Literature DB >> 29620284

Enrichment and mutation detection of circulating tumor cells from blood samples.

Ruqin Kou1, Jian Zhao1, Priya Gogoi2, Shannon Carskadon3, Will Chow4, Clara Hwang5, Nallasivam Palanisamy3, Conrad Leung1, Yixin Wang4.   

Abstract

The potential of circulating tumor cells (CTCs) in the diagnosis and prognosis of cancer patients has become increasingly attractive. However, molecular analysis of CTCs is hindered by low sensitivity and a high level of background leukocytes in CTC enrichment technologies. We have developed a novel protocol using a microfluidic device, which enriches and retrieves CTCs from blood samples. The principle of CTC capturing is that tumor cells are larger and less deformable than normal blood cells. To evaluate the potential of utilizing Celsee PREP100 in CTC molecular analysis, we prepared prostate cancer cell lines PC3 and LNCaP, retrieved the captured cells and analyzed them using PCR amplicon sequencing. We were able to recover an average of 79% of 110‑1,100 PC3 and 60‑1,500 LNCaP cells, and detect the p.K139fs*3 deletion of the p53 gene in PC3 cells and p.T877A mutation of the androgen receptor gene in LNCaP cells. Next, we spiked these two types of cells into normal donor blood samples, captured the cells and analyzed them using PCR amplicon sequencing. The PC3 and LNCaP cells were captured and retrieved with the ratio of captured CTCs to the background leukocytes reaching 1:1.5 for PC3 and 1:2.9 for LNCaP cells. We further revealed that the p.K139fs*3 deletion and p.T877A mutation can be detected in the captured PC3 and LNCaP cells, respectively. We successfully validated this approach using clinical blood samples from patients with metastatic prostate cancer. Our results demonstrated a novel approach for CTC enrichment and illustrated the potential of CTC molecular characterization for diagnosis, prognosis and treatment selection of patients with metastatic malignancy.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29620284      PMCID: PMC5983925          DOI: 10.3892/or.2018.6342

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


Introduction

Circulating tumor cells (CTCs) have been identified in the blood and bone marrow of patients with breast, prostate and colon cancers (1–3) in as low as 1/100 million or 1 billion blood cells. Molecular characterization of CTCs may provide a greater understanding of the disease metastases, identify aggressive tumors and enable therapeutic selection and monitoring of the disease for patients undergoing treatment (4,5). A variety of technologies have been developed to improve detection and capture of CTCs from peripheral blood, which include immune-magnetic bead separation using monoclonal antibodies targeting cell-surface antigens for positive or negative selection, cell sorting using flow cytometry, filtration-based size separation, density gradient centrifugation, microfluidic devices and fast-scan imaging (6–10). For example, CellSearch™ was the first CTC technology that demonstrated its clinical validity in predicting progression-free and overall survival of metastatic cancer patients based on CTC enumeration (3–6). It is of great interest to go beyond cell enumeration and further characterize the CTCs by assessing clinically relevant molecular markers on or within CTCs to gain insight into the mechanisms of metastasis and best treatment modalities for patients (1–3,11,12). For example, significant progress has been made in breast cancer, including effective hormonal therapy, chemotherapy and targeted therapies against estrogen receptor (ER) and HER-2. In prostate cancer, androgen receptor (AR) variant 7 has been implicated in predicting response to targeted therapies on AR. Established clinical, pathological features and biomarker status are routinely used to guide treatment options. It has become critically important to determine which patients are most likely to benefit from specific therapies. Detecting such molecular markers using a minimally-invasive blood test for CTCs has great potential in clinical practice to guide therapy choice for patients. However, despite advances in CTC technologies, the low frequency of CTCs in cancer patients and the extensive background leukocytes have limited the synergism of biomarkers and CTC technologies (11,12). We have developed a novel microfluidic device, Celsee PREP100 that uses a size and deformability-based capturing mechanism of CTCs (13). The microfluidic chip has a parallel network of fluidic channels which contain about 56,000 capture chambers (13,14). The chip fabrication begins with a silicon master device containing micro-features that make up a fluidic network (75-µm deep), leading to individual cell trapping chambers (20×25×30 µm) with a pore size of 10×8 µm. Each chamber ensures smaller blood cells such as red blood cells and most of the leukocytes escape while larger cancer cells get trapped and isolated in the chamber. The manufacturing process uses standard photo-lithography and deep reactive ion etching for micro-fabrication. From the master device, a soft elastomeric negative mold is created by pouring and curing against the silicon master. The final micro-substrate is created by hot embossing a plastic plate made of cyclic olefin polymer (COP) against the elastomeric negative mold. A thin plastic laminate containing pressure-sensitive adhesive is then laminated against the COP micro-substrate to create the final microfluidic chip. The chip is placed on the Celsee PREP100 device for CTC capturing. Since the device captures cells using a label-free mechanism, it provides an improved sensitivity in capturing CTCs and an open platform for investigators to use a variety of antibodies to identify and characterize CTCs upon capturing (13,14). In a previous study, we compared CTC enumeration between the Celsee system and the FDA-cleared CellSearch system using blood samples from patients with metastatic prostate cancer. CTC counts were significantly higher using the Celsee system (14). The captured CTCs could also be retrieved reproducibly using a back-flow procedure from the microfluidic chip for further nucleic acid extraction and molecular analysis. In the present study, we report the development of a novel protocol for capturing cells using blood sample retrieval and analysis of the cells using PCR amplicon sequencing. Using this method, we evaluated the potential of applying Celsee PREP100 in CTC molecular analysis by analyzing p.K139fs*3 of TP53 and p.T877A of AR in captured prostate cancer cell lines PC3 and LNCaP and in captured spiked-in cells in normal donor blood. The method was also tested successfully in clinical blood samples from 11 patients with metastatic prostate cancer successfully. Our results demonstrated the potential of utilizing CTCs for diagnosis, prognosis and treatment selection of patients with metastatic malignancy.

