Cited by 276Cancer Immunotherapy and BiomarkersSingle-cell and spatial transcriptomicsImmunotherapy and Immune Responses

Multimodal pooled Perturb-CITE-seq screens in patient models define mechanisms of cancer immune evasion

Open access
Frangieh, Chris J., Melms, Johannes C., Thakore, Pratiksha I., Geiger-Schuller, Kathryn R., Ho, Patricia, Luoma, Adrienne M., Cleary, Brian, Jerby-Arnon, Livnat +14 more·2021·Nature Genetics

Published version of a preprint

Abstract

Resistance to immune checkpoint inhibitors (ICIs) is a key challenge in cancer therapy. To elucidate underlying mechanisms, we developed Perturb-CITE-sequencing (Perturb-CITE-seq), enabling pooled clustered regularly interspaced short palindromic repeat (CRISPR)-Cas9 perturbations with single-cell transcriptome and protein readouts. In patient-derived melanoma cells and autologous tumor-infiltrating lymphocyte (TIL) co-cultures, we profiled transcriptomes and 20 proteins in ~218,000 cells under ~750 perturbations associated with cancer cell-intrinsic ICI resistance (ICR). We recover known mechanisms of resistance, including defects in the interferon-γ (IFN-γ)-JAK/STAT and antigen-presentation pathways in RNA, protein and perturbation space, and new ones, including loss/downregulation of CD58. Loss of CD58 conferred immune evasion in multiple co-culture models and was downregulated in tumors of melanoma patients with ICR. CD58 protein expression was not induced by IFN-γ signaling, and CD58 loss conferred immune evasion without compromising major histocompatibility complex (MHC) expression, suggesting that it acts orthogonally to known mechanisms of ICR. This work provides a framework for the deciphering of complex mechanisms by large-scale perturbation screens with multimodal, single-cell readouts, and discovers potentially clinically relevant mechanisms of immune evasion.

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Crossref · 10.1038/s41588-021-00779-1

Cites

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Claims the paper makes

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  • Findingown data

    Other enriched perturbations included CD47, CD58, and CDH19.

    “Other enriched perturbations included CD47, CD58, CDH19 and (Fig. 2d,e).”
    Quote in the paperNot a substantial claim
  • Findingown data

    Co-cultures of T cells and cancer cells resulted in dose- and time-dependent cancer cell killing.

    “co-cultures of T cells and cancer cells resulted in dose- (TIL:cancer cell ratio) and time-dependent cancer cell killing”
    Quote in the paperSubstantial claim
  • Findingown data

    Loss of CD58 conferred immune evasion in multiple co-culture models.

    “Loss of CD58 conferred immune evasion in multiple co-culture models”
    Quote in the paperSubstantial claim
  • Findingown data

    Perturb-CITE-seq enables pooled CRISPR-Cas9 perturbations to be read out together with single-cell transcriptomes and protein measurements.

    “we developed Perturb-CITE-seq, enabling pooled CRISPR-Cas9 perturbations with single-cell transcriptome and protein read-outs.”
    Quote in the paperSubstantial claim
  • Findingown data

    Loss or downregulation of CD58 confers immune evasion to T cell and in part NK cell mediated killing.

    “we find that loss or downregulation of CD58 confers immune evasion to T cell (and in part to Natural Killer (NK) cells) mediated killing”
    Quote in the paperSubstantial claim
  • May combine two claims. 46
  • Classified as probably not a substantial claim. 11
  • The quote only partly states this claim. 2
  • May combine two claims.

    Findingown data

    The study performed pooled Perturb-CITE-Seq screens targeting 248 ICR signature genes with 744 guides and profiled single-cell transcriptomes and 20 surface proteins in more than 218,000 cells.

    “We performed pooled Perturb-CITE-Seq screens of the ICR program genes in a patient-derived tumor-TIL co-culture model, targeting 248 genes of the ICR signature (744 targeting guides) and profiling single-cell transcriptomes and 20 surface proteins in >218,000 cells.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The CD58 finding was validated in additional patient models and in clinical scRNA-seq data from patients with ICR.

