Intratumoral cDC1 signatures and disease outcomes in human cancer patients
| Cancer type | Correlation observed between the presence of cDC1 signature in TME and favorable outcome | Dataset(s) utilized | Reference(s) |
|---|---|---|---|
| Liver hepatocellular carcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) TCGA (Gu et al., 2020), own cohort (Magen et al., 2023) | Régnier et al. (2023), Gu et al. (2020), and Magen et al. (2023) |
| Bladder cancer | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Prostate adenocarcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Adrenocortical carcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Lung squamous cell carcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Lung adenocarcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023), TCGA (López et al., 2024; Böttcher et al., 2018), TCGA (Broz et al., 2014; Gu et al., 2020) | Régnier et al. (2023), López et al. (2024), Böttcher et al. (2018) and Gu et al. (2020), Broz et al. (2014) |
| Non–small-cell lung cancer | Positive correlation | Own cohort (Wang et al., 2024b) | Wang et al. (2024b) |
| Mesothelioma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Malignant pleural mesothelioma | Positive correlation | Own cohort (Espinosa-Carrasco et al., 2024) | Espinosa-Carrasco et al. (2024) |
| Sarcoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Skin cutaneous melanoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023), TCGA (Spranger et al., 2017; Barry et al., 2018; Böttcher et al., 2018; Lei et al., 2023; Ghislat et al., 2021; Cueto et al., 2021; Gu et al., 2020; Heras-Murillo et al., 2025; De León-Rodríguez et al., 2024), own cohort (Gobbini et al., 2025; Yang et al., 2025) | Régnier et al. (2023), Spranger et al. (2017), Barry et al. (2018), Böttcher et al. (2018), Lei et al. (2023), Sosa Cuevas et al. (2020), Ghislat et al. (2021), Cueto et al. (2021), Gu et al. (2020), Heras-Murillo et al. (2025), Gobbini et al. (2025), and Yang et al. (2025) |
| Uterine corpus endometrial carcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Cervical | Positive correlation | TCGA (Rotman et al., 2020; Cueto et al., 2021) | Rotman et al. (2020) and Cueto et al. (2021) |
| Ovarian | Positive correlation | TCGA (Mastelic-Gavillet et al., 2020) | Mastelic-Gavillet et al. (2020) |
| Head and neck squamous cell carcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023), TCGA (Böttcher et al., 2018; Broz et al., 2014; Gu et al., 2020) | Régnier et al. (2023), Böttcher et al. (2018), Broz et al. (2014), and Gu et al. (2020) |
| Kidney renal clear cell carcinoma | Positive correlation | TCGA and TARGET (Régnier et al., 2023), TCGA (Gu et al., 2020) | Régnier et al. (2023) and Gu et al. (2020) |
| Kidney renal papillary cell carcinoma | Positive correlation | TCGA (Gu et al., 2020) | Gu et al. (2020) |
| Wilms tumor | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Breast cancer | Positive correlation + negative correlation | Positive correlation TCGA and TARGET (Régnier et al., 2023), TCGA (Böttcher et al., 2018; Mattiuz et al., 2021; Broz et al., 2014; Wang et al., 2024c; Iwanowycz et al., 2021; Cueto et al., 2021; Heras-Murillo et al., 2025), TCGA (Hubert et al., 2020), the Molecular Taxonomy of Breast cancer International Consortium (Michea et al., 2018) Negative correlation TCGA (Iwanowycz et al., 2021) | Régnier et al. (2023), Böttcher et al. (2018) and Mattiuz et al. (2021), Michea et al. (2018), Broz et al. (2014), Wang et al. (2024c), Iwanowycz et al. (2021), Cueto et al. (2021), and Heras-Murillo et al. (2025) |
