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HMDLS, based on hematological markers, could effectively distinguish the long-term efficacy of AGC patients after NAT. The predictive performance of nomogram-HMDLS was better than ypTNM stage, achieving better prognostic stratification and tumor treatment response prediction.
In this research, we incorporated a total of 320 patients from the Union Hospital of Fujian Medical University to form the training cohort (TC). Additionally, we included 122 patients from four distinct medical centers to serve as the external validation cohort (EVC). The Hematological Marker Dynamic Load (ΔHMDL) was determined using the following formula: ΔHMDL = (HMDL pre-surgery - HMDL pre-NAT) / HMDL pre-NAT, where HMDL represents the hematological marker levels before surgery and before the initiation of Neoadjuvant Therapy (NAT), respectively.
Employing LASSO regression analysis, we identified the most influential and statistically significant ΔHMDL indicators. These were then utilized to compute the Hematological Marker Dynamic Load Score (HMDLS), defined as: HMDLS = Σ(LASSO coefficient * ΔHMDL), where the summation encompasses the products of the LASSO-estimated coefficients and the corresponding ΔHMDL values.
Further, leveraging the outcomes of a multivariate COX regression analysis, we integrated clinical parameters with the HMDLS to formulate a predictive model, termed the Nomogram-HMDLS model. The efficacy of this model in terms of predictive accuracy, clinical utility, and calibration was meticulously assessed and confirmed through several metrics, including the concordance index (C-index), Receiver Operating Characteristic (ROC) curve analysis, decision curve analysis (DCA), and calibration curves.
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| Measure | Description | Time Frame |
|---|---|---|
| 3-year OS | Overall survival, death, survival with tumor | 3-year OS or 36 months |
| 3-year DFS | Disease-free survival, death,recurrence | 3 years DFS or 36 months |
| Tumor Regression Grade | a grade system evaluates the pathological response based on the degree of tumor tissue regression after NAT. | 3 years or 36 months |
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Inclusion Criteria:
Exclusion Criteria:
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In this study, we retrospectively collected clinicopathologic data and hematological markers before Neoadjuvant therapy and surgery in AGC patients who had undergone Neoadjuvant therapy and received radical gastrectomy in five hospitals.
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| Name | Affiliation | Role |
|---|---|---|
| Changming Huang | Fujian Medical University Union Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Gastric Surgery, Fujian Medical University Union Hospital | Fuzhou | Fujian | China |
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| ID | Term |
|---|---|
| D013274 | Stomach Neoplasms |
| D007249 | Inflammation |
| ID | Term |
|---|---|
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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| D004066 |
| Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |