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NCT Number: NCT06549725

Clinical Performance of Medical Device Software "Lipidica 1.0" for Processing Data Generated by Lipidomic Analysis in Pancreatic Cancer Screening

Software "Lipidica" is intended to be used for processing data generated by the in-house in vitro diagnostic medical device for lipidomic testing for the purpose of screening Pancreatic cancer (PaC) in the population at high risk of this cancer due to familial risk, selected gene mutations or hereditary pancreatic diseases.

The primary objective is to verify that the investigational IVDSW can discriminate between results of patients with Pancreatic cancer and persons without Pancreatic cancer but at higher risk of this cancer disease due to their predispositions.

Participants will:

* come to baseline and end of study visit for blood sampling and medical imaging * some participant will undertake one more visit depending on their results on baseline

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Key information

About this study

Pancreatic cancer (PaC) is one of the cancer diseases with the worst prognosis, as mortality almost equals the incidence. In the Czech Republic, the incidence of pancreatic ductal adenocarcinoma (PDAC) has had a clear upward trend since the late 1970s, and in 2018, 21.9 new cases per 100,000 persons were reported.

PDAC is associated with a poor prognosis for several reasons. Due to the usual asymptomatic course or occurrence of only non-specific symptoms, it is usually detected in an advanced stage. Moreover, the diagnosis by standard methods can be difficult in the early stages, and investigators lack sensitive and specific tumor markers. The disease forms distant metastases rapidly, which creates a very short time interval for effective curative interventions. So far, PaC screening possibilities in the Czech Republic are limited to several academic research screening cohorts.

Five-year survival, regardless of clinical stage, is 7-9%. The resectable disease is detected in 10% of patients with a 5-year survival of 42%. Locally advanced unresectable disease is found in about 30% of patients with a 5-year survival of 12%, and metastatic disease is diagnosed in about 60% of patients with a 5-year survival of only approx. 3%.

PaC screening is not suitable for an unselected population. By contrast, it is vital for individuals with a high risk of developing this disease due to family history and/or genetic predispositions. Early diagnosis resulted in more curative resections and longer survival in this population thanks to the screening programs. First economic evaluations described the possible cost-effectiveness of screening high-risk individuals.

Changes in plasma lipid concentrations were reported in various cancer types (bladder, breast, colorectal, gastric, liver, kidney, lung, oesophageal, ovarian, prostate, thyroid, and pancreas). The altered plasma lipid profile may originate not only from tumor cells, tumor stroma, and apoptotic cells but also from an immune response.

Previous study robustly proved a specific lipidomic phenotype in patients with PDAC across stages, age, treatments, or the presence of diabetes. Multiple lipid species were significantly downregulated in the plasma of PDAC patients, such as very long-chain monounsaturated sphingomyelins, ceramides and (lyso)phosphatidylcholines. The study showed that lipid profiling can discriminate between patients with PDAC and healthy controls or patients with pancreatitis. This clinical performance study (CPS) follows on from the previous study by Wolrab et al.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

Arm1:

  • Age ≥ 18 years
  • Signed informed consent
  • Histologically confirmed diagnosis of resectable PaC

Exclusion criteria

Arm 1:

  • History of any other cancer disease
  • Present incurable malignancy
  • Unfit for radical curative resection of the tumor
  • Vegan or vegetarian diet

Inclusion criteria

Arm2:

  • Age ≥ 18 years
  • Signed informed consent
  • High risk of PaC due to the presence of one of the following risk factors:
  • Family history of PaC (≥ 2 first-degree or second-degree relatives with PaC in the same family line)
  • Confirmed germline mutation of STK11 (LKB1) regardless of family history
  • Confirmed germline mutation of CDKN2A leading to the alteration of p16 regardless of family history
  • Confirmed germline mutation of APC, ATM, BRCA1, BRCA2, MLH1, MSH2, MSH6, PMS2, EPCAM, PALB2 or TP53 AND ≥ 1 first-degree or second-degree relative with PaC
  • Present hereditary pancreatitis (recurrent acute pancreatitis or chronic pancreatitis and confirmed germline mutation of PRSS1)
  • Age:
  • Person with a family history of PaC: > 50 years or 10 years before the diagnosis of PaC in the youngest family member (whichever comes first)
  • Person with STK11 mutation: > 35 years or 10 years before the diagnosis of PaC in the youngest family member (whichever comes first)
  • Person with CDKN2A mutation: > 40 years or 10 years before the diagnosis of PaC in the youngest family member (whichever comes first)
  • Person with APC, ATM, BRCA1, BRCA2, MLH1, MSH2, MSH6, PMS2, EPCAM, PALB2 or TP53 mutation: > 45 years or 10 years before the diagnosis of PaC in the youngest family member (whichever comes first)
  • Person with hereditary pancreatitis: > 40 years or 20 years after the 1st attack (whichever comes first)

Exclusion criteria

Arm 2:

  • Pregnancy of planning to conceive in the next 12 months
  • History of any cancer disease
  • Present incurable malignancy
  • Inability to undergo planned medical imaging or blood sampling
  • Vegan or vegetarian diet

Treatment and study plan

software Lipidica

Device

The investigational in vitro diagnostic medical device-software (IVDSW) "Lipidica" processes and analyses data inputs from the analysis of lipid profile in human plasma using an in-house in vitro diagnostic medical device.

endoscopic ultrasonography

Procedure

Endoscopic ultrasonography - maximum frequency: 3 times during the participation

Other names: EUS

magnetic resonance

Procedure

Magnetic resonance - maximum frequency: 3 times during the participation

Other names: MR

laboratory examination

Diagnostic Test

Lipidomic analysis, CA 19-9, CEA, HbA1c and hCG levels assessment (hCG only in women of childbearing potential in Arm 2)

Computed Tomography

Procedure

computed tomography - maximum frequency: 3 times during the participation

Other names: CT

Primary outcomes

  1. The primary objective is to verify that the investigational IVDSW can discriminate between results of patients with PaC and persons without PaC but at higher risk of this cancer disease due to their predispositions.

    Time frame: Interim analysis 1 year from first subject enrolled and through study completion (an average of 3 years)

    The primary objective will be assessed using the following parameters:

    Diagnostic sensitivity The sensitivity is defined as the capacity to correctly detect confirmed positive samples of plasma from patient with PaC diagnosed with standard diagnostic methods.

    Diagnostic specificity The specificity is the ability to correctly classify samples of plasma from patient without PaC but at higher risk of the disease. The diagnosis of PaC will be excluded using standard diagnostic methods.

    Positive predictive value It is the ratio of patients with PaC truly diagnosed as positive to all those who had positive results (including healthy subjects who were incorrectly diagnosed as patients with PaC).

    Negative predictive value It is the ratio of subjects truly diagnosed as negative to all those who had negative results (including patients with PaC who were incorrectly diagnosed as healthy).

    Likelihood ratio and Expected values in normal and affected populations

Other outcomes

  1. Glycosylated haemoglobin (HbA1c) levels with PaC diagnosis status

    Time frame: Through study completion (an average of 3 years)

    The association of glycosylated haemoglobin (HbA1c) levels with PaC diagnosis status. Measured in both arms.

  2. Effect of CA 19-9 and CEA tumor markers on sensitivity and specificity

    Time frame: Through study completion (an average of 3 years)

    The effect of CA 19-9 and CEA tumor markers input into the mathematical model as an integral part of MDSW used for processing data derived from lipidomic testing on sensitivity and specificity. Measured in both arms.

  3. Several predefined cut-off values

    Time frame: Through study completion (an average of 3 years)

    Sensitivity and specificity will be assessed for several predefined cut-off values to explore the impact of the results within the range of diagnostic uncertainty. The impact of subgroups within different ranges of results based on IVDSW processing on sensitivity and specificity will be assessed. Measured in both arms.

  4. The effect of the normalization step on the calculation of lipid concentrations and its impact on the clinical performance of IVDSW.

    Time frame: Through study completion (an average of 3 years)

    The effect of the normalization step on the calculation of lipid concentrations and its impact on the clinical performance of IVDSW. Sponsor will assess the impact of normalization which automatically eliminates the effect of mass spectrometer aging on key diagnostic parameters of the method in alignment with the primary outcome of the study: Diagnostic sensitivity, Diagnostic specificity, Positive predictive value, Negative predictive value, Likelihood ratio, Expected values in normal and affected populations. The expected value of the result from IVDSW "Lipidica" is ≤ 0.5 for the healthy population. The expected value for patients with PaC is > 0.5.

  5. Verification of the clinical performance of next version(s) of IVDSW "Lipidica"

    Time frame: Through study completion (an average of 3 years)

    Verification of the clinical performance of next version(s) of IVDSW "Lipidica" in alignment with the intended purpose using the laboratory and clinical data obtained in this CPS (i.e. to verify that new version(s) can still discriminate between samples of patients with PaC and persons without PaC but at higher risk of this cancer disease). Sponsor will assess the clinical function of the next version of IVDSW "Lipidica" on key diagnostic parameters of the method in alignment with the primary outcome of the study and in comparison to the previous version which is the studied device: Diagnostic sensitivity, Diagnostic specificity, Positive predictive value, Negative predictive value, Likelihood ratio, Expected values in normal and affected populations. The expected value of the result from IVDSW "Lipidica" is ≤ 0.5 for the healthy population. The expected value for patients with PaC is > 0.5.

Study contacts

Contact information is provided by the study sponsor or research team.

Karolina Kasparova

CONTACT

[email protected]

+420723 242 544

Sponsors and collaborators

Lead sponsor

Lipidica, a.s.

Industry

Registry information

Important dates

Study start
2024
Primary completion
2027
Study completion
2027
First posted
Aug 12, 2024
Registry last updated
Apr 27, 2026

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

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

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

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