Youngnam Cho. National Cancer Center Biomarker Branch

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Transcription:

Youngnam Cho National Cancer Center Biomarker Branch

Contents 1. Liquid Biopsy 2. Circulating Tumor Cells from Blood 3. Cell-free DNA from Blood

1. Liquid biopsy

Cancer Diagnosis IMAGING TISSUE BIOPSY LIQUID BIOPSY Very low sensitivity Technically challenging, expensive

Tissue biopsy vs. Liquid biopsy Tissue sample Liquid sample Advantages Challenges Complete picture Invasive of procedure tumor proteins expression/activation Limited quantity Best sample Difficulties for patients in serial repetitive stratification collection in responders & non-responders to therapy Not always representative for the entire variety of Still the gold malignant standard clones: for TUMOR tumor characterization HETEROGENEITY Advantages Challenges Non-invasive Low collection biomarker concentration Fast & low cost collection Complexity Serial, repetitive collection Lack of standardization, Information on still tumor used mainly in heterogeneity translational research

Blood as a real-time liquid biopsy CTCs (Circulating tumor cells) cfdnas (Circulating cell-free nucleic acids) Exosomes mirna Genome Biology, 2014, 15, 229

2. Circulating Tumor Cells from blood Theranostics, 2017, 8, 505-517 Gynecol. Oncol., 2017, 145, 361-365 Biomaterials, 2016, 106, 78-86 Biosen. Bioelectron.. 2016, 86, 921-926 Angew. Chem. Int. Ed, 2014, 25, 4597-602 Biomaterials, 2014, 35, 9573-9580

Circulating Tumor Cells are the Message of Metastasis Cancer cell that has detached from a solid tumor and entered the peripheral blood stream ~ 85% of all solid tumors are of epithelial origin The presence of circulating tumor cells in the peripheral blood is associated with decreased progression-free survival and decreased overall survival in patients with metastatic breast, colorectal, or prostate cancer. J Natl Compr Canc Netw. 2013 Aug; 11(8): 977 985 N Engl J Med 2004; 351:781-791

Technical Issues #1

Technical Issues #2

CTC Separation By size By density By immuno-magnetic separation (CellSearch) By microfluidics Extraction Efficiency and Purity

Circulating Tumor Cells: Nanochip & Microfludics CTC-1 WBC CTC-2 CTC-3

Magnetic Nanowires (MagWires) Magnetic nanowires (20 µm length, 200 nm diameter) Long, thin, and flexible morphology High surface-to-volume ratio Low-cost and easy to develop functionalization platform

Circulating Tumor Cells: Magnetic NWs Five antibodies including epithelial / mesenchymal markers on the NW surface

Cell Recovery and Purity : In vitro cancer cells were spiked into the blood High EpCAM Very low EpCAM Expression > 90% Purity Recovery Five different types of antibodies on the nanowire Higher isolation efficiency regardless of the EpCAM expression levels in tumor cells

Circulating Tumor Cells from Cancer Patients SEM Immunohistochemistry Immunofluorescence EpCAM DAPI Vimentin CD45 CTC : EpCAM + / DAPI + / CD45 - CTC : EpCAM+/Hematoxylin+

Circulating Tumor Cells_Blind Test Early, non-metastatic Breast Cancer vs. Normal 10 No. of CTCs / 3 ml blood 8 6 4 2 0 0 10 20 30 40 50 60 70 Blind test Normal (n=50) Early, non-metastatic Breast cancer (n=26)

Circulating Tumor Cells Test Lung Cancer Prostate Cancer Nor Normal (n=7) Lung cancer (n=21) Normal (n=7) Prostate cancer (n=9)

Lung Cancer Patient_Circulating Tumor Cells Study No: 0185-001 The changes in CTC numbers before and after surgery in LC patients Before surgery (6 CTCs / 3 ml blood) EpCAM DAPI Vimentin CD45 After surgery (0 CTCs / 3 ml blood)

