Lung CancerOrganoids lungNCT04859166
Prospective Primary Human Lungcancer Organoids to Predict Treatment Response
An observational study of Lung Cancer, run by Maastricht Radiation Oncology at 2 sites in Netherlands.
Trial summary
Organoids are generated from tumor biopsies, taken during a standard procedure. and are a collection of organ-specific cell types that are able to self-organize in-vitro in a manner similar to the in-vivo situation (3D). Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Lung Cancer
- What is being tested?
- Organoids
- Type of treatment
- Surgery or procedure
- How many people
- 10 participants
- Where
- 2 sitesNetherlands
- Study dates
- 15 Nov 2017to 1 Oct 2022
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: In a one year period,30 patients who are selected to undergo surgical removal of a primary lung cancer will be included. The tumor material that will be used to make organoids will be derived from 'left-over' tumor tissue that is not needed for the pathologist to make a diagnosis, to stage the patient or to perform a molecular diagnosis. The patient therefore does not require to undergo additional treatments or procedures.
Who may be able to join
- Undergo primary surgical resection of a primary lung cancer (e.g. wedge resection, segmental resection, lobectomy, pneumonectomy)
Who cannot join
- Preceding induction treatment (e.g. induction chemotherapy or chemo-radiotherapy)
Trial locations and contacts
2 sites in 1 country.
Netherlands2 sites
Zuyderland Medical Center
Heerlen, 6419 PC
Maastro
Maastricht, 6229 ET
About this study
Organoids are generated from tumor biopsies, taken during a standard procedure. and are a collection of organ-specific cell types that are able to self-organize in-vitro in a manner similar to the in-vivo situation (3D). They have the capability to facilitate in-depth analysis of patient's own tumor material at point of diagnosis and during progressive/recurrent disease. There is currently no published protocol to establish long-term lung cancer organoids from lung cancer patients. Such a methodology would enable the prospective identification of 'patient tailored optimal treatments" as well as the derivation of predictive biomarkers for response and relapse. Apart from organoids, xenograft models also still have their merits. To generate PDX, tumor material will be retrieved from surgical specimens, cut in small pieces, transplanted in the recipient immune deficient animals either subcutaneously or implanted directly into the lung. A tumor with the median growth rate will be serially transplanted in vivo for further therapeutic experiments. Dedicated small animal irradiaton in our facility enables precise local irradiation of lung tumors with minimal radiation exposure of the surrounding normal tissues. Integrated cone beam computed tomography imaging system allows longitudinal monitoring of tumor response to novel treatments.
Read the detailed description
One of the most important barriers to achieve durable responses in advanced lung cancer is intra- and inter-tumor heterogeneity, a common feature of human solid cancers. Tumor heterogeneity is thought to be driven by a subpopulation of tumor cells termed lung cancer initiating cells or lung cancer stem cells that reflect the 'cell or origin" and maintain self-renewaland multipotent properties of these cells but that are transformed. Organoid technology has enabled the culturing of normal and transformed 'stem cells" directly from patients without any genetic manipulation (i.e.IPS). Such normal and cancer organoids maintain many of the properties of the tumors and are thought to be an excellent in vitro 3D model system. In a lab, investigators have successfully established primary 2D and 3D cell culture systems including organoids from the proximal bronchus coming from lobectomies. They are using these systems to predict normal tissue complication to combination treatments. It has been demonstrated that lung stem cell pathways such as the NOTCH signaling pathway are frequently deregulated in lung cancers and is associated with a worse outcome. In vitro and in preclinical models deregulation of the NOTCH pathway is associated with resistance to radiotherapy and first-line chemotherapy. Thus blocking the NOTCH pathway may improve treatment response. Checkpoint inhibitors have changed the outcome of patients with metastatic non-small cell lung cancer (NSCLC) in first and in second line, with improved progression-free survival (PFS), overall survival (OS) and quality of life. Radiotherapy has consistently been shown to activate key elements of the immune system that are responsible for resistance for immune therapy. Radiation upregulates