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Table 4 Gene expression associated with lymph node metastasis and clinical outcome.

From: Functional microarray analysis suggests repressed cell-cell signaling and cell survival-related modules inhibit progression of head and neck squamous cell carcinoma

Logistic regression model
Response variable Gene Odds ratio C.I.* 95% p-value
Lymph node metastasis** INHBA (> 4.88) 5.6 1.5-21.8 0.012
  SERPINA3 (< 10.74) 4.0 1.0-15.4 0.044
Cox proportional hazards model
Response variable Gene Hazard ratio C.I.* 95% p-value
Recurrence-free survival*** BST2 (< 3.07) 8.9 1.2-68.7 0.035
  1. HNSCC patients were classified according to pathologic lymph node status (positive or negative) or tumor recurrence (recurrent or non-recurrent tumor) after treatment (surgery with neck dissection followed by radiotherapy) and samples from primary tumors were collected. Gene expression was assessed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Logistic regression model was employed to identify independent risk factor for lymph node metastasis (pN+). Cox proportional hazards model was employed to identify independent risk factors for recurrence.
  2. * C.I.: confidence interval
  3. ** Logistic regression model was adjusted by the following variables: CCL20 expression and primary site.
  4. *** Cox proportional hazards model was adjusted by the following variables: CCL20 expression, primary site, and clinical staging.