Figure 4 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma

Autor: Anand D. Jeyasekharan, Claudio Tripodo, Siok-Bian Ng, Yen Lin Chee, Wee Joo Chng, Kasthuri Kannan, Gayatri Kumar, Jinmiao Chen, Jason J. Pitt, David W. Scott, Anja Mottok, Pedro Farinha, Daniel J. Hodson, Irina Mohorianu, Ilias Moutsopoulos, Hendrik F.P. Runge, Laura J. Gay, Alessia Bottos, Carl Harris, Hyungwon Choi, Joseph D. Khoury, Shaoying Li, Shih-Sung Chuang, Sheng-Tsung Chang, Susan Swee-Shan Hue, Soo-Yong Tan, Nicholas F. Grigoropoulos, Chandramouli Nagarajan, Soon Thye Lim, Tiffany Tang, Choon Kiat Ong, Joanne Lee, Esther Hian Li Chan, Limei Poon, Sanjay De Mel, Clementine Xin Liu, Phuong Mai Hoang, Shruti Sridhar, Yanfen Peng, Fan Shuangyi, Patrick Jaynes, Michal Marek Hoppe
Rok vydání: 2023
DOI: 10.1158/2159-8290.22758729
Popis: Validation of prognostic significance of the M+2+6− subpopulation metric in gene-expression datasets. A, Distribution of single oncogene positivity in DLBCL cohorts as assessed by mfIHC (see Supplementary Fig. S9A and S9B). B, Impact of subpopulation metrics in GEP datasets on OS. Pooled univariate Cox PH model analysis; metric was used as a continuous variable in the model at 5% increments. HR per 5% increment with 95% CI is shown; CI are proportional on both tails but are capped at the graph's edges. Pooled P values were Bonferroni corrected to adjust for multiple testing and are shown for each subpopulation. C, Kaplan–Meier OS analysis of GEP cohorts stratified uniformly across absolute 15% M+2+6− metric into -high and -low groups. Log-rank test, shading denotes 95% CI. Total patient numbers in each group are shown. CMMC, Chi-Mei Medical Center.
Databáze: OpenAIRE