Extended Data Fig. 6: HDAC6 scores in other human cancers. | Nature Cancer

Extended Data Fig. 6: HDAC6 scores in other human cancers.

From: Network-based assessment of HDAC6 activity predicts preclinical and clinical responses to the HDAC6 inhibitor ricolinostat in breast cancer

Extended Data Fig. 6

(a) Correlation between HDAC6 regulon in different tumor types. The tumors sets are the same as in Fig. 4c. The number of patient sample for each set is indicated there. LAML: Acute Myeloid Leukemia; LIHC: Liver Hepatocellular Carcinoma; UVM: Uveal Melanoma; KIRP: Kidney Renal Papillary Cell Carcinoma; PCPG: Pheochromocytoma and Paraganglioma; DLBC: Diffuse Large B-Cell Lymphoma; ACC: Adrenocortical Carcinoma; UCS: Uterine Carcinosarcoma; KIRC: Kidney Renal Clear Cell Carcinoma; THYM: Thymoma; CHOL: Cholangiocarcinoma; SKCM: Skin Cutaneous Melanoma; CRC: Colorectal Carcinoma; LGG: Brain Lower Grade Glioma; UCEC: Uterine Corpus Endometrial Carcinoma; KICH: Kidney Chromophobe; MESO: Mesothelioma; TGCT: Testicular Germ Cell Tumors; GBM: Glioblastoma; PRAD: Prostate Adenocarcinoma; CESC: Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma; BLCA: Bladder Urothelial Carcinoma; SARC: Sarcoma; OV: Ovarian Serous Cystadenocarcinoma; THCA: Thyroid Carcinoma; ESCA: Esophageal Carcinoma; BRCA: BC; LUAD: Lung Adenocarcinoma; HNSC: Head and Neck Squamous Cell Carcinoma; PAAD: Pancreatic Adenocarcinoma; STAD: Stomach Adenocarcinoma; LUSC: Lung Squamous Cell Carcinoma. P value was estimated by two-tailed Fisher’s exact test. (b) List with all the cell lines evaluated by dose–response to ricolinostat and HDAC6 scores. The correlation (R) and P value between the response to ricolinostat and HDAC6 scores were estimated by two-tailed Spearman correlation test. (c) Graphic showing the correlation between the HDAC6 score and the response to ricolinostat in individual cell types (only tumor types with more than 6 cell lines are shown). N = 8 individual independent experiments for each ricolinostat dose. The curve was fitted by stat_smooth algorithsm using lm smoothing method and y~log2(x) formula.

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