequencing assay also correctly identified all six cases with HER2 (ERBB2) amplification by fluorescence in situ hybridization when tumor content was adequate. In addition, two known activating HER2 mutations were identified, both in unamplified cases. Conclusion. Overall, 84% of cancers harbored at least one genomic alteration linked to potential treatment options. Systematic evaluation of the predictive value of these genomic alterations is critically important for further progress in this field.

Neoadjuvant chemotherapy (NAC) induces a pathologic complete response (pCR) in approximately 30% of patients with triple-negative breast cancers (TNBC). In patients lacking a pCR, NAC selects a subpopulation of chemotherapy-resistant tumor cells. To understand the molecular underpinnings driving treatment-resistant TNBCs, we performed comprehensive molecular analyses on the residual disease of 74 clinically defined TNBCs after NAC, including next-generation sequencing (NGS) on 20 matched pretreatment biopsies. Combined NGS and digital RNA expression analysis identified diverse molecular lesions and pathway activation in drug-resistant tumor cells. Ninety percent of the tumors contained a genetic alteration potentially treatable with a currently available targeted therapy. Thus, profiling residual TNBCs after NAC identifies targetable molecular lesions in the chemotherapy-resistant component of the tumor, which may mirror micrometastases destined to recur clinically. These data can guide biomarker-driven adjuvant studies targeting these micrometastases to improve the outcome of patients with TNBC who do not respond completely to NAC. Significance: This study demonstrates the spectrum of genomic alterations present in residual TNBC after NAC. Because TNBCs that do not achieve a CR after NAC are likely to recur as metastatic disease at variable times after surgery, these alterations may guide the selection of targeted therapies immediately after mastectomy before these metastases become evident. Cancer Discov; 4(2); 232–45. ©2013 AACR. This article is highlighted in the In This Issue feature, p. 131

Most personalized cancer care strategies involving DNA sequencing are highly reliant on acquiring sufficient fresh or frozen tissue. It has been challenging to comprehensively evaluate the genome of advanced prostate cancer (PCa) because of limited access to metastatic tissue.To demonstrate the feasibility of a novel next-generation sequencing (NGS)-based platform that can be used with archival formalin-fixed paraffin-embedded (FFPE) biopsy tissue to evaluate the spectrum of DNA alterations seen in advanced PCa.FFPE samples (including archival prostatectomies and prostate needle biopsies) were obtained from 45 patients representing the spectrum of disease: localized PCa, metastatic hormone-naive PCa, and metastatic castration-resistant PCa (CRPC). We also assessed paired primaries and metastases to understand disease heterogeneity and disease progression.At least 50 ng of tumor DNA was extracted from FFPE samples and used for hybridization capture and NGS using the Illumina HiSeq 2000 platform.A total of 3320 exons of 182 cancer-associated genes and 37 introns of 14 commonly rearranged genes were evaluated for genomic alterations.We obtained an average sequencing depth of900X. Overall, 44% of CRPCs harbored genomic alterations involving the androgen receptor gene (AR), including AR copy number gain (24% of CRPCs) or AR point mutation (20% of CRPCs). Other recurrent mutations included transmembrane protease, serine 2 gene (TMPRSS2):v-ets erythroblastosis virus E26 oncogene homolog (avian) gene (ERG) fusion (44%); phosphatase and tensin homolog gene (PTEN) loss (44%); tumor protein p53 gene (TP53) mutation (40%); retinoblastoma gene (RB) loss (28%); v-myc myelocytomatosis viral oncogene homolog (avian) gene (MYC) gain (12%); and phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit α gene (PIK3CA) mutation (4%). There was a high incidence of genomic alterations involving key genes important for DNA repair, including breast cancer 2, early onset gene (BRCA2) loss (12%) and ataxia telangiectasia mutated gene (ATM) mutations (8%); these alterations are potentially targetable with poly(adenosine diphosphate-ribose)polymerase inhibitors. A novel and actionable rearrangement involving the v-raf murine sarcoma viral oncogene homolog B1 gene (BRAF) was also detected.This first-in-principle study demonstrates the feasibility of performing in-depth DNA analyses using FFPE tissue and brings new insight toward understanding the genomic landscape within advanced PCa.

To ascertain the genetic basis of pediatric Burkitt lymphoma (pBL), we performed clinical-grade next-generation sequencing of 182 cancer-related genes on 29 formalin-fixed, paraffin embedded primary pBL samples. Ninety percent of cases had at least one mutation or genetic alteration, most commonly involving MYC and TP53. EBV(−) cases were more likely than EBV(+) cases to have multiple mutations (P < .0001). Alterations in tumor-related genes not previously described in BL were identified. Truncating mutations in ARID1A, a member of the SWI/SNF nucleosome remodeling complex, were seen in 17% of cases. MCL1 pathway alterations were found in 22% of cases and confirmed in an expanded panel. Other clinically relevant genomic alterations were found in 20% of cases. Our data suggest the roles of MCL1 and ARID1A in BL pathogenesis and demonstrate that comprehensive genomic profiling may identify additional treatment options in refractory disease.

Background: As more therapies targeting genomic alterations become available, next-generation sequencing (NGS) is increasingly performed in tumor types where mutational status may drive treatment choice. In addition to its ability to identify base substitutions, insertions and deletions across entire exons, NGS can detect relevant copy number changes such as amplification of HER2 in breast tumors. However, for NGS to be clinically applicable, it must reliably analyze FFPE tumor samples and show concordance with the best current diagnostic methods. Methods: To confirm a clinical role for NGS in detecting copy number alterations, we identified 35 FFPE invasive breast carcinomas previously tested for HER2 status by FISH, including 15 HER2 positives (≥7 copies) and 20 HER2 negatives (900X uniquely-mapping reads was obtained. Sequence data were analyzed for HER2 copy number (blinded to FISH results) based on a statistical model using allele frequencies and coverage depth of HER2 exons versus a process-matched normal control, classifying cases as HER2 positive (≥6 average copies), HER2 negative ( Results: High concordance was noted between HER2 copy number status determined by FISH and NGS: 30 of the 35 samples were classified as positive or negative by NGS, 1 was classified as intermediate and 4 as unknown due to low purity. Using FISH as a gold standard, NGS HER2 calls demonstrated an accuracy of 97% (29/30, 95% CI 83–99%), 93% sensitivity (13/14, 95% CI 69–99%) and 100% specificity (16/16, 95% CI 81–100%). One discordant case was noted (FISH positive, NGS negative). Furthermore, NGS revealed 70 additional alterations (38 base substitutions, 10 insertions/deletions, 22 copy number alterations) in 23 cancer genes (an average of 2.0 alterations per sample). Genomic alterations that predict sensitivity or resistance to approved or experimental targeted therapies and thus plausibly guide treatment decisions were found in 69% of patients. These include PIK3CA (16 cases, PI3 kinase/mTOR inhibitors), PTEN (3 cases, PI3K/AKT/mTOR inhibitors), KRAS (1 case, resistance to cetuximab and panitumumab), and NF1 (1 case, mTOR/MAPK inhibitors) plus amplifications of CCND1 (4 cases, CDK4 inhibitors), FGFR1 (3 cases, FGF inhibitors) and MCL1 (3 cases, BCL-2 inhibitors, resistance to anti-tubulin therapies). Four cases included co-amplification of RARA with HER2. Conclusions: We conclude that HER2 status can be reliably determined by NGS on FFPE breast cancers and that NGS uncovers additional actionable genomic alterations that could impact disease management in a high proportion of patients. Further evaluation of NGS as a guide to therapy in breast cancer is warranted. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD02-07.

