Solid TumorNCT05585684
Liquid Biopsy-informed Precision Oncology Study to Evaluate Utility of Plasma Genomic Profiling for Therapy Selection
An observational study of Solid Tumor, run by Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins at 1 site in United States.
Trial summary
Overall, this project has three main goals: first, to ascertain the feasibility of the approach and identify whether liquid biopsies can detect actionable mutations that can be utilized to generate precision oncology treatment recommendations. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Solid Tumor
- What is being tested?
- Non-invasive Comprehensive Genomic Profiling for Cancer Treatment Selection
- How many people
- 150 participants
- Where
- 1 siteUnited States
- Study dates
- 27 Jan 2023to Sep 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
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 18 years and older
- All sexes
- Adult, Older adult
Study population: Patients with solid tumors, including esophageal cancer, non-adenocarcinoma NSCLC, small-cell lung cancer, head \& neck cancer, mesothelioma, breast cancer and lung neuroendocrine cancer.
Who may be able to join
- ECOG performance status of 0-1.
- Patients with solid tumors, including esophageal cancer, non-adenocarcinoma NSCLC, small-cell lung cancer, head \& neck cancer, mesothelioma, breast cancer and lung neuroendocrine cancer.
- Patients who can provide whole blood collection to meet minimum of 20-30ml of blood at baseline, within 1-3 weeks from treatment initiation, at first radiographic imaging and at progression. Acquisition of an archival or time-matched tumor tissue specimen which meets the minimum sample input requirements (at least 20% tumor content and 100 ng) is preferred but not required.
- Patients with metastatic disease will have progressed on the most recent treatment prior to enrollment. Patient can also be enrolled if their oncologist believes progression is imminent and test results would be used to inform next line of therapy. Patients considered for first-line SOC therapeutic options may be enrolled if the clinical efficacy of these therapies is not encouraging.
- Patients must have disease evaluable for progression assessment; measurable disease is not required to participate in the study.
- Able to voluntarily provide informed consent.
Who cannot join
- Women who are known to be pregnant
- History of another primary malignancy in the last 5 years prior to registration unless approved by the Protocol Chair/designee. Patients with prior history of in situ cancer or basal or localized squamous cell skin cancer are eligible.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site, 1 recruiting
- Recruiting
Johns Hopkins University
Baltimore, Maryland, 21287
Valsamo Anagnostou, MD, PhD, 410-955-8964, ThoracicCancerTrials@jhmi.edu
About this study
Official title: Liquid Biopsy-informed Precision Oncology Study to Evaluate the Clinical Utility of Non-invasive Comprehensive Genomic Profiling for Cancer Treatment Selection
Overall, this project has three main goals: first, to ascertain the feasibility of the approach and identify whether liquid biopsies can detect actionable mutations that can be utilized to generate precision oncology treatment recommendations. Second, the investigators will investigate whether enacting upon MTB recommendations would improve outcomes in terms of progression-free and overall survival. Third, the investigators aim to determine if molecular profiling via serial plasma tests after initiation of chemotherapy or other targeted treatment is sufficient to determine whether or not a patient is responding to therapy.
Read the detailed description
- Quality assurance plan that addresses data validation and registry procedures, including any plans for site monitoring and auditing. All information will be collected on study-specific case report forms (CRFs) hosted in Redcap and/or directly entered into a study database. The following measures will be taken to protect patient information:
- The database will be password protected; only authorized staff may enter and view project data.
- Passwords and system IDs will not be shared.
- Physical security of the workstations/files will be maintained. Workstations with the database open will not be left unattended.
- Staff will be trained on the data entry system and on security procedures.
- The study data will be reviewed/monitored by the Sidney Kimmel Comprehensive Cancer Center Clinical Research Office and the Cancer Center Safety committee.
