Establishment of Patient-Derived Organoids Using Ascitic or Pleural Fluid from Cancer Patients

Wonyoung Choi; Yun-Hee Kim; Sang Myung Woo; Yebeen Yu; Mi Rim Lee; Woo Jin Lee; Jung Won Chun; Sung Hoon Sim; Heejung Chae; Hyoeun Shim; Keun Seok Lee; Sun-Young Kong

doi:10.4143/crt.2022.1630

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Original Article General Establishment of Patient-Derived Organoids Using Ascitic or Pleural Fluid from Cancer Patients: Wonyoung Choi^1,2,3, Yun-Hee Kim^3,4, Sang Myung Woo^5,6, Yebeen Yu⁷, Mi Rim Lee⁴, Woo Jin Lee^6,8, Jung Won Chun^6,9, Sung Hoon Sim^10,11, Heejung Chae^10,12, Hyoeun Shim¹³, Keun Seok Lee^1,10, Sun-Young Kong^3,7,13; Cancer Research and Treatment : Official Journal of Korean Cancer Association 2023;55(4):1077-1086.
DOI: https://doi.org/10.4143/crt.2022.1630
Published online: June 12, 2023

¹Center for Clinical Trials, National Cancer Center, Goyang, Korea

²Division of Cancer Biology, Cancer Molecular Biology Branch, Research Institute of National Cancer Center, Goyang, Korea

³Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea

⁴Division of Technology Convergence, Cancer Molecular Imaging Branch, Research Institute of National Cancer Center, Goyang, Korea

⁵Division of Rare and Refractory Cancer, Immuno-oncology Branch, Research Institute of National Cancer Center, Goyang, Korea

⁶Center for Liver and Pancreatobiliary Cancer, Hospital, National Cancer Center, Goyang, Korea

⁷Division of Rare and Refractory Cancer, Targeted Therapy Branch of Research Institute, National Cancer Center, Goyang, Korea

⁸Division of Clinical Research, Cancer Outcome & Quality Improvement Branch, Research Institute of National Cancer Center, Goyang, Korea

⁹Division of Clinical Research, Interventional Medicine Branch, Research Institute of National Cancer Center, Goyang, Korea

¹⁰Center for Breast Cancer, National Cancer Center, Goyang, Korea

¹¹Division of Rare and Refractory Cancer, Anticancer Resistance Branch, Research Institute of National Cancer Center, Goyang, Korea

¹²Center for Cancer Data Center, National Cancer Control Institute of National Cancer Center, Goyang, Korea

¹³Department of Laboratory Medicine, National Cancer Center, Goyang, Korea

Correspondence: Keun Seok Lee, Center for Breast Cancer, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea,
Tel: 82-31-920-1623, Fax: 82-31-920-0436, E-mail: kslee@ncc.re.kr

Co-correspondence: Sun-Young Kong, Division of Rare and Refractory Cancer, Department of Laboratory Medicine, Targeted Therapy Branch, Research Institute of National Cancer Center, Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea,
Tel: 82-31-920-1735, Fax: 82-31-920-1339, E-mail: ksy@ncc.re.kr

* Wonyoung Choi and Yun-Hee Kim contributed equally to this work.

• Received: December 20, 2022 • Accepted: June 7, 2023

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
Introduction
Materials and Methods
Results
Discussion
Electronic Supplementary Material
NOTES
REFERENCES

Abstract

Purpose
Patient-derived tumor cells can be a powerful resource for studying pathophysiological mechanisms and developing robust strategies for precision medicine. However, establishing organoids from patient-derived cells is challenging because of limited access to tissue specimens. Therefore, we aimed to establish organoids from malignant ascites and pleural effusions.
Materials and Methods
Ascitic or pleural fluid from pancreatic, gastric, and breast cancer patients was collected and concentrated to culture tumor cells ex vivo. Organoids were considered to be successfully cultured when maintained for five or more passages. Immunohistochemical staining was performed to compare the molecular features, and drug sensitivity was assayed to analyze the clinical responses of original patients.
Results
We collected 70 fluid samples from 58 patients (pancreatic cancer, n=39; gastric cancer, n=21; and breast cancer, n=10). The overall success rate was 40%; however, it differed with types of malignancy, with pancreatic, gastric, and breast cancers showing 48.7%, 33.3%, and 20%, respectively. Cytopathological results significantly differed between successful and failed cases (p=0.014). Immunohistochemical staining of breast cancer organoids showed molecular features identical to those of tumor tissues. In drug sensitivity assays, pancreatic cancer organoids recapitulated the clinical responses of the original patients.
Conclusion
Tumor organoids established from malignant ascites or pleural effusion of pancreatic, gastric, and breast cancers reflect the molecular characteristics and drug sensitivity profiles. Our organoid platform could be used as a testbed for patients with pleural and peritoneal metastases to guide precision oncology and drug discovery.
Key words: Organoids, Pancreatic neoplasms, Stomach neoplasms, Breast neoplasms, Ascites, Pleural effusion