Lung Cancer Patient_Circulating Tumor Cells Study No: 0185-003 Before surgery (21 CTCs / 3 ml (3 clusters)) After surgery (9 CTCs / 3 ml (1 clusters))

The Assessment of EGFR Mutations by CTCs - Droplet Digital PCR Droplet digital PCR CTCs: Positive Mutant CTCs: Wild type In four out of 11 patients, the same mutation type was confirmed in both CTCs and the primary tumors

3. Circulating Tumor DNA from blood Theranostics, 2017, 8, 399-409 Biomaterials, 2016, 101, 251-257 Theranostics, 2016, 6, 828-836 Biosen. Bioelectron., 2016, 106, 78-86 Theranostics, 2017, 8, 505-517 Biosen. Bioelectron.. 2016, 86, 864-

Schema of nucleosome organization. Stryer, Lubert. Biochemistry (fourth ed.). New York - Basingstoke: W. H. Freeman and Company. Circulating Cell-free DNA (cfdna) Tumor-related cfdna: Fragmented DNA (166 bp average length) in plasma or serum Average half-life of < 2 hr Tumor-related cfdna levels increase in advanced stages of cancer Assessing intra-tumor heterogeneity

Problems with cfdna Most tumor-related cfdna is released from the apoptotic cancer cells with small fragments Only obtain 30ng of cfdna per 5 ml plasma extraction The technique used must be sensitive enough to pick up the low level variants for discovering gene mutations using cfdna DNA fragments > 10,000 bp 100 ~ 200 bp MOLECULAR ONCOLOGY 10 (2016) 481 e493

cfdnas extraction Strategy : Magnetic nanowires PEI-conjugated magnetic NWs DNA-NW aggregates increase the capture of cfdna Proteinase K-containing lysis buffer enables the conversion of the aggregated structures into a homogeneous distribution of individual NWs to release cfdna

cfdnas extraction Strategy : Magnetic nanowires NW aggregates vs. cfdna recovery yield NW Capture Efficiency (Tumor-derived cfdnas : 100-200 bp) The mean number of DNA-NW aggregates is proportional to the DNA concentration Low-range DNA : 10-100 bp Middle-range DNA : 100-2000 bp High-range DNA : >3.5 kb

cfdnas extraction Strategy : Magnetic nanowires NW aggregates vs. cfdna recovery yield vs. cfdna in copies of EGFR mutation/µl NW aggregates in plasma of healthy control (H) vs. patients with lung cancer (L1, L2). EGFR exon21 L858R (Tissue biopsy) NW aggregates enable highly efficient isolation of small-fragmented, tumor-related cfdna

cfdnas extraction Strategy : Magnetic nanowires NWs efficiently bind extremely low levels of cfdna in the plasma of lung cancer patients

Liquid biopsy Answering questions about unmet medical need By rapid biomarker assessment in cancer patients for whom solid biopsies are impossible due to restricted or extremely risky access possibilities By repeated monitoring during cancer patient follow-up to control treatment efficiency By detecting genomic alterations occurring as result of resistance to therapy Obtaining cancer-related biomarkers as much as possible

Acknowledgements Present Group Members - Mihae Choi - Hyungjae Lee - Minkyung Cho - Hyunjoo Noh - Yena Ha - Jiyoon Lim Seoul National University Hospital - Dr. Taemin Kim - Soojung Hur - Soyoun Kim Genopsy Inc. - Dr. Hyunho Jung - Dr. Wijung Jeon - Eunsook Jung - Seungwook Cho National Cancer Center Breast cancer team - Dr. Eunsook Lee Lung cancer team - Dr. Jiyoun Han - Dr. Youngjoo Lee - Dr. Jinsoo Lee Prostate cancer team - Dr. Kanghyun Lee - Dr. Jaeyoung Jung - Dr. Sunghan Kim Thyroid cancer team - Dr. Eunkyung Lee Bladder cancer team - Dr. Hokyung Seo

Thanks!