    “and we validate this finding in additional patient models and in clinical scRNA-seq data of patients with ICR.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The study developed an integrated analytical framework and recovered known clinically relevant immune resistance mutations along with novel ones.

    “We developed an integrated analytical framework and recover the known landscape of clinically relevant immune resistance mutations along with novel ones.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Perturbations of B2M, HLA-A, JAK1, JAK2, STAT1, IFNGR1, and IFNGR2 conferred immune evasion, consistent with clinical resistance mechanisms.

    “perturbations of B2M, HLA-A, JAK1, JAK2, STAT1, IFNGR1 and IFNGR2 (Fig. 2d,e, Extended Data Fig. 3e,f, Supplementary Table 2) conferred immune evasion, consistent with clinical mechanisms of resistance to immunotherapy7–9.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [7] Zaretsky, J. M. et al. Mutations associated with acquired resistance to PD-1 blockade in melanoma. N. Engl. J. Med. 375, 819–829 (2016). source

      Not checked in the free run.

    • cites [8] Sade-Feldman, M. et al. Resistance to checkpoint blockade therapy through inactivation of antigen presentation. Nat. Commun. 8, 1136 (2017). source

      Not checked in the free run.

    • cites [9] Jerby-Arnon, L. et al. A cancer cell program promotes T cell exclusion and resistance to checkpoint blockade. Cell 175, 984–997 (2018). source

      Not checked in the free run.

  • May combine two claims.

    Findingown data

    Tumor cell lysis was highly reproducible and specific to TCR/MHC Class I interactions.

    “Tumor cell lysis was highly reproducible and specific to T cell receptor (TCR)/MHC Class I interactions”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    At the protein level, MHC proteins and PD-L1 increased in IFNγ-treated versus control cells, and MHC proteins globally increased in co-culture versus control cells.

    “At the protein level, we observe increases in MHC proteins and PD-L1 (CD274) in IFNγ-treated vs. control cells; a global increase in MHC proteins in co-culture vs. control cells”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    CD58 KO conferred a different molecular phenotype than IFNγ-JAK/STAT pathway perturbations, belonged to a distinct module, and did not impact expression of antigen presentation genes.

    “the CD58 KO conferred a different molecular phenotype than IFNγ-JAK/STAT pathway perturbations, belonged to a distinct module, and did not impact the expression of antigen presentation genes”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    MaMel-134 TILs produce IFNγ, TNFα, and Granzyme-B.

    “MaMel-134 TILs produce IFNγ, TNFa, and Granzyme-B.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Integrating RNA and protein measurements highlighted gene programs common across conditions or unique to different conditions, with co-cultured cells uniquely enriched for induction of immune escape pathway genes and the ICR signature.

    “integrating RNA and protein measurements for joint analysis (Methods) highlighted gene programs that are either common across conditions, or unique to different conditions (Fig. 3i), with the co-cultured cells uniquely enriched for induction of immune escape pathway genes and the ICR signature.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    CD58 emerged as a compelling immune evasion mechanism because KO conferred resistance to T cell killing in the viability screen and CD58 RNA/protein were downregulated in cells surviving TIL co-culture.

    “CD58 emerged as a compelling mechanism of immune evasion: KO of CD58 conferred resistance to T cell killing in the viability screen and CD58 RNA/protein were down regulated in cells surviving TIL co-culture.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Neither B2M nor HLA-A KO impacted CD58 protein levels in the Perturb-CITE-Seq screen.

    “Conversely, neither B2M nor HLA-A KO impacted CD58 protein levels in our Perturb-CITE-Seq screen”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Flow cytometry showed CD58 KO did not alter MHC protein expression at baseline or their induction by IFNγ.

    “Using flow-cytometry, we show that compared to parental cells, CD58 KO did not alter expression of MHC proteins at baseline or their induction in response to IFNγ”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The Perturb-CITE-Seq model correctly reconstructed impacts of genes known to affect resistance to immunotherapy, especially the effect of perturbing the IFNγ response machinery, along with novel pathways.

    “The Perturb-CITE-Seq model correctly reconstructed impacts of genes known to affect resistance to immunotherapy, especially the effect of perturbing the IFNγ response machinery (Fig. 4b), along with novel pathways.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    CD58, CD47, and IFNGR1 protein levels were reduced in co-culture, concordant with enrichment of their genetic KO in the viability screen.

