Cancer-associated Mutations Research Articles

Orphan nuclear receptor NR2E3 is a new molecular vulnerability in solid tumors by activating p53

The orphan nuclear receptor NR2E3 has emerged as a potential tumor suppressor, yet its precise mechanisms in tumorigenesis require further investigation. Here, we demonstrate that the full-length protein isoform of NR2E3 instead of its short isoform activates wild-type p53 and is capable of rescuing certain p53 mutations in various cancer cell lines. Importantly, we observe a higher frequency of NR2E3 mutations in three solid tumors compared to the reference population, highlighting its potential significance in tumorigenesis. Specifically, we identify a cancer-associated NR2E3R97H mutation, which not only fails to activate p53 but also impedes NR2E3WT-mediated p53 acetylation. Moreover, we show that the small-molecule agonist of NR2E3, 11a, penetrates tumor mass of uterine cancer patients and increases p53 activation. Additionally, both NR2E3 and 11a exhibit similar multifaceted anti-cancer properties, underscoring NR2E3 as a novel molecular vulnerability in cancer cells. We further explore drug repurposing screens of FDA-approved anti-cancer drugs to develop NR2E3-targeted combinatorial treatments, such as the 11a-Romidepsin combination in HeLa cells. The underlying molecular mechanisms of these drug synergies include the activation of p53 pathway and inhibition of oncogenic pathway like MYC. Overall, our findings suggest that NR2E3 holds promise as a therapeutic target for cancer treatment, offering new avenues for effective anti-cancer strategies.

Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations

The mutational landscape of TP53, a tumor suppressor mutated in about half of all cancers, includes over 2,000 known missense mutations. To fully leverage TP53 mutation status for personalized medicine, a thorough understanding of the functional diversity of these mutations is essential. We conducted a deep mutational scan using saturation genome editing with CRISPR-mediated homology-directed repair to engineer 9,225 TP53 variants in cancer cells. This high-resolution approach, covering 94.5% of all cancer-associated TP53 missense mutations, precisely mapped the impact of individual mutations on tumor cell fitness, surpassing previous deep mutational scan studies in distinguishing benign from pathogenic variants. Our results revealed even subtle loss-of-function phenotypes and identified promising mutants for pharmacological reactivation. Moreover, we uncovered the roles of splicing alterations and nonsense-mediated messenger RNA decay in mutation-driven TP53 dysfunction. These findings underscore the power of saturation genome editing in advancing clinical TP53 variant interpretation for genetic counseling and personalized cancer therapy.

An in silico framework to visualize how cancer-associated mutations influence structural plasticity of the chemokine receptor CCR3.

G protein Coupled Receptors (GPCRs) are the largest family of cell surface receptors in humans. Somatic mutations in GPCRs are implicated in cancer progression and metastasis, but mechanisms are poorly understood. Emerging evidence implicates perturbation of intra-receptor activation pathway motifs whereby extracellular signals are transmitted intracellularly. Recently, sufficiently sensitive methodology was described to calculate structural strain as a function of missense mutations in AlphaFold-predicted model structures, which was extensively validated on experimental and predicted structural datasets. When paired with Molecular Dynamics (MD) simulations, these tools provide a facile approach to screen mutations in silico. We applied this framework to calculate the structural and dynamic effects of cancer-associated mutations in the chemokine receptor CCR3, a Class A GPCR involved in cancer and autoimmune disorders. Residue-residue contact scoring refined effective strain results, highlighting significant remodeling of inter- and intra-motif contacts along the highly conserved GPCR activation pathway network. We then integrated AlphaFold-derived predicted Local Distance Difference Test scores with per-residue Root Mean Square Fluctuations and activation pathway Contact Analysis (CONAN) from coarse grain MD simulations to identify statistically significant changes in receptor dynamics upon mutation. Finally, analysis of negative control mutants suggests false positive results in AlphaFold pipelines should be considered but can be mitigated with stricter control of statistical analysis. Our results indicate selected mutants influence structural plasticity of CCR3 related to ligand interaction, activation, and G protein coupling, using a framework that could be applicable to a wide range of biochemically relevant protein targets following further validation.

Nucleo-cytoplasmic environment modulates spatiotemporal p53 phase separation.

