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Erschienen in: Annals of Surgical Oncology 8/2018

04.06.2018 | Breast Oncology

RNA-Seq of Circulating Tumor Cells in Stage II–III Breast Cancer

verfasst von: Julie E. Lang, MD, Alexander Ring, MD, PhD, Tania Porras, MS, Pushpinder Kaur, PhD, Victoria A. Forte, MD, Neal Mineyev, MD, Debu Tripathy, MD, Michael F. Press, MD, PhD, Daniel Campo, PhD

Erschienen in: Annals of Surgical Oncology | Ausgabe 8/2018

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Abstract

Background

We characterized the whole transcriptome of circulating tumor cells (CTCs) in stage II–III breast cancer to evaluate correlations with primary tumor biology.

Methods

CTCs were isolated from peripheral blood (PB) via immunomagnetic enrichment followed by fluorescence-activated cell sorting (IE/FACS). CTCs, PB, and fresh tumors were profiled using RNA-seq. Formalin-fixed, paraffin-embedded (FFPE) tumors were subjected to RNA-seq and NanoString PAM50 assays with risk of recurrence (ROR) scores.

Results

CTCs were detected in 29/33 (88%) patients. We selected 21 cases to attempt RNA-seq (median number of CTCs = 9). Sixteen CTC samples yielded results that passed quality-control metrics, and these samples had a median of 4,311,255 uniquely mapped reads (less than PB or tumors). Intrinsic subtype predicted by comparing estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) versus PAM50 for FFPE tumors was 85% concordant. However, CTC RNA-seq subtype assessed by the PAM50 classification genes was highly discordant, both with the subtype predicted by ER/PR/HER2 and by PAM50 tumors. Two patients died of metastatic disease, both of whom had high ROR scores and high CTC counts. We identified significant genes, canonical pathways, upstream regulators, and molecular interaction networks comparing CTCs by various clinical factors. We also identified a 75-gene signature with highest expression in CTCs and tumors taken together that was prognostic in The Cancer Genome Atlas and Molecular Taxonomy of Breast Cancer International Consortium datasets.