    “In particular, CD58, CD47, and IFNGR1 (CD119) protein levels were reduced in co-culture, concordant with enrichment of their genetic KO in the viability screen”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    In patient 2686 Cas9-expressing melanoma cells carrying the ICR library, pre-selection mKATE2+ fraction and post-puromycin survival correlate with Pearson R2=0.90.

    “Proportion of mKATE2+ cells prior to selection (x axis) and survival after puromycin selection (y axis) in 2686 melanoma Cas9 transgenic cells transduced with the ICR library. Line: Linear regression, Pearson R2=0.90.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Empirically, a second EM iteration had only a very modest effect on sgRNA/target assignments.

    “Empirically, adding a second iteration had only a very modest effect on sgRNA/target assignments.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The downregulated IFNγ program included key antigen presentation components, chemokines, inflammatory cytokines, interferon response elements, surface checkpoints, and differentiation genes.

    “The downregulated program included key components of antigen presentation and associated machinery (e.g., PSMB4, PSMB8, PSMB9, PSMA4, HLA-A,B,C gene and protein, HLA-E, HLA-F, HLAD-DPB1), chemokines associated with anti-tumor immunity (CXCL1, CXCL2, CXCL8, CXCL10, CXCL11), inflammatory cytokines (STAT3, IL1B, IL6), interferon response elements (STAT1, IRF1, IRF3, IFITM3, IFIT6), surface checkp”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In all three patient-derived melanoma cell line models, CD58 KO and B2M KO conferred resistance to T cell mediated killing, while PD-L1 KO sensitized cells.

    “In all models, CD58 KO and B2M KO conferred resistance (Fig. 5b-d) while PD-L1 KO sensitized cells to T cell mediated killing”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Within each condition, cell cycle and cell complexity affected RNA profiles.

    “Within each condition, both the cell cycle (G1/0, S, G2/M) (Fig. 3f) and complexity (Extended Data Fig. 4c) impacted RNA profiles”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Several programs, including cell cycle regulation, DNA repair, and antigen presentation, were shared across conditions, whereas immune escape programs were uniquely recovered in co-culture and interferon response genes in IFNγ stimulation.

    “Several programs, including cell cycle regulation, DNA repair, and antigen presentation, were shared across conditions, whereas immune escape programs were uniquely recovered in co-culture data, and interferon response genes in IFNγ stimulation”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    TILs from patient 2686 still induce IFNγ and TNFα, and reactivation with OKT-3 boosts Granzyme-B relative to IL2-only culture.

    “TILs from 2686 retain ability to induce IFNγ and TNFa, and OKT-3 reactivation leads to an increase in Granzyme-B production compared to TILs grown in IL2 alone.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The viability screen recovered known immune evasion mechanisms in a dose-dependent manner and identified several novel candidates.

    “Overall, the viability screen recovered known immune evasion mechanisms in a dose-dependent manner, and identified several novel candidates.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In the co-culture condition, one EM iteration moved 1,741 target assignments to near zero (confidence <25%), while a second iteration changed only 97 target-cell assignments.

    “For example, in the co-culture condition, a single iteration of EM adjusts the assignment of 1,741 targets to near zero (confidence that the cell contains an effective sgRNA < 25%), while an additional iteration only adjusted 97 target-cell assignments.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    MaMel-80 TILs produce IFNγ, TNFα, and Granzyme-B.

    “MaMel-80 TILs produce IFNγ, TNFa, and Granzyme-B.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    CITE profiles of 20 cell surface proteins do not reflect cell cycle phases or UMI count.

    “CITE profiles of 20 cell surface proteins do not reflect cell cycle phases (d) or UMI count (e).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Control and knockout melanoma cells show comparable induction of apoptosis in response to Staurosporin and resistance to DTIC.

    “Comparable induction of apoptosis in response to Staurosporin and resistance to DTIC in control and KO melanoma cells.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In co-culture, perturbing CD58 leaves B2M and HLA expression unchanged at both RNA and protein levels but increases CD274.

