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Despite the common application of radiotherapy in cancer treatment, the prediction of radiosensitivity and treatment response has not yet entered the era of precision medicine. Therefore, development of genome-based methods for predicting radiosensitivity and treatment response is a central goal of radiation oncology. In the previous study, the investigators have identified a set of novel potential biomarkers associated with radiosensitivity and recurrence,through correlating patients' genomic profiles with toxicity, disease progression and overall survival after RT.
Researchers have long recognized that individual differences in sensitivity to radiation are caused by genetic variations and implicated multiple key pathways that might explain radiation toxicity. Normal tissue toxicity is a complex trait that involves the combined effect of a multitude of genes and pathways, and also dynamic interactions with the evolving cancer genome. The effect size of any individual factor is likely small. As a consequence, candidate gene approach and genome-wide association studies rarely lead to the identification of genetic determinants of radiation toxicity. Targeted next-generation sequencing (NGS), on the other hand, has become increasingly routine in the clinic and would allow simultaneous assessment of multiple genetic alterations.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| non-smell cell lung cancer (NSCLC) | Advanced NSCLC patients receiving radiotherapy or chemo-radiotherapy |
| |
| Rectal cancer | Rectal cancer patients receiving neoadjuvant radiotherapy or chemo-radiotherapy |
| |
| Smell cell lung cancer (SCLC) | SCLC patients receiving radiotherapy or chemo-radiotherapy |
| |
| Esophageal cancer | Esophageal cancer patients receiving radiotherapy or chemo-radiotherapy |
| |
| Cervical cancer | Cervical cancer patients receiving radiotherapy or chemo-radiotherapy |
| |
| Liver cancer | Liver cancer atients receiving radiotherapy or chemo-radiotherapy |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| next generation sequence | Genetic | targeted NGS of patients' pretreatment tumor biopsy samples using a 474-gene panel, which covers cancer- and radio-sensitivity-related mutations and SNPs. |
| Measure | Description | Time Frame |
|---|---|---|
| TTP | Time to progression | 2 years |
| OS | Time to death | 2 years |
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Inclusion Criteria:
Exclusion Criteria:
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Patients in the study with locally advanced solid tumors undergoing conventional fractionation or preoperative neoadjuvant radiotherapy (except stage IV patients and stage I patients to be treated with SBRT), including lung cancer, esophageal cancer, rectal cancer (neoadjuvant), cervical cancer, nasopharyngeal carcinoma and liver cancer
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Shuanghu Yuan Ph.D | Contact | +8613853106916 | yuanshuanghu@sina.com | |
| Yong M Shao, Ph.D | Contact | 025-58461736 | yang.shao@geneseeq.com |
| Name | Affiliation | Role |
|---|---|---|
| Jinming Yu, Ph.D | Shandong Cancer Hospital and Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Shandong Cancer Hospital and Institute | Recruiting | Jinan | Shandong | 250117 | China |
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| ID | Term |
|---|---|
| D011832 | Radiation Injuries |
| ID | Term |
|---|---|
| D014947 | Wounds and Injuries |
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tumor biopsy samples