The Claim
A prognostic nomogram that integrates a copper-induced cell death-related lncRNA risk score with clinical variables (age, stage, gender) predicts 1-, 3-, and 5-year survival in lung squamous cell carcinoma with higher accuracy than clinical variables alone, as measured by area under the ROC curve and concordance index.
What the research says
Not yet evaluated
We are still looking at what the research says.
These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.
A mathematical model combining a genetic risk score related to copper-induced cell death with patient age, cancer stage, and gender more accurately predicts survival at 1, 3, and 5 years in lung squamous cell carcinoma than using age, stage, and gender alone.
See the scientific wording
A prognostic nomogram integrating a copper-induced cell death-related lncRNA risk score with clinical variables (age, stage, gender) predicts 1-, 3-, and 5-year survival in lung squamous cell carcinoma with higher accuracy than clinical variables alone, as measured by area under the ROC curve and concordance index.
Abnormal copper levels in lung tumor cells trigger changes in long RNA molecules that control cell death, making cancer cells more likely to survive and spread, which shortens patient survival time.
What the research says
1 studyScientists created a new tool that combines a patient’s genetic risk score with their age and cancer stage to better predict how long they might live. This tool worked better than using age and stage alone.
Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies
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