- Data checks to compare data entered into the registry against predefined rules for range or consistency with other data fields in the registry. Data checks will be performed per SKCCC SOP DM-01-04 CRF Documentation Standards. Case Report Form (CRF): A printed, optical, or electronic document designed to record all of the protocol-required information to be reported to the sponsor on each trial subject. ICH GCP 1.11 Source Documents: Original documents, data, and records (e.g., hospital records, clinical and office charts, laboratory notes, memoranda, subjects' diaries or evaluation checklists, pharmacy dispensing records, recorded data from automated instruments, copies or transcriptions certified after verification as being accurate and complete, microfiches, photographic negatives, microfilm or magnetic media, x-rays, subject files, and records kept at the pharmacy, at the laboratories, and at the medicotechnical departments involved in the clinical trial). ICH GCP 1.52
- Source data verification to assess the accuracy, completeness, or representativeness of registry data by comparing the data to external data sources (for example, medical records, paper or electronic case report forms, or interactive voice response systems). All study data will be reviewed for completeness and accuracy by the Protocol Chair who will ensure the completeness and accuracy of the data generated. The designated research coordinator(s) participating in this project will collect clinical information associated with each participant. Such data could include, but is not limited to: medical record number, age, sex, treatment history, circulating tumor markers, tumor size, tumor grade, tumor receptor status, pathology report, smoking history, hormonal history, concomitant medications, and parity. Such information will be retrieved from existing clinical databases/EMR (e.g., EPIC) and patient questionnaire information, and may also include electronic scheduling and prescription systems. Follow-up information will be collected by review of the medical records. In addition, participants may be reached by phone to help with any questions or clarifications, or additional follow-up requirements.
- Data dictionary that contains detailed descriptions of each variable used by the registry, including the source of the variable, coding information if used (for example, World Health Organization Drug Dictionary, MedDRA), and normal ranges if relevant. Source for data dictionary is included in Botsis et al., JCO CCI, 2023, in press.
- Standard Operating Procedures to address registry operations and analysis activities, such as patient recruitment, data collection, data management, data analysis, reporting for adverse events, and change management. These activities will be carried out in compliance with the study protocol and Good Clinical Practice principles. Information regarding study conduct and progress will be reported to our local Institutional Review Board (IRB) per current institutional standards. The study will undergo routine annual review as per current institutional standards.
- Sample size assessment to specify the number of participants or participant years necessary to demonstrate an effect. We will recruit 150 patients with solid tumors including non-adenocarcinoma NSCLC, small-cell lung cancer, neuroendocrine lung cancer, mesothelioma, esophageal cancer, breast cancer and head and neck cancer. Based on the liquid biopsy assay's analytical performance we expect to detect tumor-specific mutations in >85% of the individuals. We expect to complete the accrual in 1.5 years. The analysis is primarily descriptive for this feasibility study. A sample size of 150 patients will provide reasonable confidence around the observed estimate of proportions, e.g. percent of patients with variants of clinical significance. The width of 95% confidence interval will be narrower than 16.5%.
- Plan for missing data to address situations where variables are reported as missing, unavailable, non-reported, uninterpretable, or considered missing because of data inconsistency or out-of-range results. Missing data will be excluded from downstream analyses.
- Statistical analysis plan describing the analytical principles and statistical techniques to be employed in order to address the primary and secondary objectives, as specified in the study protocol or plan.
- Analysis of Primary Objectives: The primary objectives are to determine the number and prevalence of variants with clinical significance across different levels of evidence (stratified by gene and alteration type), as described above and to determine the percentage of patients with an MTB treatment recommendation accordingly. Descriptive analysis will be performed to estimate the percentage of patients that harbor variants with clinical significance detected in ctDNA samples, along with 95% confidence intervals. The percentage of patients with an MTB treatment recommendation tailored to an actionable alteration according to the mutation profiles detected by liquid biopsies, and percentage of patients treated according to MTB recommendation will be estimated. The days from collection of liquid biopsies to MTB recommendation, and days from MTB recommendation to treatment initiation will be summarized by mean, median, standard deviation and range. We plan to summarize the data after every 30 patients.
- Analysis of Secondary Objectives:
Time to subsequent cancer therapy is the time from initiation of treatment to the start of next cancer therapy according to treating physician's decision. Progression-free survival (PFS) is the time from initiation of therapy to radiographic progression per RECIST, clinical progression or worsening disease per treating physician's assessment. Overall survival (OS) is the time from initiation of therapy to death due to any cause. PFS and OS will be characteristics by Kaplan-Meier method, among patients who do and do not have an MTB recommendation, and for patients who do and do not receive recommended treatment.