Liquid-liquid phase separation of various transcription factors into biomolecular condensates plays an essential role in gene regulation. Here, using cellular models and in vitro studies, we show the spatiotemporal formation and material properties of p53 condensates that might dictate its function. In particular, p53 forms liquid-like condensates in the nucleus of cells, which can bind to DNA and perform transcriptional activity. However, cancer-associated mutations promote misfolding and partially rigidify the p53 condensates with impaired DNA binding ability. Irrespective of wild-type and mutant forms, the partitioning of p53 into cytoplasm leads to the condensate formation, which subsequently undergoes rapid solidification. In vitro studies show that abundant nuclear components such as RNA and nonspecific DNA promote multicomponent phase separation of the p53 core domain and maintain their liquid-like property, whereas specific DNA promotes its dissolution into tetrameric functional p53. This work provides mechanistic insights into how the life cycle and DNA binding properties of p53 might be regulated by phase separation.

Cancer-associated SF3B1 mutations inhibit mRNA nuclear export by disrupting SF3B1-THOC5 interactions.

Mutations in SF3B1 are common in many types of cancer, promoting cancer progression through aberrant RNA splicing. Recently, mRNA nuclear export has been reported to be defective in cells with the SF3B1 K700E mutation. However, the mechanism remains unclear. Our study reveals that the K700E mutation in SF3B1 attenuates its interaction with THOC5, an essential component of the mRNA nuclear export complex THO. Furthermore, the SF3B1 mutation caused reduced binding of THOC5 with some mRNA and inhibited the nuclear export of these mRNAs. Interestingly, overexpression of THOC5 restores the nuclear export of these mRNAs in cells with the SF3B1 K700E mutation. Importantly, other types of cancer-associated SF3B1 mutations also inhibited mRNA nuclear export similarly, suggesting that it is common for cancer-associated SF3B1 mutations to inhibit mRNA nuclear export. Our research highlights the critical role of the THOC5-SF3B1 interaction in the regulation of mRNA nuclear export and provides valuable insights into the impact of SF3B1 mutations on mRNA nuclear export.

Dual BACH1 regulation by complementary SCF-type E3 ligases.

Broad-complex, tramtrack, and bric-à-brac domain (BTB) and CNC homolog 1 (BACH1) is a key regulator of the cellular oxidative stress response and an oncogene that undergoes tight post-translational control by two distinct F-box ubiquitin ligases, SCFFBXO22 and SCFFBXL17. However, how both ligases recognize BACH1 under oxidative stress is unclear. In our study, we elucidate the mechanism by which FBXO22 recognizes a quaternary degron in a domain-swapped β-sheet of the BACH1 BTB dimer. Cancer-associated mutations and cysteine modifications destabilize the degron and impair FBXO22 binding but simultaneously expose an otherwise shielded degron in the dimer interface, allowing FBXL17 to recognize BACH1 as a monomer. These findings shed light on a ligase switch mechanism that enables post-translational regulation of BACH1 by complementary ligases depending on the stability of its BTB domain. Our results provide mechanistic insights into the oxidative stress response and may spur therapeutic approaches for targeting oxidative stress-related disorders and cancer.

Cancer-associated DAXX mutations reveal a critical role for ATRX localization in ALT suppression.

To maintain genome stability, proliferating cells must enact a program of telomere maintenance. While most tumors maintain telomeres through the action of telomerase, a subset of tumors utilize a DNA-templated process termed Alternative Lengthening of Telomeres or ALT. ALT is associated with mutations in the ATRX/DAXX/H3.3 histone chaperone complex, which is responsible for deposition of non-replicative histone variant H3.3 at heterochromatic regions of the genome including telomeres. We wished to better understand the role DAXX plays in ALT suppression, and to determine which disease-associated DAXX mutations are unable to suppress ALT. To answer this question, we have leveraged the G292 cell line, in which ATRX is wild type but DAXX has undergone a fusion event with the non-canonical kinesin KIFC3. Restoration of wild-type DAXX in G292 localizes ATRX and abrogates ALT. Using this model system, we tested the ability of a panel of disease-associated DAXX missense variants to suppress ALT. Missense mutations in the ATRX binding domain, the histone binding domain, and the C-terminal SUMO interaction motif reduce the ability of DAXX to suppress ALT. Unexpectedly, we find that mutations in the DAXX histone binding domain lead to failure of ATRX localization. We conclude that a key function of DAXX in ALT suppression is the localization of ATRX to nuclear foci.

