Institute of Cancer Research

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    5709 research outputs found

    The long-term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours.

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    BACKGROUND: Use of cyclin D1 (CCND1) gene amplification as a breast cancer biomarker has been hampered by conflicting assessments of the relationship between cyclin D1 protein levels and patient survival. Here, we aimed to clarify its prognostic and treatment predictive potential through comprehensive long-term survival analyses. METHODS: CCND1 amplification was assessed using SNP arrays from two cohorts of 1965 and 340 patients with matching gene expression array and clinical follow-up data of over 15 years. Kaplan-Meier and multivariable Cox regression analyses were used to determine survival differences between CCND1 amplified vs. non-amplified tumours in clinically relevant patient sets, within PAM50 subtypes and within treatment-specific subgroups. Boxplots and differential gene expression analyses were performed to assess differences between amplified vs. non-amplified tumours within PAM50 subtypes. RESULTS: When combining both cohorts, worse survival was found for patients with CCND1-amplified tumours in luminal A (HR = 1.68; 95% CI, 1.15-2.46), luminal B (1.37; 1.01-1.86) and ER+/LN-/HER2- (1.66; 1.14-2.41) subgroups. In gene expression analysis, CCND1-amplified luminal A tumours showed increased proliferation (P < 0.001) and decreased progesterone (P = 0.002) levels along with a large overlap in differentially expressed genes when comparing luminal A and B-amplified vs. non-amplified tumours. CONCLUSIONS: Our results indicate that CCND1 amplification is associated with worse 15-year survival in ER+/LN-/HER2-, luminal A and luminal B patients. Moreover, luminal A CCND1-amplified tumours display gene expression changes consistent with a more aggressive phenotype. These novel findings highlight the potential of CCND1 to identify patients that could benefit from long-term treatment strategies

    The 5-Hydroxymethylcytosine Landscape of Prostate Cancer.

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    UNLABELLED: Analysis of DNA methylation is a valuable tool to understand disease progression and is increasingly being used to create diagnostic and prognostic clinical biomarkers. While conversion of cytosine to 5-methylcytosine (5mC) commonly results in transcriptional repression, further conversion to 5-hydroxymethylcytosine (5hmC) is associated with transcriptional activation. Here we perform the first study integrating whole-genome 5hmC with DNA, 5mC, and transcriptome sequencing in clinical samples of benign, localized, and advanced prostate cancer. 5hmC is shown to mark activation of cancer drivers and downstream targets. Furthermore, 5hmC sequencing revealed profoundly altered cell states throughout the disease course, characterized by increased proliferation, oncogenic signaling, dedifferentiation, and lineage plasticity to neuroendocrine and gastrointestinal lineages. Finally, 5hmC sequencing of cell-free DNA from patients with metastatic disease proved useful as a prognostic biomarker able to identify an aggressive subtype of prostate cancer using the genes TOP2A and EZH2, previously only detectable by transcriptomic analysis of solid tumor biopsies. Overall, these findings reveal that 5hmC marks epigenomic activation in prostate cancer and identify hallmarks of prostate cancer progression with potential as biomarkers of aggressive disease. SIGNIFICANCE: In prostate cancer, 5-hydroxymethylcytosine delineates oncogene activation and stage-specific cell states and can be analyzed in liquid biopsies to detect cancer phenotypes. See related article by Wu and Attard, p. 3880

    Identification and characterisation of drug-tolerant persister cells arising in response to targeted CHK1 inhibition

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    Drug-tolerant persisters (DTPs) are a subpopulation of slow-cycling cells that have been identified in several cancer cell lines following lethal exposure to targeted and cytotoxic therapeutics and shown to precede acquisition of diverse and clinically relevant drug resistance mechanisms. To date, much of the data comes from studies using tyrosine kinase inhibitors and it is unclear if this persister phenotype is broadly observed in response to drugs that act by various anti-tumour mechanisms. Herein, a subpopulation of slow-cycling SK-N-AS cells survived treatment with lethal concentrations of SRA737; a clinically relevant CHK1 inhibitor. Surviving cells represent a large proportion of the starting population and have increased global histone H3 lysine 27 trimethylation (H3K27me3). Continued lethal SRA737 exposure leads to the emergence of a drugtolerant expanded persister (DTEP) population, marked by resumed proliferation and cross-resistance to other small molecule CHK1/CHK2 and DNA damage response (DDR) inhibitors. H3K27me3 remains elevated in DTEPs but is diminished after drug release, suggesting a role for epigenetic regulation/reprogramming in both DTP formation and progression. Inhibition of the H3K27 methyltransferase EZH2 using tazemetostat inhibits DTP-to-DTEP transition but fails to abrogate DTP formation or DTEP survival, confirming the requirement of epigenetic plasticity for persister cell progression. Comparison to SRA737 resistant populations generated by dose-escalation revealed differential responses to further CHK1 inhibition and specific enrichment of genes associated with JAK-STAT signalling in persister-derived populations. Interestingly, exogenous IFNγ, but not JAK inhibition, delayed the emergence of a drug resistant population from an SRA737-induced DTP bottleneck, suggesting that overactivation of the IFNγ signalling pathway is detrimental to DTP progression. In conclusion, I have characterised DTPs arising within a novel and clinically relevant therapeutic context, defined differences between pathways to drug resistance through DTPs and dose escalation, and uncovered EZH2 activity and IFNγ signalling as potential intervention points to eradicate this persistent population

