Figures & data
Figure 1. Lung cancer patient characteristics and hypoxia-related gene identification. (A) Consensus matrices of NSCLC patients for k=2 based on 205-hypoxia-related genes in three GEO cohort; (B) NSCLC cases are divided into two subtypes based on unsupervised analysis; (C) Differences in patient overall survival with two clusters; (D) Cox proportional hazard regression of survival months and survival status were performed using gene set enrichment scores for the six hypoxia-associated gene signatures. Log-rank test was used to determine significant p values
![Figure 1. Lung cancer patient characteristics and hypoxia-related gene identification. (A) Consensus matrices of NSCLC patients for k=2 based on 205-hypoxia-related genes in three GEO cohort; (B) NSCLC cases are divided into two subtypes based on unsupervised analysis; (C) Differences in patient overall survival with two clusters; (D) Cox proportional hazard regression of survival months and survival status were performed using gene set enrichment scores for the six hypoxia-associated gene signatures. Log-rank test was used to determine significant p values](/cms/asset/df709617-dd74-42c9-b339-177caff005cc/kbie_a_1987820_f0001_oc.jpg)
Figure 2. Immune Landscape Between Low and High Hypoxia Risk NSCLC Patients. (A) and (B) The 22 immune cells proportions obtained from 666 lung cancer patients in GEO databases; (C) Rows of the heatmap show expression of TME-infiltrating cell signatures calculated by xCell; (D) Kaplan-Meier plots of infiltrating immune cells with differential expression as described above
![Figure 2. Immune Landscape Between Low and High Hypoxia Risk NSCLC Patients. (A) and (B) The 22 immune cells proportions obtained from 666 lung cancer patients in GEO databases; (C) Rows of the heatmap show expression of TME-infiltrating cell signatures calculated by xCell; (D) Kaplan-Meier plots of infiltrating immune cells with differential expression as described above](/cms/asset/230f9ce3-1a6c-4986-b1cb-a1f0a0336d6f/kbie_a_1987820_f0002_oc.jpg)
Figure 3. Validation of hypoxia-related gene set in the TCGA cohort. (A) Consensus matrices of NSCLC patients for k=2 based on 205-hypoxia-related genes in the TCGA cohort; (B) Differences in patient overall survival with two clusters; (C) Establishment of a prognosis-predictive model dividing patients into high and low risk groups; (D) Differences in patient overall survival with high and low risk groups; (E) Time-dependent ROC curves for the risk score in the TCGA dataset for predicting 1, 3, and 5-year OS; (F) Nomogram based on risk score, age, gender, and stage; (G) Calibration plots of the nomogram for predicting the probability of OS at 5 years in the TCGA dataset
![Figure 3. Validation of hypoxia-related gene set in the TCGA cohort. (A) Consensus matrices of NSCLC patients for k=2 based on 205-hypoxia-related genes in the TCGA cohort; (B) Differences in patient overall survival with two clusters; (C) Establishment of a prognosis-predictive model dividing patients into high and low risk groups; (D) Differences in patient overall survival with high and low risk groups; (E) Time-dependent ROC curves for the risk score in the TCGA dataset for predicting 1, 3, and 5-year OS; (F) Nomogram based on risk score, age, gender, and stage; (G) Calibration plots of the nomogram for predicting the probability of OS at 5 years in the TCGA dataset](/cms/asset/e7c5b08d-f52c-4e84-bff5-44ffa99b4ad4/kbie_a_1987820_f0003_oc.jpg)
Figure 4. CXCL6 is the critical chemokine induced by hypoxic NSCLC cell to recruit TANs derived from NSCLC tissues. (A) Quantification of neutrophil migration as assessed by transwell assays; (B) and (C) Expression of CXCL6 in hypoxic or normoxic NSCLC cells was examined by real-time PCR and ELISA; (D) Quantification of neutrophil migration as assessed by transwell assays
![Figure 4. CXCL6 is the critical chemokine induced by hypoxic NSCLC cell to recruit TANs derived from NSCLC tissues. (A) Quantification of neutrophil migration as assessed by transwell assays; (B) and (C) Expression of CXCL6 in hypoxic or normoxic NSCLC cells was examined by real-time PCR and ELISA; (D) Quantification of neutrophil migration as assessed by transwell assays](/cms/asset/eed2b668-426a-4ff9-80e1-fdd6a2960a82/kbie_a_1987820_f0004_oc.jpg)
Figure 5. TANs derived from NSCLC tissues promote NSCLC cells proliferation, migration and invasion. (A), (B) and (C): NSCLC cells cocultured with TANs or alone were subjected to colony formation, wound healing, and transwell invasion assays; (D) Schematic illustration of the crosstalk between CXCL6-overexpressing NSCLC cells and TANs in the TME
![Figure 5. TANs derived from NSCLC tissues promote NSCLC cells proliferation, migration and invasion. (A), (B) and (C): NSCLC cells cocultured with TANs or alone were subjected to colony formation, wound healing, and transwell invasion assays; (D) Schematic illustration of the crosstalk between CXCL6-overexpressing NSCLC cells and TANs in the TME](/cms/asset/a6d6fb6e-2519-4f67-832e-1b189927dbd5/kbie_a_1987820_f0005_oc.jpg)