Introduction

Malignant ascites and pleural effusion arise from metastatic tumors in the peritoneal and pleural cavities. Peritoneal metastasis frequently occurs in gastrointestinal cancers (e.g., stomach, colon, and pancreas) while pleural metastasis occurs in lung and breast cancers [1–3]. The pathophysiological mechanism of fluid accumulation in pleural/peritoneal metastases is complex and multifactorial [4,5]. Nevertheless, free-floating tumor cells in the fluid can often be detected by cytopathological analyses, such as cytospin or liquid-based cytology, which reflects the aggressive nature of metastatic tumor. Metastases to these sites are associated with grave prognoses owing to inadequate responses to standard chemotherapy, which eventually causes organ dysfunction and death [6,7]. Therefore, strategies to overcome this clinical limitation are urgently required.

An organoid is a three-dimensional (3D) culture system that efficiently recapitulates in vivo aspects of a tissue or organ [8]. Expanded to cancer, a patient’s tumor cells obtained from surgical or biopsy specimens can be grown in 3D structures that systematically recapitulate molecular characteristics of the original tumor [9–12]. Organoids can be established in many different types of human cancers, and drug sensitivity profiles are highly correlated with the patient’s clinical response [13–15]. Therefore, organoids can serve as a powerful resource to study the pathophysiological mechanisms of the disease itself, as well as for developing robust therapeutic strategies.

Most tumor organoids are derived from the cells of tissue specimens. However, obtaining tissues may not be feasible in patients with metastases because it requires invasive procedures. Occasionally, the tumor may be located in deep anatomical sites that are inaccessible for biopsy. Owing to these limitations, establishing tumor organoids in patients with metastatic cancers has been challenging, even though this group has the highest research priority. In contrast, free-floating tumor cells are readily accessible in patients with pleural/peritoneal metastases through minimally invasive needle aspiration techniques. As tumor cells in malignant ascites and pleural effusion reflect the metastatic tumor burden, they can be utilized for investigational purposes through ex vivo cultures [16,17].

Previous studies have shown that tumor organoids could be established from ascites or pleural fluid of pancreatic, gastric, and breast cancer patients [18–20]. However, the success rates of organoid culture from these fluid samples have not been thoroughly examined. Also, whether these fluid-derived organoids could reflect the therapeutic responses of the matching patients have not been studied.

In this study, we demonstrated that tumor organoids can be established from malignant ascites or pleural effusion from pancreatic, gastric, and breast cancers using a refined protocol for organoids development from tissues. We described the success rates of long-term cultures based on clinical and cytologic factors and compared drug sensitivity profiles of tumor organoids to that of patient’s clinical response.

Materials and Methods

1. Sample collection and establishment of organoids

Malignant ascites or pleural effusions were collected during paracentesis or thoracentesis performed during standard care for patients with pancreatic, gastric, or breast cancer at the National Cancer Center (Goyang, Republic of Korea). Briefly, 50–100 mL of fluid samples were collected in sterile containers, centrifuged at 1,500 ×g for 10 minutes, and washed to concentrate the tumor cells. After additional refining steps and cell counting, 1×10⁵ cells were embedded in 40 μL of Matrigel (Corning Inc., Corning, NY) and seeded in each well of a 24-well cell culture plate. After the Matrigel was solidified, 500 μL medium supplemented with defined growth factors (S1 Table) was added to each well and grown under standard culture conditions (37°C, 5% CO₂). Patient sample collection and experimental procedures were reviewed and approved by the Institutional Review Board of the National Cancer Center (IRB Nos. NCC2019-0034, NCC2021-0232, NCC2020-0299, and NCC2020-0337).

2. Maintenance of organoid culture

Growth media were changed twice a week, and the organoids were subcultured when they reached a predefined size depending on the morphology and growth rates. The organoids were considered to be successfully cultured when they were maintained for five or more passages. During subculture at passages 1 and 5, the organoids were cryopreserved and analyzed for short tandem repeats and mycoplasma for quality control.

