bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.03.06.583752

Lack of TGFβ signaling competency predicts immune poor cancer conversion to immune rich and response to checkpoint blockade

Abstract

BackgroundThe efficacy of immune checkpoint blockade (ICB) depends on restoring immune recognition of cancer cells that have evaded immune surveillance. At the time of diagnosis, patients with lymphocyte-infiltrated cancers are the most responsive to ICB, yet a considerable fraction of patients have immune-poor tumors. MethodsWe analyzed transcriptomic data from IMvigor210, TCGA, and TISMO datasets to evaluate the predictive value of {beta}Alt, a score representing the negative correlation of signatures consisting of transforming growth factor beta (TGF{beta}) targets and genes involved in error-prone DNA repair. The immune context of {beta}Alt was assessed by evaluating tumor-educated immune signatures. An ICB-resistant, high {beta}Alt preclinical tumor model was treated with a TGF{beta} inhibitor, radiation, and/or ICB and assessed for immune composition and tumor control. ResultsHere, we show that high {beta}Alt is associated with an immune-poor context yet is predictive of ICB response in both humans and mice. A high {beta}Alt cancer in which TGF{beta} signaling is compromised generates a TGF{beta} rich, immunosuppressive tumor microenvironment. Accordingly, preclinical modeling showed that TGF{beta} inhibition followed by radiotherapy could convert an immune-poor, ICB-resistant tumor to an immune-rich, ICB-responsive tumor. Mechanistically, TGF{beta} blockade in irradiated tumors activated natural killer cells that were required to recruit lymphocytes to respond to ICB. In support of this, natural killer cell activation signatures were also increased in immune-poor mouse and human tumors that responded to ICB. ConclusionsThese studies suggest that loss of TGF{beta} competency identifies a subset of cold tumors that are candidates for ICB. Our mechanistic studies show that inhibiting TGF{beta} activity converts high {beta}Alt, cold tumors into ICB-responsive tumors via NK cells. Thus, a biomarker consisting of combined TGF{beta}, DNA repair, and immune context signatures provides a means to prospectively identify patients whose cancers may be converted from cold to hot, which could be exploited for therapeutic treatment. O_LIWhat is already known on this topic - For some cancer patients, response to ICB provides durable tumor control. Current biomarkers are insufficient to reliably predict the immunotherapy response for most patients, particularly those whose tumors lack lymphocytic infiltration. C_LIO_LIWhat this study adds - The {beta}Alt score, which reports a DNA damage deficiency caused by lack of TGF{beta} signaling, predicts response to ICB in clinical trial data from IMvigor210 metastatic bladder cancer patients and for melanoma patients. Notably, transcriptomic assessment of the immune context shows that these are immune-poor, so-called "cold" tumors. Preclinical modeling indicates that alleviating TGF{beta} inhibition of NK cells is critical to relieving immunosuppression. C_LIO_LIHow this study might affect research, practice or policy - Our work identifies a novel tumor phenotype consisting of cancer cells that have lost TGF{beta} signaling and gained error-prone DNA repair embedded in a TGF{beta} rich, immune-poor microenvironment, which is conserved across cancer types in humans and among preclinical tumor models. Patients whose immune-poor tumors have high {beta}Alt scores are strong candidates for ICB and radiotherapy combinations that may be further augmented by TGF{beta} inhibition. Hence, the {beta}Alt score can be used to stratify immune-poor cancer patients for optimal therapeutic strategies. C_LI

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Moore, J., Gkantalis, J., Guix, I., Chou, W., Yuen, K., Lazar, A., Spitzer, M. H., combes, a., Barcellos-Hoff, M. H.. 2024-03-08. Lack of TGFβ signaling competency predicts immune poor cancer conversion to immune rich and response to checkpoint blockade. https://doi.org/10.1101/2024.03.06.583752

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

m6A-Driven Intratumoral Cholesterol Biosynthesis Fuels Castration-Resistant Prostate Cancer Progression

Both nuclear pore complexes (NPCs) and RNA N6-methyladenosine (m6A) machinery are indispensable for proper cellular function. Although their collaborative roles in the nuclear export of messenger RNAs (mRNAs) have been reported, it remains ambiguous whether and how this collaboration may contribute to cancer progression. Here we identify a functional cooperation between NPCs and m6A signaling that promotes the development of castration-resistant prostate cancer (CRPC). We showed that nuclear export of m6A-modified mRNAs, mediated by the interaction between RNA methyltransferase METTL3 and the nucleoporin NUP93, is functionally coupled to cholesterol biosynthesis. Given that cholesterol-fueled intratumoral androgen production is one of the mechanisms driving CRPC, we demonstrated that overexpression of the wild-type METTL3 or NUP93, but neither the enzymatically dead METTL3 nor the mutant NUP93 that loses METTL3-interacting capability, elevates intracellular levels of androgens, activates AR signaling under castrate condition, and promotes androgen-independent growth of prostate cancer cells both in vitro and in vivo. Importantly, pharmacological inhibition of METTL3 or targeted demethylation on mRNAs encoding key cholesterol biosynthesis enzymes effectively suppressed CRPC malignancy. Together, these findings uncover a therapeutically targetable m6A-METTL3-NUP93 axis that links nuclear mRNA export and metabolic reprogramming to fuel CRPC progression, providing a conceptually new strategy for the treatment of this lethal disease.

cancer biology↗

ST6Gal2 promotes α2,6-sialylation and aggressive phenotypes in neuroblastoma cells

Neuroblastoma is the most common extracranial solid tumor of childhood. Its clinical behavior ranges from spontaneous regression to lethal, treatment-refractory disease. Aberrant 2,6-sialylation contributes to aggressive phenotypes in many cancers, but the role of ST6Gal2, a neural-enriched 2,6-sialyltransferase, in neuroblastoma is largely unexplored. Here, we examine the clinical and functional significance of ST6Gal2 in neuroblastoma. In two independent public cohorts (SEQC, n=498; Kocak, n=649), high ST6GAL2 expression was associated with significantly worse overall and event-free survival. In the SEQC cohort, ST6GAL2 expression was higher in high-risk and MYCN-amplified tumors, varied across International Neuroblastoma Staging System stages, and correlated positively with a mesenchymal transcriptional signature (Spearman {rho}=0.181). The mesenchymal correlation was reproduced in the Kocak cohort ({rho}=0.204). Stable shRNA-mediated knockdown of ST6GAL2 in SK-N-AS and SK-N-BE(2) cells reduced proliferation and viability, impaired wound closure, and decreased migration and invasion. In preliminary experiments in SK-N-AS cells, ST6GAL2 knockdown reduced binding of Sambucus nigra agglutinin, consistent with a role for ST6Gal2 in 2,6-sialylation. Together, these findings link ST6Gal2 expression to aggressive clinical and transcriptional features and pro-tumorigenic phenotypes in neuroblastoma and nominate ST6Gal2-mediated sialylation as a candidate pathway for mechanistic study.

cancer biology↗

Unsupervised transcriptomic analysis of paired pre- and post-treatment specimens reveals divergent chemoimmunomodulatory induction trajectories in breast cancer

The immunomodulatory effects of chemotherapy (chemoimmunomodulation; CIM) are clinically consequential and heterogeneous, yet no systematic framework exists for classifying the immunomodulatory trajectory a tumor follows in response to treatment (CIM trajectory). Here, we present the CIM Induction Classifier (CIMIC), an unsupervised clustering pipeline leveraging delta gene expression across 3,189 CIM-related genes to classify specimens chemoimmunomodulatory trajectory. Applied to two pre- and post-chemotherapy breast cancer (BC) datasets (NKI/SMC, N = 36; NEO, N = 19) and nine epirubicin-perturbed triple-negative BC (TNBC) cell lines, CIMIC identified two divergent CIM trajectories: a functional CIM (Fun-CIM) trajectory, broadly conserved across tumors and cell lines and characterized by induction of inflammatory cell death, antigen presentation, viral mimicry, and adaptive immune activation programs, and a dysfunctional CIM (Dys-CIM) trajectory, characterized by induction of proteostatic and metabolic stress-adaptation programs, reduced immune cell abundances and cytotoxic activity, and enrichment of aggressive BC subtypes. Using survival and longitudinal transcriptomic data in NKI/SMC (N = 20), treatment-induced increases in Fun-CIM-associated genes and ssGSEA scores were associated with reduced recurrence, whereas Dys-CIM-associated genes and scores were associated with increased recurrence. In multivariable analyses within independent chemotherapy-treated BC cohorts (METABRIC, N = 412; SCAN-B, N = 2,462), higher baseline Fun-CIM ssGSEA scores were associated with better outcomes, whereas higher baseline Dys-CIM ssGSEA scores were associated with worse outcomes. These findings establish CIM as a dynamic, trajectory-level process and position CIMIC as a framework for defining CIM trajectories and supporting future efforts to identify predictors, mechanisms, and therapeutic strategies that maximize beneficial CIM.

cancer biology↗