Lung CancerSPARCNCT07460440
SPARC - Screening for Lung Cancer With Platelets Via an AI-enabled RNA-based Classifier
An observational study of Lung Cancer and Lung Nodule, run by University of Utah at 2 sites in United States.
Trial summary
The purpose of this study is to test whether combining a unique analytical approach with changes in platelet RNA expression accurately diagnoses lung cancer. Using retrospective platelet transcriptomic data from 522 patients with non-small cell lung cancer (NSCLC, the most common type of lung cancer), an approach that… Read more about this study
- Who is it for?
- Ages 21 years and olderHealthy volunteers can take part
- Conditions the study is for
- Lung Cancer, Lung Nodule
- What is being tested?
- Platelet RNA-based assay
- Type of treatment
- Injection or infusion
- How many people
- 240 participants
- Where
- 2 sitesUnited States
- Study dates
- 8 Sep 2026to Jun 2028
- 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 21 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: The population from which the cohorts will be selected will be from the Huntsman Cancer Institute University of Utah (HCI/UU) and the George E. Wahlen Veterans Affairs Medical Center (VAMC) in Salt Lake City, Utah.
Who may be able to join
- Aged 21 years or older
- Meeting at least one of the following two criteria:
- Diagnosed with any stage or type of lung cancer
- Having at least one lung nodule identified on imaging (e.g., low dose computed tomography [LDCT] or other diagnostic chest imaging) that was completed within 180 days prior to enrollment, and where there is planned or recommended biopsy, surgical resection, radiation therapy, systemic therapy, or other invasive diagnostic or therapeutic procedure to further evaluate the nodule(s) in the next six months based on the clinical judgment of the patient's provider(s)
- Aged 21 years or older
Who cannot join
- Other diagnosis of, or treatment for, any cancer within the last 6 months except for non-melanoma skin cancer, carcinoma in situ of the cervix, or low-grade prostate cancer (defined as Gleason score ≤ 6) treated locally
- A history of lung cancer or metastatic cancer to the lungs from an extrathoracic primary site with definitive treatment (surgical, medical, or radiotherapy) within the past 2 years
- Currently receiving any systemic therapy (chemotherapy, immunotherapy, and/or targeted therapy) or radiation therapy for lung cancer
- Already undergone surgical resection of the lung cancer in part or in whole
- Have undergone invasive diagnostic or therapeutic procedures (e.g., biopsy, surgery) related to the lung nodule within the past 3 months
- Unable to provide blood sample
Show all 18Show fewer
- Study Population 2: Control Subjects
- Any active malignancy or diagnosis of cancer within the last 6 months except for non-melanoma skin cancer, carcinoma in situ of the cervix, or low-grade prostate cancer (defined as Gleason score ≤ 6) treated locally
- Treatment for any cancer within the last 6 months except for non-melanoma skin cancer, carcinoma in situ of the cervix, or low-grade prostate cancer (defined as Gleason score ≤ 6) treated locally
- Hospitalization or surgery (other than minor surgery such as mole removal) within the last 8 weeks
- Renal failure (defined as eGFR < 60 mL/min/1.73m² or on dialysis)
- Liver failure (defined as having hepatic encephalopathy of any degree, OR moderately severe coagulopathy defined as INR ≥ 1.5, OR known cirrhosis, OR ALT of ≥ 10X ULN, OR total bilirubin of ≥ 3.0 mg/dL, OR diagnosis of liver failure)
- Decompensated or end-stage heart failure (defined as ACC/AHA Stage C or Stage D heart failure)
- Venous thrombosis, myocardial infarction, or stroke within the last 8 weeks
- Currently pregnant or have been pregnant within the last 12 weeks
- Any blood product transfusion within the last 8 weeks
- Personal history of lung cancer at any time
- Unable to provide blood sample
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
United States2 sites, 2 recruiting
- Recruiting
University of Utah
Salt Lake City, Utah, 84112
Shiven Patel, MD/MBA, 801-585-0255, u0820856@umail.utah.edu
Shiven Patel, MD/MBA
- Recruiting
Veterans Affairs SLC Health Care System (VAMC)
Salt Lake City, Utah, 84148-0001
Emily Beck, MD, 208-830-6514, Emily.Beck@hsc.utah.edu
Emily Beck, MD
About this study
The purpose of this study is to test whether combining a unique analytical approach with changes in platelet RNA expression accurately diagnoses lung cancer. Using retrospective platelet transcriptomic data from 522 patients with non-small cell lung cancer (NSCLC, the most common type of lung cancer), an approach that appears to accurately classify lung cancer has been developed.
