Published online Jun 15, 2026. doi: 10.4251/wjgo.v18.i6.117434
Revised: February 12, 2026
Accepted: April 1, 2026
Published online: June 15, 2026
Processing time: 184 Days and 18.7 Hours
Recent longitudinal studies have demonstrated progressive upregulation of cluster of differentiation 24 (CD24) during hepatocarcinogenesis, correlating with programmed death-ligand 1 (PD-L1) expression and enhancing detection of alpha-fetoprotein-negative hepatocellular carcinoma by approximately 20%. Circulating CD24+ T cells show expansion patterns that could track minimal residual disease. Yet this evidence is largely observational, with gaps in functional validation, subset-specific analysis, and mechanistic links to PD-L1 transcription. Spatial mapping, survival data, and isoform distinctions remain unexplored. To establish CD24 as a bona fide therapeutic target rather than merely a correlative marker, future investigations must employ clustered regularly interspaced short palindromic repeats-based functional genomics, single-cell multi-omics inte
Core Tip: While cluster of differentiation 24 (CD24) is dynamically upregulated during hepatocarcinogenesis and improves the detection of alpha-fetoprotein-negative hepatocellular carcinoma, it currently lacks functional validation, resolution of specific subsets, and a clear mechanistic linkage to programmed death-ligand 1. Functional genetics, single-cell, multi-omics, and spatial analyses are needed to confirm CD24’s causality and therapeutic potential.
- Citation: Ren LN, Liu C, Jin CQ, Zhang XH. From association to intervention: Rethinking CD24’s causal role in hepatocellular carcinogenesis. World J Gastrointest Oncol 2026; 18(6): 117434
- URL: https://www.wjgnet.com/1948-5204/full/v18/i6/117434.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v18.i6.117434
Cai et al[1] provide the first longitudinal evidence that cluster of differentiation 24 (CD24) is not merely a cross-sectional marker of hepatocellular carcinoma (HCC) but is dynamically upregulated at both the mRNA and protein levels during step-wise hepatocarcinogenesis. The integration of a rat 2-FAA model with a well-characterized human hepatitis B virus-infected cohort allows the authors to link stem cell-associated CD24 signaling to immune evasion via programmed death-ligand 1 (PD-L1), thereby extending the traditional alpha-fetoprotein (AFP)-based paradigm[2,3]. The finding that serum CD24 adds 20% diagnostic sensitivity to AFP-negative HCC is of clinical significance, and the demonstration that circulating CD24+ T cells are expanded in patients with HCC offers a new immune-phenotypic window for monitoring minimal residual disease[4,5].
Recent advances have positioned CD24 as a critical node integrating innate and adaptive immune evasion mechanisms in HCC (Figure 1)[6-8]. Beyond its established role as a “don’t eat me” signal mediated through sialic acid-binding Ig-like lectin 10 (Siglec-10) on tumor-associated macrophages[9,10], emerging evidence suggests CD24 operates as a multifunctional checkpoint coordinating both macrophage phagocytosis inhibition and T-cell exhaustion. The landmark study by Barkal et al[9] demonstrated that CD24-Siglec-10 signaling recruits Src homology domain 2-containing protein tyrosine phosphatase/Src homology domain 2-containing protein tyrosine phosphatase phosphatases, suppressing cytoskeletal rearrangement required for phagosome formation. Importantly, CD24 exhibits significantly lower basal expression in normal human tissues compared to CD47, presenting a favorable therapeutic index for targeted intervention[11,12].
Controversies persist regarding the relative contribution of CD24 vs other innate immune checkpoints in HCC immune evasion. While CD47 blockade has demonstrated preclinical efficacy, its ubiquitous expression on erythrocytes limits dosing flexibility and poses on-target toxicity risks[13,14]. By contrast, CD24 expression is restricted to hepatocytes, activated immune cells, and cancer stem cells, potentially offering a wider therapeutic window[15,16]. However, recent single-cell transcriptomic analyses reveal substantial heterogeneity in CD24 expression across HCC subpopulations, with distinct cancer stem cell subsets exhibiting variable CD24 levels that correlate with differential sensitivity to anti-CD24 monotherapy[17-19].
The mechanistic linkage between CD24 upregulation and PD-L1 expression represents a central unresolved question. While Cai et al[1] demonstrated longitudinal correlation, the directional causality remains ambiguous. Hypoxia-inducible factor 1 alpha (HIF-1α) emerges as a plausible integrator, simultaneously transactivating both CD24 and CD274 (PD-L1) promoters in hypoxic tumor niches[20,21]. Chromatin immunoprecipitation sequencing analyses in HCC cell lines reveal HIF-1a-binding motifs within the CD24 promoter region, suggesting convergent evolutionary pressure driving dual checkpoint expression under metabolic stress[22,23].
Alternative hypotheses propose CD24-mediated nuclear factor kappa B (NF-κB) activation as the primary driver of PD-L1 induction. In breast cancer models, CD24 ligation activates NF-κB and signal transducers and activators of transcription 3 signaling, both capable of binding the CD274 promoter[24,25]. However, HCC-specific validation remains lacking. The absence of genetic epistasis experiments - specifically whether CD24 knockout abrogates PD-L1 induction under inflammatory stimuli - represents a critical experimental gap.
The tumor microenvironment in HCC exhibits profound spatial heterogeneity that bulk transcriptomic analyses fail to capture (Figure 2)[26-28]. Recent integration of single-cell RNA sequencing with spatial transcriptomics (ST) reveals zonal segregation of CD24-expressing malignant hepatocytes adjacent to M2-polarized tumor-associated macrophages and exhausted CD8+ T cells[29,30]. Notably, CD24-high tumor regions demonstrate reduced cytotoxic T lymphocyte infiltration and enhanced collagen deposition, suggesting mechanosensitive regulation of CD24 expression via integrin-mediated signaling[31,32].
Imaging mass cytometry studies demonstrate that CD24 expression correlates with distinct immune ecosystem architectures[33,34]. CD24/Siglec-10 blocking peptide which blocked programmed death 1 (PD-1)/PD-L1 interaction as well, functioned by enhancing the phagocytosis of tumor cells by macrophages and monocytic myeloid-derived suppressor cells, and elevating the activity of CD8+ T cells for cancer immunotherapy[35,36]. These findings challenge the conventional view of CD24 as a uniform tumor marker and support a dynamic, context-dependent model where spatial distribution determines functional impact.