Background: Neoadjuvant chemotherapy (NAC) is increasingly used in patients with triple-negative breast cancer (TNBC). NAC can induce a pathologic complete response (pCR) in ∼30% of patients which portends a favorable prognosis. In contrast, patients with residual disease (RD) in the breast at surgical resection exhibit worse outcomes. Objective: We hypothesized that profiling residual TNBCs after NAC would identify molecularly targetable lesions in the chemotherapy-resistant component of the tumor and that the persistent tumor cells would mirror micro-metastases which ultimately recur in such patients. Methods: We utilized targeted next generation sequencing (NGS) for 182 oncogenes and tumor suppressors in a CLIA certified lab (Foundation Medicine, Cambridge, MA) and gene expression profiling (NanoString) of the RD after NAC in 102 patients with TNBC. The RD was stained for Ki67, which has been reported to predict outcome after NAC in unselected breast cancers. Results: Thirteen tumors were not evaluable due to low tumor cellularity. Of 89 evaluable post-NAC tumors, 57 (64%) were basal-like; 19% HER2-enriched; 6% luminal A; 6% luminal B and 5% normal-like. Mean depth of coverage was 635 (range: 135–1207). Of 81 tumors evaluated by NGS, 72/81 (89%) demonstrated mutations in TP53, 22 were MCL1-amplified (27%), and 17 were MYC-amplified (21%). Alterations in the PI3K/mTOR pathway (AKT1-3, PIK3CA, PIK3R1, RAPTOR, PTEN, and TSC1) were identified in 27 tumors (33%). Cell cycle genes were altered in 25 tumors (31%), including amplifications of CDK2, CDK4, and CDK6, CCND1-3, and CCNE1 as well as RB loss. Alterations in the DNA repair pathway (BRCA1/2, ATM; 16 tumors; 20%) and the Ras/MAPK pathway (KRAS, RAF1, NF1; 10 tumors; 12%) were also common. Sporadic growth factor receptor amplifications occurred in EGFR, KIT, PDGFRA, PDGFRB, MET, FGFR1, FGFR2, and IGF1R. NGS identified 7 patients with ERBB2 gene amplification in the RD which was confirmed by FISH in both the pre- and post-treatment tissue, suggesting NGS could assist in the identification of ERBB2-overexpressing tumors misclassified at the time of diagnosis. In general, the gene amplifications identified by NGS corresponded to enhanced gene expression levels. Amplifications of MYC were independently associated with poor recurrence-free survival (RFS) and overall survival (OS). An interaction effect on survival was observed between MEK activation (assayed by a gene expression signature) and MYC amplification, suggesting cooperation between these pathways. Alterations in DNA repair also identified a subgroup with poor RFS and OS. In contrast, high post-NAC Ki67 score did not predict poor RFS or OS in this predominantly TNBC cohort. Conclusions: The diversity of lesions in residual TNBCs after NAC underscores the need for powerful and broad molecular approaches to identify actionable molecular alterations and, in turn, better inform personalized therapy of this aggressive disease. Incorporation of this platform into clinical studies and eventually standards of care should aid in the prioritization of patients with RD after NAC into rational adjuvant studies. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr S3-6.

Purpose Several mechanisms have been proposed to explain tamoxifen resistance of estrogen receptor (ER) –positive tumors, but a clinically useful explanation for such resistance has not been described. Because the ER is the treatment target for tamoxifen, a linear association between ER expression levels and the degree of benefit from tamoxifen might be expected. However, such an association has never been demonstrated with conventional clinical ER assays, and the ER is currently used clinically as a dichotomous marker. We used gene expression profiling and ER protein assays to help elucidate molecular mechanism(s) responsible for tamoxifen resistance in breast tumors. Patients and Methods We performed gene expression profiling of paraffin-embedded tumors from National Surgical Adjuvant Breast and Bowel Project (NSABP) trials that tested the worth of tamoxifen as an adjuvant systemic therapy (B-14) and as a preventive agent (P-1). This was a retrospective subset analysis based on available materials. Results In B-14, ESR1 was the strongest linear predictor of tamoxifen benefit among 16 genes examined, including PGR and ERBB2. On the basis of these data, we hypothesized that, in the P-1 trial, a lower level of ESR1 mRNA in the tamoxifen arm was the main difference between the two study arms. Only ESR1 was downregulated by more than two-fold in ER-positive cancer events in the tamoxifen arm (P < .001). Tamoxifen did not prevent ER-positive tumors with low levels of ESR1 expression. Conclusion These data suggest that low-level expression of ESR1 is a determinant of tamoxifen resistance in ER-positive breast cancer. Strategies should be developed to identify, treat, and prevent such tumors.

DNA sequence analysis has become a significant laboratory test in oncology, permitting treatment to become increasingly personalized for both solid tumors and hematologic malignancies. Traditional approaches to sequence analysis, including Sanger sequencing, pyrosequencing and allele-specific PCR, are now widely used to guide therapy for patients diagnosed with lung and colorectal cancer as well as for melanoma, sarcomas (e.g., gastrointestinal stromal tumors) and subtypes of leukemia and lymphoma. Traditional sequence analysis has been limited in bandwidth and throughput and as a result, has been focused exclusively on testing the most common aberrations in key genes or fully sequencing single genes. The massively parallel or next-generation sequencing (NGS) approach to DNA analysis holds a number of potential advantages over the traditional methods, including the ability to fully sequence large numbers of genes (hundreds to thousands) in a single test. Furthermore, NGS can simultaneously detect deletions, insertions, copy number alterations, translocations and exome-wide base substitutions (including known hot-spot mutations) in all known cancer-related genes. However, significant challenges, particularly with respect to demands on expertise and infrastructure, will have to be overcome to translate NGS to the bedside of the cancer patient. Extensive computational expertise is required to bring NGS into clinical context, and a deep knowledge of cancer medicine and cancer biology will be required to generate truly useful, so-called ‘clinically actionable’ reports for clinicians. While NGS is on the cusp of being launched as a clinical test, it may be expected that the near future will continue to bring major advances in the technology that will lower the overall cost, speed up the turnaround time, increase the breadth of genome sequencing, and detect epigenetic markers and other important genomic parameters, while becoming applicable to smaller and smaller specimens, including circulating tumor cells and circulating free DNA in plasma.