Descriptive analysis will be performed to report the frequency of MTB-based treatment recommendations by therapeutic class (standard of care, clinical trial, off-label use), and the deviations from treatment recommendations and reasons (clinical deterioration, other protocol, patient ineligible, off-label treatment unavailable, clinical trial not feasible (e.g. physical distance), clinical trial not recruiting, physician's decision, patient's choice, etc.) The concordance of detected alterations obtained through liquid biopsy analyses at baseline compared to time-matched or archival tissue specimens will be summarized and quantified using Kappa statistics.
Descriptive analyses will also be performed to determine the cell-free DNA yield and ctDNA amount by tumor type obtained through liquid biopsy analyses. Additionally, the assay success rate by tumor type and by pre-analytical variables will be performed across minimum technical data elements, including:
- Blood collection tube type
- Sample composition
- Shipping temperature
- Blood fractionalization method
- Time to fractionation
- Analyte isolation method
- Time to freezer
- Storage temperature
- Concentration: cellular concentration or molecular concentration
- Assay method
- Time to assay
- Conditions
- Solid Tumor
- Being tested
- Non-invasive Comprehensive Genomic Profiling for Cancer Treatment Selection
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Non-invasive Comprehensive Genomic Profiling for Cancer Treatment SelectionOther
Use of liquid biopsy to evaluate the clinical utility of non-invasive comprehensive genomic profiling for cancer treatment selection.
| Study group | Role | What they receive |
|---|---|---|
| Oncology Patients | All participants in the study. Receives: Other: Non-invasive Comprehensive Genomic Profiling for Cancer Treatment Selection |
What is being measured
The primary outcome is the main question the study is designed to answer.
Prevalence of variants in ctDNA with clinical significance across different levels of evidence
To determine the prevalence of variants in ctDNA with clinical significance across different levels of evidence (stratified by gene and alteration type). In cases where tumor next-generation sequencing has been performed, tumor mutational profiles will be evaluated in conjunction with the liquid biopsy results.
Measured: Up to 2 years after enrollment
Percentage of patients with a molecular tumor board (MTB) treatment recommendation
To determine the percentage of patients with a molecular tumor board (MTB) treatment recommendation tailored to an actionable alteration according to the mutation profiles detected by liquid biopsies.
Measured: Up to 2 years after enrollment
Percentage of patients treated according to MTB recommendation
To determine percentage of patients treated according to MTB recommendation.
Measured: Up to 2 years after enrollment
Turnaround time from collection of liquid biopsy to MTB recommendation
To determine turnaround time from collection of liquid biopsy to MTB recommendation.
Measured: Up to 2 years after enrollment
Time from MTB recommendation to treatment initiation
To determine the time from MTB recommendation to treatment initiation.
Measured: Up to 2 years after enrollment
Secondary outcomes (13)
Time to cancer therapy for patients who are treated according to MTB recommendation
To determine time to subsequent cancer therapy for patients who are treated according to MTB recommendation.
Measured: Up to 2 years after enrollment
Time to cancer therapy for patients who are not treated according to MTB recommendation
To determine time to subsequent cancer therapy for patients who are not treated according to MTB recommendation.
Measured: Up to 2 years after enrollment
Progression free-survival of patients who are treated according to the MTB recommendations
To determine the progression free-survival of patients who are treated according to the MTB recommendations.
Measured: Up to 2 years after enrollment
Progression free-survival of patients who are not treated according to the MTB recommendations
To determine the progression free-survival of patients who are not treated according to the MTB recommendations.
Measured: Up to 2 years after enrollment
Overall survival of patients who do receive treatment according to the MTB recommendations
To determine the overall survival of patients who do receive treatment according to the MTB recommendations.
Measured: Up to 2 years after enrollment
Overall survival of patients who do not receive treatment according to the MTB recommendations
To determine the overall survival of patients who do not receive treatment according to the MTB recommendations.