The study will build upon these retrospective analyses to prospectively recruit patients with newly diagnosed lung cancer, obtain platelet RNA samples from whole blood, and perform validation analyses. This research will also test whether this approach accurately distinguishes benign from malignant lung nodules.
- Conditions
- Lung Cancer, Lung Nodule
- Being tested
- Platelet RNA-based assay
- Medical subject headings
- Lung Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Platelet RNA-based assayDiagnostic test
Up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. The minimum whole blood collected will be 4mL.
| Study group | Role | What they receive |
|---|---|---|
| Cohort 1: Lung Cancer | Cohort 1 will enroll 90 participants with Lung Cancer (30 patients with Stage I/II and 60 participants with Stage III/IV).
Following informed consent and during the same visit (study visit 1), up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. Receives: Diagnostic Test: Platelet RNA-based assay | |
| Cohort 2: Lung Nodule | Cohort 1 will enroll 120 participants with Lung Nodules (72 patients with Benign Nodules and 48 participants with Malignant Nodules).
Following informed consent and during the same visit (study visit 1), up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. Receives: Diagnostic Test: Platelet RNA-based assay | |
| Cohort 3: Control Participants without Cancer or Nodule | Cohort 3 will enroll 30 participants without Lunch Cancer or lunch Nodules.
Following informed consent and during the same visit (study visit 1), up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. Receives: Diagnostic Test: Platelet RNA-based assay |
What is being measured
The primary outcome is the main question the study is designed to answer.
Sensitivity
Sensitivity of the assay in detecting lung cancer
Measured: up to one day after study enrollment
Specificity
Specificity of the assay in detecting lung cancer.
Measured: up to one day after study enrollment
Positive predictive value (PPV)
Positive predictive value (PPV) in distinguishing benign vs. malignant lung nodules.
Measured: up to one day after study enrollment
Negative Predictive Value (NPV)
Negative predictive value (NPV) in distinguishing benign vs. malignant lung nodules.
Measured: up to one day after study enrollment
Secondary outcomes (3)
Performance Across Lung Cancer Stage
Performance of the assay across lung cancer stage (stage I-IV).
Measured: up to one day after study enrollment
Performance Across Lung Cancer Histologic Subtypes
Performance of assay across lung cancer histologic subtypes (e.g., adenocarcinoma, squamous, small cell).
Measured: up to one day after study enrollment
Validation Completion
Technical and analytical validation completion.
Measured: up to one day after study enrollment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Mar 2026
- Study start8 Sep 2026
- Primary completionJun 2028 (estimated)
- Study completionJun 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (16)Papers the sponsor has linked to this study.
- Other trials for Lung CancerStudies of the same condition, open and under way.
- More trials run by University of UtahThe 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
- Case-control
- Time perspective
- Prospective
- Enrolment
- 240 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Utah
- Sponsor type
- University, hospital or other
- Collaborators
- United States Department of Defense
- Responsible party
- Sponsor
- Investigators
- Shiven Patel, MD/MBA, Principal investigator, University of Utah
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07460440
- Sponsor's protocol ID
- 193163
- Other IDs
- LC240423
- Acronym
- SPARC
- Status last verified
- Sep 2026
- First submitted
- 3 Mar 2026
- Last updated
- 28 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
National Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29.
PubMed 21714641Kurzrock R, Chaudhuri AA, Feller-Kopman D, Florez N, Gorden J, Wistuba II. Healthcare disparities, screening, and molecular testing in the changing landscape of non-small cell lung cancer in the United States: a review. Cancer Metastasis Rev. 2024 Dec;43(4):1217-1231. doi: 10.1007/s10555-024-10187-6. Epub 2024 May 16.
PubMed 38750337Henderson LM, Benefield T, Bosemani T, Long JM, Rivera MP. Impact of the COVID-19 Pandemic on Volumes and Disparities in Lung Cancer Screening. Chest. 2021 Jul;160(1):379-382. doi: 10.1016/j.chest.2020.12.033. Epub 2021 Jan 5. No abstract available.