3. Drug sensitivity assay

Pancreatic cancer organoids were seeded in a 384-well plate with 500 cells embedded in 20 μL of 10% Matrigel in each well. After three days, drugs were added to each well and maintained in culture for five days. Cell viability was assessed using a CellTiter-Glo 3D Cell Viability Assay (Promega, Madison, WI) following the manufacturer’s protocol. The drugs used in the assays were 5-fluorouracil (#HY-90006, MedChemExpress, Monmouth Junction, NJ), oxaliplatin (#HY-17371, MedChemExpress), irinotecan (Onyvide, provided by Ipsen, Paris, France), gemcitabine (Gemcit, provided by Dong-A ST, Seoul, Korea), nab-paclitaxel (Abraxane, provided by Cellgene, Summit, NJ), erlotinib (#HY-50896, MedChemExpress), epirubicin (#HY-13624A, MedChemExpress), cisplatin (Cisplan inj, provided by Dong-A ST), and carboplatin (#17393, MedChemExpress).

4. Droplet digital PCR for KRAS mutations

PCR reaction was performed using QX200 Droplet Digital PCR (ddPCR) System (Bio-Rad, Hercules, CA) with mixture KRAS G12D or G12V mutation detection reagent (Bio-Rad) which includes wild-type probe labeled with HEX dye and mutant probe with FAM dye, ddPCR supermix for probes (Bio-Rad), and 2 μL DNA template in final volume of 20 μL with DEPC-treated water. Positive controls for G12D or G12V mutation were CCRF-CEM and CFPAC-1 cell line.

5. Statistical analysis

Statistical analyses were performed using R (ver. 4.2.0, R Foundation for Statistical Computing, Vienna, Austria) and GraphPad Prism (ver. 9.4.1, GraphPad Software, San Diego, CA). Descriptive statistics are reported as numbers and percentages of patients. Continuous variables were compared using the t test, and categorical variables were analyzed using the chi-square or Fisher’s exact test.

Results

1. Patients’ characteristics

In this study, 70 fluid samples were collected from malignant ascites or pleural effusion of 58 patients; 39 were from pancreatic cancer, 21 from gastric cancer, and 10 from breast cancer (Table 1, S1–S3 Tables). As the proportion of tumor cells and their biological characteristics vary among different samples, organoids were not formed in many cases. In addition, in some cases, where 3D structures of organoids were formed at the initial passage, maintaining them in subcultures was unsuccessful. We found that tumor organoids subcultured for five or more passages could be expanded and maintained as a long-term culture. Therefore, we defined our success of organoid culture as the ability to maintain them for five or more passages (Fig. 1A, S4–S6 Figs.).

The overall success rate of organoid culture (maintained for at least five passages) was 40.0%; however, it differed depending on the type of malignancy, with pancreatic, gastric, and breast cancers showing 48.7%, 33.3%, and 20.0% success rates, respectively. More samples were collected from ascitic fluid (n=53) than from pleural effusion (n=17), which was attributed to the type of primary cancer. Cytopathology with either cytospin or liquid-based cytology was applied for ascitic and pleural fluids in parallel to detect the presence of malignant cells. Thirty-five patients were positive in cytopathology, with a success rate of 48.4%. However, 24 patients were negative for cytopathology, with a success rate of 25.0%. Unlike the positive predictive value, the negative predictive value of cytopathology test was high (75%). Statistical analysis with Fisher’s exact test also showed that the cytopathology results significantly differed between the successful and failed cases (p=0.014).

2. Pancreatic cancer organoids

A total of 39 samples were collected from patients with pancreatic cancer, and 19 samples were successfully cultured (Table 2, S2 Table). These organoids were stained positive for cytokeratin 19 (CK19), supporting their origin of pancreatic tumor cells (S4 Fig.) [21]. As pancreatic cancer frequently metastasizes to the peritoneal cavity, most fluid samples were collected from malignant ascites (n=33) and six were from pleural effusion. The rate of successful organoid culture was not statistically different between the ascitic and pleural fluids. In total, 18 samples were positive, and 18 were negative for cytopathology. Cytopathology was not tested in three cases. The prediction rate for successful organoid culture was 50% and 61.1% in cytopathology-positive and -negative cases, respectively. The negative and positive prediction rates for cytopathology were neither high enough nor statistically significant.