Measured: Up to 2 years after enrollment
MTB-based treatment recommendations stratified by therapeutic class
To determine MTB-based treatment recommendations stratified by therapeutic class (SOC, clinical trials, off-label use).
Measured: Up to 2 years after enrollment
Proportion of deviations from treatment recommendations
To determine the proportion of deviations from treatment recommendations.
Measured: Up to 2 years after enrollment
Reasons for deviations from treatment recommendations
To determine the reasons (clinical deterioration, other protocol, patient ineligible, off-label treatment unavailable, clinical trial not feasible (e.g. physical distance), clinical trial not recruiting, physician's decision, patient's choice, etc.) for deviations from treatment recommendations.
Measured: Up to 2 years after enrollment
Concordance of detected alterations obtained through liquid biopsy analyses
To determine the concordance of detected alterations obtained through liquid biopsy analyses at baseline compared to next generation sequencing of time-matched or archival tissue specimens.
Measured: Up to 2 years after enrollment
cfDNA yield obtained
To determine the cfDNA yield obtained through liquid biopsy analyses by tumor type.
Measured: Up to 2 years after enrollment
ctDNA amount obtained
To determine the ctDNA amount obtained through liquid biopsy analyses by tumor type.
Measured: Up to 2 years after enrollment
Liquid biopsy assay success rate
To determine the liquid biopsy assay success rate by tumor type and by pre-specified pre-analytical variables.
Measured: Up to 2 years after enrollment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Oct 2022
- Study start27 Jan 2023
- Primary completionSep 2027 (estimated)
- Study completionSep 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Solid TumorStudies of the same condition, open and under way.
- More trials run by Sidney Kimmel Comprehensive Cancer Center at Johns HopkinsThe sponsor's other registered studies.
- 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
- 150 participants (estimated)
Sponsor and investigators
- Sponsor type
- University, hospital or other
- Collaborators
- Personal Genome Diagnostics
- Responsible party
- Sponsor
- Investigators
- Valsamo Anagnostou, MD, PhD, Principal investigator, Johns Hopkins University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05585684
- Sponsor's protocol ID
- J2271
- Other IDs
- IRB00333925
- Status last verified
- Nov 2025
- First submitted
- 14 Oct 2022
- Last updated
- 20 Nov 2025
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Canzoniero JV, Rabizadeh D, Ziakas I, Wehr J, Balan A, Jamali A, Landon BV, Sivapalan L, Scott S, Pereira G, Lam VK, Hann CL, Lovly CM, Tao J, Forde PM, Murray JC, Sausen M, Meijer GA, Vink GR, Fijneman RJA; MEDOCC Group; Velculescu VE, Phallen J, Scharpf RB, Anagnostou V. plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis-Derived Variants in Liquid Biopsies from Patients with Solid Tumors. Clin Cancer Res. 2026 May 1;32(9):1729-1744. doi: 10.1158/1078-0432.CCR-25-0976.
PubMed 42001480
Study at a glance
From the registry record, last updated by the sponsor on 20 Nov 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Liquid Biopsy-informed Precision Oncology Study to Evaluate the Clinical Utility of Non-invasive Comprehensive Genomic Profiling for Cancer Treatment Selection
- ClinicalTrials.gov ID
- NCT05585684
- Acronym / sponsor ID
- J2271
- Conditions
- Solid Tumor
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 150 participants (estimated)
- Lead sponsor
- Sidney Kimmel Comprehensive Cancer Center at Johns HopkinsUniversity, hospital or other
- Collaborators
- Personal Genome Diagnostics
- Study start
- 27 Jan 2023 (actual)
- Primary completion
- Sep 2027 (estimated)
- Study completion
- Sep 2027 (estimated)
- First posted
- 19 Oct 2022 (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.
Overall, this project has three main goals: first, to ascertain the feasibility of the approach and identify whether liquid biopsies can detect actionable mutations that can be utilized to generate precision oncology treatment recommendations. Second, the investigators will investigate whether enacting upon MTB recommendations would improve outcomes in terms of progression-free and overall survival. Third, the investigators aim to determine if molecular profiling via serial plasma tests after initiation of chemotherapy or other targeted treatment is sufficient to determine whether or not a patient is responding to therapy.