We posit that CD24-targeted monotherapy will prove insufficient for HCC treatment given the compensatory upregulation of alternative immune checkpoints[37,38]. Preclinical evidence supports dual blockade strategies: Simultaneous targeting of CD24 and CD47 using bispecific antibody fusion proteins (e.g., PPAB001) demonstrates synergistic enhancement of macrophage phagocytosis in human epidermal growth factor receptor 2 (HER2)-positive cancer models[39,40]. The mechanistic basis involves convergent signaling through distinct inhibitory receptors - Siglec-10 for CD24 and signal regulatory protein alpha (SIRPα) for CD47 - creating redundant “don’t eat me” barriers that require simultaneous disruption.
Moreover, the integration of CD24 blockade with adaptive immune checkpoint inhibitors presents compelling theoretical advantages. CD24-Siglec-10 inhibition enhances macrophage-mediated antigen presentation, potentially priming CD8+ T-cell responses that are subsequently sustained by PD-1/PD-L1 blockade[41,42]. A novel dual-targeting D-peptide capable of blocking both CD24/Siglec-10 and PD-1/PD-L1 interactions has demonstrated superior anti-tumor efficacy compared to single-agent therapy in syngeneic models[43,44].
The clinical translation of serum CD24 measurements requires rigorous attention to isoform specificity (Table 1)[45,46]. CD24 exists as both glycosylphosphatidylinositol-anchored membrane protein and soluble form generated by A disintegrin and metalloproteinase 10/A disintegrin and metalloproteinase 17-mediated shedding[47,48]. Soluble CD24 retains Siglec-10 binding capacity and may function as a decoy molecule, competitively inhibiting therapeutic antibody efficacy while maintaining immune suppressive activity[49,50]. We advocate for the development of isoform-specific enzyme-linked immunosorbent assays capable of distinguishing membrane-bound vs shed CD24, analogous to established methodologies for soluble PD-L1 quantification.
| Experimental strategy | Technical platform | Expected outcome | Clinical translation |
| Genetic knockout | CRISPR-Cas9 hydrodynamic transfection (Fah-/- mice) | Reduced tumor incidence, restored anti-PD-1 sensitivity | Patient selection for combination therapy |
| Single-cell profiling | scRNA-seq + CITE-seq + scATAC-seq | CD24+ subset resolution, regulatory network mapping | Biomarker discovery for liquid biopsy |
| Spatial mapping | 10 × Visium + IMC (43-marker panel) | Zonal CD24 distribution, immune ecosystem architecture | Image-guided therapeutic targeting |
| Functional validation | In vivo CRISPR screening (AAV-sgRNA library) | Genetic interaction map, synthetic lethal targets | Rational combination design |
| Isoform quantification | Isoform-specific ELISA, mass spectrometry | sCD24 vs mCD24 dynamics, ADAM10/17 activity | Monitoring therapeutic response |
Circulating tumor cells (CTCs) expressing CD24 represent an underexplored liquid biopsy dimension. Single-cell transcriptomic profiling of HCC CTCs reveals enrichment of stemness-associated gene signatures including CD24, insulin-like growth factor 2, and AFP[51,52]. The integration of CD24+ CTC enumeration with cell-free DNA methylation markers (e.g., septin 9, homeobox A1) may enhance early HCC detection sensitivity beyond current AFP-based surveillance protocols[53,54].
The transition from association to causation necessitates systematic genetic perturbation studies (Table 1). Hydrodynamic transfection of clustered regularly interspaced short palindromic repeats (CRISPR)-associated protein 9 single-guide RNA libraries targeting Cd24a in Fah-/- mice enables autochthonous hepatocarcinogenesis with concurrent gene knockout[55-58]. Pooled mutagenesis screens comparing tumor incidence, progression kinetics, and immune infiltration patterns between Cd24a-wildtype and knockout backgrounds will definitively establish CD24’s role in malignant conversion.
In vivo CRISPR screening platforms have identified novel immunotherapy resistance mechanisms in liver cancer models. Wang et al[55] demonstrated that knockout of chromatin remodeling genes (AT-rich interaction domain 1A, lysine-specific methyltransferase 2D) sensitizes tumors to anti-PD-1 therapy, whereas loss of antigen presentation machinery (B2m) confers resistance[59,60]. Extending these approaches to evaluate CD24 genetic interaction with established immune evasion pathways will prioritize combinatorial therapeutic targets.
We advocate for comprehensive single-cell multi-omic profiling of HCC specimens, integrating transcriptomics, chromatin accessibility (single-cell assay for transposase-accessible chromatin using sequencing), and surface proteomics (cellular indexing of transcriptomes and epitopes by sequencing) to resolve CD24 regulatory networks[61,62]. Particular attention should focus on CD24+ T-cell subsets, which may represent distinct activation states rather than uniform tumor-permissive populations. Multi-color flow cytometry panels discriminating CD24 expression across CD4+ helper, CD8+ cytotoxic, regulatory T, and exhausted T-cell subpopulations will clarify whether CD24 marks functional anergy or antigen-experienced activation[63,64].
ST platforms (10 × Visium, Xenium) enable mapping of CD24 expression within architectural tissue contexts. Correlation with multiplex immunofluorescence (CD24, PD-L1, CD68, CD8, alpha-smooth muscle actin) will reveal whether CD24-high regions correspond to fibrotic barriers, hypoxic zones, or invasive fronts - each implying distinct therapeutic vulnerabilities[65,66].
Chimeric antigen receptor (CAR) T-cell therapy targeting CD24 represents an innovative approach for HCC treatment (Table 2)[67,68]. Preclinical studies in triple-negative breast cancer demonstrate that CD24-specific CAR-T cells (24BBz) exhibit antigen-specific cytotoxicity and tumor regression in xenograft models[69,70]. However, T-cell exhaustion limits sustained efficacy, suggesting that armored CAR constructs secreting PD-1 antibodies or CRISPR-mediated PD-1 knockout may enhance durability[71,72].
| Checkpoint | Ligand/receptor | Expression pattern | Clinical development | Advantages | Limitations |
| CD24 | Siglec-10 | CSCs, activated immune cells, hepatocytes | Preclinical (SWA11 mAb, CAR-T) | Low normal tissue expression, dual innate/adaptive function | Heterogeneous expression, shedding-mediated decoy effects |
| CD47 | SIRPα | Ubiquitous (high on RBCs) | Phase I/II (Hu5F9-G4, magrolimab) | Well-established biology, broad tumor coverage | On-target anemia, dosing limitations |
| PD-L1 | PD-1 | Inducible on tumor and immune cells | Approved (atezolizumab, durvalumab) | Proven efficacy, established biomarkers | Primary resistance, immune-related adverse events |
| MHC-I | LILRB1/2 | Variable across HCC subtypes | Early preclinical | Alternative escape mechanism | Complex regulation, technical challenges |
Antibody-drug conjugates combining anti-CD24 specificity with cytotoxic payloads offer another therapeutic avenue. The recent development of glypican-3-CD24 dual-targeting antibody-drug conjugates demonstrates anti-cancer activity through antibody-dependent cellular cytotoxicity mechanisms[73], supporting expanded evaluation in HCC models.