Cancer-associated SF3B1 mutation K700E causes widespread changes in U2/branchpoint recognition without altering splicing.

Myelodysplastic syndromes and other cancers are often associated with mutations in the U2 snRNP protein SF3B1. Common SF3B1 mutations, including K700E, disrupt SF3B1 interaction with the protein SUGP1 and induce aberrant activation of cryptic 3' splice sites (ss), presumably resulting from aberrant U2/branch site (BS) recognition by the mutant spliceosome. Here, we apply the new method of U2 IP-seq to profile BS binding across the transcriptome of K562 leukemia cells carrying the SF3B1 K700E mutation. For cryptic 3' ss activated by K700E, we identify their associated BSs and show that they are indeed shifted from the WT sites. Unexpectedly, we also identify thousands of additional changes in BS binding in the mutant cells that do not alter 3' ss choice. These new BS are usually very close to the natural sites, occur upstream or downstream, and either exhibit stronger base-pairing potential with U2 snRNA or are adjacent to stronger polypyrimidine tracts than the WT sites. The widespread imprecision in BS recognition induced by K700E with limited changes in 3' ss selection supports a positive role for SUGP1 in early BS choice and expands the physiological consequences of this oncogenic mutation.

Tissue-Specific Effects of Aging on Repeat-Mediated Mutation Hotspots In Vivo.

Aging constitutes complex and dynamic alterations in molecular and physiological processes and is associated with numerous disorders, in part due to increased genetic instability. The aging population is projected to double by 2050, underscoring the urgent need to better understand the relationships between aging and age-related disorders. Repetitive DNA elements are intrinsic sources of genetic instability and have been found to co-localize with mutation hotspots in human cancer genomes. In this study, we explored the relationship between aging and DNA repeat-mediated genetic instability in vivo using an H-DNA-forming mirror-repeat sequence from the cancer-associated human c-MYC gene. Utilizing a unique mutation-reporter mouse model, we observed tissue-specific effects of aging on H-DNA-induced genetic instability, with mutation frequencies increasing in spleen tissues and remaining unchanged in testis tissues. Analysis of the mutation spectra revealed large deletion mutations as the primary contributor to increasing H-DNA-induced mutations, supported by increased cleavage activity of H-DNA structures in aged spleen tissues. Our findings demonstrate that aging has distinct tissue-specific effects on repeat-mediated, cancer-associated mutations, providing insights into the complex relationship between aging and cancer.

Mutations in Mig6 reduce inhibition of the epidermal growth factor receptor.

Mitogen-inducible gene 6 (Mig6) is a cellular inhibitor of epidermal growth factor receptor (EGFR) that binds directly to the EGFR kinase domain and interferes with signaling. Reduced Mig6 expression is correlated with increased EGFR activity in multiple cancer models. Here, we investigated whether disease-associated point mutations could reduce the inhibitory potency of Mig6. We show that several cancer-associated mutations, and a mutation derived from Alzheimer's Disease patients, diminish the ability of Mig6 to bind and inhibit EGFR invitro. In mammalian cells, the mutations decreased the Mig6-induced suppression of basal and EGF-stimulated autophosphorylation, MAP kinase phosphorylation, and cell migration. To probe the mechanisms by which the mutations could lead to reduced Mig6 inhibition, we constructed atomic-level computational models of Mig6 complexed with the EGFR catalytic domain, and performed molecular dynamics simulations for wild-type and mutant complexes.

Impact of a Cancer-Associated Mutation on Poly(ADP-ribose) Polymerase1 Inhibition.

