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Completed

NCT Number: NCT05623748

Establishment and Application of 3-Dimensional (3-D) Cell Culture Model of Clinical Circulating Tumor Cells (CTCs)

The goal of this observational study is to validate and evaluate the clinical feasibility of using a 3-D cell culture model for CTCs isolation/purification and their cell number expansion in cancer patient with transitional cell carcinoma and patient without cancer.

This project first aims to study the clinical feasibility of utilizing a 3-D cell culture model for the isolation/purification of all possible CTCs in a blood sample in a label-free, viable, and high-purity manner. Through 3-D CTC culture, moreover, the cell number of CTCs can be adequately expanded. All these advantageous features are beyond what is currently possible by using the existing methods. In addition, the harvest of CTCs with above features is found valuable for the subsequent academic researches or clinical studies (e.g. molecular mechanisms underlying cancer metastasis, cancer-related gene mutation, biomarker discovery, and particularly CTCs-based chemotherapy drug testing). These could both facilitate and accelerate scientists to develop new therapeutic solutions for future cancer care.

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Key information

Age range

20 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Chang Gung Memorial Hospital

New Taipei City, 236, Taiwan

About this study

Circulating tumor cells (CTCs), the rare cell species present in the blood, are considered to mainly contribute to cancer metastasis or relapse. Thus, the detection of CTCs is regarded as an essential clinical tool to detect metastatic cancer. Moreover, CTCs can be the therapeutic target of metastatic cancer care. Therefore, the use of viable CTCs as a biopsy to select therapeutic regimens (e.g. CTCs-based anti-cancer drug testing) opens up a promising route to realize personalized cancer therapy. With the recent advances in cell isolation or detection techniques, various novel approaches have been actively proposed to isolate/detect CTCs. Nevertheless, most of current methods might not be able to obtain the all possible, viable, and label-free CTCs with adequate cell purity and cell number for the subsequent CTCs-based anti-cancer drug testing or other bioassays. To tackle the above technical hurdles, the research project proposes the use of a specific 3-D cell culture technique for the isolation/purification, and cell number expansion of CTCs.

The working principle is based on our preliminary findings showing that the human leukocytes will die away in 3-D cell culture condition, whereas the CTCs will tend to aggregate and proliferate in such environment. Based on this phenomenon, the 3-D CTC cell culture can be used to isolate and purify the viable CTCs from the leukocyte background in a negative selection, and label-free manner, enabling the harvest of the all possible CTCs in a blood sample. Furthermore, the proliferation of CTCs in such 3-D cell culture can adequately expand the cell number of CTCs for the subsequent applications, which is currently impossible using the existing methods.

In the 1st year research project, investigators will further validate and evaluate the clinical feasibility of using a 3-D cell culture model for CTCs isolation/purification and their cell number expansion. In the 2nd and 3rd year research project, investigators will optimize the 3-D cell culture model so as to increase the performances of CTC isolation/purification and proliferation. In the optimization process, investigators will explore the effect of cell culture model (e.g. static or perfusion cell culture, and 3-D cell culture using different 3-D scaffolding materials) or biochemical factors (e.g. glucose concentration, serum concentration, pH, or the supplements of growth factors/cytokines) on the the performances of CTC solation/purification and proliferation. As a whole, investigators hope the proposed research project can find out an efficient and effective approach to isolate/purify/expand clinical CTCs in a viable, label-free, and high-purity manner. These harvested CTCs are valuable for the subsequent analytical tasks.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • patients who agreed with the content of informed consent of the study protocol
  • patients who agreed the researcher to review the medical record
  • adults >20 years old
  • Patients have the right to asked withdrawing from the trial at any timepoints
  • meet the following requirements (1)cancer participants:cancer patients with transitional cell carcinoma (2)healthy participants:participants without cancer

Exclusion criteria

  • Patients who refused the collection of blood and the reviewing of medical record
  • The investigators suggest to withdraw

Treatment and study plan

CTCs isolation/purification and cell number expansion

Procedure

In the 1st year research project, investigators will further validate and evaluate the clinical feasibility of using a 3-D cell culture model for CTCs isolation/purification and their cell number expansion. In the 2nd and 3rd year research project, investigators will optimize the 3-D cell culture model so as to increase the performances of CTC isolation/purification and proliferation. In the optimization process, investigators will explore the effect of cell culture model (e.g. static or perfusion cell culture, and 3-D cell culture using different 3-D scaffolding materials) or biochemical factors (e.g. glucose concentration, serum concentration, pH, or the supplements of growth factors/cytokines) on the the performances of CTC isolation/purification and proliferation.

Primary outcomes

  1. the effect of cell culture model for the Cell viability

    Time frame: baseline

    optimize the 3-D cell culture model to measure the Cell viability

  2. the effect of cell culture model for the Cell viability

    Time frame: 3 month

    optimize the 3-D cell culture model to measure the Cell viability

  3. the effect of cell culture model for the Cell viability

    Time frame: 6 month

    optimize the 3-D cell culture model to measure the Cell viability

  4. the effect of cell culture model for the Cell number

    Time frame: baseline

    optimize the 3-D cell culture model to measure the Cell number

  5. the effect of cell culture model for the Cell number

    Time frame: 3 month

    optimize the 3-D cell culture model to measure the Cell number

  6. the effect of cell culture model for the Cell number

    Time frame: 6 month

    optimize the 3-D cell culture model to measure the Cell number

Secondary outcomes

  1. the effect of biochemical factors for glucose concentration

    Time frame: baseline, pre-intervention

    investigate the effect of of biochemical factors to measure glucose concentration

  2. the effect of biochemical factors for glucose concentration

    Time frame: 3 month

    investigate the effect of of biochemical factors to measure glucose concentration

  3. the effect of biochemical factors for glucose concentration

    Time frame: 6 month

    investigate the effect of of biochemical factors to measure glucose concentration

  4. the effect of biochemical factors for the serum concentration of growth factors/cytokines

    Time frame: baseline, pre-intervention

    investigate the effect of of biochemical factors to measure the serum concentration of growth factors/cytokines

  5. the effect of biochemical factors for the serum concentration of growth factors/cytokines

    Time frame: 3 month

    investigate the effect of of biochemical factors to measure the serum concentration of growth factors/cytokines

  6. the effect of biochemical factors for the serum concentration of growth factors/cytokines

    Time frame: 6 month

    investigate the effect of of biochemical factors to measure the serum concentration of growth factors/cytokines

  7. the effect of biochemical factors for the serum pH

    Time frame: baseline

    investigate the effect of of biochemical factors to measure the serum pH

  8. the effect of biochemical factors for the serum pH

    Time frame: 3 month

    investigate the effect of of biochemical factors to measure the serum pH

  9. the effect of biochemical factors for the serum pH

    Time frame: 6 month

    investigate the effect of of biochemical factors to measure the serum pH

Sponsors and collaborators

Lead sponsor

Chang Gung Memorial Hospital

Other

Registry information

Important dates

Study start
2021
Primary completion
2025
Study completion
2025
First posted
Nov 21, 2022
Registry last updated
Sep 24, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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