Materials and methods

Materials

Prostate cancer cell lines PC3 and LNCaP were purchased from the American Type Culture Collection (ATCC; Manassas, VA, USA) and cultured in Dulbecco's modified Eagle's medium (DMEM) containing 5% fetal bovine serum (FBS) in a humidified incubator supplemented with 5% CO2. Upon confluency, cells were digested with 0.5% trypsin and passaged at a 1:4 ratio. Some cells were resuspended in culture medium, counted and used for experiments. Blood samples were obtained from healthy donors. Clinical blood samples from patients with metastatic prostate cancer were obtained at Henry Ford Health System (Detroit, MI, USA). The present study was approved by the Institutional Review Board (IRB) of the Henry Ford Health System and written consent was obtained from all patients. Following informed consent, blood samples from patients were acquired in 10 ml BCT Cell-Free DNA tubes (Streck, La Vista, NE, USA) or EDTA-coated Vacutainer® tubes (BD Biosciences, Franklin Lakes, NJ, USA).

Removal of CD45-positive cells from blood samples and CTC enrichment and staining

To test CTC enrichment efficiency using the Celsee PREP100 instrument, 250 PC3 and 50 LNCaP cells were spiked into 4 ml of blood from healthy donors. CD45-positive cells were removed using the RosetteSep Human CD45 Depletion Cocktail (Stemcell Technologies, Inc., Cambridge, MA, USA) following the manufacturer's protocol. The upper layer of plasma cells was collected and added into the inlet funnel of the Celsee PREP100. Cells were enriched in the microfluidic chip and stained for cytokeratins, CD45 and nuclei using anti-Pan cytokeratin antibody (1:100 dilution; cat. no. 914204), anti-CD45 antibody (1:100 dilution; cat. no. 368515; both antibodies were from BioLegend, Inc., San Diego, CA, USA) and DAPI, using Celsee PREP100 CTC Immunochemistry kit (Celsee Diagnostics, Plymouth, MI, USA). Cells enriched on the slides were counted using the Celsee Analyzer (14). Cytokeratins and DAPI-positive and CD45-negative cells were counted as CTC cells. The enrichment efficiency was calculated as the percentage of the enriched cells of the total spiked-in cells.

