Comprehensive Analysis of Clinicopathological and Molecular Features to Predict Anti-PD-1-Based Therapy Efficacy in Patients with Advanced Gastric Signet Ring Cell Carcinoma
Abstract
:1. Introduction
2. Patients and Methods
2.1. Patients
2.2. Molecular Characteristics
2.3. Assessment and Statistical Analysis
3. Results
3.1. Patients’ Characteristics
3.2. Molecular Alteration in Primary and Metastatic Tissues
3.3. Clinicopathological and Molecular Characteristics Associated with Anti-PD-1 Response in SRCC
3.4. Clinicopathological and Molecular Factors to Predict PFS
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
References
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N = 71 | All | Responder | Non-Responder | ORR | p-Value | |
---|---|---|---|---|---|---|
Age | <65 | 34 | 15 | 19 | 44.1% | 0.702 |
≥65 | 37 | 18 | 19 | 48.6% | ||
Gender | Male | 47 | 20 | 27 | 42.5% | 0.353 |
Female | 24 | 13 | 11 | 54.1% | ||
ECOG PS | 0 | 21 | 16 | 5 | 76.1% | 0.001 |
≥1 | 50 | 17 | 33 | 34.0% | ||
Primary tumor location | EGJ/Cardia | 11 | 4 | 7 | 36.3% | 0.622 |
Body | 32 | 17 | 15 | 53.1% | ||
Antrum | 24 | 11 | 13 | 45.8% | ||
Unknown | 4 | 1 | 3 | 25.0% | ||
Differentiation | Moderately | 2 | 1 | 1 | 50.0% | 0.674 |
Poorly | 65 | 31 | 34 | 48.4% | ||
Unknown | 4 | 1 | 3 | 25.0% | ||
Lauren classification | Intestinal | 0 | 0 | 0 | - | 0.317 |
Diffuse | 64 | 31 | 33 | 48.4% | ||
Mixed | 7 | 2 | 5 | 28.5% | ||
Previous gastrectomy | Yes | 8 | 3 | 5 | 37.5% | 0.589 |
No | 63 | 30 | 33 | 47.6% | ||
Lymph node metastasis only | Yes | 18 | 14 | 4 | 77.7% | 0.002 |
No | 53 | 19 | 34 | 35.8% |
Characteristics | Detected | Responder | Non-Responder | ORR | p-Value | |
---|---|---|---|---|---|---|
PD-L1 CPS | ≥5 | 40 | 15 | 25 | 37.5% | 0.085 |
<5 | 31 | 18 | 13 | 58.0% | ||
HER-2+ | Yes | 5 | 4 | 1 | 80.0% | 0.119 |
No | 66 | 29 | 37 | 43.9% | ||
dMMR | Yes | 4 | 4 | 0 | 100.0% | 0.027 |
No | 67 | 29 | 38 | 43.2% | ||
EBV+ | Yes | 4 | 3 | 1 | 75.0% | 0.197 |
No | 55 | 23 | 32 | 41.8% | ||
TMB | ≥10 | 9 | 6 | 3 | 66.6% | 0.494 |
<10 | 37 | 20 | 17 | 54.0% | ||
TP53 mutation | Yes | 24 | 13 | 11 | 54.1% | 0.736 |
No | 22 | 13 | 9 | 59.0% | ||
PIK3CA mutation | Yes | 7 | 3 | 4 | 42.8% | 0.428 |
No | 39 | 23 | 16 | 58.9% | ||
CDH1 mutation | Yes | 13 | 6 | 7 | 46.1% | 0.373 |
No | 33 | 20 | 13 | 60.6% | ||
MET mutation | Yes | 3 | 1 | 2 | 33.3% | 0.402 |
No | 43 | 25 | 18 | 58.1% | ||
KRAS mutation | Yes | 4 | 2 | 2 | 50.0% | 0.783 |
No | 42 | 24 | 18 | 57.1% | ||
FGFR amplification | Yes | 2 | 1 | 1 | 50.0% | 0.849 |
No | 44 | 25 | 19 | 56.8% | ||
MYC amplification | Yes | 5 | 3 | 2 | 60.0% | 0.868 |
No | 41 | 23 | 18 | 56.0% | ||
ERBB2 amplification | Yes | 4 | 1 | 3 | 25.0% | 0.183 |
No | 42 | 25 | 17 | 59.5% |
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Hu, Y.; Chen, N.; Huang, R.-Z.; Chen, D.-L. Comprehensive Analysis of Clinicopathological and Molecular Features to Predict Anti-PD-1-Based Therapy Efficacy in Patients with Advanced Gastric Signet Ring Cell Carcinoma. J. Pers. Med. 2023, 13, 115. https://doi.org/10.3390/jpm13010115
Hu Y, Chen N, Huang R-Z, Chen D-L. Comprehensive Analysis of Clinicopathological and Molecular Features to Predict Anti-PD-1-Based Therapy Efficacy in Patients with Advanced Gastric Signet Ring Cell Carcinoma. Journal of Personalized Medicine. 2023; 13(1):115. https://doi.org/10.3390/jpm13010115
Chicago/Turabian StyleHu, Yan, Nuo Chen, Ren-Ze Huang, and Dong-Liang Chen. 2023. "Comprehensive Analysis of Clinicopathological and Molecular Features to Predict Anti-PD-1-Based Therapy Efficacy in Patients with Advanced Gastric Signet Ring Cell Carcinoma" Journal of Personalized Medicine 13, no. 1: 115. https://doi.org/10.3390/jpm13010115
APA StyleHu, Y., Chen, N., Huang, R. -Z., & Chen, D. -L. (2023). Comprehensive Analysis of Clinicopathological and Molecular Features to Predict Anti-PD-1-Based Therapy Efficacy in Patients with Advanced Gastric Signet Ring Cell Carcinoma. Journal of Personalized Medicine, 13(1), 115. https://doi.org/10.3390/jpm13010115