The study infers that CD24 “promotes” progression solely from correlation and expression kinetics[1]. No genetic or pharmacologic manipulation (e.g., clustered regularly interspaced short palindromic repeats deletion of Cd24a in 2-FAA rats or therapeutic CD24 blockade) is performed. Consequently, the directional causality between CD24 upregulation and malignant conversion remains unproven and requires further investigation. Future work should employ hydrodynamic transfection of Cd24a-single-guide RNA plasmids in Fah-/- rats or inject anti-CD24 monoclonal antibody (clone SWA11) to determine whether loss or inhibition of CD24 reduces tumor incidence or restores PD-L1 inhibitor responsiveness[9,39].
The authors equate the abundance of CD24+ lymphocytes with a tumor-permissive state without discriminating between CD24-high B cells, exhausted CD8+ T cells, or regulatory T-cell subsets[17,63]. CD24 is a well-established co-stimulatory molecule on B cells, and its presence on T cells may simply reflect activation rather than a tumor-driving stemness program. Multi-color flow panels (CD3, CD19, CD4, CD8, PD-L1, T-cell immunoglobulin and mucin-domain containing protein 3) and single-cell RNA sequencing are required to clarify which compartment contributes to the observed CD24 signal and whether these cells are functionally anergic or cytotoxic[64].
Although PD-L1 expression parallels CD24, no data demonstrate that CD24 directly transactivates PD-L1 transcription[1,24]. Previous work in breast cancer has shown that CD24 ligation activates NF-κB and signal transducers and activators of transcription 3, both of which can bind the CD274 promoter[25]. Chromatin immunoprecipitation (NF-κB p65, signal transducers and activators of transcription 3) and luciferase reporter assays using the 1.2-kb CD274 promoter region should be applied to HCC cell lines (Huh7-CD24-high vs clustered regularly interspaced short palindromic repeats-CD24-knockout) to explore and establish this regulatory axis[20,22].
Serum and whole-liver homogenate measurements obscure the zonal distribution of CD24[26,28]. ST (10 × Visium) or multiplex immunofluorescence (CD24, PD-L1, AFP, CD8) could reveal whether CD24 is enriched in peritumoral hypoxic niches where PD-L1 is concurrently upregulated, as recently shown in colorectal liver metastases[30].
The multivariate Cox model contains nine variables for 129 patients with HCC, approximating 14 events per variable - below the recommended 20:1 ratio[46]. Bootstrap validation (≥ 1000 iterations) or least absolute shrinkage and selection operator penalized regression should be used to verify that CD24 remains a reliable independent predictor[45].
CD24 exists in both glycosyl-phosphatidylinositol-anchored and soluble forms generated by A disintegrin and metalloproteinase/17 shedding[47,48]. Soluble CD24 can directly engage Siglec-10 on tumor-associated macrophages, thereby suppressing anti-tumor immunity[49]. Western blots under non-reducing conditions or enzyme-linked immunosorbent assay with isoform-specific capture antibodies would clarify which molecular species accumulates in sera and whether A disintegrin and metalloproteinase inhibition (GI254023X) attenuates the immune-suppressive effect[50].
Cai et al[1] provide valuable longitudinal data on CD24 upregulation during cancer progression; however, showing that CD24 increases over time does not prove it drives the disease. We emphasize that functional genetic validation through CRISPR-mediated perturbation, single-cell multi-omic deconvolution, and promoter-level mechanistic studies are indispensable for elevating CD24 from a passive correlate to an active driver of HCC progression.
Combining ST with imaging mass cytometry could reveal how CD24 distribution varies across tumor regions underlying CD24-mediated immune evasion, particularly regarding its zonal distribution within hypoxic peritumoral niches. CD24 blockade alone will likely fail because tumors can compensate by upregulating other checkpoint pathways. We advocate for rational combination strategies integrating CD24 blockade with adaptive immune checkpoint inhibitors or dual innate checkpoint blockade using bispecific antibodies. Furthermore, the development of CD24-directed CAR-T cells and antibody-drug conjugates warrants expedited preclinical evaluation in autochthonous HCC models.
Ultimately, successful clinical translation necessitates prospective validation of CD24 as a liquid biopsy biomarker for minimal residual disease monitoring and therapeutic response assessment. Multi-center consortium efforts employing standardized isoform-specific assays will be critical to harmonize biomarker thresholds and guide patient stratification for CD24-targeted interventions, bringing us closer to truly personalized treatment for liver cancer.