Primary chemotherapy provides an ideal opportunity to correlate gene expression with response to treatment. We used paraffin-embedded core biopsies from a completed phase II trial to identify genes that correlate with response to primary chemotherapy. Patients with newly diagnosed stage II or III breast cancer were treated with sequential doxorubicin 75 mg/M2 q2 wks × 3 and docetaxel 40 mg/M2 weekly × 6; treatment order was randomly assigned. Pretreatment core biopsy samples were interrogated for genes that might correlate with pathologic complete response (pCR). In addition to the individual genes, the correlation of the Oncotype DX Recurrence Score with pCR was examined. Of 70 patients enrolled in the parent trial, core biopsies samples with sufficient RNA for gene analyses were available from 45 patients; 9 (20%) had inflammatory breast cancer (IBC). Six (14%) patients achieved a pCR. Twenty-two of the 274 candidate genes assessed correlated with pCR (p

Purpose The 21-gene recurrence score (RS) assay quantifies the likelihood of distant recurrence in women with estrogen receptor–positive, lymph node–negative breast cancer treated with adjuvant tamoxifen. The relationship between the RS and chemotherapy benefit is not known. Methods The RS was measured in tumors from the tamoxifen-treated and tamoxifen plus chemotherapy–treated patients in the National Surgical Adjuvant Breast and Bowel Project (NSABP) B20 trial. Cox proportional hazards models were utilized to test for interaction between chemotherapy treatment and the RS. Results A total of 651 patients were assessable (227 randomly assigned to tamoxifen and 424 randomly assigned to tamoxifen plus chemotherapy). The test for interaction between chemotherapy treatment and RS was statistically significant (P = .038). Patients with high-RS (≥ 31) tumors (ie, high risk of recurrence) had a large benefit from chemotherapy (relative risk, 0.26; 95% CI, 0.13 to 0.53; absolute decrease in 10-year distant recurrence rate: mean, 27.6%; SE, 8.0%). Patients with low-RS (< 18) tumors derived minimal, if any, benefit from chemotherapy treatment (relative risk, 1.31; 95% CI, 0.46 to 3.78; absolute decrease in distant recurrence rate at 10 years: mean, −1.1%; SE, 2.2%). Patients with intermediate-RS tumors did not appear to have a large benefit, but the uncertainty in the estimate can not exclude a clinically important benefit. Conclusion The RS assay not only quantifies the likelihood of breast cancer recurrence in women with node-negative, estrogen receptor–positive breast cancer, but also predicts the magnitude of chemotherapy benefit.

Purpose We sought to identify gene expression markers that predict the likelihood of chemotherapy response. We also tested whether chemotherapy response is correlated with the 21-gene Recurrence Score assay that quantifies recurrence risk. Methods Patients with locally advanced breast cancer received neoadjuvant paclitaxel and doxorubicin. RNA was extracted from the pretreatment formalin-fixed paraffin-embedded core biopsies. The expression of 384 genes was quantified using reverse transcriptase polymerase chain reaction and correlated with pathologic complete response (pCR). The performance of genes predicting for pCR was tested in patients from an independent neoadjuvant study where gene expression was obtained using DNA microarrays. Results Of 89 assessable patients (mean age, 49.9 years; mean tumor size, 6.4 cm), 11 (12%) had a pCR. Eighty-six genes correlated with pCR (unadjusted P < .05); pCR was more likely with higher expression of proliferation-related genes and immune-related genes, and with lower expression of estrogen receptor (ER) –related genes. In 82 independent patients treated with neoadjuvant paclitaxel and doxorubicin, DNA microarray data were available for 79 of the 86 genes. In univariate analysis, 24 genes correlated with pCR with P < .05 (false discovery, four genes) and 32 genes showed correlation with P < .1 (false discovery, eight genes). The Recurrence Score was positively associated with the likelihood of pCR (P = .005), suggesting that the patients who are at greatest recurrence risk are more likely to have chemotherapy benefit. Conclusion Quantitative expression of ER-related genes, proliferation genes, and immune-related genes are strong predictors of pCR in women with locally advanced breast cancer receiving neoadjuvant anthracyclines and paclitaxel.

Purpose: To test the ability of a reverse transcriptase-PCR (RT-PCR) assay, based on gene expression profiles, to accurately determine the risk of recurrence in patients with node-negative breast cancer who did not receive systemic therapy using formalin-fixed, paraffin-embedded tissue. A secondary objective was to determine whether the quantitative RT-PCR data correlated with immunohistochemistry assay data regarding estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status. Patients and Methods: We obtained archival paraffin-embedded tissue from patients with invasive breast cancer but no axillary lymph node involvement who had received no adjuvant systemic therapy and been followed for at least 5 years. RNA was extracted from three 10-μm-thick sections. The expression of 16 cancer-related genes and 5 reference genes was quantified using RT-PCR. A gene expression algorithm was used to calculate a recurrence score for each patient. We then assessed the ability of the test to accurately predict distant recurrence-free survival in this population. Results: We identified 149 eligible patients. Median age at diagnosis was 59 years; mean tumor diameter was 2 cm; and 69% of tumors were estrogen receptor positive. Median follow-up was 18 years. The 5-year disease-free survival rate for the group was 80%. The 21 gene-based recurrence score was not predictive of distant disease recurrence. However, a high concordance between RT-PCR and immunohistochemical assays for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status was noted. Conclusions: RT-PCR can be done on paraffin-embedded tissue to validate the large numbers of genes associated with breast cancer recurrence. However, further work needs to be done to develop an assay to identify the likelihood of recurrent disease in patients with node-negative breast cancer who do not receive adjuvant tamoxifen or chemotherapy.

Throughout the last decade many laboratories have shown that mRNA levels in formalin-fixed and paraffin-embedded (FPE) tissue specimens can be quantified by reverse transcriptase-polymerase chain reaction (RT-PCR) techniques despite the extensive RNA fragmentation that occurs in tissues so preserved. We have developed RT-PCR methods that are sensitive, precise, and that have multianalyte capability for potential wide use in clinical research and diagnostic assays. Here it is shown that the extent of fragmentation of extracted FPE tissue RNA significantly increases with archive storage time. Probe and primer sets for RT-PCR assays based on amplicons that are both short and homogeneous in length enable effective reference gene-based data normalization for cross comparison of specimens that differ substantially in age. A 48-gene assay used to compare gene expression profiles from the same breast cancer tissue that had been either frozen or FPE showed very similar profiles after reference gene-based normalization. A 92-gene assay, using RNA extracted from three 10-μm FPE sections of archival breast cancer specimens (dating from 1985 to 2001) yielded analyzable data for these genes in all 62 tested specimens. The results were substantially concordant when estrogen receptor, progesterone receptor, and HER2 receptor status determined by RT-PCR was compared with immunohistochemistry assays for these receptors. Furthermore, the results highlight the advantages of RT-PCR over immunohistochemistry with respect to quantitation and dynamic range. These findings support the development of RT-PCR analysis of FPE tissue RNA as a platform for multianalyte clinical diagnostic tests.