Cell retrieval using the Celsee PREP100 instrument

A different amount of PC3 and LNCaP cells were spiked into the priming buffer and retrieved in 2 ml phosphate-buffered saline (PBS) using the Celsee PREP100 instrument (Celsee Diagnostics) following the protocol provided by the manufacturer. The cells were then concentrated in 10–50 µl by centrifugation at 500 × g for 10 min, and counted using a hemocytometer. The retrieval efficiency was calculated as the percentage of the retrieved cells of the total spiked-in cells.

Retrieval of spiked-in PC3 and LNCaP cells in normal donor blood samples

A different amount of PC3 and LNCaP cells were spiked into 4 ml of blood from healthy donors. After removal of the CD45-positive cells and enrichment of the spiked-in CTCs as aforementioned, cells enriched in the microfluidic chip were retrieved in 2 ml PBS using the Celsee PREP100 instrument (Celsee Diagnostics) following the manufacturer's protocol. These cells were then collected by centrifugation at 500 × g for 10 min and stored at −20°C for future analysis by PCR amplicon sequencing.

Capturing and retrieval of CTCs in clinical blood samples

An aliquot of 4 ml of blood sample was used to capture or retrieve CTCs using the Celsee PREP100 instrument (Celsee Diagnostics) following the protocol provided by the manufacturer. CTCs were monitored using an inverted fluorescence microscope. CTC enumeration following antibody labeling was performed manually. PanCK+/CD45− nucleated cells were identified as CTCs. Positive and negative controls for antibody performance and staining were included in each experiment. After removal of CD45-positive cells and enrichment of the spiked-in CTCs as aforementioned, cells enriched in the microfluidic chip were retrieved in 2 ml PBS using the Celsee PREP100 instrument (Celsee Diagnostics) following the manufacturer's protocol. These cells were then collected by centrifugation at 500 × g for 10 min and stored at −20°C for future analysis by PCR amplicon sequencing.

PCR amplicon sequencing

Mutations p.K139fs*3 of TP53 in PC3 and p.T877A of AR in LNCaP cells have been previously reported (15,16). To detect these mutations, nested PCR was employed. Tables I and II lists outer and inner primer sets designed to amplify each of the mutations. The retrieved cells were resuspended in 5 µl ddH2O and incubated at 4°C for 10 min, and used as the template for PCR amplification. The PCR assay was set up in a 20-µl reaction containing 10 µl KAPA HiFi HotStart Ready Mix (Kapa Biosystems, Inc., Wilmington, MA, USA), 300 nM of each outer primer and 1 µl dimethyl sulfoxide (DMSO) at the following cycling conditions: 2 min at 95°C, followed in turn by 3 cycles of 20 sec at 98°C, 20 sec at 64°C and 30 sec at 72°C, 3 cycles of 20 sec at 98°C, 20 sec at 61°C and 30 sec at 72°C, 3 cycles of 20 sec at 98°C, 20 sec at 58°C and 30 sec at 72°C, 35 cycles of 20 sec at 98°C, 20 sec at 57°C and 30 sec at 72°C and 10 min at 72°C. One microliter of amplified PCR products with the outer primer set was used as the template for the PCR reaction using the inner primer set under the same conditions. The final PCR products were examined on 1% agarose gel and subjected to Sanger sequencing using the inner primers after purification.
Table I.

Primer sequences used for amplification of fragments containing mutations of interest.

Mutationp.K139fs*3p.T877A
Forward outer primerCTGAGTGACAGAGCAAGACCCTATAAAATCAGAGGTTGGGGAAGA
Reverse outer primerAGTGTTTCTGTCATCCAAATACTCCACAACTTGACACTGGGCCATA
Forward inner primerGTTTCTTTGCTGCCGTCTTCCACCTCCTTGTCAACCCTGT
Reverse inner primerACACGCAAATTTCCTTCCACTGGGAAGCAAAGTCTGAAGG
Table II.

Primer sequences used for amplification of fragments containing mutations of interest in clinical blood samples.