Detailed description
- Quality assurance plan that addresses data validation and registry procedures, including any plans for site monitoring and auditing. All information will be collected on study-specific case report forms (CRFs) hosted in Redcap and/or directly entered into a study database. The following measures will be taken to protect patient information:
- The database will be password protected; only authorized staff may enter and view project data.
- Passwords and system IDs will not be shared.
- Physical security of the workstations/files will be maintained. Workstations with the database open will not be left unattended.
- Staff will be trained on the data entry system and on security procedures.
- The study data will be reviewed/monitored by the Sidney Kimmel Comprehensive Cancer Center Clinical Research Office and the Cancer Center Safety committee.
- Data checks to compare data entered into the registry against predefined rules for range or consistency with other data fields in the registry. Data checks will be performed per SKCCC SOP DM-01-04 CRF Documentation Standards. Case Report Form (CRF): A printed, optical, or electronic document designed to record all of the protocol-required information to be reported to the sponsor on each trial subject. ICH GCP 1.11 Source Documents: Original documents, data, and records (e.g., hospital records, clinical and office charts, laboratory notes, memoranda, subjects' diaries or evaluation checklists, pharmacy dispensing records, recorded data from automated instruments, copies or transcriptions certified after verification as being accurate and complete, microfiches, photographic negatives, microfilm or magnetic media, x-rays, subject files, and records kept at the pharmacy, at the laboratories, and at the medicotechnical departments involved in the clinical trial). ICH GCP 1.52
- Source data verification to assess the accuracy, completeness, or representativeness of registry data by comparing the data to external data sources (for example, medical records, paper or electronic case report forms, or interactive voice response systems). All study data will be reviewed for completeness and accuracy by the Protocol Chair who will ensure the completeness and accuracy of the data generated. The designated research coordinator(s) participating in this project will collect clinical information associated with each participant. Such data could include, but is not limited to: medical record number, age, sex, treatment history, circulating tumor markers, tumor size, tumor grade, tumor receptor status, pathology report, smoking history, hormonal history, concomitant medications, and parity. Such information will be retrieved from existing clinical databases/EMR (e.g., EPIC) and patient questionnaire information, and may also include electronic scheduling and prescription systems. Follow-up information will be collected by review of the medical records. In addition, participants may be reached by phone to help with any questions or clarifications, or additional follow-up requirements.
- Data dictionary that contains detailed descriptions of each variable used by the registry, including the source of the variable, coding information if used (for example, World Health Organization Drug Dictionary, MedDRA), and normal ranges if relevant. Source for data dictionary is included in Botsis et al., JCO CCI, 2023, in press.
- Standard Operating Procedures to address registry operations and analysis activities, such as patient recruitment, data collection, data management, data analysis, reporting for adverse events, and change management. These activities will be carried out in compliance with the study protocol and Good Clinical Practice principles. Information regarding study conduct and progress will be reported to our local Institutional Review Board (IRB) per current institutional standards. The study will undergo routine annual review as per current institutional standards.
- Sample size assessment to specify the number of participants or participant years necessary to demonstrate an effect. We will recruit 150 patients with solid tumors including non-adenocarcinoma NSCLC, small-cell lung cancer, neuroendocrine lung cancer, mesothelioma, esophageal cancer, breast cancer and head and neck cancer. Based on the liquid biopsy assay's analytical performance we expect to detect tumor-specific mutations in >85% of the individuals. We expect to complete the accrual in 1.5 years. The analysis is primarily descriptive for this feasibility study. A sample size of 150 patients will provide reasonable confidence around the observed estimate of proportions, e.g. percent of patients with variants of clinical significance. The width of 95% confidence interval will be narrower than 16.5%.
- Plan for missing data to address situations where variables are reported as missing, unavailable, non-reported, uninterpretable, or considered missing because of data inconsistency or out-of-range results. Missing data will be excluded from downstream analyses.