MHC-class I molecules that many cancer cells lack or only poorly express, tumor-associated antigens, provokes immunogenic cell death, activates dendritic cells, decreases regulatory T-cells (Tregs) in the tumor, broadens the T-cell repertoire and increases T-cell trafficking, amongst many other effects. Radiation may convert a completely or partly poorly or non-immunogenic tumor immunogenic. Radiotherapy in combination with different forms of immune therapy such as anti-PD-(L)1, anti-CTLA4, immunocytokines, dendritic cell vaccination and Toll-like receptor agonists improved consistently local tumor control and very interestingly, lead to better systemic tumor control (the "abscopal" effect) and the induction of specific anti-cancer immunity with a memory effect. Moreover, as PD1/PD-L1 is upregulated by radiation and radiation can overcome resistance for PD-(L)1 blockage, their combination is logical. The best timing, sequencing and dosing of all modalities is a matter of intense research. Radiotherapy may well become an integral part of immune therapy against cancer. Nevertheless, as with all treatments, optimal biomarkers for response are lacking. They would not only allow patient selection, but would also give insight in resistance mechanisms and the identification of new targets or the optimal use of current medications and radiation, such as dosing and sequencing. Moreover, not only biomarkers for tumor response, but also for side effects are needed, for the latter may be dose-limiting and result in the omission of therapy in the more frail and older patient population. Putative biomarkers for immune response are those associated with immunogenic cell death (ICD). Organoids are generated from tissue biopsies, and are a collection of organ-specific cell types that are able to self-organize in-vitro in a manner similar to the in-vivo situation (3D). They have the capability to facilitate in-depth analysis of patient's own tumor material at point of diagnosis and during progressive/recurrent disease. There is currently no published protocol to establish long-term lung cancer organoids from lung cancer patients. Such a methodology would enable the prospective identification of 'patient tailored optimal treatments" as well as the derivation of predictive biomarkers for response and relapse. Apart from organoids, xenograft models also still have their merits. In xenografts, human tumor cells or pieces are injected in immunocompromised mice. Especially xenografts derived from fresh human cancer specimen have gained much attention for the same tumor as in an individual patient can be grown in a mice allowing to study the response to therapy and the mechanisms of resistance. Patient-derived tumor xenograft (PDX) models are more reflective of patient population in terms of the parental tumors' histomorphological characteristics, the effect of clonal selection and evolution on maintaining genomic integrity in low-passage PDXs compared to the donor tissue. While organoids can give many insights into molecular biology of the response to various anti-cancer therapies, in vivo models allow testing novel anti-cancer therapeutic approaches taking complex tumor microenvironment into account reflecting at least in part clinical situation. As a clinically representative tool that best recapitulates the biological properties of their respective tumor type, PDX models could serve as an important aid in personalized medicine studies as well. The tumor can be transplanted subcutaneously, but more recently also orthotopically (e.g. a breast cancer is transplanted in the breast of a mouse) to investigate the interaction between the tumor and the environment. In Maastro lab, we have experience with a variety of these models including orthotopic lung tumor models. To generate PDX, tumor material will be retrieved from surgical specimens, cut in small pieces, transplanted in the recipient immune deficient animals either subcutaneously or implanted directly into the lung. A tumor with the median growth rate will be serially transplanted in vivo for further therapeutic experiments. Dedicated small animal irradiator in the investigators facility enables precise local irradiation of lung tumors with minimal radiation exposure of the surrounding normal tissues. Integrated cone beam computed tomography imaging system allows longitudinal monitoring of tumor response to novel treatments.
- Conditions
- Lung Cancer
- Being tested
- Organoids
- Keywords
- Organoids, Lung, Cancer
- Medical subject headings
- Lung Neoplasms, Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
OrganoidsProcedure or surgery
A part of the tumor of approximately 1 cm3 will be removed from the primary tumor.