Mutationp.T877A
Forward outer primerAAAATCAGAGGTTGGGGAAGA
Reverse outer primerACAACTTGACACTGGGCCATA
Forward inner primerCACCTCCTTGTCAACCCTGT
Reverse inner primerTGGGAAGCAAAGTCTGAAGG
Forward inner primerAGATTGCGAGAGAGCTGCAT
Reverse inner primerTGCCATGGGAGGGTTAGATA

Results

Mutation detection in PC3 and LNCaP cell lines

PC3 and LNCaP cell lines are established prostate cancer cells and have been widely used in studies on prostate cancer. It has been reported that PC3 cells possess a deletion in the TP53 gene, p.K139fs*3 and LNCaP possess a missense A to G mutation in the AR gene, p.T887A mutation (15,16). To detect these mutations, we designed primers (Table I) targeting the mutations, performed nested PCR and subsequently sequenced the amplicons by Sanger sequencing. To detect the p.T877A mutation of the AR gene in the blood samples of patients, a second set of inner primers were used to improve the sensitivity of the assay (Table II). Fig. 1 reveals the PCR products and Fig. 2 reveals the Sanger sequencing results. The p.K139fs*3 and p.T887A mutations were successfully detected from 28–1,200 PC3 cells, and 10–200 LNCaP cells, respectively.
Figure 1.

Nested PCR amplification of the TP53 gene from PC3 cells and the androgen receptor gene from LNCaP cells. (A) Electrophoresis gel imaging of nested PCR amplicons from 0, 28, 280, 400, 800 and 1,200 PC3 cells. (B) Electrophoresis gel imaging of nested PCR amplicons from 0, 5, 10, 20, 25, 100 and 200 LNCaP cells.

Figure 2.

Sanger sequencing results of the nested PCR amplicons from PC3 and LNCaP cells. (A) Sequencing results of TP53 from control gDNA (upper panel) and PC3 cells (lower panel), revealing a deletion in TP53 from PC3 cells. (B) Sequencing results of AR from control gDNA (upper panel) and LNCaP cells (lower panel), revealing a missense mutation in AR from LNCaP cells.

Cell retrieval efficiency using Celsee PREP100

We next tested CTC enrichment efficiency of the Celsee PREP100 by inputting a total of 110, 220, 330, 440, 550, 880 and 1,100 PC3 cells, and 60, 300, 600, 900, 1,200 and 1,500 LNCaP cells, respectively. The results are shown in Table III. Overall, the efficiency for cell retrieval was ~70% with a range from 40 to 121% for PC3 and LNCaP cells. The observation that some of the cell recovery rates were >100% was due to the variation of cell counts by hemocytometer at low cell numbers.
Table III.

Efficiency of CTC retrieval using Celsee PREP100.

Total input PC3 (no. of cells)1102203304405508801,100
Retrieved PC3 (no. of cells)128150208531360368750
Recovery rate (%)1166863121654268
Total input LNCaP (no. of cells)603006009001,2001,2001,500
Retrieved LNCaP (no. of cells)582506186051,233810600
Recovery rate (%)9683103671036840

CTCs, circulating tumor cells.

CTC enrichment and retrieval efficiencies using spiked-in cells in normal donor blood samples

To test the enrichment and retrieval efficiencies of CTC in blood samples, we spiked PC3 and LNCaP into 4 ml of whole blood samples from healthy donors and stained the enriched cells for cytokeratins, CD45 and nuclei. Fig. 3 reveals typical images of the enriched cells in the microfluidic chip, where cytokeratins and DAPI-positive (green and blue) and CD45-negative cells were considered as CTC cells. The results (Table IV) reveals that ~40% of 250 spiked-in PC3 cells and 74% of 50 spiked-in LNCaP cells were retrieved after enrichment. Furthermore, the enriched PC3 and LNCaP cells accounted for ~40 and 25% of the total retrieved cells and the ratio of captured CTCs to the background cells reached 1:1.5 for PC3 and 1:2.9 for LNCaP cells, suggesting that the removal of blood cells by the Celsee PREP100 was nearly complete and the level of remaining leukocytes in the enriched sample was very low.
Figure 3.

Representative images of the enriched cells using Celsee PREP100. Green, red and blue signals indicate cytokeratins and DAPI-positive, CD45-negative and nuclei, respectively. (A) Images from individual channels. (B) Composite images from all 3 channels revealing differential staining of CTCs (green) and leukocytes (red). It also revealed that circulating tumor cells (CTCs) are captured as a single cell, double cells and cell clusters.