    “CD58 perturbation in co-culture does not affect B2M and HLA expression at the RNA and protein level but induces CD274.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The patient-derived melanoma-TIL co-culture with IFNγ pretreatment models T cell-mediated immune selection in human melanoma.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    A G2M cell cycle control program was learned from the control dataset.

    “G2M program learned from control dataset.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    CD58, also known as LFA3, is an understudied adhesion molecule typically expressed on antigen-presenting cells that binds CD2 on T and NK cells.

    “CD58 (also known as LFA3) is an understudied adhesion molecule, typically expressed on antigen-presenting cells, that binds CD2 on T cell and Natural Killer (NK) cells22.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [22] Arulanandam, A. R. et al. The CD58 (LFA-3) binding site is a localized and highly charged surface area on the AGFCC’C” face of the human CD2 adhesion domain. Proc. Natl Acad. Sci. USA 90, 11613–11617 (1993). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Activated T cells also express SIRPa, and interaction with CD47 increases T cell activation and cytokine production, which may affect the clinical benefit of CD47 blockade.

    “Recent studies revealed that activated T cells also express SIRPa and that interaction with CD47 results in increased T cell activation and cytokine production20, which may impact the potential clinical benefit of CD47-blockade21.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [20] Myers, L. M. et al. A functional subset of CD8+ T cells during chronic exhaustion is defined by SIRPα expression. Nat. Commun. 10, 794 (2019). source

      Not checked in the free run.

    • cites [21] Zhang, W. et al. Advances in anti-tumor treatments targeting the CD47/SIRPα Axis. Front. Immunol. 11, 18 (2020).

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    A proof-of-concept ECCITE-seq study detected protein, RNA, and guide RNAs in individual cells but was small-scale and lacked the analytical framework needed for large screens.

    “A proof-of-concept study using ECCITE-seq5 demonstrated simultaneous detection of protein, RNA, and guide RNAs in individual cells and was applied at a small scale without the analytical framework required for large scale screens.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [5] Mimitou, E. P. et al. Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells. Nat. Methods 16, 409–412 (2019). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Clinically relevant ICR mechanisms include B2M mutations causing MHC Class I loss, antigen presentation downregulation, and IFNγ-JAK/STAT mutations that impair response to T cell anti-tumor activity.

    “Clinically relevant mechanisms of include mutations in beta-2-microglobulin (B2M) resulting in loss of MHC Class I presentation, downregulation of the antigen presentation machinery, and mutations in the IFNγ-JAK/STAT pathway that impair response to T cell mediated anti-tumor activity7–9.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [7] Zaretsky, J. M. et al. Mutations associated with acquired resistance to PD-1 blockade in melanoma. N. Engl. J. Med. 375, 819–829 (2016). source

      Not checked in the free run.

    • cites [8] Sade-Feldman, M. et al. Resistance to checkpoint blockade therapy through inactivation of antigen presentation. Nat. Commun. 8, 1136 (2017). source

      Not checked in the free run.

    • cites [9] Jerby-Arnon, L. et al. A cancer cell program promotes T cell exclusion and resistance to checkpoint blockade. Cell 175, 984–997 (2018). source

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    CRISPR/Cas9 KO screens in murine models or engineered human cell lines identified putative novel immune evasion mechanisms involving chromatin regulators, TNFα signaling, SOX4, PTPN2, and APLNR, but their clinical relevance is unclear.

    “CRISPR/Cas9 KO screens in murine models or engineered human cell lines testing tumor-T cell interactions identified putative novel mechanisms of immune evasion involving chromatin regulators10, TNFα signaling11, SOX412, PTPN213, and APLNR10, yet their clinical relevance is unclear.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [10] Patel, S. J. et al. Identification of essential genes for cancer immunotherapy. Nature 548, 537–542 (2017). source

      Not checked in the free run.

    • cites [11] Kearney, C. J. et al. Tumor immune evasion arises through loss of TNF sensitivity. Sci. Immunol. 3, eaar3451 (2018).

      Not checked in the free run.

    • cites [12] Pan, D. et al. A major chromatin regulator determines resistance of tumor cells to T cell-mediated killing. Science 359, 770–775 (2018). source

      Not checked in the free run.