The echinoderm microtubule-associated protein-like 4-anaplastic lymphoma kinase (EML4-ALK) gene fusion occurs in 2–7% of NSCLC cases[1,2] and is typically identified by Vysis ALK Break-Apart fluorescent in situ hybridization (FISH) assay. Tumors expressing this fusion respond to treatment crizotinib[1].

Background Patients with BRAF mutation-positive advanced melanoma respond well to matched therapy with BRAF or MEK inhibitors, but often quickly develop resistance. Methods Tumor tissue from ten patients with advanced BRAF mutation-positive melanoma who achieved partial response (PR) or complete response (CR) on BRAF and/or MEK inhibitors was analyzed using next generation sequencing (NGS) assay. Genomic libraries were captured for 3230 exons in 182 cancer-related genes plus 37 introns from 14 genes often rearranged in cancer and sequenced to average median depth of 734X with 99% of bases covered >100X. Results Three of the ten patients (median number of prior therapies = 2) attained prolonged CR (duration = 23.6+ to 28.7+ months); seven patients achieved either a PR or a short-lived CR. One patient who achieved CR ongoing at 28.7+ months and had tissue available close to the time of initiating BRAF inhibitor therapy had only a BRAF mutation. Abnormalities in addition to BRAF mutation found in other patients included: mutations in NRAS, APC and NF1; amplifications in BRAF, aurora kinase A, MYC, MITF and MET; deletions in CDKN2A/B and PAX5; and, alterations in RB1 and ATM. Heterogeneity between patients and molecular evolution within patients was noted. Conclusion NGS identified potentially actionable DNA alterations that could account for resistance in patients with BRAF mutation-positive advanced melanoma who achieved a PR or CR but whose tumors later progressed. A subset of patients with advanced melanoma may harbor only a BRAF mutation and achieve a durable CR on BRAF pathway inhibitors. Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1029-z) contains supplementary material, which is available to authorized users.

This work describes the in situ synthesis of oligonucleotide arrays on glass surfaces. These arrays are composed of features defined and separated by differential surface tension (surface tension arrays). Specifically, photolithographic methods were used to create a series of spatially addressable, circular features containing an amino-terminated organosilane coupled to the glass through a siloxane linkage. Each feature is bounded by a perfluorosilanated surface. The differences in surface energies between the features and surrounding zones allow for chemical reactions to be readily localized within a defined site. The aminosilanation process was analyzed using contact angle, X-ray photoelectron spectroscopy (XPS), and time-of-flight/secondary ion mass spectroscopy (TOF-SIMS). The efficiency of phosphoramidite-based oligonucleotide synthesis on these surface tension arrays was measured by two methods. One method, termed step-yields-by-hybridization, indicates an average synthesis efficiency for all four (A,G,C,T) bases of 99.9 +/- 1.1%. Step yields measured for the individual amidite bases showed efficiencies of 98.8% (dT), 98.0% (dA), 97.0% (dC), and 97.6% (dG). The second method for determining the amidite coupling efficiencies was by capillary electrophoresis (CE) analysis. Homopolymers of dT (40- and 60mer), dA (40mer), and dC (40mer) were synthesized on an NH(4)OH labile linkage. After cleavage, the products were analyzed by CE. Synthesis efficiencies were calculated by comparison of the full-length product peak with the failure peaks. The calculated coupling efficiencies were 98.8% (dT), 96.8% (dA), and 96.7% (dC).

The goal of genetic analysis is to discover genetic markers that are informative for providing high confidence, positive predictive value in managing phenotypic outcomes. Primary consensus sequence data, genetic polymorphism databases and associated phenotype data are rapidly making genetic analysis more useful. Therefore, genetic analysis applications are gradually becoming more mainstream. The diversity and complexity of genetic analysis currently requires an array of analytical techniques, instrument platforms and software to support all the steps from data acquisition to interpretation. As supporting research technologies mature, they are incorporating increasing levels of automation, system integration and miniaturization. Microfluidic arrays are positioned to play a key role in routine genetic analysis, particularly as they begin to appear in more fully integrated analytical platforms.

Genomic analysis and drug discovery depend increasingly on rapid, accurate analysis of large sets of sample and extensive compound collections at relatively low cost. By capitalizing on advances in microfabrication, genomics, combinatorial chemistry, and assay technologies, new analytical systems are expected to provide order-of-magnitude increases in analysis throughput along with comparable decreases in per-sample analysis costs. ACLARA’s single-use, plastic LabCard systems, which transport fluids between reservoirs and through interconnected microchannels using electrokinetic mechanisms, are intended to address these analytical needs. These devices take advantage of recent developments in microfluidic and microfabrication technologies to permit their application to DNA sequencing; genotyping and DNA fragment analysis, as well as pharmaceutical candidate screening, and preparing biological samples for analysis. In a parallel effort, ACLARA has developed a new class of reporter molecules that are particularly well suited to capillary electrophoretic analysis. These electrophoretic mobility tags, called eTag reporters, can be used to uniquely label multiplexed sets of oligonucleotide recognition probes or proteins, thereby permitting traditionally homogeneous biochemical reporter assays to be multiplexed for CE analysis. Biochemical multiplexing is key to achieving new thresholds in analytical throughput while maintaining economically viable formats in many application areas. ACLARA’s microfluidic, lab-on-a-chip concept promises to revolutionize chemical analysis, similar to the way miniaturization revolutionized computing, making tools continually smaller, more integrated, less expensive, and higher performing. Microfluidic devices are made up of interconnected networks of microchannels and tiny volume reservoirs in which all the processes required for single analyses may be miniaturized, integrated, and automated within a single substrate the size of a human hand or smaller. However, LabCard devices are more than tiny replicates of existing equipment. They are characterized by high speed, parallel analysis using designs devised to eliminate sample cross contamination while automating processes that are otherwise undesirably cumbersome at the macro laboratory scale. Electrophoresis is one of the most widely used analytical separation methodologies for life science research. Electrophoresis refers to the movement of a charged molecule under the influence of an electric field. Electrophoresis can be used to separate molecules that have different charge-to-mass ratios such as proteins; or, molecules that have similar charge-to-mass ratios but different masses such as DNA fragments. In recent years, the development of capillary electrophoresis (CE), which is performed in a fused silica capillary filled with a buffer or polymer solution, has increased the speed of analytical separations. Planar, microchannel devices offer further improvements over capillary electrophoresis. In general, both electrophoresis and electroosmosis occur when a high electric field is applied along a microchannel (Figure 1). In practice, these effects can be comparable in magnitude, in which case ions of one charge move rapidlyat velocities of millimeters per second-while those of opposite charge move backward or slowly forward, depending upon which of the two effects dominates. The amount of fixed charge on the inner surface of a channel can be controlled by pH, specific adsorption of charged species onto the surface, or surface chemical modification. Therefore, the contribution of electroosmosis (the pumping mechanism) can be tuned relative to electrophoresis (the separating mechanism). The capability to transport and separate exceptionally small liquid volumes with precise electrical control is a powerful tool, which is complemented by an additional benefit of using microchannels with micrometer cross-sections. While electrophoresis channels are of similar cross section in both capillaries and microchannel devices, the planar format of the microchannel devices enables structures more complex than a single, non-intersecting channel to be used. Two or more channels can intersect to

