Early Alpha-Fetoprotein Response Predicts Sustained Tumor Response Following Immune Checkpoint Inhibitors Combined with Targeted Therapy in Liver Cancer
2024

Early AFP Response Predicts Tumor Response in Liver Cancer Treatment

Sample size: 159 publication 10 minutes Evidence: moderate

Author Information

Author(s): Tian Jiahe, Pan Shida, Wang Yilin, Yu Yingying, Wang Siyu, Shen Yingjuan, Yang Luo, Liu Xiaomeng, Qiu Qin, Luan Junqing, Wang Fusheng, Meng Fanping

Primary Institution: Fifth Medical Center of the PLA General Hospital

Hypothesis

An early alpha-fetoprotein (AFP) response could indicate favorable tumor dynamics in response to therapy.

Conclusion

Early AFP response is a significant predictor of long-term survival in liver cancer patients treated with immune checkpoint inhibitors combined with targeted therapy.

Supporting Evidence

  • Patients with an early AFP response had a significantly reduced risk of early tumor progression.
  • The median overall survival in the early AFP response group was significantly longer than in the poor response group.
  • An early AFP response was associated with improved objective response rates.
  • The predictive model showed good accuracy with an AUC of 0.73.
  • Early AFP response can help identify high-risk patients for timely treatment adjustments.
  • Statistical analysis indicated that early AFP response is an independent protective factor.
  • Elevated baseline AFP levels were more common in the early progression group.

Takeaway

If a liver cancer patient shows a quick drop in AFP levels after starting treatment, it means they are likely to do better and live longer.

Methodology

This retrospective study analyzed clinical data from liver cancer patients receiving their first immune checkpoint inhibitor combined with targeted therapy.

Potential Biases

Potential biases may arise from the retrospective nature of the study and the selection of participants.

Limitations

The study is limited by its single-center design and relatively small sample size, which may affect the generalizability of the findings.

Participant Demographics

The average age of participants was 57 years, with 86.8% being male.

Statistical Information

P-Value

p = 0.019

Confidence Interval

95% CI: 0.13–0.84

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/biomedicines12122769

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