  • May combine two claims.

    Premisereasoning

    Many relevant phenotypes are best understood at the protein level and differ between RNA and protein, so prior Perturb-Seq schemes needed expansion.

    “However, many relevant phenotypes are functionally best understood at protein level, and are reflected differently at the RNA and protein level, thus requiring expansion of prior Perturb-Seq schemes.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    CD47 is a don't-eat-me signal on tumor cells that interacts with SIRPa on phagocytic cells, and blockade of the CD47/SIRPa axis improves tumor control in vivo.

    “CD47 is a “don’t eat me” signal on tumor cells that interacts with SIRPa on phagocytic cells; and blockade of the CD47/SIRPa axis improves tumor control in vivo19.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [19] Veillette, A. & Chen, J. SIRPα–CD47 immune checkpoint blockade in anticancer therapy. Trends Immunol. 39, 173–184 (2018). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    ICIs produce durable responses in some patients, but most patients either do not benefit or develop resistance over time.

    “While ICIs produce durable responses in some patients most patients either do not benefit or develop resistance over time.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [6] Sharma, P. & Allison, J. P. The future of immune checkpoint therapy. Science 348, 56–61 (2015). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    Perturb-CITE-Seq analysis rediscovered key immune evasion mechanisms, organized them into modules, related them to impacted genes and programs, and recovered new modules that may confer immune evasion beyond IFNγ-JAK/STAT and antigen presentation defects.

    “Taken together, our Perturb-CITE-Seq analysis rediscovered key mechanisms of immune evasion, organized them into modules and related them to the genes and programs they impact, as well as recovered new modules that may confer immune evasion beyond defects in the IFNγ-JAK/STAT pathway and antigen presentation.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Multiple transcripts and proteins implicated in modifying immunotherapy response are directly regulated by the IFNγ-JAK/STAT axis, suggesting some mechanisms are a consequence of defective IFNγ-JAK/STAT signaling rather than independent modes of resistance.

    “Thus, multiple transcripts and proteins implicated in modifying the response to immunotherapies are directly regulated by the IFNγ-JAK/STAT axis, suggesting that some of these mechanisms are a consequence of defective IFNγ-JAK/STAT signaling, rather than independent modes of resistance.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    PD-L1 is upregulated in CD58 KO, suggesting CD58 loss could confer immune evasion directly through reduced adhesion or indirectly through inhibitory PD-L1.

    “Furthermore, PD-L1 is upregulated in CD58 KO, suggesting that CD58 loss could confer immune evasion directly (reduced adhesion) or indirectly (inhibitory PD-L1)”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    The study presents a large-scale CRISPR/Cas9 screen with multi-modal single-cell readouts, providing a general approach and addressing a critical clinical challenge in a patient-derived cell culture model system.

    “Our study presents a large-scale CRISPR/Cas9 screen with multi-modal single-cell readouts, providing a general approach, as well as addressing a critical clinical challenge in a unique patient-derived cell culture model system.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Melanoma cells tested repeatedly negative for contamination with mycoplasma and other contaminants.

    “Melanoma cells tested repeatedly negative for contamination with mycoplasma and other contaminants using PlasmoTest (InvivoGen, San Diego, CA).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    CD58 KO also impacted NK-mediated killing, which may have implications for NK cell-based therapies in tumors with loss of antigen presentation.

    “CD58 KO also impacted NK-mediated killing (Fig. 5g), which may have implications for NK cell-based therapies in tumors with loss of antigen presentation.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Study design and conductreasoning

    The permutation test partially corrects for bias from sample size and effect size in regulatory coefficients and allows direct comparison of empirical p values across targets.

    “This procedure partially corrects for the bias of sample size and effect size in regulatory coefficients, and enables direct comparison of the empirical p values across targets.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Loss of CD58 confers immune evasion to a similar extent as loss of MHC Class I expression through B2M KO, but through an independent path and without impacting antigen presentation genes and proteins.