Poly(ADP-ribose) polymerase1 (PARP1) plays a vital role in DNA repair and its inhibition in cancer cells may cause cell apoptosis. In this study, we investigated the effects of a PARP1 variant, V762A, which is strongly associated with several cancers in humans, on the inhibition of PARP1 by three FDA approved inhibitors: niraparib, rucaparib and talazoparib. Our work suggests that these inhibitors bind to the V762A mutant more effectively than to the wild-type (WT), with similar binding free energies between them. Talazoparib inhibition uniquely lowers the average residue fluctuations in the mutant than the WT including lower fluctuations of mutant's N- and C-terminal residues, conserved H-Y-E traid residues and donor loop (D-loop) residues which important for catalysis more effectively than other inhibitions. However, talazoparib also enhances destabilizing interactions between the mutation site in the HD domain in the mutant than WT. Further, talazoparib inhibition significantly disrupts the functional fluctuations of terminal regions in the mutant, which are otherwise present in the WT. Lastly, the mutation and inhibition do not significantly affect PARP1's essential dynamics.

The effect of cancer-associated mutations on ligand binding and receptor function – A case for the 5-HT2C receptor

The serotonin 5-HT2C receptor is a G protein-coupled receptor (GPCR) mainly expressed in the central nervous system. Besides regulating mood, appetite, and reproductive behavior, it has been identified as a potential target for cancer treatment. In this study, we aimed to investigate the effects of cancer patient-derived 5-HT2C receptor mutations on ligand binding and receptor functionality. By filtering the sequencing data from the Genomic Data Commons data portal (GDC), we selected 12 mutations from multiple cancer types. We found that the affinity of the endogenous agonist serotonin (5-HT) and inverse agonist mesulergine were both drastically decreased by mutations L209HECL2 and F328S6.52, which are located in the orthosteric binding pocket. In the calcium-flux assay, the potency of 5-HT was decreased at F328S6.52, while a trend of increased efficacy was observed. In contrast, 5-HT displayed higher affinity at E306K6.30 and E306A6.30, while a trend of decreased efficacy was observed. These two mutations may disrupt the conserved ionic interaction between E6.30 and R3.50, and thus increase the constitutive activity of the receptor. The inhibitory potency of mesulergine was increased at E306A6.30 but not E306K6.30. Lastly, P365H7.50 decreased the expression level of the receptor by more than ten-fold, which prevented further functional analyses. This study shows that cancer-associated mutations of 5-HT2C receptor have diverse effects on ligand binding and function. Such mutations may affect serotonin-mediated signaling in tumor cells as well as treatment strategies targeting this receptor.

Structure of METTL3-METTL14 with an m6A nucleotide reveals insights into m6A conversion and sensing.

The nuclear METTL3-METTL14 transfers a methyl group from SAM to convert the N 6 of adenosine (A) in RNA to m6A and in ssDNA to 6mA. m6A marks are prevalent in eukaryotic mRNAs and lncRNAs and modulate their stability and fate in a context-dependent manner. The cytoplasmic METTL3 can act as a m6A reader. However, the precise mechanism during m6A writing, reading, or sensing is unclear. Here, we present a ~2.5 Å structure of the methyltransferase core of human METTL3-METTL14 in complex with the reaction product mimic, N 6 -methyladenosine monophosphate (m6A), representing a state post-catalysis but before the release of m6A. m6A occupies an evolutionarily conserved RNA-binding pocket ~16 Å away from the SAM pocket that also frequently mutates in cancer. We propose a two-step model of swiveling of target A upon conversion to m6A and sensing its methylation status by this pocket, enabling it to actuate enzymes' switch from writer to an m6A-sensor. Cancer-associated mutations show impaired RNA binding dynamics, de-stacking, and defective m6A writing and sensing.

Bioinformatics approach to identifying potential cancer-associated mutations in CCL2

