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World Journal of Gastroenterology logoLink to World Journal of Gastroenterology
letter
. 2016 Oct 28;22(40):9035–9038. doi: 10.3748/wjg.v22.i40.9035

Establishment of various biliary tract carcinoma cell lines and xenograft models for appropriate preclinical studies

Hidenori Ojima 1,2,3,4, Seri Yamagishi 1,2,3,4, Kazuaki Shimada 1,2,3,4, Tatsuhiro Shibata 1,2,3,4
PMCID: PMC5083809  PMID: 27833395

Abstract

We recently reported several driver genes of biliary tract carcinoma (BTC) that are known to play important roles in oncogenesis and disease progression. Although the need for developing novel therapeutic strategies is increasing, there are very few BTC cell lines and xenograft models currently available for conducting preclinical studies. Using a total of 88 surgical BTC specimens and 536 immunodeficient mice, 28 xenograft models and 13 new BTC cell lines, including subtypes, were established. Some of our cell lines were found to be resistant to gemcitabine, which is currently the first choice of treatment, thereby allowing highly practical preclinical studies to be conducted. Using the aforementioned cell lines and xenograft models and a clinical pathological database of patients undergoing BTC resection, we can establish a preclinical study system and appropriate parameters for drug efficacy studies to explore new biomarkers for practical applications in the future studies.

Keywords: Biliary tract carcinoma, Cell line, Xenograft model, Preclinical study


Core tip: Although the need for developing novel therapeutic strategies for biliary tract carcinoma (BTC) is increasing, there are only few xenograft models and cell lines available for in vivo and in vitro studies, respectively. To conduct appropriate preclinical studies, we established 28 xenograft models and 13 new BTC cell lines using several surgical BTC specimens and immunodeficient mice. Using the aforementioned cell lines and xenograft models and a clinical pathological database of patients undergoing BTC resection, we can establish appropriate parameters for drug efficacy studies to explore new biomarkers for practical applications in the future studies.

TO THE EDITOR

Biliary tract carcinoma (BTC) is an extremely malignant tumor. The incidence and mortality rates of BTC are currently rising and are particularly high in Asian countries. Surgical resection is the only curative treatment; however, most cases are diagnosed to be at advanced and inoperable stages by the time patients visit a hospital. The most serious problem is that there are no efficient chemotherapeutic regimens for patients with inoperable or recurrent BTC. Worldwide, gemcitabine-cisplatin combination therapy is the first choice, but clinicians are not satisfied with its efficacy. New drugs are needed for BTC patients.

Recently, we conducted genomic analyses of clinical specimens from 260 patients, which is the largest study till date, wherein we identified genomic abnormalities, which could be potential therapeutic targets, in 32 driver genes that play important roles in oncogenesis and disease progression in approximately 40% of BTC patients[1]. Although the need for developing novel therapeutic strategies is increasing, there are very few BTC-related resources currently available for conducting preclinical studies. The main reasons are as follows: the number of surgical BTC patients is not high at a single institute, and there is no large clinicopathological database. It is difficult to obtain surgical specimens for basic research. Therefore, there are only few xenograft models and cell lines available for in vivo and in vitro studies.

To conduct appropriate preclinical studies, surgical BTC specimens (collected from Japanese patients at the National Cancer Center Hospital, Tokyo, Japan since 2005 in an appropriate manner without any interference to pathological diagnosis) were directly transplanted into immunodeficient mice and subjected to cell culture medium to establish xenograft models and cell lines, respectively, as reported in 2010[2]. From a total of 88 BTC specimens and 536 immunodeficient mice during the period 2005-2013, we established 28 xenograft models (18 intrahepatic cholangiocarcinoma, four perihilar, and six distal BTC) and 13 new BTC cell lines, including subtypes (eight intrahepatic cholangiocarcinoma, two perihilar, and three distal BTC) (Table 1). Some of our established cell lines were found to be resistant to gemcitabine (Table 2), thereby allowing highly practical preclinical studies to be conducted. In addition, we conducted molecular pathology analyses of cell lines and constructed a clinical pathological database of patients undergoing BTC resection to establish appropriate parameters for drug efficacy studies to explore new biomarkers for practical applications (Figure 1)[2-5]. All experiments were approved by the Animal Care and Ethics Committee of the National Cancer Center (ID: T05-046). This study was approved by the Ethical Committee of the National Cancer Center (ID: 2007-022).

Table 1.