| 1. | Cai Y, Liu LY, Xia XX, Tang H, Xu M, Sai WL, Yao DF, Yao M. Stemness CD24 activation promotes hepatocellular carcinoma progression via an immune escape mechanism. World J Gastroenterol. 2026;32:113187. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in CrossRef: 3] [Cited by in RCA: 3] [Article Influence: 3.0] [Reference Citation Analysis (2)] |
| 2. | El-Serag HB. Epidemiology of viral hepatitis and hepatocellular carcinoma. Gastroenterology. 2012;142:1264-1273.e1. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 2629] [Cited by in RCA: 2554] [Article Influence: 182.4] [Reference Citation Analysis (10)] |
| 3. | Lin A, Wang M, Wang Z, Lin J, Lin Z, Lin S, Lu S, Lin H, Tang H, Huang X. Expression and relationship of PD-L1, CD24, and CD47 in hepatitis B virus associated hepatocellular carcinoma. Sci Rep. 2024;14:31530. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 5] [Reference Citation Analysis (0)] |
| 4. | Llovet JM, Kelley RK, Villanueva A, Singal AG, Pikarsky E, Roayaie S, Lencioni R, Koike K, Zucman-Rossi J, Finn RS. Hepatocellular carcinoma. Nat Rev Dis Primers. 2021;7:6. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1323] [Reference Citation Analysis (0)] |
| 5. | Tsuchiya H, Shiota G. Immune evasion by cancer stem cells. Regen Ther. 2021;17:20-33. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 68] [Cited by in RCA: 108] [Article Influence: 21.6] [Reference Citation Analysis (0)] |
| 6. | Hazra R, Chattopadhyay S, Mallick A, Gayen S, Roy S. Unravelling CD24-Siglec-10 pathway: Cancer immunotherapy from basic science to clinical studies. Immunology. 2024;173:442-469. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1] [Cited by in RCA: 11] [Article Influence: 5.5] [Reference Citation Analysis (0)] |
| 7. | Li X, Tian W, Jiang Z, Song Y, Leng X, Yu J. Targeting CD24/Siglec-10 signal pathway for cancer immunotherapy: recent advances and future directions. Cancer Immunol Immunother. 2024;73:31. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 52] [Reference Citation Analysis (0)] |
| 8. | Weiskopf K. Cancer immunotherapy targeting the CD47/SIRPα axis. Eur J Cancer. 2017;76:100-109. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 204] [Cited by in RCA: 295] [Article Influence: 32.8] [Reference Citation Analysis (0)] |
| 9. | Barkal AA, Brewer RE, Markovic M, Kowarsky M, Barkal SA, Zaro BW, Krishnan V, Hatakeyama J, Dorigo O, Barkal LJ, Weissman IL. CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy. Nature. 2019;572:392-396. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 788] [Cited by in RCA: 1081] [Article Influence: 154.4] [Reference Citation Analysis (0)] |
| 10. | Chen GY, Tang J, Zheng P, Liu Y. CD24 and Siglec-10 selectively repress tissue damage-induced immune responses. Science. 2009;323:1722-1725. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 621] [Cited by in RCA: 656] [Article Influence: 38.6] [Reference Citation Analysis (0)] |
| 11. | Sue M, Tsubaki T, Ishimoto Y, Hayashi S, Ishida S, Otsuka T, Isumi Y, Kawase Y, Yamaguchi J, Nakada T, Ishiguro J, Nakamura K, Kawaida R, Ohtsuka T, Wada T, Agatsuma T, Kawasaki N. Blockade of SIRPα-CD47 axis by anti-SIRPα antibody enhances anti-tumor activity of DXd antibody-drug conjugates. PLoS One. 2024;19:e0304985. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 13] [Reference Citation Analysis (0)] |
| 12. | Logtenberg MEW, Scheeren FA, Schumacher TN. The CD47-SIRPα Immune Checkpoint. Immunity. 2020;52:742-752. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 100] [Cited by in RCA: 548] [Article Influence: 91.3] [Reference Citation Analysis (0)] |
| 13. | Sikic BI, Lakhani N, Patnaik A, Shah SA, Chandana SR, Rasco D, Colevas AD, O'Rourke T, Narayanan S, Papadopoulos K, Fisher GA, Villalobos V, Prohaska SS, Howard M, Beeram M, Chao MP, Agoram B, Chen JY, Huang J, Axt M, Liu J, Volkmer JP, Majeti R, Weissman IL, Takimoto CH, Supan D, Wakelee HA, Aoki R, Pegram MD, Padda SK. First-in-Human, First-in-Class Phase I Trial of the Anti-CD47 Antibody Hu5F9-G4 in Patients With Advanced Cancers. J Clin Oncol. 2019;37:946-953. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 209] [Cited by in RCA: 501] [Article Influence: 71.6] [Reference Citation Analysis (0)] |
| 14. | Advani R, Flinn I, Popplewell L, Forero A, Bartlett NL, Ghosh N, Kline J, Roschewski M, LaCasce A, Collins GP, Tran T, Lynn J, Chen JY, Volkmer JP, Agoram B, Huang J, Majeti R, Weissman IL, Takimoto CH, Chao MP, Smith SM. CD47 Blockade by Hu5F9-G4 and Rituximab in Non-Hodgkin's Lymphoma. N Engl J Med. 2018;379:1711-1721. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 599] [Cited by in RCA: 946] [Article Influence: 118.3] [Reference Citation Analysis (0)] |
| 15. | Lee TK, Castilho A, Cheung VC, Tang KH, Ma S, Ng IO. CD24(+) liver tumor-initiating cells drive self-renewal and tumor initiation through STAT3-mediated NANOG regulation. Cell Stem Cell. 2011;9:50-63. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 509] [Cited by in RCA: 497] [Article Influence: 33.1] [Reference Citation Analysis (3)] |
| 16. | Liu AY, Cai Y, Mao Y, Lin Y, Zheng H, Wu T, Huang Y, Fang X, Lin S, Feng Q, Huang Z, Yang T, Luo Q, Ouyang G. Twist2 promotes self-renewal of liver cancer stem-like cells by regulating CD24. Carcinogenesis. 2014;35:537-545. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 61] [Cited by in RCA: 59] [Article Influence: 4.9] [Reference Citation Analysis (3)] |
| 17. | Zheng C, Zheng L, Yoo JK, Guo H, Zhang Y, Guo X, Kang B, Hu R, Huang JY, Zhang Q, Liu Z, Dong M, Hu X, Ouyang W, Peng J, Zhang Z. Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing. Cell. 2017;169:1342-1356.e16. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1867] [Cited by in RCA: 1620] [Article Influence: 180.0] [Reference Citation Analysis (4)] |
