Figure 8U2OS wild-type cells were treated with a custom made anti-cancer library previously described Bezu et al, 2018() at 3 μM, supplemented with 500 μM oxaliplatin (OXA), 150 μM cisplatin, 50 μM resveratrol and 50 μM spermidine. For assessing transcription, cells were pre-treated for 1.5 h with the library followed by 1 h with the same drugs in which EU was added. The correlations between transcription inhibition and ICD prediction score Known immunogenic drugs are indicated with colors: dactinomycin (DACT), mitoxantrone (MTX), doxorubicin (DOXO), daunorubicin (DAUN), OXA, docetaxel (DOC), paclitaxel (PACL), vinblastine (VB), vincristine (VC) and vinorelbine (VR) U2OS wild-type cells were treated with a custom made anti-cancer library previously described Bezu et al, 2018() at 3 μM, supplemented with 500 μM oxaliplatin (OXA), 150 μM cisplatin, 50 μM resveratrol and 50 μM spermidine. For assessing transcription, cells were pre-treated for 1.5 h with the library followed by 1 h with the same drugs in which EU was added. The correlations between transcription inhibition and peIF2α expression Known immunogenic drugs are indicated with colors: dactinomycin (DACT), mitoxantrone (MTX), doxorubicin (DOXO), daunorubicin (DAUN), OXA, docetaxel (DOC), paclitaxel (PACL), vinblastine (VB), vincristine (VC) and vinorelbine (VR) U2OS wild-type cells were treated with a custom made anti-cancer library previously described Bezu et al, 2018() at 3 μM, supplemented with 500 μM oxaliplatin (OXA), 150 μM cisplatin, 50 μM resveratrol and 50 μM spermidine. For assessing transcription, cells were pre-treated for 1.5 h with the library followed by 1 h with the same drugs in which EU was added. The correlations between transcription inhibition and CALR exposure Known immunogenic drugs are indicated with colors: dactinomycin (DACT), mitoxantrone (MTX), doxorubicin (DOXO), daunorubicin (DAUN), OXA, docetaxel (DOC), paclitaxel (PACL), vinblastine (VB), vincristine (VC) and vinorelbine (VR) U2OS wild-type cells were treated with a custom made anti-cancer library previously described Bezu et al, 2018() at 3 μM, supplemented with 500 μM oxaliplatin (OXA), 150 μM cisplatin, 50 μM resveratrol and 50 μM spermidine. For assessing transcription, cells were pre-treated for 1.5 h with the library followed by 1 h with the same drugs in which EU was added. The correlations between transcription inhibition and ATP decrease Known immunogenic drugs are indicated with colors: dactinomycin (DACT), mitoxantrone (MTX), doxorubicin (DOXO), daunorubicin (DAUN), OXA, docetaxel (DOC), paclitaxel (PACL), vinblastine (VB), vincristine (VC) and vinorelbine (VR) U2OS wild-type cells were treated with a custom made anti-cancer library previously described Bezu et al, 2018() at 3 μM, supplemented with 500 μM oxaliplatin (OXA), 150 μM cisplatin, 50 μM resveratrol and 50 μM spermidine. For assessing transcription, cells were pre-treated for 1.5 h with the library followed by 1 h with the same drugs in which EU was added. The correlations between transcription inhibition and HMBG1 exodus Known immunogenic drugs are indicated with colors: dactinomycin (DACT), mitoxantrone (MTX), doxorubicin (DOXO), daunorubicin (DAUN), OXA, docetaxel (DOC), paclitaxel (PACL), vinblastine (VB), vincristine (VC) and vinorelbine (VR) U2OS wild-type cells were treated with a custom made anti-cancer library previously described Bezu et al, 2018() at 3 μM, supplemented with 500 μM oxaliplatin (OXA), 150 μM cisplatin, 50 μM resveratrol and 50 μM spermidine. For assessing transcription, cells were pre-treated for 1.5 h with the library followed by 1 h with the same drugs in which EU was added. The correlations between transcription inhibition and biological ICD score (F) previously measured and expressed as z-scores (except for ICD prediction score)  Known immunogenic drugs are indicated with colors: dactinomycin (DACT), mitoxantrone (MTX), doxorubicin (DOXO), daunorubicin (DAUN), OXA, docetaxel (DOC), paclitaxel (PACL), vinblastine (VB), vincristine (VC) and vinorelbine (VR) U2OS wild-type cells were treated with a custom made anti-cancer library previously described Bezu et al, 2018() at 3 μM, supplemented with 500 μM oxaliplatin (OXA), 150 μM cisplatin, 50 μM resveratrol and 50 μM spermidine. For assessing transcription, cells were pre-treated for 1.5 h with the library followed by 1 h with the same drugs in which EU was added. For assessing translation, cells were pre-treated with the library for 12 h followed by 30 min in methionine free-medium, before addition of azidohomoalanine (AHA). Percentage of inhibition was calculated and transformed as z-scores. The correlations between transcription and translation inhibitions Known immunogenic drugs are indicated with colors: dactinomycin (DACT), mitoxantrone (MTX), doxorubicin (DOXO), daunorubicin (DAUN), OXA, docetaxel (DOC), paclitaxel (PACL), vinblastine (VB), vincristine (VC) and vinorelbine (VR) The inhibition of transcription was assessed for the negative and positive ICD hits identified with the predictive algorithm (Figure 1). U2OS cells were treated with the agents at concentrations corresponding to their IC60: 1 μM dactinomycin (DACT), 50 μM topotecan, 1 μM becatecarin, 0.5 μM trabectedin, 5 μM UCN-01, 30 μM mycophenolate mofetil, 30 μM nonoxynol-9, 25 μM dactolisib, 2.5 μM β-lapachone, 5 μM 5-fluorodeoxycytidine and 2 μM RH-1 for 1.5 h followed by 1 h with EU. The percentage of transcription inhibition was calculated and the coefficient of correlation (R) and associated p-value (p) between the percentage of inhibition and the theoretical ICD score was calculated using the Pearson method. The 50,000 compounds of the NCI-60 library were annotated for different parameters including transcription and translation inhibition. The predicted ICD score was calculated with a previously described model built on artificial intelligence Bezu et al, 2018(). Empirical cumulative distribution is plotted in black for all compounds and in red for the compounds falling into the categories of interest which are transcription inhibitors (n=31) The 50,000 compounds of the NCI-60 library were annotated for different parameters including transcription and translation inhibition. The predicted ICD score was calculated with a previously described model built on artificial intelligence Bezu et al, 2018(). Empirical cumulative distribution is plotted in black for all compounds and in red for the compounds falling into the categories of interest which are translation inhibitors (n=25) (J), as well as two other random categories used as controls, PARP inhibitors (n=4) and antimetabolites (n=49) (K, L). The p-values calculated with a Kolmogorov-Smirnov test are indicated on each graph.