Additional file 1 of Integrative bioinformatics analysis of WDHD1: a potential biomarker for pan-cancer prognosis, diagnosis, and immunotherapy

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Cui, Zhiwei;Zou, Fan;Wang, Rongli;Wang, Lijun;Cheng, Feiyan;Wang, Lihui;Pan, Rumeng;Guan, Xin;Zheng, Nini;Wang, Wei

Description

Additional file 1: Figure S1. WDHD1 mRNA expression between tumor and normal tissues in 20 independent cohorts from the GEO database. T is short for tumor tissues, and N is short for normal tissues (* p < 0.05, ** p < 0.01, *** p < 0.001). Figure S2. WDHD1 mRNA expression between tumor and normal tissues in additional 22 independent cohorts from the GEO database (* p < 0.05, ** p < 0.01, *** p < 0.001). Figure S3. WDHD1 protein expression between normal and tumor tissues by the UALCAN (**** p < 0.0001, ns, not statistically significant). Figure S4. The ROC curves indicate that WDHD1 has an excellent diagnostic value in the TCGA pan-cancer cohort. The true positive rate (TPR) is shown on the Y-axis and the false positive rate (FPR) is shown on the X-axis. Diagnostic accuracy increases with a larger area under the curve (AUC). Figure S5. The diagnostic value of WDHD1 was evaluated using the GEO dataset (41 independent cohorts in total) as external validation. Figure S6. The relationship between WDHD1 and disease-specific survival (DSS). (A) A DSS forest plot of the pan-cancer cohort. Tumors are arranged according to different origins of tissue (color distinction). The association between WDHD1 expression and patient DSS in KIRP (B), BLCA (C), LIHC (D), PAAD (E), LGG (F), LUAD (G), ACC (H), MESO (I), SARC (J), and SKCM (K) is analyzed using Kaplan-Meier methods. Figure S7. The relationship between WDHD1 and progression-free interval (PFI). (A) A PFI forest plot of the pan-cancer cohort. The association between WDHD1 expression and patient PFI in KICH (B), PRAD (C), BLCA (D), OV (E), PAAD (F), LIHC (G), LGG (H), GBM (I), LUAD (J), ACC (K), PCPG (L), MESO (M), and SARC (N) is analyzed using Kaplan-Meier methods. Figure S8. WDHD1 survival analysis using 26 independent cohorts from the GEO datasets. In most cases, patient with high WDHD1 expression has a significant worse prognosis. Figure S9. Survival analysis of WDHD1 from the PrognoScan database. A total of 16 independent cohorts are included in the research. Figure S10. Survival analysis of WDHD1 from the PrognoScan database. Additional 11 independent cohorts are included in the research. Figure S11. TIDE score of WDHD1 high and low expression groups in BLCA (A), LGG (B), LIHC (C), LUAD (D), and PAAD (E). * p <0.05, **** p < 0.0001, ns, not statistically significant. Figure S12. The potential correlation between the mutation status of WDHD1 and overall survival (OS) (A), disease-specific survival (DSS) (B), disease-free survival (DFS) (C), and progression-free survival (PFS) (D) of the TCGA PanCancer cohort.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

Assigned Domain

Subfield

Oncology

Field

Medicine

Domain

Health Sciences

Confidence Score

50%

Source

Scholar Data Model

Keywords

BiochemistryMedicineGeneticsFOS: Biological sciencesMolecular BiologyBiological Sciences not elsewhere classifiedCancerMental Health

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00