| 18. | Sun Y, Wu L, Zhong Y, Zhou K, Hou Y, Wang Z, Zhang Z, Xie J, Wang C, Chen D, Huang Y, Wei X, Shi Y, Zhao Z, Li Y, Guo Z, Yu Q, Xu L, Volpe G, Qiu S, Zhou J, Ward C, Sun H, Yin Y, Xu X, Wang X, Esteban MA, Yang H, Wang J, Dean M, Zhang Y, Liu S, Yang X, Fan J. Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma. Cell. 2021;184:404-421.e16. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 716] [Cited by in RCA: 633] [Article Influence: 126.6] [Reference Citation Analysis (1)] |
| 19. | Ho DW, Tsui YM, Sze KM, Chan LK, Cheung TT, Lee E, Sham PC, Tsui SK, Lee TK, Ng IO. Single-cell transcriptomics reveals the landscape of intra-tumoral heterogeneity and stemness-related subpopulations in liver cancer. Cancer Lett. 2019;459:176-185. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 139] [Cited by in RCA: 128] [Article Influence: 18.3] [Reference Citation Analysis (0)] |
| 20. | Semenza GL. Hypoxia-inducible factors: mediators of cancer progression and targets for cancer therapy. Trends Pharmacol Sci. 2012;33:207-214. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1013] [Cited by in RCA: 1202] [Article Influence: 85.9] [Reference Citation Analysis (3)] |
| 21. | Wu Q, You L, Nepovimova E, Heger Z, Wu W, Kuca K, Adam V. Hypoxia-inducible factors: master regulators of hypoxic tumor immune escape. J Hematol Oncol. 2022;15:77. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 5] [Cited by in RCA: 345] [Article Influence: 86.3] [Reference Citation Analysis (0)] |
| 22. | Al-Dairy A. Long-term outcomes of surgical repair of isolated coarctation of the aorta in different age groups. BMC Surg. 2023;23:120. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 6] [Reference Citation Analysis (0)] |
| 23. | Yang X, Zhang Q, Li D, Hu L, Wang Y, Yan X, Li Y, Wang Y, Zhang F, Shen J. A Multifunctional Nanodrug Increases the Therapeutic Sensitivity of Lenvatinib to Hepatocellular Carcinoma by Inhibiting the Stemness of Hepatic Cancer Stem Cells. Adv Healthc Mater. 2024;13:e2401398. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 7] [Cited by in RCA: 8] [Article Influence: 4.0] [Reference Citation Analysis (0)] |
| 24. | Schwitalla S, Fingerle AA, Cammareri P, Nebelsiek T, Göktuna SI, Ziegler PK, Canli O, Heijmans J, Huels DJ, Moreaux G, Rupec RA, Gerhard M, Schmid R, Barker N, Clevers H, Lang R, Neumann J, Kirchner T, Taketo MM, van den Brink GR, Sansom OJ, Arkan MC, Greten FR. Intestinal tumorigenesis initiated by dedifferentiation and acquisition of stem-cell-like properties. Cell. 2013;152:25-38. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 949] [Cited by in RCA: 863] [Article Influence: 66.4] [Reference Citation Analysis (3)] |
| 25. | Moncada R, Barkley D, Wagner F, Chiodin M, Devlin JC, Baron M, Hajdu CH, Simeone DM, Yanai I. Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas. Nat Biotechnol. 2020;38:333-342. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 352] [Cited by in RCA: 737] [Article Influence: 122.8] [Reference Citation Analysis (0)] |
| 26. | Andersson A, Larsson L, Stenbeck L, Salmén F, Ehinger A, Wu SZ, Al-Eryani G, Roden D, Swarbrick A, Borg Å, Frisén J, Engblom C, Lundeberg J. Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions. Nat Commun. 2021;12:6012. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 137] [Cited by in RCA: 253] [Article Influence: 50.6] [Reference Citation Analysis (4)] |
| 27. | Wu SZ, Al-Eryani G, Roden DL, Junankar S, Harvey K, Andersson A, Thennavan A, Wang C, Torpy JR, Bartonicek N, Wang T, Larsson L, Kaczorowski D, Weisenfeld NI, Uytingco CR, Chew JG, Bent ZW, Chan CL, Gnanasambandapillai V, Dutertre CA, Gluch L, Hui MN, Beith J, Parker A, Robbins E, Segara D, Cooper C, Mak C, Chan B, Warrier S, Ginhoux F, Millar E, Powell JE, Williams SR, Liu XS, O'Toole S, Lim E, Lundeberg J, Perou CM, Swarbrick A. A single-cell and spatially resolved atlas of human breast cancers. Nat Genet. 2021;53:1334-1347. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1407] [Cited by in RCA: 1176] [Article Influence: 235.2] [Reference Citation Analysis (4)] |
| 28. | Sheng J, Zhang J, Wang L, Tano V, Tang J, Wang X, Wu J, Song J, Zhao Y, Rong J, Cheng F, Wang J, Shen Y, Wen L, He J, Zhang H, Li T, Zhang Q, Bai X, Lu Z, Liang T. Topological analysis of hepatocellular carcinoma tumour microenvironment based on imaging mass cytometry reveals cellular neighbourhood regulated reversely by macrophages with different ontogeny. Gut. 2022;71:1176-1191. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 24] [Cited by in RCA: 76] [Article Influence: 19.0] [Reference Citation Analysis (0)] |
| 29. | Lazarus J, Oneka MD, Barua S, Maj T, Lanfranca MP, Delrosario L, Sun L, Smith JJ, D'Angelica MI, Shia J, Fang JM, Shi J, Di Magliano MP, Zou W, Rao A, Frankel TL. Mathematical Modeling of the Metastatic Colorectal Cancer Microenvironment Defines the Importance of Cytotoxic Lymphocyte Infiltration and Presence of PD-L1 on Antigen Presenting Cells. Ann Surg Oncol. 2019;26:2821-2830. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 22] [Cited by in RCA: 22] [Article Influence: 3.1] [Reference Citation Analysis (0)] |
| 30. | Zhang Q, Tsui YM, Zhang VX, Lu AJ, Lee JM, Lee E, Cheung GC, Li PM, Cheung ET, Chia NH, Lo IL, Chan AC, Cheung TT, Ng IO, Ho DW. Reciprocal interactions between malignant cells and macrophages enhance cancer stemness and M2 polarization in HBV-associated hepatocellular carcinoma. Theranostics. 2024;14:892-910. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 41] [Reference Citation Analysis (0)] |