- Statistical analysis plan describing the analytical principles and statistical techniques to be employed in order to address the primary and secondary objectives, as specified in the study protocol or plan.
- Analysis of Primary Objectives: The primary objectives are to determine the number and prevalence of variants with clinical significance across different levels of evidence (stratified by gene and alteration type), as described above and to determine the percentage of patients with an MTB treatment recommendation accordingly. Descriptive analysis will be performed to estimate the percentage of patients that harbor variants with clinical significance detected in ctDNA samples, along with 95% confidence intervals. The percentage of patients with an MTB treatment recommendation tailored to an actionable alteration according to the mutation profiles detected by liquid biopsies, and percentage of patients treated according to MTB recommendation will be estimated. The days from collection of liquid biopsies to MTB recommendation, and days from MTB recommendation to treatment initiation will be summarized by mean, median, standard deviation and range. We plan to summarize the data after every 30 patients.
- Analysis of Secondary Objectives:
Time to subsequent cancer therapy is the time from initiation of treatment to the start of next cancer therapy according to treating physician's decision. Progression-free survival (PFS) is the time from initiation of therapy to radiographic progression per RECIST, clinical progression or worsening disease per treating physician's assessment. Overall survival (OS) is the time from initiation of therapy to death due to any cause. PFS and OS will be characteristics by Kaplan-Meier method, among patients who do and do not have an MTB recommendation, and for patients who do and do not receive recommended treatment.
Descriptive analysis will be performed to report the frequency of MTB-based treatment recommendations by therapeutic class (standard of care, clinical trial, off-label use), and the deviations from treatment recommendations and reasons (clinical deterioration, other protocol, patient ineligible, off-label treatment unavailable, clinical trial not feasible (e.g. physical distance), clinical trial not recruiting, physician's decision, patient's choice, etc.) The concordance of detected alterations obtained through liquid biopsy analyses at baseline compared to time-matched or archival tissue specimens will be summarized and quantified using Kappa statistics.
Descriptive analyses will also be performed to determine the cell-free DNA yield and ctDNA amount by tumor type obtained through liquid biopsy analyses. Additionally, the assay success rate by tumor type and by pre-analytical variables will be performed across minimum technical data elements, including:
- Blood collection tube type
- Sample composition
- Shipping temperature
- Blood fractionalization method
- Time to fractionation
- Analyte isolation method
- Time to freezer
- Storage temperature
- Concentration: cellular concentration or molecular concentration
- Assay method
- Time to assay
Study design
- Observational model
- Other
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Oncology Patients | – | Other: Non-invasive Comprehensive Genomic Profiling for Cancer Treatment SelectionAll participants in the study. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- Patients with solid tumors, including esophageal cancer, non-adenocarcinoma NSCLC, small-cell lung cancer, head \& neck cancer, mesothelioma, breast cancer and lung neuroendocrine cancer.
Key inclusion criteria (6 listed)
- ECOG performance status of 0-1.
- Patients with solid tumors, including esophageal cancer, non-adenocarcinoma NSCLC, small-cell lung cancer, head \& neck cancer, mesothelioma, breast cancer and lung neuroendocrine cancer.
- Patients who can provide whole blood collection to meet minimum of 20-30ml of blood at baseline, within 1-3 weeks from treatment initiation, at first radiographic imaging and at progression. Acquisition of an archival or time-matched tumor tissue specimen which meets the minimum sample input requirements (at least 20% tumor content and 100 ng) is preferred but not required.
- Patients with metastatic disease will have progressed on the most recent treatment prior to enrollment. Patient can also be enrolled if their oncologist believes progression is imminent and test results would be used to inform next line of therapy. Patients considered for first-line SOC therapeutic options may be enrolled if the clinical efficacy of these therapies is not encouraging.
- Patients must have disease evaluable for progression assessment; measurable disease is not required to participate in the study.
Key exclusion criteria (2 listed)
- Women who are known to be pregnant
- History of another primary malignancy in the last 5 years prior to registration unless approved by the Protocol Chair/designee. Patients with prior history of in situ cancer or basal or localized squamous cell skin cancer are eligible.