PubMed 33417898Kalinke L, Thakrar R, Janes SM. The promises and challenges of early non-small cell lung cancer detection: patient perceptions, low-dose CT screening, bronchoscopy and biomarkers. Mol Oncol. 2021 Oct;15(10):2544-2564. doi: 10.1002/1878-0261.12864. Epub 2020 Dec 14.
PubMed 33252175Bach PB, Jett JR, Pastorino U, Tockman MS, Swensen SJ, Begg CB. Computed tomography screening and lung cancer outcomes. JAMA. 2007 Mar 7;297(9):953-61. doi: 10.1001/jama.297.9.953.
PubMed 17341709Croswell JM, Baker SG, Marcus PM, Clapp JD, Kramer BS. Cumulative incidence of false-positive test results in lung cancer screening: a randomized trial. Ann Intern Med. 2010 Apr 20;152(8):505-12, W176-80. doi: 10.7326/0003-4819-152-8-201004200-00007.
PubMed 20404381Brenner DJ. Radiation risks potentially associated with low-dose CT screening of adult smokers for lung cancer. Radiology. 2004 May;231(2):440-5. doi: 10.1148/radiol.2312030880.
PubMed 15128988Best MG, Vancura A, Wurdinger T. Platelet RNA as a circulating biomarker trove for cancer diagnostics. J Thromb Haemost. 2017 Jul;15(7):1295-1306. doi: 10.1111/jth.13720.
PubMed 28671345Tjon-Kon-Fat LA, Sol N, Wurdinger T, Nilsson RJA. Platelet RNA in Cancer Diagnostics. Semin Thromb Hemost. 2018 Mar;44(2):135-141. doi: 10.1055/s-0037-1606182. Epub 2017 Sep 13.
PubMed 28905353Sol N, Leurs CE, Veld SGI', Strijbis EM, Vancura A, Schweiger MW, Teunissen CE, Mateen FJ, Tannous BA, Best MG, Wurdinger T, Killestein J. Blood platelet RNA enables the detection of multiple sclerosis. Mult Scler J Exp Transl Clin. 2020 Jul 30;6(3):2055217320946784. doi: 10.1177/2055217320946784. eCollection 2020 Jul-Sep.
PubMed 32843989Gao Y, Liu CJ, Li HY, Xiong XM, Li GL, In 't Veld SGJG, Cai GY, Xie GY, Zeng SQ, Wu Y, Chi JH, Liu JH, Zhang Q, Jiao XF, Shi LL, Lu WR, Lv WG, Yang XS, Piek JMJ, de Kroon CD, Lok CAR, Supernat A, Lapinska-Szumczyk S, Lojkowska A, Zaczek AJ, Jassem J, Tannous BA, Sol N, Post E, Best MG, Kong BH, Xie X, Ma D, Wurdinger T, Guo AY, Gao QL. Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification study. Protein Cell. 2023 Jun 7;14(6):579-590. doi: 10.1093/procel/pwac056.
PubMed 36905391Rondina MT, Voora D, Simon LM, Schwertz H, Harper JF, Lee O, Bhatlekar SC, Li Q, Eustes AS, Montenont E, Campbell RA, Tolley ND, Kosaka Y, Weyrich AS, Bray PF, Rowley JW. Longitudinal RNA-Seq Analysis of the Repeatability of Gene Expression and Splicing in Human Platelets Identifies a Platelet SELP Splice QTL. Circ Res. 2020 Feb 14;126(4):501-516. doi: 10.1161/CIRCRESAHA.119.315215. Epub 2019 Dec 19.
PubMed 31852401Jopek MA, Pastuszak K, Sieczczynski M, Cygert S, Zaczek AJ, Rondina MT, Supernat A. Improving platelet-RNA-based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification. Mol Oncol. 2024 Nov;18(11):2743-2754. doi: 10.1002/1878-0261.13689. Epub 2024 Jun 17.