    Recommendations for laboratory workflow that better support centralised amalgamation of genomic variant data: findings from CanVIG-UK national molecular laboratory survey.

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    BACKGROUND: National and international amalgamation of genomic data offers opportunity for research and audit, including analyses enabling improved classification of variants of uncertain significance. Review of individual-level data from National Health Service (NHS) testing of cancer susceptibility genes (2002-2023) submitted to the National Disease Registration Service revealed heterogeneity across participating laboratories regarding (1) the structure, quality and completeness of submitted data, and (2) the ease with which that data could be assembled locally for submission. METHODS: In May 2023, we undertook a closed online survey of 51 clinical scientists who provided consensus responses representing all 17 of 17 NHS molecular genetic laboratories in England and Wales which undertake NHS diagnostic analyses of cancer susceptibility genes. The survey included 18 questions relating to 'next-generation sequencing workflow' (11), 'variant classification' (3) and 'phenotypical context' (4). RESULTS: Widely differing processes were reported for transfer of variant data into their local LIMS (Laboratory Information Management System), for the formatting in which the variants are stored in the LIMS and which classes of variants are retained in the local LIMS. Differing local provisions and workflow for variant classifications were also reported, including the resources provided and the mechanisms by which classifications are stored. CONCLUSION: The survey responses illustrate heterogeneous laboratory workflow for preparation of genomic variant data from local LIMS for centralised submission. Workflow is often labour-intensive and inefficient, involving multiple manual steps which introduce opportunities for error. These survey findings and adoption of the concomitant recommendations may support improvement in laboratory dataflows, better facilitating submission of data for central amalgamation

    The response of the Eukaryotic replisome to DNA quadruplex structures

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    Sequences that can form DNA secondary structures, such as G-quadruplexes (G4s) and intercalated-Motifs (iMs), are abundant in the human genome and play a range of physiological roles. However, they can pose a challenge to the replication machinery and in turn threaten genome stability. Multiple lines of evidence suggest G4s interfere with replication, but the underlying mechanism of stalling and how this contributes to their roles in disease remains unclear. Moreover, there is a lack of evidence as to how iMs affect the replisome. In this study, I have reconstituted replication of physiologically derived structure-forming sequences to find that a single G4 or iM is sufficient to arrest DNA replication. I describe a range of approaches to attempt to detect the formation of secondary structures within the context of duplex DNA, many of which are widely used in the literature but proved unsuccessful in the context of this project. A novel technique, using solid-state nanopores to detect structures on a single molecule level, reveals that structures form as a consequence of replication. A combination of genetic and biophysical characterisation establishes that structure forming capacity is a key determinant of replisome arrest. Mechanistically, replication fork arrest is caused by impaired synthesis, resulting in helicase-polymerase uncoupling. Significantly, iMs also induce breakage of nascent DNA. Stalled forks can be rescued by a specialised helicase, Pif1, but not Rrm3, Sgs1, Chl1 or Hrq1. Finally, I address how the replicative helicase, CMG, responds differently to different types of DNA secondary structures, and is eventually able to bypass a pre-existing G4, iM or hairpin structure. Altogether, this study provides a potential mechanism for quadruplex structure formation and resolution during replication and highlights G4s and iMs as endogenous sources of replication stress, which may explain their genomic instability and mutation frequencies in cancer

    Transcriptional Profiling of a Patient-Matched Cohort of Glioblastoma (IDH-Wildtype) for Therapeutic Target and Repurposing Drug Identification.