| 31. | Mouw JK, Ou G, Weaver VM. Extracellular matrix assembly: a multiscale deconstruction. Nat Rev Mol Cell Biol. 2014;15:771-785. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1324] [Cited by in RCA: 1076] [Article Influence: 89.7] [Reference Citation Analysis (0)] |
| 32. | Jackson HW, Fischer JR, Zanotelli VRT, Ali HR, Mechera R, Soysal SD, Moch H, Muenst S, Varga Z, Weber WP, Bodenmiller B. The single-cell pathology landscape of breast cancer. Nature. 2020;578:615-620. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 555] [Cited by in RCA: 640] [Article Influence: 106.7] [Reference Citation Analysis (0)] |
| 33. | Gerdes MJ, Sevinsky CJ, Sood A, Adak S, Bello MO, Bordwell A, Can A, Corwin A, Dinn S, Filkins RJ, Hollman D, Kamath V, Kaanumalle S, Kenny K, Larsen M, Lazare M, Li Q, Lowes C, McCulloch CC, McDonough E, Montalto MC, Pang Z, Rittscher J, Santamaria-Pang A, Sarachan BD, Seel ML, Seppo A, Shaikh K, Sui Y, Zhang J, Ginty F. Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue. Proc Natl Acad Sci U S A. 2013;110:11982-11987. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 715] [Cited by in RCA: 578] [Article Influence: 44.5] [Reference Citation Analysis (0)] |
| 34. | Binnewies M, Roberts EW, Kersten K, Chan V, Fearon DF, Merad M, Coussens LM, Gabrilovich DI, Ostrand-Rosenberg S, Hedrick CC, Vonderheide RH, Pittet MJ, Jain RK, Zou W, Howcroft TK, Woodhouse EC, Weinberg RA, Krummel MF. Understanding the tumor immune microenvironment (TIME) for effective therapy. Nat Med. 2018;24:541-550. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 4987] [Cited by in RCA: 4463] [Article Influence: 557.9] [Reference Citation Analysis (5)] |
| 35. | Shen W, Shi P, Dong Q, Zhou X, Chen C, Sui X, Tian W, Zhu X, Wang X, Jin S, Wu Y, Chen G, Qiu L, Zhai W, Gao Y. Discovery of a novel dual-targeting D-peptide to block CD24/Siglec-10 and PD-1/PD-L1 interaction and synergize with radiotherapy for cancer immunotherapy. J Immunother Cancer. 2023;11:e007068. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 51] [Reference Citation Analysis (0)] |
| 36. | Zhang W, Zeng Y, Xiao Q, Wu Y, Liu J, Wang H, Luo Y, Zhan J, Liao N, Cai Y. An in-situ peptide-antibody self-assembly to block CD47 and CD24 signaling enhances macrophage-mediated phagocytosis and anti-tumor immune responses. Nat Commun. 2024;15:5670. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 51] [Reference Citation Analysis (0)] |
| 37. | Sangro B, Sarobe P, Hervás-Stubbs S, Melero I. Advances in immunotherapy for hepatocellular carcinoma. Nat Rev Gastroenterol Hepatol. 2021;18:525-543. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1090] [Cited by in RCA: 1003] [Article Influence: 200.6] [Reference Citation Analysis (1)] |
| 38. | Yang Y, Wu H, Yang Y, Kang Y, He R, Zhou B, Guo H, Zhang J, Li J, Ge C, Wang T. Dual blockade of CD47 and CD24 signaling using a novel bispecific antibody fusion protein enhances macrophage immunotherapy. Mol Ther Oncolytics. 2023;31:100747. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 31] [Reference Citation Analysis (0)] |
| 39. | Willingham SB, Volkmer JP, Gentles AJ, Sahoo D, Dalerba P, Mitra SS, Wang J, Contreras-Trujillo H, Martin R, Cohen JD, Lovelace P, Scheeren FA, Chao MP, Weiskopf K, Tang C, Volkmer AK, Naik TJ, Storm TA, Mosley AR, Edris B, Schmid SM, Sun CK, Chua MS, Murillo O, Rajendran P, Cha AC, Chin RK, Kim D, Adorno M, Raveh T, Tseng D, Jaiswal S, Enger PØ, Steinberg GK, Li G, So SK, Majeti R, Harsh GR, van de Rijn M, Teng NN, Sunwoo JB, Alizadeh AA, Clarke MF, Weissman IL. The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors. Proc Natl Acad Sci U S A. 2012;109:6662-6667. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1463] [Cited by in RCA: 1371] [Article Influence: 97.9] [Reference Citation Analysis (4)] |
| 40. | Gordon SR, Maute RL, Dulken BW, Hutter G, George BM, McCracken MN, Gupta R, Tsai JM, Sinha R, Corey D, Ring AM, Connolly AJ, Weissman IL. PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity. Nature. 2017;545:495-499. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1947] [Cited by in RCA: 1817] [Article Influence: 201.9] [Reference Citation Analysis (4)] |
| 41. | Freeman GJ, Long AJ, Iwai Y, Bourque K, Chernova T, Nishimura H, Fitz LJ, Malenkovich N, Okazaki T, Byrne MC, Horton HF, Fouser L, Carter L, Ling V, Bowman MR, Carreno BM, Collins M, Wood CR, Honjo T. Engagement of the PD-1 immunoinhibitory receptor by a novel B7 family member leads to negative regulation of lymphocyte activation. J Exp Med. 2000;192:1027-1034. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 4347] [Cited by in RCA: 4140] [Article Influence: 159.2] [Reference Citation Analysis (6)] |
| 42. | Xiao N, Zhu X, Li K, Chen Y, Liu X, Xu B, Lei M, Xu J, Sun HC. Blocking siglec-10hi tumor-associated macrophages improves anti-tumor immunity and enhances immunotherapy for hepatocellular carcinoma. Exp Hematol Oncol. 2021;10:36. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 57] [Cited by in RCA: 49] [Article Influence: 9.8] [Reference Citation Analysis (1)] |
| 43. | Curran MA, Montalvo W, Yagita H, Allison JP. PD-1 and CTLA-4 combination blockade expands infiltrating T cells and reduces regulatory T and myeloid cells within B16 melanoma tumors. Proc Natl Acad Sci U S A. 2010;107:4275-4280. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1625] [Cited by in RCA: 1515] [Article Influence: 94.7] [Reference Citation Analysis (4)] |
| 44. | Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol. 2007;165:710-718. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 3379] [Cited by in RCA: 2910] [Article Influence: 153.2] [Reference Citation Analysis (0)] |
| 45. | Maimaitiming A, Zhou X, Ma X, Huang Y, Wang Q, Deng R, Ren Y, Chai X, Zhang P. Clinicopathological and Prognostic Value of Plasma CD24 Level in Hepatocellular Carcinoma. J Invest Surg. 2020;33:536-541. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 12] [Cited by in RCA: 11] [Article Influence: 1.8] [Reference Citation Analysis (0)] |
