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. Author manuscript; available in PMC: 2022 Nov 14.
Published in final edited form as: Cancer Res Commun. 2022 Jun 24;2(6):503–517. doi: 10.1158/2767-9764.CRC-22-0168

Fig. 2. Across cancer cell lines, repstress score profiles replication stress at a functional network level.

Fig. 2.

(A), Dot plot showing distribution of repstress score across 839 cancer cell lines from 20 cancer types represented in the CCLE

A black bar in each cancer type indicates the mean repstress score within each cancer type. Dash line indicates zero of Z-normalized repstress score across all of cancer cell lines in CCLE. The numbers with cancer type labels on x-axis indicate the numbers of cell lines included.

(B), Across cancers, repstress score correlates with expression of representative genes involved in: (i) increasing replication stress tolerance by protecting replication forks (TIMELESS, CLSPN), (ii) solving topological problems during replication (TOP2A), (iii) facilitating the repair and restart of stalled replication forks (FANCD2), (iv) resolving barriers to replication fork progression (RNASEH2A), and (v) DNA damage repair factors (POLQ and PARP1)

Correlations are analyzed in CellMiner CDB (16). Spearman’s correlation coefficients (r) are indicated. All of P values by Spearman’s correlation test are < 0.0001.

(C), (D), Dynamics of normalized repstress score with treatment of gemcitabine (C) and sorafenib (D) in NCI60 cell lines

Dynamics of gene expression pre- and post-treatment are retrieved from The NCI Transcriptional Pharmacodynamics Workbench (42). *: P < 0.05; ****: P < 0.0001 by Wilcoxon signed rank test. For detailed method, please refer supplementary text in Supplementary Materials.

(E), Heatmap of sensitive or resistant agents in cell lines with high vs. low repstress score in the CTRP

Drug activity scores indicate calculated area under the curve over a 16-point concentration range using an automated, high-throughput workflow fitting concentration-response curves (43). The drug activity score are retrieved from CellMiner CDB (16) and z score-normalized in the heatmap. Cell lines are sorted by repstress score from high (left) to low (right). The heatmap shows 30 mostly sensitive compounds in high repstress score cell lines, and all of sensitive compounds in low repstress score cell lines with false discovery rate of < 5%. For detailed method, please refer supplementary text in Supplementary Materials.

(F), Heatmap of Pearson’s correlations between gene signature scores and activities of drugs targeting replication stress

The color in each column indicates log-transformed P value of Pearson’s correlation between annotated gene signature score and drug activity score. The number in each column shows Pearson’s correlation coefficient between them. CCP, CCS, CINSARC, and CES scores are calculated as previously reported (39,4547).

(G), Correlations between IC50 of M4344 (an ataxia telangiectasia and Rad3-related inhibitor) and repstress score in different cancer type cell lines

The IC50 of M4344 in different cancer type cell lines was examined in a previous report (48).

(H), Comparison of Spearman’s correlations between M4344 IC50 and scores of repstress and other cell proliferation gene signatures

Each bar represents log-transformed P value of Spearman’s correlation between annotated gene signature and M4344 IC50. The IC50 of M4344 in different cancer type cell lines is examined in a previous report (48). CCP, CCS, CINSARC, and CES scores are calculated as previously reported (39,4547).

Abbreviations: CCLE; Cancer Cell Line Encyclopedia; SCLC: small cell lung cancer; NHL: non-Hodgkin’s lymphoma; LEUK: leukemia; SARC: sarcoma; UCEC: uterine endometrioid cancer; EGC: esophagogastric adenocarcinoma; COADREAD: colorectal adenocarcinoma; HCC: hepatocellular carcinoma; HL: Hodgkin’s lymphoma; BLCA: bladder urothelial carcinoma; NSCLC: non-small cell lung cancer; DIFG: diffuse glioma; MESO: mesothelioma; ESCC: Esophageal squamous cell carcinoma; BRCA: breast carcinoma; THCA: Thyroid cancer; SKCM: skin melanoma; OV: ovarian cancer; PAAD: pancreatic adenocarcinoma; RCC: renal cell carcinoma; FC: fold change; hr: hour; CTRP: Cancer Therapeutics Response Portal; AURKA, B: aurora kinase A and B; PLK1: polo-like kinase-1; TOP1: topoisomerase I; EGFR: Epidermal growth factor receptor; MEK1, 2: mitogen-activated protein kinase kinase 1 and 2. IC50: half maximal inhibitory concentration; CCP: cell cycle progression; CCS: cell cycle score; CINSARC: complexity index in sarcomas; CES: Centromere and kinetochore gene Expression Score; IC50: half maximal inhibitory concentration.