PubMed 38887841Best MG, Sol N, Kooi I, Tannous J, Westerman BA, Rustenburg F, Schellen P, Verschueren H, Post E, Koster J, Ylstra B, Ameziane N, Dorsman J, Smit EF, Verheul HM, Noske DP, Reijneveld JC, Nilsson RJA, Tannous BA, Wesseling P, Wurdinger T. RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics. Cancer Cell. 2015 Nov 9;28(5):666-676. doi: 10.1016/j.ccell.2015.09.018. Epub 2015 Oct 29.
PubMed 26525104In 't Veld SGJG, Arkani M, Post E, Antunes-Ferreira M, D'Ambrosi S, Vessies DCL, Vermunt L, Vancura A, Muller M, Niemeijer AN, Tannous J, Meijer LL, Le Large TYS, Mantini G, Wondergem NE, Heinhuis KM, van Wilpe S, Smits AJ, Drees EEE, Roos E, Leurs CE, Tjon Kon Fat LA, van der Lelij EJ, Dwarshuis G, Kamphuis MJ, Visser LE, Harting R, Gregory A, Schweiger MW, Wedekind LE, Ramaker J, Zwaan K, Verschueren H, Bahce I, de Langen AJ, Smit EF, van den Heuvel MM, Hartemink KJ, Kuijpers MJE, Oude Egbrink MGA, Griffioen AW, Rossel R, Hiltermann TJN, Lee-Lewandrowski E, Lewandrowski KB, De Witt Hamer PC, Kouwenhoven M, Reijneveld JC, Leenders WPJ, Hoeben A, Verdonck-de Leeuw IM, Leemans CR, Baatenburg de Jong RJ, Terhaard CHJ, Takes RP, Langendijk JA, de Jager SC, Kraaijeveld AO, Pasterkamp G, Smits M, Schalken JA, Lapinska-Szumczyk S, Lojkowska A, Zaczek AJ, Lokhorst H, van de Donk NWCJ, Nijhof I, Prins HJ, Zijlstra JM, Idema S, Baayen JC, Teunissen CE, Killestein J, Besselink MG, Brammen L, Bachleitner-Hofmann T, Mateen F, Plukker JTM, Heger M, de Mast Q, Lisman T, Pegtel DM, Bogaard HJ, Jassem J, Supernat A, Mehra N, Gerritsen W, de Kroon CD, Lok CAR, Piek JMJ, Steeghs N, van Houdt WJ, Brakenhoff RH, Sonke GS, Verheul HM, Giovannetti E, Kazemier G, Sabrkhany S, Schuuring E, Sistermans EA, Wolthuis R, Meijers-Heijboer H, Dorsman J, Oudejans C, Ylstra B, Westerman BA, van den Broek D, Koppers-Lalic D, Wesseling P, Nilsson RJA, Vandertop WP, Noske DP, Tannous BA, Sol N, Best MG, Wurdinger T. Detection and localization of early- and late-stage cancers using platelet RNA. Cancer Cell. 2022 Sep 12;40(9):999-1009.e6. doi: 10.1016/j.ccell.2022.08.006. Epub 2022 Sep 1.
PubMed 36055228
Study at a glance
From the registry record, last updated by the sponsor on 28 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- SPARC - Screening for Lung Cancer With Platelets Via an AI-enabled RNA-based Classifier
- ClinicalTrials.gov ID
- NCT07460440
- Acronym / sponsor ID
- SPARC / 193163
- Conditions
- Lung Cancer, Lung Nodule
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 240 participants (estimated)
- Lead sponsor
- University of UtahUniversity, hospital or other
- Collaborators
- United States Department of Defense
- Study start
- 8 Sep 2026 (actual)
- Primary completion
- Jun 2028 (estimated)
- Study completion
- Jun 2028 (estimated)
- First posted
- 10 Mar 2026 (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.
The purpose of this study is to test whether combining a unique analytical approach with changes in platelet RNA expression accurately diagnoses lung cancer. Using retrospective platelet transcriptomic data from 522 patients with non-small cell lung cancer (NSCLC, the most common type of lung cancer), an approach that appears to accurately classify lung cancer has been developed.
