| Literature DB >> 31796846 |
Masaya Hattori1, Hayao Nakanishi2,3, Mayumi Yoshimura2, Madoka Iwase4, Akiyo Yoshimura4, Yayoi Adachi4, Naomi Gondo4, Haruru Kotani4, Masataka Sawaki4, Nao Fujita2, Yasushi Yatabe2, Hiroji Iwata4.
Abstract
Circulating tumor cells (CTCs) in tumor draining vein blood (DB) are potential sources for liquid biopsy. However, the identification of CTCs in DB of breast cancer has not been attempted. In this study, we investigated the feasibility of CTC detection in DB of breast cancer patients using a newly developed filtration-based microfluidic CTC detection device. Samples of peripheral vein blood (PB) and DB drawn from the lateral thoracic vein of the resected breast tissue were collected during the perioperative period. We investigated 41 breast cancer patients who underwent breast surgery with axillary lymph node dissection. DB was successfully collected in 36 patients (87.8%), with a mean amount of 0.85 ml. CTCs were detected in 58.3% of PB samples and 80.6% of DB samples. DB had significant higher number of CTCs compared with PB (p < 0.001). CTCs were detected in 75.0% of DB samples and 50.0% of PB samples from patients achieving pathological complete response after neoadjuvant chemotherapy. These results suggest that abundant CTCs are released into the DB of breast cancer patients, indicating that CTCs in DB would be alternative sources for liquid biopsy and potential indicators for monitoring of treatment response and prognosis in breast cancer patients.Entities:
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Year: 2019 PMID: 31796846 PMCID: PMC6890763 DOI: 10.1038/s41598-019-54839-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Collection of draining vein blood (DB) from breast cancer patients. (A) Blood from breast tumor tissue into the axillary vein via the lateral thoracic vein (LTV). Photomicrograph during operation. (B) Sampling of DB from LTV in the breast cancer patient immediately after resection. Inset shows histology (HE) of a LTV 1–2 mm in diameter. Bar = 1 mm. Arrowheads indicate the LTV. (C) Variation of volumes of collected DB samples in this study (n = 36).
Figure 2Cytology-based CTC detection methods using a glass slide. (A) CTC glass slide were prepared by transferring of tumor cells from the filter (top panel). Photomicrograph of resultant CTC glass slide stained by Pap (lower panels, left: low magnification view). (B) Pap staining and pan-cytokeratin immunocytochemistry (ICC) of MCF-7 cells on separate glass slides (top row). Double staining of Pap and pan-cytokeratin ICC of MCF-7 cells on the same glass slide (bottom row). (C) Conventional triple immunofluorescence (IF) (pan-cytokeratin/CD45/Hoechst) of MCF-7 cells stained directly on the filter. (D) Combination staining of Pap and triple IF of MCF-7 cells on the same glass slide. Bar = 10 µm.
Clinical characteristics of the breast cancer patients included in this study.
| All patients, n (%) | Primary surgery patients, n (%) | NAC patients, n (%) | |
|---|---|---|---|
| Total patients | 36 | 13 | 23 |
| Age, median (range), years | 53 (35–81) | 60 (44–81) | 51 (35–73) |
| T0 | 1 (3) | 0 (0) | 1 (4) |
| T1 | 10 (28) | 7 (54) | 3 (13) |
| T2 | 19 (53) | 6 (46) | 13 (53) |
| T3 | 4 (11) | 0 (0) | 4 (17) |
| T4 | 1 (3) | 0 (0) | 1 (4) |
| 1–3 lymph nodes | 24 (67) | 8 (62) | 16 (70) |
| >3 lymph nodes | 12 (33) | 5 (38) | 7 (30) |
| Positive | 25 (69) | 11 (85) | 14 (61) |
| Negative | 11 (31) | 2 (15) | 9 (39) |
| Positive | 19 (53) | 9 (69) | 10 (43) |
| Negative | 17 (47) | 4 (31) | 13 (57) |
| Positive | 10 (28) | 1 (8) | 9 (39) |
| Negative | 26 (72) | 12 (92) | 14 (61) |
| Grade 1 | 3 (8) | 2 (15) | 1 (4) |
| Grade 2 | 18 (50) | 9 (69) | 9 (39) |
| Grade 3 | 14 (39) | 2 (15) | 12 (52) |
| NA | 1 (3) | 0 (0) | 1 (4) |
| AC-T | 21 (58) | 7 (54) | 14 (61) |
| AC-T + H | 7 (19) | 0 (0) | 7 (30) |
| Others | 5 (14) | 3 (23) | 2 (9) |
| None | 3 (8) | 3 (23) | 0 (0) |
| Yes | — | — | 8 (35) |
| No | — | — | 15 (65) |
Abbreviations: NAC, neoadjuvant chemotherapy; NA, not assessed; HER2, human epidermal growth factor-2; AC, doxorubicin and cyclophosphamide; T, taxane; H, Herceptin.
Figure 3Subtyping of CTCs by the current cytology-based CTC detection method. (A) Triple IF (HER2/Pan-cytokeratin/Hoechst) of BT-474 cells, followed by Pap staining. (B) HER2 FISH of GLM-1 cells, followed by Pap staining. (C) Subtyping of CTCs in DB from a breast cancer patient by IF (HER2+/PR+/Hoechst), followed by pan-cytokeratin ICC. Bar = 10 µm.
Figure 4Number of CTCs measured in various blood samples from breast cancer (BC) patients. (A) Quantitative analysis of the number of CTCs in DB and peripheral blood (PB) in BC patients and PB in healthy volunteers. *p = 0.03 (PB in patients vs. PB in healthy volunteers), **p < 0.01 (DB vs. PB in BC patients). (B) Correlation of CTC number between PB and DB in BC patients. No correlation was observed (correlation coefficient: r = −0.0875). (C) Comparison of CTC numbers between PB and DB from BC patients with and without (w/o) neoadjuvant chemotherapy (NAC). No significant difference was observed between BC patients with and without NAC both in both PB (per 10 ml) and DB (per ml). (D) Comparison of CTC numbers in PB (per 10 ml) and DB (per ml) between BC patients with residual disease to NAC (No-pCR) and pathological complete response (pCR). No significant differences in the numbers of CTCs detected in PB and DB between No-PCR and pCR. *p = 0.39 (No-pCR PB vs. pCR PB), **p = 0.85 (No-pCR DB vs. pCR DB).
Figure 5Morphology of CTCs in PB and DB from the same BC patients stained by Pap and cytokeratin ICC. (A) Representative CTCs in PB from BC patients without NAC, with No-pCR and with pCR after NAC. (B) Representative CTCs in DB from BC patients without NAC, with No-pCR and with pCR after NAC. CTCs obtained from patients with pCR after NAC exhibited some degenerative changes such as swollen nuclei and rough nuclear chromatin. Bar = 10 µm.