3. Gastric cancer organoids

Twenty-one samples were collected from gastric cancer patients (Table 3, S3 Table). The majority of samples (n=20) were from ascites with six successful cases, and one successful case was from pleural effusion. Cytopathology results were positive for 12 cases, and six were successfully cultured. In contrast, only one out of nine cytopathology-negative cases was successful. The prediction rate for successful organoid culture was 50% for cytopathology-positive cases. For cytology-negative cases, the negative prediction rate was 88.9%. Nevertheless, the difference was not statistically significant, probably because of the small number of cases in this dataset. Regarding tumor differentiation, most cases (n=20) were from poorly differentiated adenocarcinomas, indicating that this subtype shows highly aggressive behavior to cause pleural/peritoneal metastases. Six poorly differentiated and one moderately differentiated carcinoma cells were successfully cultured. CDX2 and CK19 are protein markers that are expressed in a subset of gastric epithelial cells, and our gastric cancer organoids were also positively stained for CDX2 and/or CK19 (S5 Fig.) [21]. Human epidermal growth factor receptor 2 (HER2) is a druggable target in metastatic gastric cancer, and one case was positive for HER2 staining, which was unsuccessful in the organoid culture. The low number of HER2-positive cases reflects the characteristics of the original tumor, as most poorly differentiated gastric cancers are negative for HER2 expression [22]. The number of prior lines of systemic therapy did not differ between the successful and unsuccessful cases.

4. Breast cancer organoids

Ten pleural fluid samples were collected from breast cancer patients (Table 4, S7 Table). Five were positive for cytopathology; two were successfully cultured, and none of the cytopathology-negative cases were successful. Among the clinical subtypes of breast cancer, two were positive for hormone receptor (HR), three were HR+/HER2+, one was HER2+, and four were triple-negative breast cancer (TNBC). One case of HER2+ breast cancer and another case of TNBC were successfully cultured. Clinically, the Ki67 index of tumor tissues is used to classify the subtype of breast cancer with a cutoff of 14% [23]. Seven cases had a Ki67 index > 14%, and two were successfully cultured. Both of the successfully cultured organoids were positively stained for mammaglobin, which is the tissue-specific marker for breast epithelial cells (S6 Fig.) [21].

5. Organoids retain their molecular and histologic characteristics

To assess whether organoids derived from ascites or pleural effusion recapitulate the molecular characteristics of the primary tumor, we performed immunohistochemical staining of breast cancer organoids for estrogen receptor (ER), progesterone receptor (PR), and HER2. For breast cancer, two organoids were successfully cultured; one was HR−/HER2+, and the other was TNBC. Immunohistochemical staining showed that the organoid in the HR−/HER+ case was positive for HER2 and negative for both ER and PR. In addition, TNBC cells were negative for all three proteins (Fig. 1B).

In pancreatic cancer, KRAS mutation is the most common oncogenic alteration found in more than 90% of the samples [24]. Therefore, we compared the mutation profiles of KRAS from patients’ plasma circulating tumor DNA and their organoids by ddPCR in seven cases. Although the detailed mutation profiles varied by each patient, the organoids derived from their ascites or pleural effusion also retained the driver oncogenic alterations (S8 Table). We also compared the mutational status of the KRAS oncogene in a pancreatic cancer patient’s ascitic fluid collected serially (PC14-A1 at baseline, and PC14-A2 at 1-month post-chemotherapy with gemcitabine and nab-paclitaxel), and the tumor organoids derived from them. Although the fractional abundance was lower with the ascitic fluid, both the ascites and organoid samples revealed the presence of KRAS G12V, showing that oncogenic driver alterations are consistent and confirming that the organoids were derived from the metastatic tumor cells in the peritoneal cavity. The morphologies of the two organoids that were derived at different time points from the same patient were also comparable (S9 Fig.).

6. Ex vivo drug sensitivity profiles of organoids recapitulate patients’ responses to chemotherapeutic agents

Patients with malignant ascites or pleural effusion are candidates for palliative chemotherapy, and tumor organoids derived from these samples can be utilized to test drug response to plan for personalized treatment strategies. In addition, organoids derived at this time point could better reflect the molecular characteristics of metastatic tumors than do the primary tissues. The feasibility of serial sample acquisition is another advantage of malignant fluid-derived organoids. Therefore, dynamic changes can also be monitored in organoids derived from sequential samples. Based on these facts, we performed drug sensitivity assays using pancreatic cancer organoids.

We performed sensitivity assays with ten drugs, six of which are used in standard regimens for pancreatic cancer (5-fluorouracil, oxaliplatin, irinotecan, gemcitabine, nab-paclitaxel, and erlotinib) and three that are not routinely used but considered potential therapeutic agents (epirubicin, cisplatin, and carboplatin) [25–27]. Eight pancreatic cancer organoids derived from five patients were selected (S10 Fig.). As the patients were treated with FOLRINOX (5-fluorouracil, irinotecan, and oxaliplatin) and/or gemcitabine with nab-paclitaxel regimens, the drug response profiles (area under the dose-response curve) of organoids were compared with therapeutic responses of the original patients (S11 Table, S10 Fig.).

In the test results of 5-fluorouracil, irinotecan, and oxaliplatin, organoids derived from a patient with a good clinical response to FOLFIRINOX (PC13-PE, progression-free survival of 6.5 months) showed a relatively better sensitivity profile than the case with a poor outcome (PC08-A2, progression-free survival of 1.8 months) (Fig. 2A). Organoids were derived from sequential samples obtained from the same patient. In the case (PC10) with organoids derived from ascites before (PC10-A1) and after (PC10-A2) chemotherapy with gemcitabine and nab-paclitaxel, the dose-response curves of both agents showed a right shift in the post-chemotherapy samples (Fig. 2B). The patient’s best response was a stable disease that lasted six months, and organoid from the post-chemotherapy sample (PC10-A2) was considered to reflect acquired drug resistance profiles to gemcitabine and nab-paclitaxel. These data show that the drug responses tested in organoids correlate well with the patient’s clinical responses to matching agents.

Discussion

This study demonstrated that organoids can be established from malignant ascites or pleural effusion from patients with advanced stages of pancreatic, gastric, and breast cancers. Metastasis to the pleural/peritoneal cavity is a poor prognostic factor for these malignancies [1,2,7,16,17]. As the clinical benefits of conventional therapies are limited, novel approaches are required to overcome this hurdle. Organoids retain the molecular and histological features of primary tumor tissues and reflect drug sensitivity profiles [9–15,28,29]. Compared to obtaining tumor tissues, collecting ascitic or pleural fluid samples has added benefits. First, it is less invasive because it can be achieved using ultrasound-guided needle aspiration. This is a considerable advantage for cancers located in deep anatomical locations, such as pancreatic cancer. Second, serial sample acquisition allows the collection of tumor cells during treatment course that can best recapitulate the biology of the patient’s status. Since pleural/peritoneal metastases poorly respond to chemotherapy, and aggravation of these lesions eventually leads to organ dysfunction and death, establishing a testing platform of drug response targeting tumors from these sites is imperative.

In parallel with the organoid culture, all fluid samples were tested for cytopathology using either cytospin or liquid-based cytology. The overall positive predictive value (PPV) was 48.4% and the negative predictive value (NPV) was 75.0% for cytopathology. The PPV was similar among different malignancies, with 50% for pancreatic and gastric cancers and 40% for breast cancer. However, the NPV was 54.5% for pancreatic cancer, 88.9% for gastric cancer, and 100% for breast cancers. The patient-derived organoid (PDO) establishment rate highly correlates with the tumor cellularity in the original specimen [13]. Counting the number of tumor cells in ascites or pleural fluid is challenging. However, cases that were negative for cytopathology probably contained a low number of tumor cells, which led to a significant difference in the success rates between cytopathology-positive and cytopathology-negative cases. However, this differed among cancer types as the cytopathology-negative samples mostly failed in gastric and breast cancers, but approximately half of the cytopathology-negative cases were successfully cultured in pancreatic cancer. This might be because of the relatively high aggressive nature of peritoneal metastatic cells in pancreatic cancer, and a lower number of cells might be required to form organoids [30]. In line with this, cytopathology could help in candidate selection for PDO establishment in gastric and breast cancer, but not as much in pancreatic cancer.

Li et al. [19] also cultured malignant ascites-derived organoids (MADO) from gastric cancer patients. They showed molecular and histological characteristics similar to those of ascitic tumor cells. The reported success rate was 92% (11 out of 12 cases), which was higher than our results. However, their definition of successful organoid culture was not precisely described in the paper, and a direct comparison between studies should be cautiously performed. Moreover, their optimized MADO method required supernatant of patient-derived ascitic fluid in the culture medium. From our perspective, this method is not sustainable for maintaining organoids in long-term culture as the patients’ fluid samples cannot be obtained repeatedly. In contrast, our study used only defined growth factors for the culture medium, which allows maintenance without requiring patient-derived fluid samples.