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 |
|---|---|---|
| Non-invasive Comprehensive Genomic Profiling for Cancer Treatment SelectionUse of liquid biopsy to evaluate the clinical utility of non-invasive comprehensive genomic profiling for cancer treatment selection. | Other | Oncology Patients |
Primary outcome
Prevalence of variants in ctDNA with clinical significance across different levels of evidence
Time frame: Up to 2 years after enrollment
To determine the prevalence of variants in ctDNA with clinical significance across different levels of evidence (stratified by gene and alteration type). In cases where tumor next-generation sequencing has been performed, tumor mutational profiles will be evaluated in conjunction with the liquid biopsy results.
Percentage of patients with a molecular tumor board (MTB) treatment recommendation
Time frame: Up to 2 years after enrollment
To determine the percentage of patients with a molecular tumor board (MTB) treatment recommendation tailored to an actionable alteration according to the mutation profiles detected by liquid biopsies.
Percentage of patients treated according to MTB recommendation
Time frame: Up to 2 years after enrollment
To determine percentage of patients treated according to MTB recommendation.
Turnaround time from collection of liquid biopsy to MTB recommendation
Time frame: Up to 2 years after enrollment
To determine turnaround time from collection of liquid biopsy to MTB recommendation.
Time from MTB recommendation to treatment initiation
Time frame: Up to 2 years after enrollment
To determine the time from MTB recommendation to treatment initiation.
13 secondary outcomes
Time to cancer therapy for patients who are treated according to MTB recommendation
Time frame: Up to 2 years after enrollment
Time to cancer therapy for patients who are not treated according to MTB recommendation
Time frame: Up to 2 years after enrollment
Progression free-survival of patients who are treated according to the MTB recommendations
Time frame: Up to 2 years after enrollment
Progression free-survival of patients who are not treated according to the MTB recommendations
Time frame: Up to 2 years after enrollment
Overall survival of patients who do receive treatment according to the MTB recommendations
Time frame: Up to 2 years after enrollment
Overall survival of patients who do not receive treatment according to the MTB recommendations
Time frame: Up to 2 years after enrollment
MTB-based treatment recommendations stratified by therapeutic class
Time frame: Up to 2 years after enrollment
Proportion of deviations from treatment recommendations
Time frame: Up to 2 years after enrollment
Reasons for deviations from treatment recommendations
Time frame: Up to 2 years after enrollment
Concordance of detected alterations obtained through liquid biopsy analyses
Time frame: Up to 2 years after enrollment
cfDNA yield obtained
Time frame: Up to 2 years after enrollment
ctDNA amount obtained
Time frame: Up to 2 years after enrollment
Liquid biopsy assay success rate
Time frame: Up to 2 years after enrollment
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Nov 2025.
- Derived from this study: PubMed 42001480Canzoniero JV, Rabizadeh D, Ziakas I, Wehr J, Balan A, Jamali A, Landon BV, Sivapalan L, Scott S, Pereira G, Lam VK, Hann CL, Lovly CM, Tao J, Forde PM, Murray JC, Sausen M, Meijer GA, Vink GR, Fijneman RJA; MEDOCC Group; Velculescu VE, Phallen J, Scharpf RB, Anagnostou V. plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis-Derived Variants in Liquid Biopsies from Patients with Solid Tumors. Clin Cancer Res. 2026 May 1;32(9):1729-1744. doi: 10.1158/1078-0432.CCR-25-0976.
- Individual participant dataSharing planned: No
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Solid Tumors
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.
Valsamo Anagnostou, MD, PhD principal investigator
Johns Hopkins University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Solid Tumor, run by Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins at 1 site in United States.
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 6 inclusion and 2 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: looking for participants now, as of the sponsor's last update on 20 Nov 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. 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?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Valsamo Anagnostou, MD, PhD (410-955-8964, ThoracicCancerTrials@jhmi.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Prevalence of variants in ctDNA with clinical significance across different levels of evidence (time frame: Up to 2 years after enrollment). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05585684, which also lists 1 linked publication.
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 20 Nov 2025.