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    Glioblastoma (GBM) is the most prevalent and aggressive adult brain tumor. Despite multi-modal therapies, GBM recurs, and patients have poor survival (~14 months). Resistance to therapy may originate from a subpopulation of tumor cells identified as glioma-stem cells (GSC), and new treatments are urgently needed to target these. The biology underpinning GBM recurrence was investigated using whole transcriptome profiling of patient-matched initial and recurrent GBM (recGBM). Differential expression analysis identified 147 significant probes. In total, 24 genes were validated using expression data from four public cohorts and the literature. Functional analyses revealed that transcriptional changes to recGBM were dominated by angiogenesis and immune-related processes. The role of MHC class II proteins in antigen presentation and the differentiation, proliferation, and infiltration of immune cells was enriched. These results suggest recGBM would benefit from immunotherapies. The altered gene signature was further analyzed in a connectivity mapping analysis with QUADrATiC software to identify FDA-approved repurposing drugs. Top-ranking target compounds that may be effective against GSC and GBM recurrence were rosiglitazone, nizatidine, pantoprazole, and tolmetin. Our translational bioinformatics pipeline provides an approach to identify target compounds for repurposing that may add clinical benefit in addition to standard therapies against resistant cancers such as GBM

    Amivantamab plus chemotherapy with and without lazertinib in EGFR-mutant advanced NSCLC after disease progression on osimertinib: primary results from the phase III MARIPOSA-2 study.

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    BACKGROUND: Amivantamab plus carboplatin-pemetrexed (chemotherapy) with and without lazertinib demonstrated antitumor activity in patients with refractory epidermal growth factor receptor (EGFR)-mutated advanced non-small-cell lung cancer (NSCLC) in phase I studies. These combinations were evaluated in a global phase III trial. PATIENTS AND METHODS: A total of 657 patients with EGFR-mutated (exon 19 deletions or L858R) locally advanced or metastatic NSCLC after disease progression on osimertinib were randomized 2 : 2 : 1 to receive amivantamab-lazertinib-chemotherapy, chemotherapy, or amivantamab-chemotherapy. The dual primary endpoints were progression-free survival (PFS) of amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy versus chemotherapy. During the study, hematologic toxicities observed in the amivantamab-lazertinib-chemotherapy arm necessitated a regimen change to start lazertinib after carboplatin completion. RESULTS: All baseline characteristics were well balanced across the three arms, including by history of brain metastases and prior brain radiation. PFS was significantly longer for amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy versus chemotherapy [hazard ratio (HR) for disease progression or death 0.48 and 0.44, respectively; P < 0.001 for both; median of 6.3 and 8.3 versus 4.2 months, respectively]. Consistent PFS results were seen by investigator assessment (HR for disease progression or death 0.41 and 0.38 for amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy, respectively; P < 0.001 for both; median of 8.2 and 8.3 versus 4.2 months, respectively). Objective response rate was significantly higher for amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy versus chemotherapy (64% and 63% versus 36%, respectively; P < 0.001 for both). Median intracranial PFS was 12.5 and 12.8 versus 8.3 months for amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy versus chemotherapy (HR for intracranial disease progression or death 0.55 and 0.58, respectively). Predominant adverse events (AEs) in the amivantamab-containing regimens were hematologic, EGFR-, and MET-related toxicities. Amivantamab-chemotherapy had lower rates of hematologic AEs than amivantamab-lazertinib-chemotherapy. CONCLUSIONS: Amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy improved PFS and intracranial PFS versus chemotherapy in a population with limited options after disease progression on osimertinib. Longer follow-up is needed for the modified amivantamab-lazertinib-chemotherapy regimen

    Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study.

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    PURPOSE: While there are several prognostic classifiers, to date, there are no validated predictive models that inform treatment selection for oropharyngeal squamous cell carcinoma (OPSCC).Our aim was to develop clinical and/or biomarker predictive models for patient outcome and treatment escalation for OPSCC. EXPERIMENTAL DESIGN: We retrospectively collated clinical data and samples from a consecutive cohort of OPSCC cases treated with curative intent at ten secondary care centers in United Kingdom and Poland between 1999 and 2012. We constructed tissue microarrays, which were stained and scored for 10 biomarkers. We then undertook multivariable regression of eight clinical parameters and 10 biomarkers on a development cohort of 600 patients. Models were validated on an independent, retrospectively collected, 385-patient cohort. RESULTS: A total of 985 subjects (median follow-up 5.03 years, range: 4.73-5.21 years) were included. The final biomarker classifier, comprising p16 and survivin immunohistochemistry, high-risk human papillomavirus (HPV) DNA in situ hybridization, and tumor-infiltrating lymphocytes, predicted benefit from combined surgery + adjuvant chemo/radiotherapy over primary chemoradiotherapy in the high-risk group [3-year overall survival (OS) 63.1% vs. 41.1%, respectively, HR = 0.32; 95% confidence interval (CI), 0.16-0.65; P = 0.002], but not in the low-risk group (HR = 0.4; 95% CI, 0.14-1.24; P = 0.114). On further adjustment by propensity scores, the adjusted HR in the high-risk group was 0.34, 95% CI = 0.17-0.67, P = 0.002, and in the low-risk group HR was 0.5, 95% CI = 0.1-2.38, P = 0.384. The concordance index was 0.73. CONCLUSIONS: We have developed a prognostic classifier, which also appears to demonstrate moderate predictive ability. External validation in a prospective setting is now underway to confirm this and prepare for clinical adoption