PDOs from tumor tissues recapitulate drug responses in patients [13,14]. Furthermore, the establishment of biobanks for these organoids has been demonstrated for drug screening purpose and personalized therapies [9,10]. Our results are in accordance with these, as PDOs derived from malignant ascites showed drug sensitivity profiles similar as the original patient’s clinical responses. As pleural/peritoneal metastases are poorly sensitive to standard therapeutic options, these data indicate the importance of organoids as a test bed for personalized therapy and novel drug discovery, particularly for recalcitrant cancers.

This study had several limitations. Most importantly, the number of patients included in this study was small. Statistical tests for clinicopathologic features that predict successful culture showed that only cytopathology results were significant. Nevertheless, larger cohorts might be necessary to identify predictive factors for successful establishment of organoids. Second, the success rate varied among the cancer subtypes. These numbers are lower than the reported values when organoids are established from tumor tissue. However, this might be because of the small number of tumor cells, as cells in the ascitic or pleural fluid are relatively sparse compared with those in surgical or biopsy specimens. This was reflected in the cytology results, as the tumor cells were not visible in approximately 46% of the fluid samples. Third, the clinical subtypes of each cancer were skewed toward more aggressive features. For example, gastric cancer mainly consisted of poorly differentiated adenocarcinoma with only one HER2+ case. Four of the ten breast cancer samples were TNBC. The proportions of these clinical subtypes differ from those of primary tumors [31,32]. They are enriched with more aggressive tumors, indicating that these tumors are more prone to metastasis into the pleural/peritoneal cavity.

Despite these limitations, organoids established from malignant ascites or pleural effusions of pancreatic, gastric, and breast cancers provide a robust platform for drug sensitivity assays and molecular profiling, which could guide precision oncology and drug discovery. Furthermore, this approach could be extended to other malignancies, such as colon or ovarian cancers, and could provide novel perspectives that can supplement tissue-based organoid research.

Electronic Supplementary Material

Supplementary materials are available at Cancer Research and Treatment website (https://www.e-crt.org).

crt-2022-1630_S1_Table.pdf

crt-2022-1630_S2_Table.pdf

crt-2022-1630_S3_Table.pdf

crt-2022-1630_S4_Fig.pdf

crt-2022-1630_S5_Fig.pdf

crt-2022-1630_S6_Fig.pdf

crt-2022-1630_S7_Table.pdf

crt-2022-1630_S8_Table.pdf

crt-2022-1630_S9_Fig.pdf

crt-2022-1630_S10_Fig.pdf

crt-2022-1630_S11_Table.pdf

NOTES

Ethical Statement

This study had been authorized by the Institutional Review Boards of the National Cancer Center approved the study protocol (NCC2019-0034, NCC2021-0232, NCC2020-0299, and NCC2020-0337). Informed consent was obtained from all participants.

Author Contributions

Conceived and designed the analysis: Choi W, Kim YH, Kong SY.

Contributed data or analysis tools: Choi W, Kim YH, Woo SM, Yu Y, Lee MR, Lee WJ, Chun JW, Sim SH, Chae H, Shim H, Lee SK, Kong SY.

Performed the analysis: Choi W, Kim YH, Kong SY.

Wrote the paper: Choi W, Kim YH, Lee KS, Kong SY.

Conflicts of Interest

Conflict of interest relevant to this article was not reported.

Acknowledgements

This work was supported by grants from the National Cancer Center [Grant No. 2010120] and the National Research Foundation of Korea (NRF), funded by the Korean government (MSIT) [Grant No. 2020M3A9A5036362]. We thank Hyun-Jin Kim and Young Hwa Kang for their support.

Fig. 1

(A) Representative microscopic images of organoids derived from malignant ascites or pleural effusion of pancreatic, gastric, and breast cancer patients. Scale bars=100 μm. (B) Immunohistochemical staining of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) in breast cancer organoids. TNBC, triple-negative breast cancer. Scale bars=50 μm.

Fig. 2

Drug response curves for 5-fluorouracil (5-FU), irinotecan, oxaliplatin (A), and gemcitabine and nab-paclitaxel (B) in pancreatic cancer organoids. The data presented in the plot are the average of four replicate measurements of each sample.