Spitzoid neoplasms are a group of melanocytic tumours with distinctive histopathological features. They include benign tumours (Spitz naevi), malignant tumours (spitzoid melanomas) and tumours with borderline histopathological features and uncertain clinical outcome (atypical Spitz tumours). Their genetic underpinnings are poorly understood, and alterations in common melanoma-associated oncogenes are typically absent. Here we show that spitzoid neoplasms harbour kinase fusions of ROS1 (17%), NTRK1 (16%), ALK (10%), BRAF (5%) and RET (3%) in a mutually exclusive pattern. The chimeric proteins are constitutively active, stimulate oncogenic signalling pathways, are tumourigenic and are found in the entire biologic spectrum of spitzoid neoplasms, including 55% of Spitz naevi, 56% of atypical Spitz tumours and 39% of spitzoid melanomas. Kinase inhibitors suppress the oncogenic signalling of the fusion proteins in vitro. In summary, kinase fusions account for the majority of oncogenic aberrations in spitzoid neoplasms and may serve as therapeutic targets for metastatic spitzoid melanomas. Spitzoid neoplasms constitute a spectrum of melanocytic tumours, characterized by distinct clinical, pathological and genetic features. Here, Wiesner et al. show that kinase fusions represent the majority of oncogenic aberrations in spitzoid neoplasms and may serve as therapeutic targets for metastatic spitzoid melanoma.

As more clinically relevant cancer genes are identified, comprehensive diagnostic approaches are needed to match patients to therapies, raising the challenge of optimization and analytical validation of assays that interrogate millions of bases of cancer genomes altered by multiple mechanisms. Here we describe a test based on massively parallel DNA sequencing to characterize base substitutions, short insertions and deletions (indels), copy number alterations and selected fusions across 287 cancer-related genes from routine formalin-fixed and paraffin-embedded (FFPE) clinical specimens. We implemented a practical validation strategy with reference samples of pooled cell lines that model key determinants of accuracy, including mutant allele frequency, indel length and amplitude of copy change. Test sensitivity achieved was 95-99% across alteration types, with high specificity (positive predictive value >99%). We confirmed accuracy using 249 FFPE cancer specimens characterized by established assays. Application of the test to 2,221 clinical cases revealed clinically actionable alterations in 76% of tumors, three times the number of actionable alterations detected by current diagnostic tests.

Purpose Characterization of the genomic changes that drive an individual patient's disease is critical in management of many cancers. In patients with non–small-cell lung cancer (NSCLC), obtaining tumor samples of sufficient size for genomic profiling on recurrence is often challenging. We undertook this study to compare genomic alterations identified in archived primary tumors from patients with NSCLC with those identified in metachronous or synchronous metastases. Patients and Methods Primary and matched metastatic tumor pairs from 15 patients were analyzed by using a targeted next-generation sequencing assay in a Clinical Laboratory Improvement Amendments laboratory. Genomic libraries were captured for 3,230 exons in 182 cancer-related genes plus 37 introns from 14 genes often rearranged in cancer and sequenced to high coverage. Results Among 30 tumors, 311 genomic alterations were identified of which 63 were known recurrent (32 in primary tumor, 31 in metastasis) and 248 were nonrecurrent (likely passenger). TP53 mutations were the most frequently observed recurrent alterations (12 patients). Tumors harbored two or more (maximum four) recurrent alterations in 10 patients. Comparative analysis of recurrent alterations between primary tumor and matched metastasis revealed a concordance rate of 94% compared with 63% for likely passenger alterations. Conclusion This high concordance suggests that for the purposes of genomic profiling, use of archived primary tumor can identify the key recurrent somatic alterations present in matched NSCLC metastases and may provide much of the relevant genomic information required to guide treatment on recurrence.

We have combined photochemistry and photolithography with solid-phase DNA synthesis chemistry to form a new technology that makes high density oligonucleotide probe array synthesis possible. Hybridization to these two-dimensional arrays containing hundreds or thousands of oligonucleotide probes provides a powerful DNA sequence analysis tool. Two types of light-generated DNA probe arrays have been used to test for a variety of mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. One array, made up of 428 probes, was designed to scan through the length of CFTR exon 11 and identify differences from the wild type reference sequence. The second type of array contained 1480 probes chosen to detect known deletions, insertions, or base substitution mutations. The validity of the probe arrays was established by hybridizing them with fluorescently labeled control oligonucleotide targets. Characterized mutant CFTR genomic DNA samples were then used to further test probe array hybridization specificity. Finally, ten unknown patient samples were genotyped using the CFTR probe array assay. The genotype assignments were identical to those obtained by PCR product restriction fragment analysis. Our results show that light-generated DNA probe arrays are highly effective in analyzing complex mutation and polymorphism patterns in a relatively large gene such as CFTR.

Applying a next-generation sequencing assay targeting 145 cancer-relevant genes in 40 colorectal cancer and 24 non–small cell lung cancer formalin-fixed paraffin-embedded tissue specimens identified at least one clinically relevant genomic alteration in 59% of the samples and revealed two gene fusions, C2orf44-ALK in a colorectal cancer sample and KIF5B-RET in a lung adenocarcinoma. Further screening of 561 lung adenocarcinomas identified 11 additional tumors with KIF5B-RET gene fusions (2.0%; 95% CI 0.8–3.1%). Cells expressing oncogenic KIF5B-RET are sensitive to multi-kinase inhibitors that inhibit RET.

Traditional approaches to sequence analysis are widely used to guide therapy for patients with lung and colorectal cancer and for patients with melanoma, sarcomas (eg, gastrointestinal stromal tumor), and subtypes of leukemia and lymphoma. The next-generation sequencing (NGS) approach holds a number of potential advantages over traditional methods, including the ability to fully sequence large numbers of genes (hundreds to thousands) in a single test and simultaneously detect deletions, insertions, copy number alterations, translocations, and exome-wide base substitutions (including known “hot-spot mutations”) in all known cancer-related genes. Adoption of clinical NGS testing will place significant demands on laboratory infrastructure and will require extensive computational expertise and a deep knowledge of cancer medicine and biology to generate truly useful “clinically actionable” reports. It is anticipated that continuing advances in NGS technology will lower the overall cost, speed the turnaround time, increase the breadth of genome sequencing, detect epigenetic markers and other important genomic parameters, and become applicable to smaller and smaller specimens, including circulating tumor cells and circulating free DNA in plasma.