    Improving tumour target coverage in spine stereotactic radiotherapy

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    Spine stereotactic body radiotherapy (SBRT) has high rates of local control. Local control failure rates are higher in cases with epidural disease and radioresistant histologies. A limiting factor is the proximity of the spinal cord and the competing risk of radiation myelitis. The overlap of the target and spinal cord planning margins is often a deciding factor in target coverage and epidural dose. The aim of this thesis was to develop solutions to improve target coverage in spine SBRT. Chapter 2-4 were designed as a step-wise approach to developing spine SBRT on the MR-linac platform for the purposes of utilising adaptive radiotherapy to improve target coverage. Chapter 2 developed an imaging protocol with observer analysis of image structure clarity relevant to spine SBRT. Chapter 3 explored the capabilities of the platform and software to generate spine SBRT radiotherapy plans of equal quality and matching clinical goals compared to CyberKnife (Accuray, Sunnyvale), the current radiotherapy platform used at RMH. Chapter 4 simulated an online adaptive MR-linac workflow to show that standard spine SBRT workflows exceed the reported dose to the spinal cord by up to 27% in up to 80% of cases. Adaptive MR-linac workflows achieved small gains in PTV coverage we seen in a 3/5 of cases. Chapter 5 and 6 looked at positioning patients for CyberKnife based treatments in the prone setup to improve target coverage in posteriorly based vertebral tumours. 15 cases were retrospectively replanned in Chapter 5 to identify patient anatomical factors to guide a prospective study in chapter 6. The incomplete study was unable to show a benefit from prone treatment to improve PTV coverage to allow recommendations for clinical adoption. Chapter 7 utilised data from prior chapters to calculate spine planning risk volume (PRV) margins around the spinal cord. Reduced margins are expected to reduce the overlap of target and spinal cord planning volumes and improve coverage. A 1.75mm MR-linac spine PRV was recommended which is a reduction on current RMH margins and importantly was a markedly smaller margin than other standard radiotherapy platforms. A smaller CyberKnife supine PRV margin was achieved but in the prone position a smaller margin could not be recommended

    Subcellular Epithelial HMGB1 Expression Is Associated with Colorectal Neoplastic Progression, Male Sex, Mismatch Repair Protein Expression, Lymph Node Positivity, and an 'Immune Cold' Phenotype Associated with Poor Survival.

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    New treatment targets are needed for colorectal cancer (CRC). We define expression of High Mobility Group Box 1 (HMGB1) protein throughout colorectal neoplastic progression and examine the biological consequences of aberrant expression. HMGB1 is a ubiquitously expressed nuclear protein that shuttles to the cytoplasm under cellular stress. HMGB1 impacts cellular responses, acting as a cytokine when secreted. A total of 846 human tissue samples were retrieved; 6242 immunohistochemically stained sections were reviewed. Subcellular epithelial HMGB1 expression was assessed in a CRC Tissue Microarray (n = 650), normal colonic epithelium (n = 75), adenomatous polyps (n = 52), and CRC polyps (CaP, n = 69). Stromal lymphocyte phenotype was assessed in the CRC microarray and a subgroup of CaP. Normal colonic epithelium has strong nuclear and absent cytoplasmic HMGB1. With progression to CRC, there is an emergence of strong cytoplasmic HMGB1 (p < 0.001), pronounced at the leading cancer edge within CaP (p < 0.001), and reduction in nuclear HMGB1 (p < 0.001). In CRC, absent nuclear HMGB1 is associated with mismatch repair proteins (p = 0.001). Stronger cytoplasmic HMGB1 is associated with lymph node positivity (p < 0.001) and male sex (p = 0.009). Stronger nuclear (p = 0.011) and cytoplasmic (p = 0.002) HMGB1 is associated with greater CD4+ T-cell density, stronger nuclear HMGB1 is associated with greater FOXP3+ (p < 0.001) and ICOS+ (p = 0.018) lymphocyte density, and stronger nuclear HMGB1 is associated with reduced CD8+ T-cell density (p = 0.022). HMGB1 does not directly impact survival but is associated with an 'immune cold' tumour microenvironment which is associated with poor survival (p < 0.001). HMGB1 may represent a new treatment target for CRC


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