Clinicopathological features of original biliary tract tumors

Xenograft Pathological diagnosis of original tumor Age/sex Histologic type Prognosis (survival days) Chemotherapy Clinical evaluation of chemotherapy effect (effective days) Established cell line
1 CCC 70/F Adeno, mod Death (402) Non NCC-CC1
2 CCC 71/F Adeno, mod Death (175) Non NCC-CC3-1
NCC-CC3-2
3 CCC 59/M Adeno, mod Alive (2172) Non NCC-CC4-1
NCC-CC4-2
NCC-CC4-3(NCC-CC5)
4 CCC 31/M Adeno, mod + PSC Death (386) GEM + TS1 SD (84 d) NCC-CC6-1
NCC-CC6-2
5 Distal BDCa 58/F Adeno, mod Death (299) GEM PD NCC-BD1
6 Distal BDCa 77/F Adeno, mod Death (393) GEM PD NCC-BD21
7 Distal BDCa 80/M Adeno, mod Death (212) Non NCC-BD3
8 Hilar BDCa 74/M Adeno, mod Death (172) Non NCC-BD4-1
NCC-BD4-2
9 Hilar BDCa 48/M Adeno, well Alive (500) GEM PD NA
10 Hilar BDCa 43/M Adeno, mod Alive (1422) Non NA
11 CCC 69/M Adeno, mod Death (174) Non NA
12 CCC 54/F Adeno, mod Death (181) Non NA
13 CCC 56/M Adeno, mod Death (319) GEM PD NA
14 CCC 73/M Adeno, mod Death (53) Non NA
15 CCC 54/M Adeno, mod Alive (2608) Non NA
16 CCC 45/F Adeno, mod Alive (882) GEM + CDDP Unknown NA
17 CCC 72/M Muc Death (749) GEM/GEM + TS1 Unknown NA
18 CCC 78/M Adeno, mod Death (382) GEM Unknown NA
19 CCC 66/M Adeno, mod Death (168) Non NA
20 CCC 65/M CoCC Alive (1604) Non NA
21 CCC 70/M Adeno, por Death (851) GEM SD (49 d) NA
22 CCC 63/F Adeno, mod Alive (363) Unknown Unknown NA
23 CCC 72/M Adeno, mod Death (394) GEM PD NA
24 CCC 77/F Adeno, mod Death (445) GEM SD (105 d) NA
25 Hilar BDCa 66/M Adeno, mod Alive (102) GEM + TS1 Unknown NA
26 Distal BDCa 54/M Adeno, mod Alive (2096) Non NA
27 Distal BDCa 67/M Adeno, mod Death (672) GEM + TS1 PD NA
28 Distal BDCa 80/M Adeno, mod Alive (2024) GEM PR-CR (548 d) NA
1

BD2 was obtained from the direct culture of patient specimens. CCC: Cholangiocellular carcinoma; BDCa: Bile duct carcinoma; Adeno: Adenocarcinoma; mod: Moderately differentiated; PSC: Primary sclerosing cholangitis; Muc: Mucinous carcinoma; CoCC: Cholangiolocellular carcinoma; por: Poorly differentiated; non: No chemotherapy received; GEM: Gemcitabine; CDDP: Cisplatin; SD: Stable disease; PD: Progressive disease; PR: Partial response; CR: Complete response.

Table 2.

Sensitivity to gemcitabine in each cell line

Cell line Sensitivity to gemcitabine in cell line1
IC50 (μmol/L) IC60 (μmol/L) IC70 (μmol/L) IC80 (μmol/L)
NCC-CC1 86.78 N.A N.A N.A
NCC-CC3-1 0.04 1.82 9.31 85.21
NCC-CC3-2 0.10 1.92 43.83 N.A
NCC-CC4-1 0.05 4.08 N.A N.A
NCC-CC4-2 0.03 11.53 N.A N.A
NCC-CC4-3 (NCC-CC5) 0.06 4.92 95.10 N.A
NCC-CC6-1 0.01 0.02 0.06 3.76
NCC-CC6-2 10.98 35.67 N.A N.A
NCC-BD1 7.66 58.00 N.A N.A
NCC-BD2 N.A N.A N.A N.A
NCC-BD3 N.A N.A N.A N.A
NCC-BD4-1 0.04 0.06 0.09 2.93
NCC-BD4-2 0.06 0.07 0.19 5.37
1

The cytotoxicity of gemcitabine for each cell line was assessed by a modified 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt assay with CellTiter 96 Aqueous One Solution Reagent (Promega, Madison, WI, United States). Tumor cells (3000 cells⁄well) in the exponential growth phase were grown in 96-well plates. IC: Inhibitory concentration.

Figure 1.

Figure 1

Relationship between our materials and databases. There are three key factors: clinical samples, databases, and biliary tract carcinoma (BTC) models. Both the models and the databases are derived from the clinical samples. These databases comprise “clinicopathological data”, “mRNA expression profiles”, and “genetic mutation data”. BTC models are “xenograft models” and “cell lines”. These models are used for cooperative studies with pharmaceutical companies for translational research. For example, they provide us with new anti-cancer drugs, and we can perform drug efficacy tests. If necessary, we can also perform an immunohistochemical expression analysis. Then, we can compare the results of the analysis with those in the databases and validate them. After these steps, we can provide appropriate data to clinicians. Together, these databases and materials make translational research far more detailed and suitable for clinical trials.

Preclinical studies have found very little evidence regarding the combined effects of prospective anticancer combination therapies, including gemcitabine. Therefore, we continue to examine the combined effects of the utility of the Bliss method and combination index to assess the prognosis of BTC. Moreover, we are going to release some of our resources and data in the near future. We believe that our materials and data will not only aid in conducting appropriate preclinical studies but also accelerate basic research of BTC.

Footnotes

Manuscript source: Invited manuscript

Specialty type: Gastroenterology and hepatology

Country of origin: Japan

Peer-review report classification

Grade A (Excellent): 0

Grade B (Very good): B

Grade C (Good): 0

Grade D (Fair): 0

Grade E (Poor): E

Conflict-of-interest statement: Ojima H reports grants from Merck Serono Co., Ltd., grants from Eli Lilly Japan Co., Ltd., outside the submitted work.

Peer-review started: July 16, 2016

First decision: August 19, 2016

Article in press: September 28, 2016

P- Reviewer: Cho YB, Peraldo-Neia C S- Editor: Qi Y L- Editor: A E- Editor: Zhang FF

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