Abstract

Abstract Background: Triple negative breast cancer (TNBC) is known for its aggressive behavior, poor prognosis and still remains as a difficult disease since treatment options are limited. Despite some success in PARP inhibition in BRCA gene mutation patients or platinating agents that may offer superior outcomes in a subset of TNBC patients (pts), currently, there are no targeted therapies for TNBC available. Specific biomarkers are urgently needed for developing effective treatments to predict which patients will respond to the given therapy. In this regard, circulating tumor cells (CTCs) are discussed to be an ideal surrogate marker for individualized treatment options. Since TNBC is closely related to epithelial-mesenchymal transition (EMT), a stem cell phenotype and, in addition, androgen receptor (AR) expression has been detected in up to a third of TNBC pts, we here established a multi-marker gene panel for the characterization of CTCs in TNBC pts and compared these findings with CTC characteristics in non-TNBC pts. Methods: 2x5 ml blood of 30 TNBC pts before and/or after neoadjuvant therapy and 30 non- TNBC pts (E+/PR+: n=23; ER+/PR-: n=4; HER2+: n=1; HER2+/ER+: n=1; HER2+/ER+/PR+: n=1) before therapy were analyzed for CTCs applying positive immunomagnetic selection targeting EpCAM, EGFR and HER2 using the AdnaTest EMT-2/Stem Cell Select (QIAGEN Hannover GmbH, Germany). Subsequently, cDNA was gene specifically pre-amplified using TaqMan PreAmp Master Mix according to in house designed assays. Establishment of a 19 gene qPCR panel was performed for the markers PI3K, AKT2, ERCC1, Aurka, HER2, HER3, EGFR, ALK, AR (androgene receptor), BRCA1, c-KIT, c-MET, KRT5, mTOR, NOTCH1, PARP1, SRC1, CD45 (leucocyte control) and GAPDH (housekeeping gene) as well as an internal reference. The cutoff was calculated, taken the false positive rate in healthy donors into account and defined as Ct(cutoff)-Ct(sample)-[Ct(CD45cutoff)-Ct(CD45sample)]. Results: In general, the distribution of the markers across all patients was highly variable. However, different expression patterns were found when CTCs of TNBC pts were compared with those of non-TNBC pts. In TNBC pts, SRC1 was the gene that was predominantly expressed, followed by c-Kit, HER3, BRCA1 and AURKA expression, before as well as after therapy. Interestingly, AKT2, EGFR, ERCC1 and PARP1 expression could not be detected at any time point studied. In addition, ALK, AR, c-Met, HER2 and KRT5 were only detected before but not after therapy. All other genes were expressed below 15%. In contrast, in non-TNBC pts, AKT2 was the gene that was predominantly expressed, followed by c-MET, HER3 and PI3K whereas c-KIT, ERCC1, mTOR and NOTCH1 were never found. All other genes were expressed below 10%. Conclusion: We successfully established a gene panel for the detection of the heterogeneous CTC population and demonstrated that CTCs in TNBC pts and non-TNBC pts show different genetic profiles. Although these data have to be confirmed in a bigger patient cohort, the knowledge about the individual target gene expression profile might efficiently help to predict a personalized targeted therapy for these pts in the future. Citation Format: Bittner A-K, Hoffmann O, Hauch S, Kimmig R, Kasimir-Bauer S. Circulating tumor cells in triple-negative and non-triple negative breast cancer patients show different genetic profiles. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P2-02-05.

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