| 46. | Hemavathy OR, Marimuthu Ramaswamy M, Mohana Priya CD, Bhardwaj S. Role of Liquid Biopsy in Oral Premalignant and Malignant Lesions: Correlation with CD24 and CD44 Expression in Early Diagnosis of Oral Cancer. J Maxillofac Oral Surg. 2025;24:207-212. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1] [Cited by in RCA: 2] [Article Influence: 2.0] [Reference Citation Analysis (0)] |
| 47. | Liu Y, Zheng P. CD24-Siglec interactions in inflammatory diseases. Front Immunol. 2023;14:1174789. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 25] [Reference Citation Analysis (0)] |
| 48. | Barkal AA, Weiskopf K, Kao KS, Gordon SR, Rosental B, Yiu YY, George BM, Markovic M, Ring NG, Tsai JM, McKenna KM, Ho PY, Cheng RZ, Chen JY, Barkal LJ, Ring AM, Weissman IL, Maute RL. Engagement of MHC class I by the inhibitory receptor LILRB1 suppresses macrophages and is a target of cancer immunotherapy. Nat Immunol. 2018;19:76-84. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 517] [Cited by in RCA: 482] [Article Influence: 60.3] [Reference Citation Analysis (0)] |
| 49. | Murray PJ, Allen JE, Biswas SK, Fisher EA, Gilroy DW, Goerdt S, Gordon S, Hamilton JA, Ivashkiv LB, Lawrence T, Locati M, Mantovani A, Martinez FO, Mege JL, Mosser DM, Natoli G, Saeij JP, Schultze JL, Shirey KA, Sica A, Suttles J, Udalova I, van Ginderachter JA, Vogel SN, Wynn TA. Macrophage activation and polarization: nomenclature and experimental guidelines. Immunity. 2014;41:14-20. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 5296] [Cited by in RCA: 4890] [Article Influence: 407.5] [Reference Citation Analysis (4)] |
| 50. | D'Avola D, Villacorta-Martin C, Martins-Filho SN, Craig A, Labgaa I, von Felden J, Kimaada A, Bonaccorso A, Tabrizian P, Hartmann BM, Sebra R, Schwartz M, Villanueva A. High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma. Sci Rep. 2018;8:11570. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 72] [Cited by in RCA: 63] [Article Influence: 7.9] [Reference Citation Analysis (0)] |
| 51. | Chabon JJ, Hamilton EG, Kurtz DM, Esfahani MS, Moding EJ, Stehr H, Schroers-Martin J, Nabet BY, Chen B, Chaudhuri AA, Liu CL, Hui AB, Jin MC, Azad TD, Almanza D, Jeon YJ, Nesselbush MC, Co Ting Keh L, Bonilla RF, Yoo CH, Ko RB, Chen EL, Merriott DJ, Massion PP, Mansfield AS, Jen J, Ren HZ, Lin SH, Costantino CL, Burr R, Tibshirani R, Gambhir SS, Berry GJ, Jensen KC, West RB, Neal JW, Wakelee HA, Loo BW Jr, Kunder CA, Leung AN, Lui NS, Berry MF, Shrager JB, Nair VS, Haber DA, Sequist LV, Alizadeh AA, Diehn M. Integrating genomic features for non-invasive early lung cancer detection. Nature. 2020;580:245-251. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 361] [Cited by in RCA: 511] [Article Influence: 85.2] [Reference Citation Analysis (5)] |
| 52. | Wei JJ, Chiriboga L, Arslan AA, Melamed J, Yee H, Mittal K. Ethnic differences in expression of the dysregulated proteins in uterine leiomyomata. Hum Reprod. 2006;21:57-67. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 41] [Cited by in RCA: 45] [Article Influence: 2.1] [Reference Citation Analysis (0)] |
| 53. | Cohen JD, Li L, Wang Y, Thoburn C, Afsari B, Danilova L, Douville C, Javed AA, Wong F, Mattox A, Hruban RH, Wolfgang CL, Goggins MG, Dal Molin M, Wang TL, Roden R, Klein AP, Ptak J, Dobbyn L, Schaefer J, Silliman N, Popoli M, Vogelstein JT, Browne JD, Schoen RE, Brand RE, Tie J, Gibbs P, Wong HL, Mansfield AS, Jen J, Hanash SM, Falconi M, Allen PJ, Zhou S, Bettegowda C, Diaz LA Jr, Tomasetti C, Kinzler KW, Vogelstein B, Lennon AM, Papadopoulos N. Detection and localization of surgically resectable cancers with a multi-analyte blood test. Science. 2018;359:926-930. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 2393] [Cited by in RCA: 2076] [Article Influence: 259.5] [Reference Citation Analysis (4)] |
| 54. | Xue W, Chen S, Yin H, Tammela T, Papagiannakopoulos T, Joshi NS, Cai W, Yang G, Bronson R, Crowley DG, Zhang F, Anderson DG, Sharp PA, Jacks T. CRISPR-mediated direct mutation of cancer genes in the mouse liver. Nature. 2014;514:380-384. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 627] [Cited by in RCA: 605] [Article Influence: 50.4] [Reference Citation Analysis (0)] |
| 55. | Wang G, Chow RD, Zhu L, Bai Z, Ye L, Zhang F, Renauer PA, Dong MB, Dai X, Zhang X, Du Y, Cheng Y, Niu L, Chu Z, Kim K, Liao C, Clark P, Errami Y, Chen S. CRISPR-GEMM Pooled Mutagenic Screening Identifies KMT2D as a Major Modulator of Immune Checkpoint Blockade. Cancer Discov. 2020;10:1912-1933. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 93] [Cited by in RCA: 114] [Article Influence: 19.0] [Reference Citation Analysis (0)] |
| 56. | Weber J, Öllinger R, Friedrich M, Ehmer U, Barenboim M, Steiger K, Heid I, Mueller S, Maresch R, Engleitner T, Gross N, Geumann U, Fu B, Segler A, Yuan D, Lange S, Strong A, de la Rosa J, Esposito I, Liu P, Cadiñanos J, Vassiliou GS, Schmid RM, Schneider G, Unger K, Yang F, Braren R, Heikenwälder M, Varela I, Saur D, Bradley A, Rad R. CRISPR/Cas9 somatic multiplex-mutagenesis for high-throughput functional cancer genomics in mice. Proc Natl Acad Sci U S A. 2015;112:13982-13987. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 141] [Cited by in RCA: 147] [Article Influence: 13.4] [Reference Citation Analysis (0)] |
| 57. | Yin H, Xue W, Chen S, Bogorad RL, Benedetti E, Grompe M, Koteliansky V, Sharp PA, Jacks T, Anderson DG. Genome editing with Cas9 in adult mice corrects a disease mutation and phenotype. Nat Biotechnol. 2014;32:551-553. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 798] [Cited by in RCA: 712] [Article Influence: 59.3] [Reference Citation Analysis (0)] |