    “Our experiments and analysis show that loss of CD58 confers immune evasion to a similar extent as loss of MHC Class I expression itself (through B2M KO), but through an independent path, and without impacting the expression of antigen presentation genes and proteins”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Study design and conductown data

    Including cell cycle and cell complexity as covariates improved the model fit quality.

    “Including these covariates improved the model fit quality (residuals approach mean zero, independent and identically distributed; Extended Data Fig. 6b,c).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Some genes down-regulated by IFNγ pathway perturbations, such as CXCL10 and CXCL11, were previously associated with immune evasion, suggesting these do not represent salient mechanisms of immune evasion.

    “Some of the genes down-regulated by IFNγ pathway perturbations, such as CXCL10 and CXCL11, are genes whose downregulation was previously associated with immune evasion, suggesting that these do not represent a salient mechanisms of immune evasion.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A full expectation-maximization approach is not guaranteed to converge to a global minimum in high-dimensional linear regression with noisy and missing data.

    “A full EM approach is not guaranteed to converge to a global minimum in a high-dimensional linear regression problem with noisy and missing data36.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [36] Loh, P.-L. & Wainwright, M. J. High-dimensional regression with noisy and missing data: provable guarantees with nonconvexity. Ann. Stat. 40, 1637–1664 (2012). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Upregulation of MYC and CDK4/6 and their transcriptional targets was associated with increased resistance to immunotherapy, and CDK4/6 inhibitors reduced resistance in human and pre-clinical melanoma models.

    “consistent with our previously reported patient and pre-clinical data, where we demonstrate that upregulation of MYC and CDK4/6 (and their transcriptional targets) was associated with increased resistance to immunotherapy, and CDK4/6 inhibitors reduced resistance in human and pre-clinical melanoma models9.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [9] Jerby-Arnon, L. et al. A cancer cell program promotes T cell exclusion and resistance to checkpoint blockade. Cell 175, 984–997 (2018). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    All experiments were performed in triplicates in each of at least two independent experiments.

    “All experiments were performed in triplicates in each of at least two independent experiments.”
    • Also stated in: § Extended Data · plain
      “All experiments were performed in triplicates in each of at least two independent experiments.”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Study design and conductown data

    The CRISPR/Cas9 viability screen is reproducible across triplicates.

    “Screen reproducibility across triplicates.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    The CD58/CD2 axis is a potent co-stimulatory pathway in CD8+ T cells that lack CD28, which are common in the tumor microenvironment and peripheral blood of solid tumor patients and were predominant in the Perturb-CITE-Seq screen.

    “Notably, the CD58/CD2 axis is a potent co-stimulatory pathway in CD8+ T cells that lack expression of CD28 (CD8+CD28- T cells)29, which are common in the tumor-microenvironment and peripheral blood of solid tumor patients30, and were the predominant T cells in our Perturb-CITE-Seq screen”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [29] Leitner, J., Herndler-Brandstetter, D., Zlabinger, G. J., Grubeck-Loebenstein, B. & Steinberger, P. CD58/CD2 is the primary costimulatory pathway in human CD28–CD8+ T cells. J. Immunol. 195, 477–487 (2015). source

      Not checked in the free run.

    • cites [30] Strioga, M., Pasukoniene, V. & Characiejus, D. CD8+CD28– and CD8+CD57+ T cells and their role in health and disease. Immunology 134, 17–32 (2011). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    The study recovers the landscape of resistance mechanisms to immunotherapies and validates a novel mechanism of immune resistance.

    “We recover the landscape of resistance mechanisms to immunotherapies and, guided by our high-dimensional data, validate a novel mechanism of immune resistance.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Other genes whose perturbation enhanced immune evasion in the screen, such as CD58 and CD59, appear to reflect distinct mechanisms because their expression was not impaired by IFNγ signaling defects and their molecular phenotype following perturbation is distinct.

    “In contrast, other genes whose perturbation enhanced immune evasion in our screen (e.g., CD58, CD59) appear to reflect distinct mechanism, both because their expression was not impaired by IFNγ signaling defects, and because the molecular phenotype following their perturbation is distinct.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Reduced CD58 does not directly impair antigen presentation or JAK/STAT signaling, but lowers T cell co-stimulation and raises PD-L1-mediated co-inhibition, leading to resistance to T cell killing.

