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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Predicting ipsilateral supraclavicular lymph node pathological complete response: nomogram based on the inflammatory

Chen Zhou1,2,3, Xian Wu4, Rongruo Lin1,2

  • 1Division of Breast Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China.

Frontiers in Oncology
|November 26, 2024
PubMed
Summary
This summary is machine-generated.

Predicting invasive squamous cell carcinoma (ISLN) pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) is crucial. Inflammatory markers, tumor markers, and hormone receptor status effectively predict ISLN pCR and improve survival outcomes.

Keywords:
inflammatory markersipsilateral supraclavicular lymph nodes (ISLNs)neoadjuvant chemotherapy (NAC)nomogrampathological complete response (PCR)prognostic factors

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Area of Science:

  • Oncology
  • Biomarkers
  • Chemotherapy

Background:

  • Prediction of invasive squamous cell carcinoma (ISLN) pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) using inflammatory markers is understudied.
  • The prognostic value of these markers for ISLN pCR remains largely uninvestigated.

Purpose of the Study:

  • To develop and validate a predictive model for ISLN pCR after NAC.
  • To assess the prognostic significance of ISLN pCR.

Main Methods:

  • A nomogram was constructed using logistic regression in a derivation cohort (n=120) and validated in an independent cohort (n=45).
  • Predictors included pretreatment neutrophil-to-lymphocyte ratio (NLR), hormone receptor (HR) status, systemic immune-inflammation index (SII), CEA, CA15-3, and anti-HER2 therapy.
  • Model accuracy was evaluated using ROC curves and AUC values.

Main Results:

  • The nomogram demonstrated high predictive accuracy with AUC values of 0.906 (training), 0.888 (testing), and 0.828 (validation).
  • Pretreatment NLR, HR status, SII, CEA, CA15-3, and anti-HER2 therapy were significant predictors of ISLN pCR.
  • Achieving ISLN pCR was significantly associated with improved patient prognosis.

Conclusions:

  • A combination of inflammatory and tumor markers, along with HR status and anti-HER2 therapy, effectively predicts ISLN pCR.
  • ISLN pCR is a significant indicator of improved survival outcomes in patients receiving NAC.