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NCT07460440From ClinicalTrials.govRecruiting

SPARC - Screening for Lung Cancer With Platelets Via an AI-enabled RNA-based Classifier

  • Lung Cancer
  • Lung Nodule

At a glance

Phase
Phase not stated
Study type
Observational
Sponsor
University of Utah
Enrolment target
240
Started
8 September 2026
Main results due
June 2028
Study sites
2
Registry updated
28 September 2026

Can you take part?

  • Aged 21 years and over.
  • Open to any sex.
  • Healthy volunteers can take part.

These are the headline rules only. Every study has a longer list, and whether you are eligible is decided by the research team at the site — never by this page.

Read the full eligibility criteria
Study Population 1: Treatment-Naïve Patients with a Lung Nodule or Lung Cancer

Inclusion Criteria:

* 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)

Exclusion Criteria:

* 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

Study Population 2: Control Subjects

Inclusion Criteria:

* Aged 21 years or older

Exclusion Criteria:

* 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

What this study is about

In the sponsor’s own words, from the registry.

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 sites(2)

  • University of Utah

    Salt Lake City, Utah, United States

    Recruiting

  • Veterans Affairs SLC Health Care System (VAMC)

    Salt Lake City, Utah, United States

    Recruiting

Showing 2 of 2 sites. 2 of the 2 sites on this study are recruiting right now — a site can stop enrolling while the study as a whole is still open.

Source: ClinicalTrials.gov record NCT07460440. Trialion does not run this study, is not paid to refer anyone to it, and cannot enrol you. Eligibility is always decided by the research team at the site.

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SPARC - Screening for Lung Cancer With Platelets Via an AI-enabled RNA-based Classifier | Trialion