Sequence Analysis
Conditions
Keywords
Genomic profiling assay
Brief summary
Genomic alterations have long been recognized as an important factor in tumor formation and drive tumor cell growth. However, the degree of genomic mutation (tumor mutation load, TMB) varies widely between tumors. In addition to gene mutations in tumor cells, the extent of immune cell infiltration in tumor tissues and the type and nature of immune cells (tumor microenvironment, TME) also play an important role in controlling tumor growth. In recent years, more and more clinical studies have shown that the degree of genomic alteration (TMB) and tumor microenvironment (TME) have great potential in predicting a cancer patients' response to immunotherapy. Therefore, understanding the interaction and correlation between genomic alteration and tumor immune environment will not only deepen our understanding of tumor biology but also provide an important reference for developing immunotherapy treatment strategies for solid tumors.
Detailed description
This is a non-interventional, mono-centric retrospective study to be carried out in Chi Mei Medical Center (CMMC) in order to determine the association between the genomic alterations and gene expression level of immune-related genes in cancer. Samples in paraffin-embedded block of biopsies or surgical pieces (either primary tumor or metastases) will be analyzed. For each sample, clinically relevant data associated with treated cancer and needed for characterization of tumor microenvironment will be documented. No additional procedures besides those already used in the routine clinical practice will be applied to the patients. Treatment assignment will be done according to the current practice. This trial is, through accessing to archival tumor materials, to establish the relationship between tumor mutation burden and tumor immune microenvironment for future immunotherapy strategy.
Interventions
OTHERnon intervention
It is an non-interventional retrospective observational study by using archived paraffin-embedded tumor specimens
Sponsors
Chi Mei Medical Hospital
ACT Genomics
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* Sample from patients with histologically documented cancer in target population.
Exclusion criteria
* Unusable sample or biologically deteriorated.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between TMB and the expression level of PD-1/PD-L1 | 12 months | To explore possible relationship between genomic alteration and expression of immune-related genes in solid tumor, tumor mutation burden (TMB) and PD-1/PD-L1 expression level are examined and such relationship will be calculated by Pearson's correlation coefficient. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Small insertions and deletions (Indel), as part of cancer genomic profile | 12 months | To establish a cancer genomic profile for the Asian population, genomic alterations such as small insertions and deletions will be assessed by NGS-based ACTOnco assay. |
| Copy number alterations, as part of cancer genomic profile | 12 months | To establish a cancer genomic profile for the Asian population, genomic alterations such as copy number alterations will be assessed by NGS-based ACTOnco assay. |
| Single point mutations, as part of cancer genomic profile | 12 months | To establish a cancer genomic profile for the Asian population, genomic alterations such as point mutations will be assessed by NGS-based ACTOnco assay. |
| TME gene expression profile, which consists of quantitative measurements of immune-related genes | 12 months | To establish an expression signature of tumor microenvironment (TME) in addition to PD-1 and PD-L1, \>90 immune-related genes will be assessed by ACTTME assay via quantitative PCR |
| Concordance of TMB between ACTOnco assay and an externally validated assay | 12 months | To compare between calculated tumor mutation burden values (TMB, in mutations per megabase) resulting from different methodologies, concordance between two NGS-based assays will be expressed as positive predictive value (PPV) and negative predictive value (NPV). |
| Microsatellite instability, as part of genomic profile | 12 months | To establish a cancer genomic profile for the Asian population, genomic alterations such as microsatellite instability will be assessed by NGS-based ACTOnco assay. |
Countries
Taiwan
Contacts
Primary ContactACT Genomics ACT Genomics
Backup ContactPei-Fang Chung
Outcome results
None listed