Chemokine C-C motif ligand 2 (CCL2), also known as monocyte chemoattractant protein 1 or small inducible cytokine A2, is a cytokine from the CC chemokine family. It plays a crucial role in recruiting monocytes, memory T-cells, and dendritic cells to inflammatory sites resulting from tissue injury or infection. C-C motif chemokine receptor 2 (CCR2) is a chemokine receptor that may influence lymphocyte function. The interaction between CCL2 and CCR2 is essential for inflammatory responses and cancer regulation, as it attracts monocytes and macrophages to tumor sites, facilitating tumor growth and metastasis. Given the importance of CCL2 in regulating cell trafficking and cancer progression, we employed a bioinformatics approach to examine the effects of oncogenic missense mutations in CCL2 on CCR2 activation. We used precise computational methods to identify the molecular characteristics responsible for the altered activity and interactions, thereby enhancing our understanding of the molecular mechanisms underlying disease progression. We generated a three-dimensional model of the CCL2 protein with the identified mutations using the I-TASSER algorithm. The effects of these mutations on the protein’s stability and functional properties were evaluated using various prediction tools, and molecular dynamics simulations were conducted using WebGro software. Our analysis of 83 CCL2 missense mutations identified 10 disease-causing mutations, including C59G, which was directly linked to cancer. The C59G mutation increases the binding interaction between CCL2 and CCR2. The C59G position was determined to be highly conserved, and substitutions of cysteine (C) 59 with glycine (G) altered CCL2 activity. Our results suggest that this mutation alters the CCL2–CCR2 binding activity, lowering the risk of developing cancer and defending against pathogen invasion during the neutrophil-mediated innate immune response.

Exploring the Molecular Impact of Cancer-associated Histone Mutations on Nucleosome Stability, Interactions and Higher-Order Structures

Nucleosomes, as key players in epigenetic regulation, interact with various chromatin factors and enzymes. Recently, a variety of studies have highlighted the significant roles that histone mutations play in the progression of various cancers. Cancer-associated mutations can disrupt nucleosome stability, dynamics and interactions, leading to profound effects on higher-order chromatin structure and epigenetic processes. In this review, we summarize the latest research that provides a comprehensive analysis of how histone mutations in cancers influence nucleosome dynamics, stability and interactions by altering their physicochemical properties. Moreover, we briefly explore the molecular mechanisms by which these mutations disrupt higher-order chromatin organization and epigenetic landscape.

Emerging roles of cancer-associated histone mutations in genomic instabilities.

Epigenetic mechanisms often fuel the quick evolution of cancer cells from normal cells. Mutations or aberrant expressions in the enzymes of DNA methylation, histone post-translational modifications, and chromatin remodellers have been extensively investigated in cancer pathogenesis; however, cancer-associated histone mutants have gained momentum in recent decades. Next-generation sequencing of cancer cells has identified somatic recurrent mutations in all the histones (H3, H4, H2A, H2B, and H1) with different frequencies for various tumour types. Importantly, the well-characterised H3K27M, H3G34R/V, and H3K36M mutations are termed as oncohistone mutants because of their wide roles, from defects in cellular differentiation, transcriptional dysregulation, and perturbed epigenomic profiles to genomic instabilities. Mechanistically, these histone mutants impart their effects on histone modifications and/or on irregular distributions of chromatin complexes. Recent studies have identified the crucial roles of the H3K27M and H3G34R/V mutants in the DNA damage response pathway, but their impacts on chemotherapy and tumour progression remain elusive. In this review, we summarise the recent developments in their functions toward genomic instabilities and tumour progression. Finally, we discuss how such a mechanistic understanding can be harnessed toward the potential treatment of tumours harbouring the H3K27M, H3G34R/V, and H3K36M mutations.

Ultrasensitive detection of cancer-associated nucleic acids and mutations by primer exchange reaction-based signal amplification and flow cytometry

The detection of cancer-associated nucleic acids and mutations through liquid biopsy has emerged as a highly promising non-invasive approach for early cancer detection and monitoring. In this study, we report the development of primer exchange reaction (PER) based signal amplification strategy that enables the rapid, sensitive and specific detection of nucleic acids bearing cancer specific single nucleotide mutations using flow cytometry. Using micrometer size beads as support for immobilizing oligonucleotides and programmable PER assembly for target oligonucleotide recognition and fluorescence signal amplification, we demonstrated the versatile detection of target nucleic acids including KRAS oligonucleotide, fragmented mRNAs, and miR-21. Moreover, our detection system can discriminate single base mutations frequently occurred in cancer-associated genes including KRAS, PIK3CA and P53 from cell extracts and circulating tumor DNAs (ctDNAs). The detection is highly sensitive, with a limit of detection down to 27 fM without pre-amplification. In view of a clinical application, we demonstrate the detection of single mutations after extraction and pre-amplification of ctDNAs from the plasma of breast cancer patients. Importantly, our detection strategy enabled the detection of single KRAS mutation even in the presence of 1000-fold excess of wild type (WT) DNA using multi-color flow cytometry detection approach. Overall, our strategy holds immense potential for clinical applications, offering significant improvements for early cancer detection and monitoring.