Table IV.

Efficiency of CTC enrichment from blood samples using Celsee PREP100.

Cell typesPC3LNCaP
No. of spiked-in CTC250  50
No. of total captured cells240146
No. of captured CTC cells  96  37
No. of background cells144109
CTC recovery rate (%)  38  74
CTCs vs. background cells (ratio)1:1.501:2.90

CTCs, circulating tumor cells.

CTC enrichment and retrieval using clinical blood samples

To test the enrichment and retrieval efficiencies of CTC the blood samples of patients, we stained the enriched cells for cytokeratins, CD45 and nuclei. Fig. 3 reveals typical images of the enriched cells in the microfluidic chip, where cytokeratins and DAPI-positive (green and blue) and CD45-negative cells were considered as CTC cells. For the patient samples that had CTCs, we processed another 4 ml of the blood samples and retrieved CTCs for subsequent mutation analysis.

Mutation analysis

In order to test whether or not the mutations p.K139fs*3 of TP53 in PC3 and p.T877A of AR in LNCaP cells could be detected in the enriched cells from blood samples, we spiked 50, 100, 300 and 1,000 PC3 cells, and 25, 50, 100 and 250 LNCaP cells into 4 ml of blood samples, depleted CD45-positive cells, enriched and retrieved the cancer cells using Celsee PREP100. The cells were then spun down, resuspended in water and used as templates for PCR amplification and subsequent Sanger sequencing. Fig. 4 reveals the PCR products. Fig. 5 shows the Sanger sequencing results of the PCR amplicons, indicating that both mutations could be successfully detected in the enriched cells. For the CTCs retrieved from 14 clinical blood samples, we successfully performed the mutation analysis of p.T877A. The AR mutation (heterozygous mutation) was identified in the 1 sample (CTC 37) tested (Fig. 6) and all other samples were negative for this mutation. Sixty-three CTCs were identified in sample CTC 37.
Figure 4.

PCR products of the TP53 gene from the enriched PC3 cells from blood and the androgen receptor gene from enriched LNCaP cells from blood. (A) Electrophoresis gel imaging of nested PCR amplicons of the enriched cells from blood samples with spiked-in 50, 200, 300, 1,000 PC3 cells. (B) Electrophoresis of nested PCR amplicons of the enriched cells from blood samples with spiked-in 25, 50, 100 and 250 LNCaP cells.

Figure 5.

Sanger sequencing results of PCR amplicons of the TP53 and androgen receptor genes of the enriched PC3 and LNCaP cells from blood. (A) The upper panel is the sequencing result from the control gDNA and the lower panel is the representative sequencing result of nested PCR amplicons of the enriched PC3 cells. (B) The representative Sanger sequencing result of nested PCR amplicons of the enriched LNCaP cells. Arrows indicate the mutations.

Figure 6.

Sanger sequencing results of PCR amplicons of the androgen receptor gene of the enriched patient blood samples. The panel is the representative sequencing result of nested PCR amplicons of the patient blood samples (CTC 31 to CTC 41). Sample (CTC 37) carries a heterozygous AR mutation in its circulating tumor cells (CTCs).

