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In multivariate analysis, these five variables, including the 24-gene model-based classification, retained significant prognostic value, suggesting that our IBC signature is an independent prognostic feature in nIBC, with a HR for relapse for "IBC-like" tumors vs "nIBC-like" tumors equal to 1.34 ([95%CI 1.06 1.70], p = 0.015).

In multivariate analysis these associations persisted.

In multivariate analysis, these associations remained statistically significant.

In the multivariate analysis, these four factors were also significant.

In a multivariate analysis, these co-expressions were independent prognostic indicators for DSS (p = 0.016).

After adjusted in the multivariate analysis, these variables persistently showed significant.

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Multivariate analysis using these 10 parameters showed that BMI, ICU stay, and Morel-Lavallée lesion were independently significant risk factors for SSI.

In reality there are a multiplicity of factors that do influence the mother in making such a decision, thus, the study goes a step further to carry out a multivariate analysis when these variables are allowed to interplay.

A summary of this analysis can be found in Table 2. Similarly multivariate analysis ranked these variables in the same order, with VDAC1 being the only independent factor (p<0.001).

Patients with uterine sarcomas and vulvar cancers were excluded from the individual Cox regression modeling because multivariate analysis of these cancers resulted in no significant predictors of survival for any of the demographic, clinical or treatment variables.

Multivariate analysis omitting these subjects, however, produced similar results.

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