Co-freezing localized CRISPR-Cas12a system enables rapid and sensitive nucleic acid analysis

Rapid and sensitive nucleic acid detection is vital in disease diagnosis and therapeutic assessment. Herein, we propose a co-freezing localized CRISPR-Cas12a (CL-Cas12a) strategy for sensitive nucleic acid detection. The CL-Cas12a was obtained through a 15-minute co-freezing process, allowing the Cas12a/crRNA complex and hairpin reporter confined on the AuNPs surface with high load efficiency, for rapid sensing of nucleic acid with superior performance to other localized Cas12a strategies. This CL-Cas12a based platform could quantitatively detect targets down to 98 aM in 30 min with excellent specificity. Furthermore, the CL-Cas12a successful applied to detect human papillomavirus infection and human lung cancer-associated single-nucleotide mutations. We also achieved powerful signal amplification for imaging Survivin mRNA in living cells. These findings highlight the potential of CL-Cas12a as an effective tool for nucleic acid diagnostics and disease monitoring.Graphical abstract

Predicting somatic mutation origins in cell-free DNA by semi-supervised GAN models

MotivationDistinguishing between pathogenic cancer-associated mutations and other somatic variants present in cell-free DNA (cfDNA) is one of the challenges in the field of liquid biopsy. This distinction is critical, since the misclassification of mutations stemming from clonal hematopoiesis (CH) as tumor-derived and vice versa could result in inaccurate diagnoses and inappropriate therapeutic interventions for patients. ResultsWe addressed this by developing a specialized machine learning technique to differentiate tumor- or CH-related mutations in cfDNA. We established a comprehensive in-house reference catalog, comprising approximately 25,000 single nucleotide variants (SNVs), each linked to either tumor or CH origin. This reference serves as a foundation for training a deep learning model, which is structured on the semi-supervised generative adversarial network (SSGAN) architecture. By analyzing genomic coordinates and nucleotide composition of cfDNA variants, our model attains 95 % area under the curve (AUC) in classifying uncharacterized variants as CH or tumor-derived. In conclusion, our research emphasizes the potential of genomic feature prediction, using cfDNA data, to stand as a robust alternative to conventional multi-analyte sequencing methods. This approach not only enhances the accuracy of distinguishing CH from tumor mutations in liquid biopsy data, but also highlights the potential of advanced data analysis techniques and machine learning in genomics and personalized medicine. Availability: https://github.com/FPalizban/SSGAN.

Mut-Map: Comprehensive Computational Pipeline for Structural Mapping and Analysis of Cancer-Associated Mutations.

Understanding the functional impact of genetic mutations on protein structures is essential for advancing cancer research and developing targeted therapies. The main challenge lies in accurately mapping these mutations to protein structures and analysing their effects on protein function. To address this, Mut-Map (https://genemutation.org/) is a comprehensive computational pipeline designed to integrate mutation data from the Catalogue Of Somatic Mutations In Cancer database with protein structural data from the Protein Data Bank and AlphaFold models. The pipeline begins by taking a UniProt ID and proceeds through mapping corresponding Protein Data Bank structures, renumbering residues, and assessing disorder percentages. It then overlays mutation data, categorizes mutations based on structural context, and visualizes them using advanced tools like MolStar. This approach allows for a detailed analysis of how mutations may disrupt protein function by affecting key regions such as DNA interfaces, ligand-binding sites, and dimer interactions. To validate the pipeline, a case study on the TP53 gene, a critical tumour suppressor often mutated in cancers, was conducted. The analysis highlighted the most frequent mutations occurring at the DNA-binding interface, providing insights into their potential role in cancer progression. Mut-Map offers a powerful resource for elucidating the structural implications of cancer-associated mutations, paving the way for more targeted therapeutic strategies and advancing our understanding of protein structure-function relationships.