Although RNA is isolated from archival fixed tissues routinely for reverse transcription polymerase chain reaction (RT-PCR) and microarray analyses to identify biomarkers of cancer prognosis and therapeutic response prediction, the sensitivity of these molecular profiling methods to variability in pathology tissue processing has not been described in depth. As increasing numbers of expression analysis studies using fixed archival tumor specimens are reported, it is important to examine how dependent these results are on tissue-processing methods.We carried out a series of studies to systematically evaluate the effects of various tissue-fixation reagents and protocols on RNA quality and RT-PCR gene expression profiles. Human placenta was selected as a model specimen for these studies since it is relatively easily obtained and has proliferative and invasive qualities similar to solid tumors. In addition, each specimen is relatively homogeneous and large enough to provide sufficient tissue to systematically compare a range of fixation conditions and reagents, thereby avoiding the variability inherent in studying collections of tumor tissue specimens. Since anatomical pathology laboratories generally offer hundreds of different tissue-fixation protocols, we focused on fixation reagents and conditions used to process the most common solid tumors for primary cancer diagnosis. Fresh placentas donated under an IRB-approved protocol were collected at delivery and immediately submerged in cold saline for transport to a central pathology laboratory for processing. RNA was extracted from each specimen, quantified, and analyzed for size distribution and analytical performance using a panel of 24 RT-PCR gene expression assays. We found that different tissue-fixation reagents and tissue-processing conditions resulted in widely varying RNA extraction yields and extents of RNA fragmentation. However, the RNA extraction method and RT-PCR assays could be optimized to achieve successful gene expression analysis for nearly all fixation conditions represented in these studies.

A molecular test providing clear identification of individuals at highest risk for developing metastatic disease from among early stage breast cancer patients has proven to be of great benefit in breast cancer treatment planning and therapeutic management. Patients with high risk of disease recurrence can also get an estimate of the magnitude of benefit to be gained by adding chemotherapy to surgery and hormonal therapy. Developing this clinical test was made possible by the availability of technologies capable of identifying molecular biomarkers from the gene expression profiles of preserved surgical specimens. Molecular tests such as the Oncotype DX(®) breast cancer test are proving to be more effective tools for individualized patient stratification and treatment planning than traditional methods such as patient demographic variables and histopathology indicators.Molecular biomarkers must be clinically validated before they can be effectively applied toward patient management in clinical practice. The most effective and efficient means of clinical validation is to use archived surgical specimens annotated with well-characterized clinical outcomes. However, carrying out this type of clinical study requires optimization of traditional molecular expression profiling techniques to analyze RNA from fixed, paraffin-embedded (FPE) tissues. In order to develop our clinically validated breast cancer assay, we modified molecular methods for RNA extraction, RNA quantitation, reverse transcription, and quantitative PCR to work optimally in archived clinical samples. Here, we present an updated description of current best practices for isolating both mRNA and microRNA from FPE tissues for RT-PCR-based expression profiling.

A molecular test providing clear identification of individuals at highest risk for developing metastatic disease from among early stage breast cancer patients has proven to be of great benefit in breast cancer treatment planning and therapeutic management. Patients with high risk of disease recurrence can also get an estimate of the magnitude of benefit to be gained by adding chemotherapy to surgery and hormonal therapy. Developing this clinical test was made possible by the availability of technologies capable of identifying molecular biomarkers from the gene expression profiles of preserved surgical specimens. Molecular tests such as the Oncotype DX(®) breast cancer test are proving to be more effective tools for individualized patient stratification and treatment planning than traditional methods such as patient demographic variables and histopathology indicators.Molecular biomarkers must be clinically validated before they can be effectively applied toward patient management in clinical practice. The most effective and efficient means of clinical validation is to use archived surgical specimens annotated with well-characterized clinical outcomes. However, carrying out this type of clinical study requires optimization of traditional molecular expression profiling techniques to analyze RNA from fixed, paraffin-embedded (FPE) tissues. In order to develop our clinically validated breast cancer assay, we modified molecular methods for RNA extraction, RNA quantitation, reverse transcription, and quantitative PCR to work optimally in archived clinical samples. Here, we present an updated description of current best practices for isolating both mRNA and microRNA from FPE tissues for RT-PCR-based expression profiling.

Although RNA is isolated from archival fixed tissues routinely for reverse transcription polymerase chain reaction (RT-PCR) and microarray analyses to identify biomarkers of cancer prognosis and therapeutic response prediction, the sensitivity of these molecular profiling methods to variability in pathology tissue processing has not been described in depth. As increasing numbers of expression analysis studies using fixed archival tumor specimens are reported, it is important to examine how dependent these results are on tissue-processing methods.We carried out a series of studies to systematically evaluate the effects of various tissue-fixation reagents and protocols on RNA quality and RT-PCR gene expression profiles. Human placenta was selected as a model specimen for these studies since it is relatively easily obtained and has proliferative and invasive qualities similar to solid tumors. In addition, each specimen is relatively homogeneous and large enough to provide sufficient tissue to systematically compare a range of fixation conditions and reagents, thereby avoiding the variability inherent in studying collections of tumor tissue specimens. Since anatomical pathology laboratories generally offer hundreds of different tissue-fixation protocols, we focused on fixation reagents and conditions used to process the most common solid tumors for primary cancer diagnosis. Fresh placentas donated under an IRB-approved protocol were collected at delivery and immediately submerged in cold saline for transport to a central pathology laboratory for processing. RNA was extracted from each specimen, quantified, and analyzed for size distribution and analytical performance using a panel of 24 RT-PCR gene expression assays. We found that different tissue-fixation reagents and tissue-processing conditions resulted in widely varying RNA extraction yields and extents of RNA fragmentation. However, the RNA extraction method and RT-PCR assays could be optimized to achieve successful gene expression analysis for nearly all fixation conditions represented in these studies.

Clear identification among early-stage cancer patients of those at highest risk of having metastatic disease would be of great benefit in treatment planning and management. Considerable additional benefit would accrue to high-risk patients if their responses to specific therapeutic alternatives could be predicted. Molecular biomarkers in the form of gene expression profiles are proving to be more effective tools for both prognostic and predictive patient stratification than more traditional methods such as patient demographics and histopathology indicators. Such biomarkers must be clinically validated before they can be effectively used to manage patients in clinical studies or clinical practice. This can be most efficiently accomplished by analyzing archived clinical samples with well-characterized clinical outcomes. Doing studies of this type requires reoptimization of traditional molecular expression profiling techniques to analyze RNA from fixed paraffin-embedded tissues. We have modified molecular methods for RNA extraction, RNA quantification, reverse transcription, and quantitative PCR to work optimally in archived clinical samples in order to develop a clinically validated assay for breast cancer prognosis and prediction of patient response to hormonal and chemotherapy.