Discussion

Molecular characterization of CTCs has been hindered by low sensitivity and a high level of background leukocytes of currently available CTC enrichment technologies. We demonstrated that CTCs can be readily captured and further characterized with molecular markers using a simple device, Celsee PREP100. The protocol we report in the present study enriches and retrieves CTCs from blood samples based on the fact that tumor cells are larger and less deformable than normal blood cells. To evaluate the performance on cell enrichment and retrieval, we prepared prostate cancer cell lines PC3 and LNCaP and analyzed the captured cells by PCR amplicon sequencing. We were able to recover an average of 79% (ranging from 40 to 100%) of 110–1,100 PC3 cells, and 60–1,500 LNCaP cells and detect the p.K139fs*3 deletion of TP53 in PC3 cells and the p.T877A mutation of AR in LNCaP cells. We also tested these two types of cells spiked into normal donor blood samples, captured and retrieved the cells and analyzed the retrieved cells by PCR amplicon sequencing. We were able to capture ~40% of PC3 cells and 74% of LNCaP cells with the ratio of captured CTCs to the background leukocytes reaching 1:1.5 for PC3 and 1:2.9 for LNCaP cells. The p.K139fs*3 deletion and the p.T877A mutation were detected in the captured spiked-in PC3 and LNCaP cells, respectively. The method was also tested successfully in clinical blood samples from patients with metastatic prostate cancer. Our results demonstrated the potential of CTC molecular characterization for the diagnosis, prognosis and treatment selection of patients with metastatic malignancy. The unique design of the microfluidic chip and Celsee PREP100 allows separation of CTCs from the background leukocytes and retrieval of the captured CTCs in a simple fashion. The variability observed on the recovery rate of cell retrieval is mainly due to the nature of the manual operation of the protocol. For example, the pressure and speed of manual pausing and pumping to retrieve the captured cells could vary from experiment to experiment and operator to operator. The variable number of background leukocytes could come from different healthy donors of the blood samples. To improve the purity of captured cells and the consistency of the protocol performance, we are developing an automated pump that can be connected to the Celsee PREP100 to retrieve captured cells from the microfluidic chip for PCR and sequencing analyses. Enrichment of circulating cells can enable a number of downstream molecular applications. In addition to Sanger sequencing analysis used in our study, RT-PCR and DNA array assays on gene expression profiling, as well as NGS analysis on several DNA and RNA based genomic applications have been explored with enriched CTCs. Fluorescence in situ hybridization (FISH) assay on CTCs has also been demonstrated for determining gene amplification and aberrant copy number changes in cancer cells. Molecular profiling of CTCs could produce insightful information towards understanding the heterogeneity and the complexity of cancer and shed further light on the mechanisms of tumor metastasis, thus delineating tumor cells that are relevant to prognosis and therapy choice. With improvements on automation and standardization, enrichment and characterization of CTCs could overcome the technical limitations of low sensitivity and high background leukocytes and become a routine diagnostic tool in clinical use.
  16 in total

1.  Microfluidic sorting and multimodal typing of cancer cells in self-assembled magnetic arrays.

Authors:  Antoine-Emmanuel Saliba; Laure Saias; Eleni Psychari; Nicolas Minc; Damien Simon; François-Clément Bidard; Claire Mathiot; Jean-Yves Pierga; Vincent Fraisier; Jean Salamero; Véronique Saada; Françoise Farace; Philippe Vielh; Laurent Malaquin; Jean-Louis Viovy
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-02       Impact factor: 11.205

2.  Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with nonmalignant diseases.

Authors:  W Jeffrey Allard; Jeri Matera; M Craig Miller; Madeline Repollet; Mark C Connelly; Chandra Rao; Arjan G J Tibbe; Jonathan W Uhr; Leon W M M Terstappen
Journal:  Clin Cancer Res       Date:  2004-10-15       Impact factor: 12.531

3.  Isolation of circulating tumor cells using a microvortex-generating herringbone-chip.

Authors:  Shannon L Stott; Chia-Hsien Hsu; Dina I Tsukrov; Min Yu; David T Miyamoto; Belinda A Waltman; S Michael Rothenberg; Ajay M Shah; Malgorzata E Smas; George K Korir; Frederick P Floyd; Anna J Gilman; Jenna B Lord; Daniel Winokur; Simeon Springer; Daniel Irimia; Sunitha Nagrath; Lecia V Sequist; Richard J Lee; Kurt J Isselbacher; Shyamala Maheswaran; Daniel A Haber; Mehmet Toner
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-07       Impact factor: 11.205

Review 4.  Circulating tumour cells in cancer patients: challenges and perspectives.

