Clinical trial · Observational
Radiogenomics in Aerodigestive Tract Cancers
- 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)
Aerodigestive tract cancers are common malignancies. These cancers were ranked to be top-ten cancer-related deaths in Taiwan. Although many new target therapies and immunotherapies have emerged, many of the treatment eventually fail. For example, a 30-40% failure rate has been reported for target therapy, and, even higher for immune checkpoint inhibitors. A reliable model to more accurately predict treatment response and survival is warranted. The radiomic features extracted from F-18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) can be used to figure tumor biology such as metabolome and heterogeneity. It can therefore be used to predict treatment response and individual survival. On the other hand, genomic data derived from next-generation sequencing (NGS) can interrogate the genetic alteration of cancer cells. It can be used to feature genetic identification of the tumor and can also be used to identify target genes. However, both modalities have their weakness; a combination of the two may devise a more powerful predictive model for more precise clinical decision. The investigators plan to recruit patients aged at least 20-year with the diagnosis of aerodigestive tract cancers for radiogenomic study. Our previous studies have found that radiomic features derived from 18F-FDG PET can predict treatment response and survival in patients with esophageal cancer treated with tri-modality method. The investigators also discovered that radiomics could predict survival in patients with EGFR-mutated lung adenocarcinoma treated with target therapy. In addition, our study results showed that the level of PD-L1 expression is associated with radiomics as well. The investigators plan to add genomic data into radiomics and interrogate cancers from different aspects. The investigators seek to devise a more precise model to predict the treatment response and survival in patients with aerodigestive tract cancers.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cancer, Lung | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
| Cancer of Esophagus | Malignant Esophageal Neoplasm | ALIAS | 0.90 |
| Cancer of Head and Neck | Malignant Head and Neck Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Correlation of radiogenomics
- timeFrame
- 3 months
- description
- Study the correlation of radiomics and genomics and pathological features
Secondary outcomes (1)
- measure
- Treatment response and survival
- timeFrame
- 3 years
- description
- Study the association of radiogenomics with the treatment response and survival
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 20 Years
Show eligibility criteria text
Inclusion Criteria: * Age at least 20-years * Pathological proven aerodigestive tract cancers and received complete staging work-up * Pathological specimen of the primary tumor * The solid part of the primary tumor should be at least 2 cm for the lung or head and neck cancers. The primary tumor of the esophageal cancer should be at least cT2. Exclusion Criteria: * Coexistence of non-aerodigestive tract cancer. * Only receive best supportive care after diagnosis. * Unable to comply to FDG PET/CT exam. * Unable to determine the primary tumor.
References
Publications (0)
Data not yet available