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Original Research

Nomogram Incorporating the WNT/β-Catenin Signaling Pathway for Predicting the Survival of Cutaneous Melanoma

, , ORCID Icon, , , , , & show all
Pages 2751-2761 | Published online: 23 Jun 2021

Figures & data

Table 1 Criteria for Immunohistochemistry Score

Figure 1 Immunohistochemical staining of CM and control tissue. In the CM tissue, positive VEGF expression (A), positive β-catenin expression in the cytoplasm and nuclei (B), and negative DKK1 expression (C) were displayed. In the control tissue, negative VEGF expression (D), positive β-catenin expression in the cell membrane (E), and positive DKK1 expression (F) were displayed. Positive cells exhibited brown cytoplasmic staining (at 400 × magnification).

Abbreviations: CM, cutaneous melanoma; VEGF, Vascular Endothelial Growth Factor; DKK1, Dickkopf 1.
Figure 1 Immunohistochemical staining of CM and control tissue. In the CM tissue, positive VEGF expression (A), positive β-catenin expression in the cytoplasm and nuclei (B), and negative DKK1 expression (C) were displayed. In the control tissue, negative VEGF expression (D), positive β-catenin expression in the cell membrane (E), and positive DKK1 expression (F) were displayed. Positive cells exhibited brown cytoplasmic staining (at 400 × magnification).

Figure 2 KM analysis for the OS probability of CM patients. The 1-, 3-, 5- year OS rates in the training cohort (78.4%, 56.3%, 43.9%) and the validation cohort (77.8%, 51.6%, 41.0%) were similar.

Abbreviations: KM, Kaplan-Meier; OS, overall survival; CM, cutaneous melanoma.
Figure 2 KM analysis for the OS probability of CM patients. The 1-, 3-, 5- year OS rates in the training cohort (78.4%, 56.3%, 43.9%) and the validation cohort (77.8%, 51.6%, 41.0%) were similar.

Table 2 Association of Survival with Clinical and Pathological Parameters in CM Patients Within 5 Years

Figure 3 KM analyses of indicators in predicting the prognosis of CM patients within 5 years. KM curves at different classifications of age (A), sex (B), ulceration (C), lymph node metastasis (D), distant metastasis (E), Breslow thickness (F), pathologic type (G), Clark level (H), satellite lesions (I), history of misdiagnosis (J), range of surgical resection (K), dermal mitoses (L), interferon therapy (M), VEGF (N), β-catenin (O), and DKK1 (P) were shown. It revealed that ulceration, distant metastasis, lymph node metastasis, Breslow thickness, Clark levels, dermal mitoses, β-catenin, VEGF, and DKK1 were associated with the OS.

Abbreviations: KM, Kaplan-Meier; CM, cutaneous melanoma; VEGF, vascular endothelial growth factor; DKK1, Dickkopf 1; OS: overall survival.
Figure 3 KM analyses of indicators in predicting the prognosis of CM patients within 5 years. KM curves at different classifications of age (A), sex (B), ulceration (C), lymph node metastasis (D), distant metastasis (E), Breslow thickness (F), pathologic type (G), Clark level (H), satellite lesions (I), history of misdiagnosis (J), range of surgical resection (K), dermal mitoses (L), interferon therapy (M), VEGF (N), β-catenin (O), and DKK1 (P) were shown. It revealed that ulceration, distant metastasis, lymph node metastasis, Breslow thickness, Clark levels, dermal mitoses, β-catenin, VEGF, and DKK1 were associated with the OS.

Figure 4 Multivariate COX regression analysis of independent indicators in predicting the prognosis of CM patients.

Abbreviations: CM, cutaneous melanoma; VEGF, vascular endothelial growth factor; DKK1, Dickkopf 1; HR, hazard ratio; 95% CI, 95% confidence interval.
Figure 4 Multivariate COX regression analysis of independent indicators in predicting the prognosis of CM patients.

Figure 5 Nomogram predicting the prognosis of CM patients.

Abbreviations: CM, cutaneous melanoma; VEGF, vascular endothelial growth factor; DKK1, Dickkopf 1; HR, hazard ratio; 95% CI, 95% confidence interval.
Figure 5 Nomogram predicting the prognosis of CM patients.

Figure 6 Internal and external validation of the nomogram predicting the OS of CM patients. The AUCs in the training cohort and validation cohort were 0.914, 0.852, 0.785 (A–C) and 0.904, 0.840, 0.773 (G–I), respectively, indicating good discrimination. The calibration plots in the training and validation datasets were shown in (D–F) and (J–L). Both indicated that the nomogram-predicted prognosis compared well with the actual prognosis.

Abbreviations: OS, overall survival; CM, cutaneous melanoma; AUC, area under the curve.
Figure 6 Internal and external validation of the nomogram predicting the OS of CM patients. The AUCs in the training cohort and validation cohort were 0.914, 0.852, 0.785 (A–C) and 0.904, 0.840, 0.773 (G–I), respectively, indicating good discrimination. The calibration plots in the training and validation datasets were shown in (D–F) and (J–L). Both indicated that the nomogram-predicted prognosis compared well with the actual prognosis.

Figure 7 ROC curves of different models predicting the 1-, 3-, and 5- year OS of CM patient (A–C). The AUCs of the nomogram with the Wnt/β-catenin signaling pathway (0.914, 0.852, 0.785) were highest compared with the nomogram without the Wnt/β-catenin signaling pathway (0.693, 0.640, 0.615) and the TNM stage (0.726, 0.693, 0.673).

Abbreviations: ROC, receiver operating characteristic, OS, overall survival, CM, cutaneous melanoma, AUC, area under the curve, TNM, Tumor-Node-Metastasis.
Figure 7 ROC curves of different models predicting the 1-, 3-, and 5- year OS of CM patient (A–C). The AUCs of the nomogram with the Wnt/β-catenin signaling pathway (0.914, 0.852, 0.785) were highest compared with the nomogram without the Wnt/β-catenin signaling pathway (0.693, 0.640, 0.615) and the TNM stage (0.726, 0.693, 0.673).