    “Loss or downregulation of CD58 does not interfere with antigen presentation or JAK/STAT-signaling per se, but reduces T cell co-stimulation while simultaneously promoting increased co-inhibitory signaling via PD-L1, and therefore overall confers resistance to T cell mediated killing.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The patient-derived melanoma-TIL co-culture with IFNγ pretreatment models T cell-mediated immune selection in human melanoma.
54 of 54
  • The paper relies on this without support.

    Genetic signals account for only a minority of ICI resistance cases.

    “However, genetic signals only account for a minority of cases.”
  • The paper relies on this without support.

    The role of CD58 in cancer is poorly understood.

    “The role of CD58 in cancer is poorly understood.”
  • The paper relies on this without support.

    The patient-derived melanoma-TIL co-culture with IFNγ pretreatment models T cell-mediated immune selection in human melanoma.

    “Surviving target cells on distinct plates containing all conditions as triplicates were counted to quantify target cell killing to verify accurate immune selection pressure as previously determined in the miniaturized co-culture experiments (above).”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Three CITE-seq datasets have protein and RNA counts that are downloadable separately.

    “Three CITE-seq datasets have protein and RNA counts that are downloadable separately6,9.”

    From scPerturb: harmonized single-cell perturbation data (2024) · cites this paper as [6]

  • Protein, RNA and ATAC readouts for CRISPRi perturbation of MYC are all available for K562 cells.

    “Protein, RNA and ATAC readouts for CRISPRi perturbation of MYC are all available for K562 cells6,20,42.”

    From scPerturb: harmonized single-cell perturbation data (2024) · cites this paper as [6]

  • ECCITE-seq and Perturb-CITE-seq entail in tandem detection of transcripts, proteins, and sgRNAs.

    “ECCITE-seq [15] and Perturb-CITE-seq [16] are two paradigmatic cases that entail in tandem detection of transcripts, proteins, and sgRNAs.”

Cites

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Authors
Frangieh, C. J., Melms, J. C., Thakore, P. I., Geiger-Schuller, K. R., Ho, P., Luoma, A. M., Cleary, B., Jerby-Arnon, L., Malu, S., Cuoco, M. S., Zhao, M., Ager, C. R., Rogava, M., Hovey, L., Rotem, A., Bernatchez, C., Wucherpfennig, K. W., Johnson, B. E., Rozenblatt-Rosen, O., Schadendorf, D., Regev, A., & Izar, B.
Affiliations
  • Broad Institute (US)
  • Columbia University Irving Medical Center (US)
  • Dana-Farber Cancer Institute (US)
  • Immunitas Therapeutics (United States) (US)
  • Columbia University (US)
  • The University of Texas MD Anderson Cancer Center (US)
  • Essen University Hospital (DE)
Corresponding author
  • Regev, Aviv
  • Izar, Benjamin
Venue
Nature Genetics
Published
2021-03
Volume
53
Issue
3
Pages
332-341
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W3134444564
Cited by
276
References
47
Citations by year
2026: 54 · 2025: 66 · 2024: 58 · 2023: 44 · 2022: 35 · 2021: 19
FWCI
14.21
Type
journal article
Language
en
Open access
Locations
  • Nature Genetics (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders
  • Burroughs Wellcome Fund
  • U.S. Department of Health & Human Services | NIH | National Cancer Institute (K08CA222663, U54CA225088, P30CA013696)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
Keywords
tumor immune evasion, immune checkpoint inhibitor resistance, melanoma, tumor-infiltrating lymphocytes, CD58, interferon-gamma signaling, JAK/STAT signaling, antigen presentation, MHC expression, single-cell transcriptomics, single-cell proteomics, patient-derived tumor models
MeSH terms
Immune Checkpoint Inhibitors, Epitopes, Humans, Interferon-gamma, Melanoma, Lymphocytes, Tumor-Infiltrating, Sequence Analysis, RNA, Coculture Techniques, CD58 Antigens, Drug Resistance, Neoplasm, Tumor Escape, Computational Biology, Gene Knockout Techniques, Single-Cell Analysis, CRISPR-Cas Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-04.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-04.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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