What is being measured
The primary outcome is the main question the study is designed to answer.
Bio-banking
To establish long term culturing and bio-banking conditions for primary lung cancer organoids.
Measured: 5 years
Frequency of organoid formation
To determine the frequency of primary, secondary and tertiary organoid formation
Measured: 5 years
Distribution
The size distribution of the organoids
Measured: 5 years
Proliferation
The rate of proliferation and cell death (turnover) will be calculated
Measured: 5 years
PDX models of lung cancer
To establish PDX models of lung cancer by means of passaging and expansion through subcutaneous engraftment in immune deficient animals and create PDX tumor bank for subsequent experiments
Measured: 5 years
Established PDX histologically
To characterize established PDX histologically and to compare these characteristics with donor tissue
Measured: 5 years
Established PDX genetically
To characterize established PDX genetically (most frequently occurring driver mutations in lung cancer) and to compare these characteristics with donor tissue
Measured: 5 years
Established PDX biologically
To characterize established PDX biologically (proliferation, tumor microenvironment, etc.) and to compare these characteristics with donor tissue
Measured: 5 years
Test treatments
Using PDX models to test novel anti-cancer treatments such as a hypoxia-activated prodrug (HAP) in combination with radiation
Measured: 5 years
Test treatments
Using PDX models to develop predictive assay of tumor response to HA
Measured: 5 years
Secondary outcomes (2)
Test hypotheses
The organoids will be used to test hypotheses such as epi-genetic stability, response to targeted and cytotoxic therapies
Measured: 5 years
Generate cell lines
Use the PDX to generate cancer cell lines for in vitro assays to test intrinsic sensitivity of cells to HAPs and other drugs in 2D and 3D settings
Measured: 5 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Apr 2021
- Study start15 Nov 2017
- Primary completion1 Oct 2022
- Study completion1 Oct 2022
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Lung CancerStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 10 participants (actual)
Sponsor and investigators
- Lead sponsor
- Maastricht Radiation Oncology
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Marc Vooijs, MD, PhD, Principal investigator, Maastro
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04859166
- Sponsor's protocol ID
- Organoids lung
- Acronym
- Organoids lung
- Status last verified
- Mar 2023
- First submitted
- 15 Apr 2021
- Last updated
- 15 Mar 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 15 Mar 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Prospective Primary Human Lungcancer Organoids to Predict Treatment Response
- ClinicalTrials.gov ID
- NCT04859166
- Acronym / sponsor ID
- Organoids lung / Organoids lung
- Conditions
- Lung Cancer
- Keywords
- Organoids, Lung, Cancer
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 10 participants (actual)
- Lead sponsor
- Maastricht Radiation OncologyUniversity, hospital or other
- Study start
- 15 Nov 2017 (actual)
- Primary completion
- 1 Oct 2022 (actual)
- Study completion
- 1 Oct 2022 (actual)
- First posted
- 26 Apr 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Organoids are generated from tumor biopsies, taken during a standard procedure. and are a collection of organ-specific cell types that are able to self-organize in-vitro in a manner similar to the in-vivo situation (3D). They have the capability to facilitate in-depth analysis of patient's own tumor material at point of diagnosis and during progressive/recurrent disease. There is currently no published protocol to establish long-term lung cancer organoids from lung cancer patients. Such a methodology would enable the prospective identification of 'patient tailored optimal treatments" as well as the derivation of predictive biomarkers for response and relapse. Apart from organoids, xenograft models also still have their merits. To generate PDX, tumor material will be retrieved from surgical specimens, cut in small pieces, transplanted in the recipient immune deficient animals either subcutaneously or implanted directly into the lung. A tumor with the median growth rate will be serially transplanted in vivo for further therapeutic experiments. Dedicated small animal irradiaton in our facility enables precise local irradiation of lung tumors with minimal radiation exposure of the surrounding normal tissues. Integrated cone beam computed tomography imaging system allows longitudinal monitoring of tumor response to novel treatments.