Authors:  Klaus Pantel; Catherine Alix-Panabières
Journal:  Trends Mol Med       Date:  2010-07-29       Impact factor: 11.951

5.  Molecular biomarker analyses using circulating tumor cells.

Authors:  Elizabeth A Punnoose; Siminder K Atwal; Jill M Spoerke; Heidi Savage; Ajay Pandita; Ru-Fang Yeh; Andrea Pirzkall; Bernard M Fine; Lukas C Amler; Daniel S Chen; Mark R Lackner
Journal:  PLoS One       Date:  2010-09-08       Impact factor: 3.240

6.  Circulating tumor cells, disease progression, and survival in metastatic breast cancer.

Authors:  Massimo Cristofanilli; G Thomas Budd; Matthew J Ellis; Alison Stopeck; Jeri Matera; M Craig Miller; James M Reuben; Gerald V Doyle; W Jeffrey Allard; Leon W M M Terstappen; Daniel F Hayes
Journal:  N Engl J Med       Date:  2004-08-19       Impact factor: 91.245

7.  Molecular characterization of circulating tumor cells in large quantities of contaminating leukocytes by a multiplex real-time PCR.

Authors:  Anieta M Sieuwerts; Jaco Kraan; Joan Bolt-de Vries; Petra van der Spoel; Bianca Mostert; John W M Martens; Jan-Willem Gratama; Stefan Sleijfer; John A Foekens
Journal:  Breast Cancer Res Treat       Date:  2008-12-30       Impact factor: 4.872

8.  Exome sequencing reveals comprehensive genomic alterations across eight cancer cell lines.

Authors:  Han Chang; Donald G Jackson; Paul S Kayne; Petra B Ross-Macdonald; Rolf-Peter Ryseck; Nathan O Siemers
Journal:  PLoS One       Date:  2011-06-20       Impact factor: 3.240

9.  A novel microchannel-based device to capture and analyze circulating tumor cells (CTCs) of breast cancer.

Authors:  Reza Riahi; Priyadarshini Gogoi; Saedeh Sepehri; Yi Zhou; Kalyan Handique; Jim Godsey; Yixin Wang
Journal:  Int J Oncol       Date:  2014-03-21       Impact factor: 5.650

Review 10.  Circulating tumor cells: a window into cancer biology and metastasis.

Authors:  Shyamala Maheswaran; Daniel A Haber
Journal:  Curr Opin Genet Dev       Date:  2010-01-12       Impact factor: 5.578

View more
  5 in total

1.  Single-Cell Analysis of BRAFV600E and NRASQ61R Mutation Status in Melanoma Cell Lines as Method Generation for Circulating Melanoma Cells.

Authors:  Joseph W Po; Yafeng Ma; Alison W S Luk; David Lynch; Bavanthi Balakrishnar; Daniel Brungs; Farhad Azimi; Adam Cooper; Erin Saricilar; Vinay Murthy; Paul de Souza; Therese M Becker
Journal:  Methods Mol Biol       Date:  2021

2.  Circulating tumor cells after neoadjuvant chemotherapy are related with recurrence in esophageal squamous cell carcinoma.

Authors:  Daisuke Ujiie; Takuro Matsumoto; Eisei Endo; Hirokazu Okayama; Shotaro Fujita; Yasuyuki Kanke; Yohei Watanabe; Hiroyuki Hanayama; Suguru Hayase; Zenichirou Saze; Shinji Ohki; Koji Kono
Journal:  Esophagus       Date:  2021-03-04       Impact factor: 4.230

3.  Circulating tumor cells prior to initial treatment is an important prognostic factor of survival in non-small cell lung cancer: a meta-analysis and system review.

Authors:  Sha-Sha Jiang; Bo Deng; Yong-Geng Feng; Kai Qian; Qun-You Tan; Ru-Wen Wang
Journal:  BMC Pulm Med       Date:  2019-12-26       Impact factor: 3.317

Review 4.  Microfluidics applications for high-throughput single cell sequencing.

Authors:  Wen-Min Zhou; Yan-Yan Yan; Qiao-Ru Guo; Hong Ji; Hui Wang; Tian-Tian Xu; Bolat Makabel; Christian Pilarsky; Gen He; Xi-Yong Yu; Jian-Ye Zhang
Journal:  J Nanobiotechnology       Date:  2021-10-11       Impact factor: 10.435

5.  [Preliminary Study on Detection of Circulating Tumor Cells in Lung Cancer by EGFR/Vimentin/Folic Acid Magnetic Sphere].

Authors:  Guolei Li; Yun Wang; Guoliang Tan; Yuan Liu; Zhao Xu; Hao Feng; Wei Xing; Zhifeng Xu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2020-04-27
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.