Clinical trial · Observational
Protein and RNA Expression Patterns in Predicting Response to Treatment in Patients With Lung Cancer
Molecular Fingerprints in Lung Cancer: Predicting Tumor Response to Therapy
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
RATIONALE: Studying samples of tumor tissue and blood in the laboratory from patients with cancer may help doctors learn more about changes that occur in genetic material (DNA and RNA) and may also identify protein expression patterns related to cancer. It may also help doctors predict how patients will respond to treatment. PURPOSE: This research study evaluates changes in DNA, RNA, and proteins with the goal of predicting response to treatment in patients with lung cancer.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (4)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Blood sample | Procedure | — | UNRESOLVED |
| DNA/RNA sequencing and expression levels | Genetic | — | UNRESOLVED |
| Lung tumor biopsy | Procedure | — | UNRESOLVED |
| Protein expression analysis | Genetic | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Lung cancer
- description
- Patients with a diagnosis of invasive lung cancer.
- interventionNames
- Genetic: DNA/RNA sequencing and expression levels
- Genetic: Protein expression analysis
- Procedure: Lung tumor biopsy
- Procedure: Blood sample
Primary outcomes (1)
- measure
- DNA, RNA, and Protein expression patterns and mutational analysis
- timeFrame
- After lung tumor tissue and blood collection.
- description
- DNA, RNA, and Protein expression patterns and mutation status in lung tumor tissue that are capable of predicting tumor response to therapy
Secondary outcomes (1)
- measure
- Characterization of genes and proteins predictive of response to therapy
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Maximum age
- 120 Years
Show eligibility criteria text
Inclusion criteria * Diagnosis of suspected lung cancer or lung cancer Exclusion criteria * Inability to undergo therapy
References
Publications (0)
Data not yet available