Detailed description
One of the most important barriers to achieve durable responses in advanced lung cancer is intra- and inter-tumor heterogeneity, a common feature of human solid cancers. Tumor heterogeneity is thought to be driven by a subpopulation of tumor cells termed lung cancer initiating cells or lung cancer stem cells that reflect the 'cell or origin" and maintain self-renewaland multipotent properties of these cells but that are transformed. Organoid technology has enabled the culturing of normal and transformed 'stem cells" directly from patients without any genetic manipulation (i.e.IPS). Such normal and cancer organoids maintain many of the properties of the tumors and are thought to be an excellent in vitro 3D model system. In a lab, investigators have successfully established primary 2D and 3D cell culture systems including organoids from the proximal bronchus coming from lobectomies. They are using these systems to predict normal tissue complication to combination treatments. It has been demonstrated that lung stem cell pathways such as the NOTCH signaling pathway are frequently deregulated in lung cancers and is associated with a worse outcome. In vitro and in preclinical models deregulation of the NOTCH pathway is associated with resistance to radiotherapy and first-line chemotherapy. Thus blocking the NOTCH pathway may improve treatment response. Checkpoint inhibitors have changed the outcome of patients with metastatic non-small cell lung cancer (NSCLC) in first and in second line, with improved progression-free survival (PFS), overall survival (OS) and quality of life. Radiotherapy has consistently been shown to activate key elements of the immune system that are responsible for resistance for immune therapy. Radiation upregulates MHC-class I molecules that many cancer cells lack or only poorly express, tumor-associated antigens, provokes immunogenic cell death, activates dendritic cells, decreases regulatory T-cells (Tregs) in the tumor, broadens the T-cell repertoire and increases T-cell trafficking, amongst many other effects. Radiation may convert a completely or partly poorly or non-immunogenic tumor immunogenic. Radiotherapy in combination with different forms of immune therapy such as anti-PD-(L)1, anti-CTLA4, immunocytokines, dendritic cell vaccination and Toll-like receptor agonists improved consistently local tumor control and very interestingly, lead to better systemic tumor control (the "abscopal" effect) and the induction of specific anti-cancer immunity with a memory effect. Moreover, as PD1/PD-L1 is upregulated by radiation and radiation can overcome resistance for PD-(L)1 blockage, their combination is logical. The best timing, sequencing and dosing of all modalities is a matter of intense research. Radiotherapy may well become an integral part of immune therapy against cancer. Nevertheless, as with all treatments, optimal biomarkers for response are lacking. They would not only allow patient selection, but would also give insight in resistance mechanisms and the identification of new targets or the optimal use of current medications and radiation, such as dosing and sequencing. Moreover, not only biomarkers for tumor response, but also for side effects are needed, for the latter may be dose-limiting and result in the omission of therapy in the more frail and older patient population. Putative biomarkers for immune response are those associated with immunogenic cell death (ICD). Organoids are generated from tissue biopsies, and are a collection of organ-specific cell types that are able to self-organize in-vitro in a manner similar to the in-vivo situation (3D). They have the capability to facilitate in-depth analysis of patient's own tumor material at point of diagnosis and during progressive/recurrent disease. There is currently no published protocol to establish long-term lung cancer organoids from lung cancer patients. Such a methodology would enable the prospective identification of 'patient tailored optimal treatments" as well as the derivation of predictive biomarkers for response and relapse. Apart from organoids, xenograft models also still have their merits. In xenografts, human tumor cells or pieces are injected in immunocompromised mice. Especially xenografts derived from fresh human cancer specimen have gained much attention for the same tumor as in an individual patient can be grown in a mice allowing to study the response to therapy and the mechanisms of resistance. Patient-derived tumor xenograft (PDX) models are more reflective of patient population in terms of the parental tumors' histomorphological characteristics, the effect of clonal selection and evolution on maintaining