| Pancreatic ductal adenocarcinoma | Positive correlation | TCGA (Mahadevan et al., 2024), own cohort (Plesca et al., 2022) | Mahadevan et al. (2024), Plesca et al. (2022) |
| Neuroblastoma | Positive correlation | Own cohort (Melaiu et al., 2020) | Melaiu et al. (2020) |
| Pheochromocytoma and paraganglioma | Positive correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| HPV+ tonsillar cancer | Positive correlation | Own cohort (Jimenez et al., 2023) | Jimenez et al. (2023) |
| Uveal melanoma | Negative correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Cholangiocarcinoma | Negative correlation | TCGA and TARGET (Régnier et al., 2023) | Régnier et al. (2023) |
| Stomach adenocarcinoma | Negative correlation + positive correlation | Negative correlation TCGA (Han and Ju, 2024), TCGA and TARGET (Régnier et al., 2023) Positive correlation (Han and Ju, 2024) Tumor Immune Dysfunction and Exclusion (TIDE) database and GEO | Régnier et al. (2023), Han and Ju (2024) |
| Cancer type | Correlation observed between the presence of cDC1 signature in TME and favorable outcome | Dataset(s) utilized | Reference(s) |
|---|---|---|---|
| Liver hepatocellular carcinoma | Positive correlation | TCGA and TARGET ( | |
| Bladder cancer | Positive correlation | TCGA and TARGET ( | |
| Prostate adenocarcinoma | Positive correlation | TCGA and TARGET ( | |
| Adrenocortical carcinoma | Positive correlation | TCGA and TARGET ( | |
| Lung squamous cell carcinoma | Positive correlation | TCGA and TARGET ( | |
| Lung adenocarcinoma | Positive correlation | TCGA and TARGET ( | |
| Non–small-cell lung cancer | Positive correlation | Own cohort ( | |
| Mesothelioma | Positive correlation | TCGA and TARGET ( | |
| Malignant pleural mesothelioma | Positive correlation | Own cohort ( | |
| Sarcoma | Positive correlation | TCGA and TARGET ( | |
| Skin cutaneous melanoma | Positive correlation | TCGA and TARGET ( | |
| Uterine corpus endometrial carcinoma | Positive correlation | TCGA and TARGET ( | |
| Cervical | Positive correlation | TCGA ( | |
| Ovarian | Positive correlation | TCGA ( | |
| Head and neck squamous cell carcinoma | Positive correlation | TCGA and TARGET ( | |
| Kidney renal clear cell carcinoma | Positive correlation | TCGA and TARGET ( | |
| Kidney renal papillary cell carcinoma | Positive correlation | TCGA ( | |
| Wilms tumor | Positive correlation | TCGA and TARGET ( | |
| Breast cancer | Positive correlation + negative correlation | ||
| Pancreatic ductal adenocarcinoma | Positive correlation | TCGA ( | |
| Neuroblastoma | Positive correlation | Own cohort ( | |
| Pheochromocytoma and paraganglioma | Positive correlation | TCGA and TARGET ( | |
| HPV+ tonsillar cancer | Positive correlation | Own cohort ( | |
| Uveal melanoma | Negative correlation | TCGA and TARGET ( | |
| Cholangiocarcinoma | Negative correlation | TCGA and TARGET ( | |
| Stomach adenocarcinoma | Negative correlation + positive correlation |
The following signatures and methodologies were used: Barry et al. (2018) utilized a stimulatory DC (CD103+ BDCA-3+) signature: KIT, CCR7, BATF3, FLT3, ZBTB46, IRF8, BTLA, MYCL1.
Böttcher et al. (2018) utilized a cDC1 signature: CLEC9A, XCR1, CLNK, BATF3.
Broz et al. (2014) utilized a signature based on CD103+/CD103− gene ratio signature.
Cueto et al. (2021) utilized a CCL5/CCR5 and FLT3L signature.
De León-Rodríguez et al. (2024) utilized a cDC1 signature: CD11c, HLADR, BDCA3.
Espinosa-Carrasco et al. (2024) utilized CD4+ and CD8+ T cell and CD11c+ APC triads.
Ghislat et al. (2021) demonstrated prognostic implications of NF-κB/IRF1 activation of cDC1: BATF3, CLNK, CLEC9A, XCR1, IRF1, NFKB1, IKBKB.