Table 1

Patient characteristics

	Total	Success	Fail	p-value
No. (%)	70	28 (40.0)	42 (60.0)
Age (yr), median (range)	63 (34–83)	63 (34–78)	64 (37–83)	0.351
Sex
Male	32	13 (40.6)	19 (59.4)	> 0.99
Female	38	15 (39.5)	23 (60.5)
Cancer type
Pancreas	39	19 (48.7)	20 (51.3)	0.193
Gastric	21	7 (33.3)	14 (66.7)
Breast	10	2 (20.0)	8 (80.0)
Sample type
Ascites	53	21 (39.6)	32 (60.4)	> 0.99
Pleural effusion	17	7 (41.2)	10 (58.8)
Cytopathology
Positive	35	17 (48.4)	18 (51.6)	0.014
Negative	32	8 (25.0)	24 (75.0)
N/A	3	3 (100)	0

Values are presented as number (%) unless otherwise indicated. N/A, not available.

Table 2

Patient characteristics of pancreatic cancer

	Total	Success	Fail	p-value
No. (%)	39	19 (48.7)	20 (51.3)
Age (yr), median (range)	65 (38–80)	64 (51–78)	66 (38–80)	0.965
Sample type
Ascites	33	15 (45.5)	18 (54.5)	0.408
Pleural effusion	6	4 (66.7)	2 (33.3)
Cytopathology
Positive	18	9 (50.0)	9 (50.0)	0.195
Negative	18	7 (38.9)	11 (61.1)
N/A	3	3 (100)	0

Values are presented as number (%) unless otherwise indicated. N/A, not available.

Table 3

Patient characteristics of gastric cancer

	Total	Success	Fail	p-value
No. (%)	21 (100)	7 (33.3)	14 (66.7)
Age (yr), median (range)	59 (34–83)	54 (34–66)	60 (37–83)	0.156
Sample type
Ascites	20	6 (30.0)	14 (70.0)	0.333
Pleural effusion	1	1 (100)	0
Cytopathology
Positive	12	6 (50.0)	6 (50.0)	0.161
Negative	9	1 (11.1)	8 (88.9)
Tumor differentiation
Moderate	1	1 (100)	0	0.333
Poor	20	6 (30.0)	14 (70.0)
HER2 expression
Negative	20	7 (35.0)	13 (65.0)	> 0.99
Positive	1	0	1 (100)
Prior lines of therapy
0 or 1	8	3 (37.5)	5 (62.5)	> 0.99
2 or more	13	4 (30.8)	9 (69.2)

Values are presented as number (%) unless otherwise indicated. HER2, human epidermal growth factor receptor 2.

Table 4

Patient characteristics of breast cancer

	Total	Success	Fail	p-value
No. (%)	10	2 (20.0)	8 (80.0)
Age (yr), median (range)	59 (47–72)	47 (47–47)	61 (54–72)	< 0.001
Sample type
Pleural effusion	10	2 (20.0)	8 (80.0)
Cytopathology
Positive	5	2 (40.0)	3 (60.0)	0.444
Negative	5	0	5 (100)
Clinical subtype
HR+	2	0	2 (100)	0.289
HR+ HER2+	3	0	3 (100)
HER2+	1	1 (100)	0
TNBC	4	1 (25.0)	3 (75.0)
Ki67 index (%)
< 14	2	0	2 (100)	> 0.99
≥14	7	2 (28.6)	5 (71.4)
N/A	1	0	1 (100)

Values are presented as number (%) unless otherwise indicated. HER2, human epidermal growth factor receptor 2; HR, hormone receptor; N/A, not available; TNBC, triple-negative breast cancer.

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Establishment of Patient-Derived Organoids Using Ascitic or Pleural Fluid from Cancer Patients

Cancer Res Treat. 2023;55(4):1077-1086. Published online June 12, 2023

DOI: https://doi.org/10.4143/crt.2022.1630

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Establishing Patient-Derived Cancer Cell Cultures and Xenografts in Biliary Tract Cancer

Establishment of Patient-Derived Organoids Using Ascitic or Pleural Fluid from Cancer Patients

Fig. 1 (A) Representative microscopic images of organoids derived from malignant ascites or pleural effusion of pancreatic, gastric, and breast cancer patients. Scale bars=100 μm. (B) Immunohistochemical staining of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) in breast cancer organoids. TNBC, triple-negative breast cancer. Scale bars=50 μm.

Fig. 2 Drug response curves for 5-fluorouracil (5-FU), irinotecan, oxaliplatin (A), and gemcitabine and nab-paclitaxel (B) in pancreatic cancer organoids. The data presented in the plot are the average of four replicate measurements of each sample.