genomic integrity in low-passage PDXs compared to the donor tissue. While organoids can give many insights into molecular biology of the response to various anti-cancer therapies, in vivo models allow testing novel anti-cancer therapeutic approaches taking complex tumor microenvironment into account reflecting at least in part clinical situation. As a clinically representative tool that best recapitulates the biological properties of their respective tumor type, PDX models could serve as an important aid in personalized medicine studies as well. The tumor can be transplanted subcutaneously, but more recently also orthotopically (e.g. a breast cancer is transplanted in the breast of a mouse) to investigate the interaction between the tumor and the environment. In Maastro lab, we have experience with a variety of these models including orthotopic lung tumor models. To generate PDX, tumor material will be retrieved from surgical specimens, cut in small pieces, transplanted in the recipient immune deficient animals either subcutaneously or implanted directly into the lung. A tumor with the median growth rate will be serially transplanted in vivo for further therapeutic experiments. Dedicated small animal irradiator in the investigators facility enables precise local irradiation of lung tumors with minimal radiation exposure of the surrounding normal tissues. Integrated cone beam computed tomography imaging system allows longitudinal monitoring of tumor response to novel treatments.
Study design
- Observational model
- Other
- Time perspective
- Prospective
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- In a one year period,30 patients who are selected to undergo surgical removal of a primary lung cancer will be included. The tumor material that will be used to make organoids will be derived from 'left-over' tumor tissue that is not needed for the pathologist to make a diagnosis, to stage the patient or to perform a molecular diagnosis. The patient therefore does not require to undergo additional treatments or procedures.
Key inclusion criteria (1 listed)
- Undergo primary surgical resection of a primary lung cancer (e.g. wedge resection, segmental resection, lobectomy, pneumonectomy)
Key exclusion criteria (1 listed)
- Preceding induction treatment (e.g. induction chemotherapy or chemo-radiotherapy)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| OrganoidsA part of the tumor of approximately 1 cm3 will be removed from the primary tumor. | Procedure or surgery | – |
Primary outcome
Bio-banking
Time frame: 5 years
To establish long term culturing and bio-banking conditions for primary lung cancer organoids.
Frequency of organoid formation
Time frame: 5 years
To determine the frequency of primary, secondary and tertiary organoid formation
Distribution
Time frame: 5 years
The size distribution of the organoids
Proliferation
Time frame: 5 years
The rate of proliferation and cell death (turnover) will be calculated
PDX models of lung cancer
Time frame: 5 years
To establish PDX models of lung cancer by means of passaging and expansion through subcutaneous engraftment in immune deficient animals and create PDX tumor bank for subsequent experiments
Established PDX histologically
Time frame: 5 years
To characterize established PDX histologically and to compare these characteristics with donor tissue
Established PDX genetically
Time frame: 5 years
To characterize established PDX genetically (most frequently occurring driver mutations in lung cancer) and to compare these characteristics with donor tissue
Established PDX biologically
Time frame: 5 years
To characterize established PDX biologically (proliferation, tumor microenvironment, etc.) and to compare these characteristics with donor tissue
Test treatments
Time frame: 5 years
Using PDX models to test novel anti-cancer treatments such as a hypoxia-activated prodrug (HAP) in combination with radiation
Test treatments
Time frame: 5 years
Using PDX models to develop predictive assay of tumor response to HA
2 secondary outcomes
Test hypotheses
Time frame: 5 years
Generate cell lines
Time frame: 5 years
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Mar 2023.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Marc Vooijs, MD, PhD principal investigator
Maastro
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Lung Cancer, run by Maastricht Radiation Oncology at 2 sites in Netherlands.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 15 Mar 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Netherlands. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Bio-banking (time frame: 5 years). The study lists 10 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Mar 2023.