Gobbini et al. (2025) demonstrated colocalization of XCR1+ cDC1 and CD8+ T cells.
Gu et al. (2020) utilized a cDC1 signature: THBD, CLEC9A.
Han and Ju (2024) utilized a cDC1 signature: THBD, XCR1, CLEC9A, CADM1, BTLA, and a higher cDC1 signature associated with favorable outcome in patients with advanced disease treated with chemotherapy/ICB.
Heras-Murillo et al. (2025) utilized a cDC1 signature: CLNK, BATF3, XCR1, and CLEC9A.
Hubert et al. (2020) utilized a cDC1 signature: CLEC9A, XCR1.
Iwanowycz et al. (2021) utilized a cDC1 signature: XCR1, CLEC9A, BATF3, and reported dependence on immune contexture for cDC1 prognostic value. In lymphocyte-depleted BRCA tumors, a negative correlation for cDC1 signature levels was observed. In IFNγ dominant tumors, a positive correlation was observed.
Jimenez et al. (2023) utilized a cDC1 signature: CLEC9A, CLNK, XCR1.
Wang et al. (2024b) utilized a STING-activated cDC1 signature (XCR1+ STING+ CXCL9+) in neoadjuvant-treated chemotherapy and anti-PD1–treated patients.
Lei et al. (2023) utilized the presence of cDC1 helped signature: ACHE, ACTB, ACTG1, ADAM19, AL357060.1, ANKLE2, ANTXR2, ANXA6, APOBEC3G, APOL1, APOL2, APOL3, ARAP2, ARHGAP22, ARID5A, ARL8B, ARNTL2, ARRB2, ATF5, ATG3, B2M, BASP1, BAZ1A, BCL2A1, BCL2L14, BIRC3, BLVRA, BST2, BZW1, C3orf14, CALHM6, CCL19, CCL5, CCR7, CD200, CD274, CD40, CD83, CD86, CDKN1A, CELF2, CEP135, CFLAR, CLIC2, CLPTM1, CNTLN, COA1, CREG1, CTSS, CUL1, CXCL10, CXCL11, CXCL9, CYB5A, DAPP1, DEPP1, DHX58, DNAJA1, DNAJB6, DNAJC15, DST, DTX3L, DUSP1, DUSP22, DUSP4, DYNLT1, EBI3, EEF1A1, EHD1, EIF1, ENTHD1, EPSTI1, ERGIC1, ERICH1, ETV7, FAM129A, FAM177A1, FAM241A, FAM49A, FAS, FBXO6, FGD2, FLT3, FNBP1, FSCN1, G3BP2, GADD45B, GBP1, GBP2, GBP4, GBP5, GCSAM, GPR132, GRSF1, HAPLN3, HES4, HLA-A, HLA-B, HLA-C, HLA-DOB, HLA-E, HLA-F, HMSD, ICAM1, ID2, IDO1, IER3, IFI35, IFIH1, IFNGR2, IL15, IL15RA, IL18BP, IL2RA, IL32, IL4I1, IL6R, IRF1, IRF2, IRF7, IRF8, ISG20, JUNB, KDM2B, KIF2A, LACTB, LAD1, LAMP3, LAP3, LGMN, LITAF, LMNB1, LSP1, LY75, MAFF, MALAT1, MAP3K13, MARCKS, MARCKSL1, MCL1, MGLL, MIR155HG, MSRB1, MT2A, MVP, MYL6, MYO1G, N4BP2L1, NAA25, NCCRP1, NCOA7, NDE1, NECAP2, NECTIN2, NFKB1, NFKBIA, NMI, NUB1, ODF3B, OPTN, OSBPL9, PARP12, PARP14, PARP9, PCGF5, PFN1, PIAS1, PML, PNRC1, POGLUT1, POMP, PPA1, PPP1R18, PRRG4, PSD3, PSMA2, PSMB10, PSMB8, PSMB9, PSME1, PSME2, PTK2B, PTPN1, RAB10, RAB29, RAB8B, RAB9A, RALB, RARRES3, RASSF4, RCN1, RDX, RELB, RFTN1, RGS1, RHOF, RIPK2, RNF115, RNF213, RRAGC, RSU1, SAMD9L, SAMSN1, SAT1, SECTM1, SERPINB1, SERPINB6, SERPINB9, SINHCAF, SLAMF7, SLC31A2, SLCO5A1, SMCO4, SMS, SNN, SNX11, SOCS1, SOCS3, SOD2, SPPL2A, SRGN, SRI, ST3GAL5, STAT1, STAT3, STOM, SUB1, SYNGR2, SYNPO2, TAGLN2, TAP1, TAP2, TAPBP, TBC1D4, TBCB, THEMIS2, TMSB10, TNFAIP2, TNFAIP3, TNIP1, TNIP2, TRADD, TRAF1, TRAFD1, TRIP10, TSPAN13, TSPAN15, TSPAN33, TUBA1C, TUBB, TUBB2A, TUBB4B, TVP23A, TXN, TYMP, U62317.2, UBB, UBD, UBE2E2, UBE2F, UBE2L6, VAC14, VAMP5, VOPP1, WARS, YBX3, ZFAS1, ZFP36L1, ZNFX1.
López et al. (2024) utilized a cDC1 signature: BATF3, IRF8, THBD, CLEC9A, XCR1.
Magen et al. (2023) utilized PD-1+ CD8+ T cells, CXCL13+ Th cells, and mregDC (DC-LAMP+) triads.
Mahadevan et al. (2024) utilized BATF3, XCR1, CLEC9A, CADM1.
Mastelic-Gavillet et al. (2020) utilized a CLEC9A signature.
Mattiuz et al. (2021) used a cDC1 signature: CLEC9A, CLNK, XCR1.
Melaiu et al. (2020) utilized a THBD signature.
Michea et al. (2018) utilized a cDC1-enriched signature.
Plesca et al. (2022) utilized CLEC9A staining and IHC techniques.
Régnier et al. (2023) utilized a cDC1 signature: CD38, ST7, RUFY3, PARP3, LIMA1, ASNS, AP3M2, PAFAH1B3, CPNE3, TMEM14A, LGMN, CCNB1IP1, CST3, NME4, NCALD, CPVL, IFT20, CCND1, CCDC86, HPS5, PPM1H, SNX3, EEF1B2, CD207, OSBPL9, HSDL2, ECHDC2, PDCD2L, APOL3, CYP2E1, IDO1, PPT1, PTPRE, TCEAL4, GYPC, TPMT, RAB30, NAAA, SLC46A3, OCIAD2, PPM1J, KIT, TSPAN33, CSRP1, ACP6, AIM2, DNASE1L3, TLR3, VCP, GPT2, SPINT2, SERPINF2, TAP1, PTK2, XCR1, NET1, TLR10, UCP2, BASP1, ZNF366, THBD, DCTPP1, SLC9A9, CADM1, TACSTD2, BTLA, KATNA1, PLCD1, FNBP1, IDO2, ENPP1, DPP4, CLEC9A, UVRAG, TOX, TAP2, HMGN1, GOLGA8B, NME1, HLA-DOB.
Rotman et al. (2020) utilized cDC1 score: BATF3, XCR1, CLEC9A, CLNK.
Sosa Cuevas et al. (2020) utilized a cDC1 signature in peripheral circulation for Lin− HLADR+ CD11c+ BDCA1+ assessed via flow cytometry.
Spranger et al. (2017) utilized BATF3, IRF8, THBD, CLEC9A, and XCR1.
Wang et al. (2024c) utilized a high MHC signature (HLA-A, HLA-B, HLA-C, HLA-DMA, HLA-DPA1, HLA-DPB1, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB1, and HLA-E) coupled to XCR1.
Yang et al. (2025) utilized a mregDC signature in metastatic melanoma patients treated with ICB.
TCGA, The Cancer Genome Atlas; TARGET, Therapeutically Applicable Research to Generate Effective Treatments.
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