Conclusion

It is feasible to use RNA-seq of CTCs in non-metastatic patients to discover novel tumor biology characteristics.
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Literatur
1.
2.
Zurück zum Zitat Cristofanilli M, Budd GT, Ellis MJ, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004;351(8):781–791.CrossRefPubMed Cristofanilli M, Budd GT, Ellis MJ, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004;351(8):781–791.CrossRefPubMed
3.
Zurück zum Zitat Lucci A, Hall CS, Lodhi AK, et al. Circulating tumour cells in non-metastatic breast cancer: a prospective study. Lancet Oncol. 2012;13(7):688–695.CrossRefPubMed Lucci A, Hall CS, Lodhi AK, et al. Circulating tumour cells in non-metastatic breast cancer: a prospective study. Lancet Oncol. 2012;13(7):688–695.CrossRefPubMed
4.
Zurück zum Zitat Rack B, Schindlbeck C, Juckstock J, et al. Circulating tumor cells predict survival in early average-to-high risk breast cancer patients. J Natl Cancer Inst. 2014;106(5): pii: dju066. Rack B, Schindlbeck C, Juckstock J, et al. Circulating tumor cells predict survival in early average-to-high risk breast cancer patients. J Natl Cancer Inst. 2014;106(5): pii: dju066.
5.
Zurück zum Zitat Zhang L, Riethdorf S, Wu G, et al. Meta-analysis of the prognostic value of circulating tumor cells in breast cancer. Clin Cancer Res. 2012;18(20):5701–5710.CrossRefPubMed Zhang L, Riethdorf S, Wu G, et al. Meta-analysis of the prognostic value of circulating tumor cells in breast cancer. Clin Cancer Res. 2012;18(20):5701–5710.CrossRefPubMed
6.
Zurück zum Zitat Budd GT, Cristofanilli M, Ellis MJ, et al. Circulating tumor cells versus imaging: predicting overall survival in metastatic breast cancer. Clin Cancer Res. 2006;12(21):6403–6409.CrossRefPubMed Budd GT, Cristofanilli M, Ellis MJ, et al. Circulating tumor cells versus imaging: predicting overall survival in metastatic breast cancer. Clin Cancer Res. 2006;12(21):6403–6409.CrossRefPubMed
7.
Zurück zum Zitat Liu MC, Shields PG, Warren RD, et al. Circulating tumor cells: a useful predictor of treatment efficacy in metastatic breast cancer. J Clin Oncol. 2009;27(31):5153–5159.CrossRefPubMedPubMedCentral Liu MC, Shields PG, Warren RD, et al. Circulating tumor cells: a useful predictor of treatment efficacy in metastatic breast cancer. J Clin Oncol. 2009;27(31):5153–5159.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Lang JE, Scott JH, Wolf DM, et al. Expression profiling of circulating tumor cells in metastatic breast cancer. Breast Cancer Res Treat. 2015;149(1):121–31.CrossRefPubMed Lang JE, Scott JH, Wolf DM, et al. Expression profiling of circulating tumor cells in metastatic breast cancer. Breast Cancer Res Treat. 2015;149(1):121–31.CrossRefPubMed
9.
10.
Zurück zum Zitat Yu M, Bardia A, Wittner BS, et al. Circulating breast tumor cells exhibit dynamic changes in epithelial and mesenchymal composition. Science. 2013;339(6119):580–584.CrossRefPubMedPubMedCentral Yu M, Bardia A, Wittner BS, et al. Circulating breast tumor cells exhibit dynamic changes in epithelial and mesenchymal composition. Science. 2013;339(6119):580–584.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Zheng Y, Miyamoto DT, Wittner BS, et al. Expression of β-globin by cancer cells promotes cell survival during blood-borne dissemination. Nat Commun. 2017;8:14344.CrossRefPubMedPubMedCentral Zheng Y, Miyamoto DT, Wittner BS, et al. Expression of β-globin by cancer cells promotes cell survival during blood-borne dissemination. Nat Commun. 2017;8:14344.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Magbanua MJ, Park JW. Isolation of circulating tumor cells by immunomagnetic enrichment and fluorescence-activated cell sorting (IE/FACS) for molecular profiling. Methods. 2013;64(2):114–8.CrossRefPubMed Magbanua MJ, Park JW. Isolation of circulating tumor cells by immunomagnetic enrichment and fluorescence-activated cell sorting (IE/FACS) for molecular profiling. Methods. 2013;64(2):114–8.CrossRefPubMed
13.
Zurück zum Zitat Lang JE, Magbanua MJ, Scott JH, et al. A comparison of RNA amplification techniques at sub-nanogram input concentration. BMC Genom. 2009;10:326.CrossRef Lang JE, Magbanua MJ, Scott JH, et al. A comparison of RNA amplification techniques at sub-nanogram input concentration. BMC Genom. 2009;10:326.CrossRef
14.
Zurück zum Zitat Ring A, Mineyev N, Zhu W, et al. EpCAM based capture detects and recovers circulating tumor cells from all subtypes of breast cancer except claudin-low. Oncotarget. 2015;6(42):44623–44634.CrossRefPubMedPubMedCentral Ring A, Mineyev N, Zhu W, et al. EpCAM based capture detects and recovers circulating tumor cells from all subtypes of breast cancer except claudin-low. Oncotarget. 2015;6(42):44623–44634.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM. Reporting recommendations for tumor marker prognostic studies (REMARK). J Natl Cancer Inst. 2005;97(16):1180–1184.CrossRefPubMed McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM. Reporting recommendations for tumor marker prognostic studies (REMARK). J Natl Cancer Inst. 2005;97(16):1180–1184.CrossRefPubMed
16.
Zurück zum Zitat Hammond ME, Hayes DF, Dowsett M, et al. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol. 2010;28(16):2784–2795.CrossRefPubMedPubMedCentral Hammond ME, Hayes DF, Dowsett M, et al. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol. 2010;28(16):2784–2795.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Geiss GK, Bumgarner RE, Birditt B, et al. Direct multiplexed measurement of gene expression with color-coded probe pairs. Nat Biotechnol. 2008;26(3):317–325.CrossRefPubMed Geiss GK, Bumgarner RE, Birditt B, et al. Direct multiplexed measurement of gene expression with color-coded probe pairs. Nat Biotechnol. 2008;26(3):317–325.CrossRefPubMed
18.