Clear identification among early-stage cancer patients of those at highest risk of having metastatic disease would be of great benefit in treatment planning and management. Considerable additional benefit would accrue to high-risk patients if their responses to specific therapeutic alternatives could be predicted. Molecular biomarkers in the form of gene expression profiles are proving to be more effective tools for both prognostic and predictive patient stratification than more traditional methods such as patient demographics and histopathology indicators. Such biomarkers must be clinically validated before they can be effectively used to manage patients in clinical studies or clinical practice. This can be most efficiently accomplished by analyzing archived clinical samples with well-characterized clinical outcomes. Doing studies of this type requires reoptimization of traditional molecular expression profiling techniques to analyze RNA from fixed paraffin-embedded tissues. We have modified molecular methods for RNA extraction, RNA quantification, reverse transcription, and quantitative PCR to work optimally in archived clinical samples in order to develop a clinically validated assay for breast cancer prognosis and prediction of patient response to hormonal and chemotherapy.

Background: Oncotype DX™ is a clinically validated, high-complexity, multianalyte reverse transcription–PCR genomic test that predicts the likelihood of breast cancer recurrence in early-stage, node-negative, estrogen receptor–positive breast cancer. The Recurrence Score™ (RS) provides a more accurate, reproducible measure of breast cancer aggressiveness and therapeutic responsiveness than standard measures. Individualized patient management requires strict performance criteria for clinical laboratory tests. We therefore investigated the analytical performance of the assay. Methods: Assays used a pooled RNA sample from fixed paraffin-embedded tissues to evaluate the analytical performance of a 21-gene panel with respect to amplification efficiency, precision, linearity, and dynamic range, as well as limits of detection and quantification. Performance variables were estimated from assays carried out with sample dilutions. In addition, individual patient samples were used to test the optimized assay for reproducibility and sources of imprecision. Results: Assay results defined acceptable operational performance ranges, including an estimated maximum deviation from linearity of Conclusion: The analytical and operational performance specifications defined for the Oncotype DX assay allow the reporting of quantitative RS values for individual patients with an SD within 2 RS units on a 100-unit scale.

Purpose: This study, along with two others, was done to develop the 21-gene Recurrence Score assay (Oncotype DX) that was validated in a subsequent independent study and is used to aid decision making about chemotherapy in estrogen receptor (ER)–positive, node-negative breast cancer patients. Experimental Design: Patients with ≥10 nodes diagnosed from 1979 to 1999 were identified. RNA was extracted from paraffin blocks, and expression of 203 candidate genes was quantified using reverse transcription-PCR (RT-PCR). Results: Seventy-eight patients were studied. As of August 2002, 77% of patients had distant recurrence or breast cancer death. Univariate Cox analysis of clinical and immunohistochemistry variables indicated that HER2/immunohistochemistry, number of involved nodes, progesterone receptor (PR)/immunohistochemistry (% cells), and ER/immunohistochemistry (% cells) were significantly associated with distant recurrence-free survival (DRFS). Univariate Cox analysis identified 22 genes associated with DRFS. Higher expression correlated with shorter DRFS for the HER2 adaptor GRB7 and the macrophage marker CD68. Higher expression correlated with longer DRFS for tumor protein p53-binding protein 2 (TP53BP2) and the ER axis genes PR and Bcl2. Multivariate methods, including stepwise variable selection and bootstrap resampling of the Cox proportional hazards regression model, identified several genes, including TP53BP2 and Bcl2, as significant predictors of DRFS. Conclusion: Tumor gene expression profiles of archival tissues, some more than 20 years old, provide significant information about risk of distant recurrence even among patients with 10 or more nodes.

background The likelihood of distant recurrence in patients with breast cancer who have no involved lymph nodes and estrogen-receptor–positive tumors is poorly defined by clinical and histopathological measures. methods We tested whether the results of a reverse-transcriptase–polymerase-chain-reaction (RT-PCR) assay of 21 prospectively selected genes in paraffin-embedded tumor tissue would correlate with the likelihood of distant recurrence in patients with node-negative, tamoxifen-treated breast cancer who were enrolled in the National Surgical Adjuvant Breast and Bowel Project clinical trial B-14. The levels of expression of 16 cancerrelated genes and 5 reference genes were used in a prospectively defined algorithm to calculate a recurrence score and to determine a risk group (low, intermediate, or high) for each patient. results Adequate RT-PCR profiles were obtained in 668 of 675 tumor blocks. The proportions of patients categorized as having a low, intermediate, or high risk by the RT-PCR assay were 51, 22, and 27 percent, respectively. The Kaplan–Meier estimates of the rates of distant recurrence at 10 years in the low-risk, intermediate-risk, and high-risk groups were 6.8 percent (95 percent confidence interval, 4.0 to 9.6), 14.3 percent (95 percent confidence interval, 8.3 to 20.3), and 30.5 percent (95 percent confidence interval, 23.6 to 37.4). The rate in the low-risk group was significantly lower than that in the high-risk group (P

9002 Background: Spitz tumors are melanocytic neoplasms with characteristic morphologic features that can overlap with melanoma. Predicting biologic behavior, which can range from an indolent disease to metastasis confined to regional lymph nodes and infrequent incidences of widespread metastatic disease with lethal outcome, is unreliable based on histopathological criteria and the genetic underpinnings of the disease as a whole are poorly understood. Methods: Genomic DNA and total RNA was isolated from 40 microns of FFPE sections from 20 benign Spitz nevi and 8 atypical Spitz tumors (with morphological features inconsistent with HRAS or BRAF/BAP1 mutations) in a CLIA-certified lab (Foundation Medicine). DNA sequencing was performed for 3230 exons of 182 cancer-related genes plus 37 introns of 14 genes commonly fused on indexed hybridization-captured libraries to an average unique coverage of 997x, with 99.96% of exons being sequenced at ≥100x coverage. RNA sequencing was performed on indexed libraries captured using the cDNA Kinome hybridization kit (Agilent) generating >50,000,000 unique pairs per specimen. Results: Only a single case harbored a point mutation in a gene known to be recurrently mutated in melanocytic neoplasms, HRAS Q61L and no known alterations were found in BRAF, NRAS, KIT, GNAQ or GNA11. Remarkably, genomic rearrangements were observed in 19/28 (68%) of cases. The rearrangements fused the intact kinase domains of ROS1 (36%), ALK (14%), RET (7%), NTRK1 (7%) and BRAF (4%) to a wide range of predominantly novel 5’ partners including PWWP2A, PPFIBP1, ERC1, MYO5A, CLIP1, HLA-A, ZCCHC8, DCNT1, LMNA and CEP89. These gene rearrangements, which were all expressed, formed constitutively activated chimeric oncogenes. All fusions occurred in a mutually exclusive pattern and were more common in younger patients compared to patients whose tumors did not harbor fusions (median age 14 versus 24 years, p=0.02). Conclusions: Next generation sequencing identified gene fusions in two thirds of Spitz tumors which are likely to be useful as diagnostic markers that may also serve as therapeutic targets for the rare subset of these tumors that metastasize.