The study will build upon these retrospective analyses to prospectively recruit patients with newly diagnosed lung cancer, obtain platelet RNA samples from whole blood, and perform validation analyses. This research will also test whether this approach accurately distinguishes benign from malignant lung nodules.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Cohort 1: Lung Cancer | – | Diagnostic Test: Platelet RNA-based assayCohort 1 will enroll 90 participants with Lung Cancer (30 patients with Stage I/II and 60 participants with Stage III/IV). Following informed consent and during the same visit (study visit 1), up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. |
| Cohort 2: Lung Nodule | – | Diagnostic Test: Platelet RNA-based assayCohort 1 will enroll 120 participants with Lung Nodules (72 patients with Benign Nodules and 48 participants with Malignant Nodules). Following informed consent and during the same visit (study visit 1), up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. |
| Cohort 3: Control Participants without Cancer or Nodule | – | Diagnostic Test: Platelet RNA-based assayCohort 3 will enroll 30 participants without Lunch Cancer or lunch Nodules. Following informed consent and during the same visit (study visit 1), up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. |
Who may qualify
- Ages
- 21 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- The population from which the cohorts will be selected will be from the Huntsman Cancer Institute University of Utah (HCI/UU) and the George E. Wahlen Veterans Affairs Medical Center (VAMC) in Salt Lake City, Utah.
Key inclusion criteria (5 listed)
- Aged 21 years or older
- Meeting at least one of the following two criteria:
- Diagnosed with any stage or type of lung cancer
- Having at least one lung nodule identified on imaging (e.g., low dose computed tomography [LDCT] or other diagnostic chest imaging) that was completed within 180 days prior to enrollment, and where there is planned or recommended biopsy, surgical resection, radiation therapy, systemic therapy, or other invasive diagnostic or therapeutic procedure to further evaluate the nodule(s) in the next six months based on the clinical judgment of the patient's provider(s)
- Aged 21 years or older
Key exclusion criteria (18 listed)
- Other diagnosis of, or treatment for, any cancer within the last 6 months except for non-melanoma skin cancer, carcinoma in situ of the cervix, or low-grade prostate cancer (defined as Gleason score ≤ 6) treated locally
- A history of lung cancer or metastatic cancer to the lungs from an extrathoracic primary site with definitive treatment (surgical, medical, or radiotherapy) within the past 2 years
- Currently receiving any systemic therapy (chemotherapy, immunotherapy, and/or targeted therapy) or radiation therapy for lung cancer
- Already undergone surgical resection of the lung cancer in part or in whole
- Have undergone invasive diagnostic or therapeutic procedures (e.g., biopsy, surgery) related to the lung nodule within the past 3 months
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 |
|---|---|---|
| Platelet RNA-based assayUp to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. The minimum whole blood collected will be 4mL. | Diagnostic test | Cohort 1: Lung Cancer, Cohort 2: Lung Nodule, Cohort 3: Control Participants without Cancer or Nodule |
Primary outcome
Sensitivity
Time frame: up to one day after study enrollment
Sensitivity of the assay in detecting lung cancer
Specificity
Time frame: up to one day after study enrollment
Specificity of the assay in detecting lung cancer.
Positive predictive value (PPV)
Time frame: up to one day after study enrollment
Positive predictive value (PPV) in distinguishing benign vs. malignant lung nodules.
Negative Predictive Value (NPV)
Time frame: up to one day after study enrollment
Negative predictive value (NPV) in distinguishing benign vs. malignant lung nodules.
3 secondary outcomes
Performance Across Lung Cancer Stage
Time frame: up to one day after study enrollment
Performance Across Lung Cancer Histologic Subtypes
Time frame: up to one day after study enrollment
Validation Completion
Time frame: up to one day after study 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 28 Sep 2026.
- Background: PubMed 21714641National Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29.
- Background: PubMed 38750337Kurzrock R, Chaudhuri AA, Feller-Kopman D, Florez N, Gorden J, Wistuba II. Healthcare disparities, screening, and molecular testing in the changing landscape of non-small cell lung cancer in the United States: a review. Cancer Metastasis Rev. 2024 Dec;43(4):1217-1231. doi: 10.1007/s10555-024-10187-6. Epub 2024 May 16.
- Background: PubMed 33417898Henderson LM, Benefield T, Bosemani T, Long JM, Rivera MP. Impact of the COVID-19 Pandemic on Volumes and Disparities in Lung Cancer Screening. Chest. 2021 Jul;160(1):379-382. doi: 10.1016/j.chest.2020.12.033. Epub 2021 Jan 5. No abstract available.