Fig. 1

Fig. 2

Establishment of Patient-Derived Organoids Using Ascitic or Pleural Fluid from Cancer Patients

Table 1

Patient characteristics

	Total	Success	Fail	p-value
No. (%)	70	28 (40.0)	42 (60.0)
Age (yr), median (range)	63 (34–83)	63 (34–78)	64 (37–83)	0.351
Sex
Male	32	13 (40.6)	19 (59.4)	> 0.99
Female	38	15 (39.5)	23 (60.5)
Cancer type
Pancreas	39	19 (48.7)	20 (51.3)	0.193
Gastric	21	7 (33.3)	14 (66.7)
Breast	10	2 (20.0)	8 (80.0)
Sample type
Ascites	53	21 (39.6)	32 (60.4)	> 0.99
Pleural effusion	17	7 (41.2)	10 (58.8)
Cytopathology
Positive	35	17 (48.4)	18 (51.6)	0.014
Negative	32	8 (25.0)	24 (75.0)
N/A	3	3 (100)	0

Values are presented as number (%) unless otherwise indicated. N/A, not available.

Table 2

Patient characteristics of pancreatic cancer

	Total	Success	Fail	p-value
No. (%)	39	19 (48.7)	20 (51.3)
Age (yr), median (range)	65 (38–80)	64 (51–78)	66 (38–80)	0.965
Sample type
Ascites	33	15 (45.5)	18 (54.5)	0.408
Pleural effusion	6	4 (66.7)	2 (33.3)
Cytopathology
Positive	18	9 (50.0)	9 (50.0)	0.195
Negative	18	7 (38.9)	11 (61.1)
N/A	3	3 (100)	0

Values are presented as number (%) unless otherwise indicated. N/A, not available.

Table 3

Patient characteristics of gastric cancer

	Total	Success	Fail	p-value
No. (%)	21 (100)	7 (33.3)	14 (66.7)
Age (yr), median (range)	59 (34–83)	54 (34–66)	60 (37–83)	0.156
Sample type
Ascites	20	6 (30.0)	14 (70.0)	0.333
Pleural effusion	1	1 (100)	0
Cytopathology
Positive	12	6 (50.0)	6 (50.0)	0.161
Negative	9	1 (11.1)	8 (88.9)
Tumor differentiation
Moderate	1	1 (100)	0	0.333
Poor	20	6 (30.0)	14 (70.0)
HER2 expression
Negative	20	7 (35.0)	13 (65.0)	> 0.99
Positive	1	0	1 (100)
Prior lines of therapy
0 or 1	8	3 (37.5)	5 (62.5)	> 0.99
2 or more	13	4 (30.8)	9 (69.2)

Values are presented as number (%) unless otherwise indicated. HER2, human epidermal growth factor receptor 2.

Table 4

Patient characteristics of breast cancer

	Total	Success	Fail	p-value
No. (%)	10	2 (20.0)	8 (80.0)
Age (yr), median (range)	59 (47–72)	47 (47–47)	61 (54–72)	< 0.001
Sample type
Pleural effusion	10	2 (20.0)	8 (80.0)
Cytopathology
Positive	5	2 (40.0)	3 (60.0)	0.444
Negative	5	0	5 (100)
Clinical subtype
HR+	2	0	2 (100)	0.289
HR+ HER2+	3	0	3 (100)
HER2+	1	1 (100)	0
TNBC	4	1 (25.0)	3 (75.0)
Ki67 index (%)
< 14	2	0	2 (100)	> 0.99
≥14	7	2 (28.6)	5 (71.4)
N/A	1	0	1 (100)

Values are presented as number (%) unless otherwise indicated. HER2, human epidermal growth factor receptor 2; HR, hormone receptor; N/A, not available; TNBC, triple-negative breast cancer.

Table 1 Patient characteristics

Values are presented as number (%) unless otherwise indicated. N/A, not available.

Table 2 Patient characteristics of pancreatic cancer

Values are presented as number (%) unless otherwise indicated. N/A, not available.

Table 3 Patient characteristics of gastric cancer

Values are presented as number (%) unless otherwise indicated. HER2, human epidermal growth factor receptor 2.

Table 4 Patient characteristics of breast cancer

Values are presented as number (%) unless otherwise indicated. HER2, human epidermal growth factor receptor 2; HR, hormone receptor; N/A, not available; TNBC, triple-negative breast cancer.