BACKGROUND: Human papillomavirus positive (HPV+) head and neck squamous cell carcinoma (HNSCC) is an emerging disease, representing a distinct clinical and epidemiological entity. Understanding the genetic basis of this specific subtype of cancer could allow therapeutic targeting of affected pathways for a stratified medicine approach. METHODS: Twenty HPV+ and 20 HPV- laser-capture microdissected oropharyngeal carcinomas were used for paired-end sequencing of hybrid-captured DNA, targeting 3,230 exons in 182 genes often mutated in cancer. Copy number alteration (CNA) profiling, Sequenom MassArray sequencing and immunohistochemistry were used to further validate findings. RESULTS: HPV+ and HPV- oropharyngeal carcinomas cluster into two distinct subgroups. TP53 mutations are detected in 100% of HPV negative cases and abrogation of the G1/S checkpoint by CDKN2A/B deletion and/or CCND1 amplification occurs in the majority of HPV- tumors. CONCLUSION: These findings strongly support a causal role for HPV, acting via p53 and RB pathway inhibition, in the pathogenesis of a subset of oropharyngeal cancers and suggest that studies of CDK inhibitors in HPV negative disease may be warranted. Mutation and copy number alteration of PI3 kinase (PI3K) pathway components appears particularly prevalent in HPV+ tumors and assessment of these alterations may aid in the interpretation of current clinical trials of PI3K, AKT and mTOR inhibitors in HNSCC.

Background: As the number of clinically relevant cancer genes grows and the amount of tissue available for analysis decreases, next-generation sequencing (NGS) becomes increasingly attractive as a diagnostic tool, as it can detect all classes of genomic alterations in all cancer genes in a single test. However, for NGS to demonstrate its full utility in the clinic, robust analytical validation approaches and performance benchmarks against gold standard methodologies are required. Methods: We have developed a comprehensive NGS-based diagnostic test to enable accurate detection of clinically-relevant genomic alterations across 4604 exons of 289 cancer genes (∼1.5 Mb) in routine FFPE specimens, including needle biopsies. To validate the test, we created synthetic reference standards spanning key determinants of detection accuracy for somatic alterations, such as a range of stromal admixture, indel length, and amplitude of copy change: For base substitutions, we mixed 2 pools of 10 normal cell-lines, thereby testing 1035 different variants in a broad 10%-100% allele frequency range. For indels, 28 tumor cell lines with 44 alterations (1-40bp) were mixed into 41 variably sized pools, creating a validation set of 163 events. For copy alterations, 7 matched tumor/normal cell-lines bearing a total of 12 amplifications (copy number 8-15) and 7 homozygous deletions were mixed in 5 tumor content ratios 20%-75%. The test was applied blinded to all pools and alteration calls compared to expectation based on constituents in each mix. We then verified that observed performance translated to FFPE by examining test concordance on 185 tumors characterized clinically for mutations in 8 genes including KRAS, BRAF, and EGFR (Sanger, Sequenom, and PCR) and 131 specimens characterized for CNAs in ERBB2, PTEN, AR and CCND1 (IHC and FISH). Results: On synthetic standards, performance reached >99% sensitivity for substitutions (1,035/1,035) and >98% for indels (161/163) at ≥10% allele-frequency with PPV>99%. Sensitivity for CNAs was >95% for focal amplifications (46/48) and >99% for homozygous deletions (28/28) at ≥30% tumor fraction, with PPV>99%. Robust performance translated to FFPE: concordance was 98% for both substitutions and indels (164/168) and CNAs (41/42) relative to prior calls. Conclusions: We present a rigorous validation approach and performance benchmarks for a comprehensive NGS-based test for use in clinical oncology. Given the ability of NGS to detect a much broader range of genomic alterations than currently available technologies, particularly on limited tissue, we suggest that this type of testing can be a direct component of patient care and potentially expand targeted treatment options. Citation Format: Roman Yelensky, Garrett M. Frampton, Alex Fichtenholtz, Sean Downing, Jie He, Frank Juhn, Kristina Brennan, Kai Wang, Geoff Otto, Mirna Jarosz, Alex Parker, Jeffrey S. Ross, John Curran, Maureen T. Cronin, Philip J. Stephens, Doron Lipson. Bringing next generation sequencing (NGS) to the clinic: Analytical validation of a comprehensive NGS-based cancer gene test. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2279. doi:10.1158/1538-7445.AM2013-2279

Background Combining aromatase inhibitors with PI3K/AKT/mTOR inhibitors is synergistic and may overcome hormone resistance. Patients and Methods We evaluated anastrozole and everolimus in patients with metastatic estrogen receptor (ER) and/or progesterone receptor (PR)-positive breast and gynecologic tumors. Endpoints were safety, antitumor activity and molecular correlates. Results Fifty-five patients were enrolled. Full doses of anastrozole (1 mg PO daily) and everolimus (10 mg PO daily) were well tolerated. Fifty patients were evaluable for response with a median age of 57 (range: 24-82) and a median number of prior therapies of 3 (range: 0-13). Twelve of 50 patients (24%) achieved stable disease (SD) ≥ 6 months/partial response (PR)/complete response (CR), including 9 of 32 patients (28%) with breast cancer, 2 of 9 patients (22%) with ovarian cancer and 1 of 6 patients (17%) with uterine cancer. Six of 8 patients (75%) with SD ≥ 6 months/PR/CR with molecular testing demonstrated at least one alteration in the PI3K/AKT/mTOR pathway including mutations in PIK3CA (n=3) and AKT1 (n=1) or PTEN loss (n=3). All 3 patients who had next generation sequencing demonstrated additional alterations: amplifications in CCNE1, IRS2, MCL1, CCND1, FGFR1 and MYC and a rearrangement in PRKDC. Six of 22 patients (27%) with molecular alterations in the PI3K/AKT/mTOR pathway achieved SD ≥ 6 months/PR/CR. Conclusion Combination anastrozole and everolimus is well tolerated at full approved doses and active in heavily pretreated patients with ER and/or PR-positive breast, ovarian and endometrial cancers. Patients with SD ≥ 6 months/PR/CR frequently had alterations in the PI3K/AKT/mTOR pathway. Citation Format: Jennifer J. Wheler, Stacey L. Moulder, Aung Naing, Filip Janku, Sarina A. Piha-Paul, Gerald S. Falchook, Ralph Zinner, Apostolia M. Tsimberidou, Siqing Fu, David S. Hong, Johnique T. Atkins, Maureen Cronin, Roman Yelensky, Phil Stephens. A dose-escalation study of anastrozole and everolimus in patients with advanced gynecologic and breast malignancies: tolerance, biological activity, and molecular alterations in the PI3K/AKT/mTOR pathway. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3514. doi:10.1158/1538-7445.AM2013-3514