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Original Research

Immune inflammation indicators in anal cancer patients treated with concurrent chemoradiation: training and validation cohort with online calculator (ARC: Anal Cancer Response Classifier)

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Pages 3631-3642 | Published online: 26 Apr 2019

Figures & data

Table 1 Patient characteristics

Figure 1 Univariate analysis of progression-free survival and overall survival.

Abbreviations: NLR, neutrophil-lymphocyte ratio; PLR, platelet-lymphocyte ratio; SII, systemic index of inflammation.

Figure 1 Univariate analysis of progression-free survival and overall survival.Abbreviations: NLR, neutrophil-lymphocyte ratio; PLR, platelet-lymphocyte ratio; SII, systemic index of inflammation.

Figure 2 SII value for category of response.

Abbreviation: SII, systemic index of inflammation.

Figure 2 SII value for category of response. Abbreviation: SII, systemic index of inflammation.

Figure 3 Progression-free survival (left) and overall survival (right) by pre-treatment SII.

Abbreviations: NLR, neutrophil-lymphocyte ratio; PLR, platelet-lymphocyte ratio; SII, systemic index of inflammation.

Figure 3 Progression-free survival (left) and overall survival (right) by pre-treatment SII.Abbreviations: NLR, neutrophil-lymphocyte ratio; PLR, platelet-lymphocyte ratio; SII, systemic index of inflammation.

Figure 4 Nomogram with predictors of response to chemoradiotherapy.

Abbreviations: Hb, hemoglobin; SII, systemic index of inflammation.

Figure 4 Nomogram with predictors of response to chemoradiotherapy.Abbreviations: Hb, hemoglobin; SII, systemic index of inflammation.

Figure S1 Calibration plot of the external validation of the nomogram.

Figure S1 Calibration plot of the external validation of the nomogram.
Figure S2 Progression-free survival and overall survival in the external validation.
Figure S2 Progression-free survival and overall survival in the external validation.

Table S1 Treatment characteristics

Table S2 Results of univariate analysis of the previous study

Table S3 Results of univariate and multivariate logistic model for prediction of nonresponse