Zurück zum Zitat Parker JS, Mullins M, Cheang MC, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27(8):1160–1167.CrossRefPubMedPubMedCentral Parker JS, Mullins M, Cheang MC, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27(8):1160–1167.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Gendoo DM, Ratanasirigulchai N, Schroder MS, et al. Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer. Bioinformatics. 2016;32(7):1097–1099.CrossRefPubMed Gendoo DM, Ratanasirigulchai N, Schroder MS, et al. Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer. Bioinformatics. 2016;32(7):1097–1099.CrossRefPubMed
22.
Zurück zum Zitat Dobin A, Davis CA, Schlesinger F, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15–21.CrossRefPubMed Dobin A, Davis CA, Schlesinger F, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15–21.CrossRefPubMed
23.
Zurück zum Zitat Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–140.CrossRefPubMed Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–140.CrossRefPubMed
26.
Zurück zum Zitat Gao J, Aksoy BA, Dogrusoz U, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6(269):pl1. Gao J, Aksoy BA, Dogrusoz U, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6(269):pl1.
27.
Zurück zum Zitat Cerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer discovery. 2012;2(5):401–404.CrossRefPubMed Cerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer discovery. 2012;2(5):401–404.CrossRefPubMed
28.
Zurück zum Zitat Curtis C, Shah SP, Chin SF, et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012;486(7403):346–352.CrossRefPubMedPubMedCentral Curtis C, Shah SP, Chin SF, et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012;486(7403):346–352.CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Cancer Genome Atlas N. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490(7418):61–70.CrossRef Cancer Genome Atlas N. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490(7418):61–70.CrossRef
30.
Zurück zum Zitat Powell AA, Talasaz AH, Zhang H, et al. Single cell profiling of circulating tumor cells: transcriptional heterogeneity and diversity from breast cancer cell lines. PloS One. 2012;7(5):e33788.CrossRefPubMedPubMedCentral Powell AA, Talasaz AH, Zhang H, et al. Single cell profiling of circulating tumor cells: transcriptional heterogeneity and diversity from breast cancer cell lines. PloS One. 2012;7(5):e33788.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Gulbahce N, Magbanua MJM, Chin R, et al. Quantitative Whole Genome Sequencing of Circulating Tumor Cells Enables Personalized Combination Therapy of Metastatic Cancer. Cancer research. 2017;77(16):4530–4541.CrossRefPubMed Gulbahce N, Magbanua MJM, Chin R, et al. Quantitative Whole Genome Sequencing of Circulating Tumor Cells Enables Personalized Combination Therapy of Metastatic Cancer. Cancer research. 2017;77(16):4530–4541.CrossRefPubMed
32.
Zurück zum Zitat Porras TB, Kaur P, Ring A, Schechter N, Lang JE. Challenges in using liquid biopsies for gene expression profiling. Oncotarget. 2018;9(6):7036–7053.CrossRefPubMedPubMedCentral Porras TB, Kaur P, Ring A, Schechter N, Lang JE. Challenges in using liquid biopsies for gene expression profiling. Oncotarget. 2018;9(6):7036–7053.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Fukuda T, Shirane A, Wada-Hiraike O, et al. HAND2-mediated proteolysis negatively regulates the function of estrogen receptor alpha. Mol Med Rep. 2015;12(4):5538–5544.CrossRefPubMed Fukuda T, Shirane A, Wada-Hiraike O, et al. HAND2-mediated proteolysis negatively regulates the function of estrogen receptor alpha. Mol Med Rep. 2015;12(4):5538–5544.CrossRefPubMed
34.
Zurück zum Zitat Saitoh T, Katoh M. Molecular cloning and characterization of human WNT8A. Int J Oncol. 2001;19(1):123–127.PubMed Saitoh T, Katoh M. Molecular cloning and characterization of human WNT8A. Int J Oncol. 2001;19(1):123–127.PubMed
35.
Zurück zum Zitat Nakanishi Y, Walter K, Spoerke JM, et al. Activating Mutations in PIK3CB Confer Resistance to PI3 K Inhibition and Define a Novel Oncogenic Role for p110beta. Cancer Res. 2016;76(5):1193–1203.CrossRefPubMed Nakanishi Y, Walter K, Spoerke JM, et al. Activating Mutations in PIK3CB Confer Resistance to PI3 K Inhibition and Define a Novel Oncogenic Role for p110beta. Cancer Res. 2016;76(5):1193–1203.CrossRefPubMed
36.
Zurück zum Zitat Elebro K, Borgquist S, Rosendahl AH, et al. High estrogen receptor beta expression is prognostic among adjuvant chemotherapy-treated patients-results from a population-based breast cancer cohort. Clin Cancer Res. 2017;23(3):766–777.CrossRefPubMed Elebro K, Borgquist S, Rosendahl AH, et al. High estrogen receptor beta expression is prognostic among adjuvant chemotherapy-treated patients-results from a population-based breast cancer cohort. Clin Cancer Res. 2017;23(3):766–777.CrossRefPubMed
37.
38.
Zurück zum Zitat Kalinich M, Bhan I, Kwan TT, et al. An RNA-based signature enables high specificity detection of circulating tumor cells in hepatocellular carcinoma. Proc Natl Acad Sci U S A. 2017;114(5):1123–1128.CrossRefPubMedPubMedCentral Kalinich M, Bhan I, Kwan TT, et al. An RNA-based signature enables high specificity detection of circulating tumor cells in hepatocellular carcinoma. Proc Natl Acad Sci U S A. 2017;114(5):1123–1128.CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat Miyamoto DT, Zheng Y, Wittner BS, et al. RNA-Seq of single prostate CTCs implicates noncanonical Wnt signaling in antiandrogen resistance. Science. 2015;349(6254):1351–1356.CrossRefPubMedPubMedCentral Miyamoto DT, Zheng Y, Wittner BS, et al. RNA-Seq of single prostate CTCs implicates noncanonical Wnt signaling in antiandrogen resistance. Science. 2015;349(6254):1351–1356.CrossRefPubMedPubMedCentral
Metadaten
Titel
RNA-Seq of Circulating Tumor Cells in Stage II–III Breast Cancer
verfasst von
Julie E. Lang, MD
Alexander Ring, MD, PhD
Tania Porras, MS
Pushpinder Kaur, PhD
Victoria A. Forte, MD
Neal Mineyev, MD
Debu Tripathy, MD
Michael F. Press, MD, PhD
Daniel Campo, PhD
Publikationsdatum
04.06.2018
Verlag
Springer International Publishing
Erschienen in
Annals of Surgical Oncology / Ausgabe 8/2018
Print ISSN: 1068-9265
Elektronische ISSN: 1534-4681
DOI
https://doi.org/10.1245/s10434-018-6540-4

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