- Background: PubMed 33252175Kalinke L, Thakrar R, Janes SM. The promises and challenges of early non-small cell lung cancer detection: patient perceptions, low-dose CT screening, bronchoscopy and biomarkers. Mol Oncol. 2021 Oct;15(10):2544-2564. doi: 10.1002/1878-0261.12864. Epub 2020 Dec 14.
- Background: PubMed 17341709Bach PB, Jett JR, Pastorino U, Tockman MS, Swensen SJ, Begg CB. Computed tomography screening and lung cancer outcomes. JAMA. 2007 Mar 7;297(9):953-61. doi: 10.1001/jama.297.9.953.
- Background: PubMed 20404381Croswell JM, Baker SG, Marcus PM, Clapp JD, Kramer BS. Cumulative incidence of false-positive test results in lung cancer screening: a randomized trial. Ann Intern Med. 2010 Apr 20;152(8):505-12, W176-80. doi: 10.7326/0003-4819-152-8-201004200-00007.
- Background: PubMed 15128988Brenner DJ. Radiation risks potentially associated with low-dose CT screening of adult smokers for lung cancer. Radiology. 2004 May;231(2):440-5. doi: 10.1148/radiol.2312030880.
- Background: PubMed 28671345Best MG, Vancura A, Wurdinger T. Platelet RNA as a circulating biomarker trove for cancer diagnostics. J Thromb Haemost. 2017 Jul;15(7):1295-1306. doi: 10.1111/jth.13720.
- Background: PubMed 28905353Tjon-Kon-Fat LA, Sol N, Wurdinger T, Nilsson RJA. Platelet RNA in Cancer Diagnostics. Semin Thromb Hemost. 2018 Mar;44(2):135-141. doi: 10.1055/s-0037-1606182. Epub 2017 Sep 13.
- Background: PubMed 32843989Sol N, Leurs CE, Veld SGI', Strijbis EM, Vancura A, Schweiger MW, Teunissen CE, Mateen FJ, Tannous BA, Best MG, Wurdinger T, Killestein J. Blood platelet RNA enables the detection of multiple sclerosis. Mult Scler J Exp Transl Clin. 2020 Jul 30;6(3):2055217320946784. doi: 10.1177/2055217320946784. eCollection 2020 Jul-Sep.
- Background: PubMed 36905391Gao Y, Liu CJ, Li HY, Xiong XM, Li GL, In 't Veld SGJG, Cai GY, Xie GY, Zeng SQ, Wu Y, Chi JH, Liu JH, Zhang Q, Jiao XF, Shi LL, Lu WR, Lv WG, Yang XS, Piek JMJ, de Kroon CD, Lok CAR, Supernat A, Lapinska-Szumczyk S, Lojkowska A, Zaczek AJ, Jassem J, Tannous BA, Sol N, Post E, Best MG, Kong BH, Xie X, Ma D, Wurdinger T, Guo AY, Gao QL. Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification study. Protein Cell. 2023 Jun 7;14(6):579-590. doi: 10.1093/procel/pwac056.
- Background: PubMed 31852401Rondina MT, Voora D, Simon LM, Schwertz H, Harper JF, Lee O, Bhatlekar SC, Li Q, Eustes AS, Montenont E, Campbell RA, Tolley ND, Kosaka Y, Weyrich AS, Bray PF, Rowley JW. Longitudinal RNA-Seq Analysis of the Repeatability of Gene Expression and Splicing in Human Platelets Identifies a Platelet SELP Splice QTL. Circ Res. 2020 Feb 14;126(4):501-516. doi: 10.1161/CIRCRESAHA.119.315215. Epub 2019 Dec 19.
- Individual participant dataSharing planned: No
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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.
Shiven Patel, MD/MBA principal investigator
University of Utah
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 and Lung Nodule, run by University of Utah at 2 sites 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 5 inclusion and 18 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 28 Sep 2026. 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 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 Matthew Rondina, MD, MS (801-587-8308, matthew.rondina@hsc.utah.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Sensitivity (time frame: up to one day after study enrollment). The study lists 4 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 NCT07460440, which also lists 16 linked publications.
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 28 Sep 2026.