Immune checkpoint inhibitors have ushered in a new era of cancer treatment, bringing significant survival benefits to patients. However, some patients have accelerated tumor growth in the early stage of immunotherapy, called hyperprogression. The quality of life of patients with hyperprogression is seriously reduced, and there is no effective treatment at present, and the prognosis is extremely poor. Therefore, early identification of high-risk groups of hyperprogression is the key to prevent hyperprogression. However, there are no effective biomarkers to predict hyperprogression. By sequencing, proteomics and metabolomics analysis of clinical tissue and blood samples, we found that the level of SAA1 was significantly increased in patients with hyperprogression, and SAA1 was an effective marker for predicting hyperprogression in pan-cancer. We planned to conduct a multicenter, prospective cohort study to verify the reliability of SAA1 as a marker for predicting hyperprogression of immunotherapy in pan-cancer patients.
Study Type
OBSERVATIONAL
Enrollment
374
Nanfang hospital, Southern medical university
Guangzhou, Guangdong, China
RECRUITINGFujian Provinical Hospital
Fuzhou, China
NOT_YET_RECRUITINGHuizhou Central People's Hospital
Huizhou, China
NOT_YET_RECRUITINGJieyang people's hospital
Jieyang, China
NOT_YET_RECRUITINGMeizhou People's Hospital, Meizhou Academy of Medical Sciences Meizhou
Meizhou, China
NOT_YET_RECRUITINGIncidence of hyperprogression
Incidence of hyperprogression will be calculated.
Time frame: 2 years
Event-free survival
Event-free survival was defined as the time from the date of inclusion until hyperprogression or death from any cause.
Time frame: 3 years
Progression-free survival
Progression-free survival was defined as the time from the date of inclusion until disease progress or death from any cause.
Time frame: 3 years
Overall survival
Overall survival was defined as the time from the date of inclusion until death from any cause.
Time frame: 3 years
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