| 58. | Manguso RT, Pope HW, Zimmer MD, Brown FD, Yates KB, Miller BC, Collins NB, Bi K, LaFleur MW, Juneja VR, Weiss SA, Lo J, Fisher DE, Miao D, Van Allen E, Root DE, Sharpe AH, Doench JG, Haining WN. In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target. Nature. 2017;547:413-418. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1012] [Cited by in RCA: 904] [Article Influence: 100.4] [Reference Citation Analysis (1)] |
| 59. | Shalem O, Sanjana NE, Hartenian E, Shi X, Scott DA, Mikkelson T, Heckl D, Ebert BL, Root DE, Doench JG, Zhang F. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science. 2014;343:84-87. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 4863] [Cited by in RCA: 4069] [Article Influence: 339.1] [Reference Citation Analysis (4)] |
| 60. | Stoeckius M, Hafemeister C, Stephenson W, Houck-Loomis B, Chattopadhyay PK, Swerdlow H, Satija R, Smibert P. Simultaneous epitope and transcriptome measurement in single cells. Nat Methods. 2017;14:865-868. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 2952] [Cited by in RCA: 2232] [Article Influence: 248.0] [Reference Citation Analysis (4)] |
| 61. | Buenrostro JD, Wu B, Litzenburger UM, Ruff D, Gonzales ML, Snyder MP, Chang HY, Greenleaf WJ. Single-cell chromatin accessibility reveals principles of regulatory variation. Nature. 2015;523:486-490. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1324] [Cited by in RCA: 1692] [Article Influence: 153.8] [Reference Citation Analysis (3)] |
| 62. | Anderson AC, Joller N, Kuchroo VK. Lag-3, Tim-3, and TIGIT: Co-inhibitory Receptors with Specialized Functions in Immune Regulation. Immunity. 2016;44:989-1004. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1859] [Cited by in RCA: 1703] [Article Influence: 170.3] [Reference Citation Analysis (5)] |
| 63. | Thommen DS, Schumacher TN. T Cell Dysfunction in Cancer. Cancer Cell. 2018;33:547-562. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 806] [Cited by in RCA: 1007] [Article Influence: 125.9] [Reference Citation Analysis (4)] |
| 64. | Rodriques SG, Stickels RR, Goeva A, Martin CA, Murray E, Vanderburg CR, Welch J, Chen LM, Chen F, Macosko EZ. Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science. 2019;363:1463-1467. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1581] [Cited by in RCA: 1673] [Article Influence: 239.0] [Reference Citation Analysis (4)] |
| 65. | Merritt CR, Ong GT, Church SE, Barker K, Danaher P, Geiss G, Hoang M, Jung J, Liang Y, McKay-Fleisch J, Nguyen K, Norgaard Z, Sorg K, Sprague I, Warren C, Warren S, Webster PJ, Zhou Z, Zollinger DR, Dunaway DL, Mills GB, Beechem JM. Multiplex digital spatial profiling of proteins and RNA in fixed tissue. Nat Biotechnol. 2020;38:586-599. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 213] [Cited by in RCA: 737] [Article Influence: 122.8] [Reference Citation Analysis (3)] |
| 66. | June CH, O'Connor RS, Kawalekar OU, Ghassemi S, Milone MC. CAR T cell immunotherapy for human cancer. Science. 2018;359:1361-1365. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 2742] [Cited by in RCA: 2322] [Article Influence: 290.3] [Reference Citation Analysis (1)] |
| 67. | Sadelain M, Rivière I, Riddell S. Therapeutic T cell engineering. Nature. 2017;545:423-431. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 456] [Cited by in RCA: 676] [Article Influence: 75.1] [Reference Citation Analysis (3)] |
| 68. | Yang P, Yu F, Yao Z, Ding X, Xu H, Zhang J. CD24 is a novel target of chimeric antigen receptor T cells for the treatment of triple negative breast cancer. Cancer Immunol Immunother. 2023;72:3191-3202. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 5] [Cited by in RCA: 14] [Article Influence: 4.7] [Reference Citation Analysis (0)] |
| 69. | Drent E, Groen RW, Noort WA, Themeli M, Lammerts van Bueren JJ, Parren PW, Kuball J, Sebestyen Z, Yuan H, de Bruijn J, van de Donk NW, Martens AC, Lokhorst HM, Mutis T. Pre-clinical evaluation of CD38 chimeric antigen receptor engineered T cells for the treatment of multiple myeloma. Haematologica. 2016;101:616-625. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 101] [Cited by in RCA: 149] [Article Influence: 14.9] [Reference Citation Analysis (0)] |
| 70. | Cherkassky L, Morello A, Villena-Vargas J, Feng Y, Dimitrov DS, Jones DR, Sadelain M, Adusumilli PS. Human CAR T cells with cell-intrinsic PD-1 checkpoint blockade resist tumor-mediated inhibition. J Clin Invest. 2016;126:3130-3144. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 934] [Cited by in RCA: 879] [Article Influence: 87.9] [Reference Citation Analysis (0)] |
| 71. | Rupp LJ, Schumann K, Roybal KT, Gate RE, Ye CJ, Lim WA, Marson A. CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells. Sci Rep. 2017;7:737. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 642] [Cited by in RCA: 583] [Article Influence: 64.8] [Reference Citation Analysis (0)] |
| 72. | Zheng D, Qin L, Lv J, Che M, He B, Zheng Y, Lin S, Qi Y, Li M, Tang Z, Wang BC, Wu YL, Weinkove R, Carson G, Yao Y, Wong N, Lau J, Thiery JP, Qin D, Pan B, Xu K, Zhang Z, Li P. CD4+ anti-TGF-β CAR T cells and CD8+ conventional CAR T cells exhibit synergistic antitumor effects. Cell Rep Med. 2025;6:102020. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 5] [Reference Citation Analysis (0)] |
| 73. | Murali M, Kumar AR, Nair B, Pavithran K, Devan AR, Pradeep GK, Nath LR. Antibody-drug conjugate as targeted therapeutics against hepatocellular carcinoma: preclinical studies and clinical relevance. Clin Transl Oncol. 2022;24:407-431. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 12] [Cited by in RCA: 15] [Article Influence: 3.8] [Reference Citation Analysis (0)] |