Utilisation of semiconductor sequencing for detection of actionable fusions in solid tumours

Oncogenic fusions represent compelling druggable targets in solid tumours highlighted by the recent site agnostic FDA approval of larotrectinib for NTRK rearrangements. However screening for fusions in routinely processed tissue samples is constrained due to degradation of nucleic acid as a result of formalin fixation., To investigate the clinical utility of semiconductor sequencing optimised for detection of actionable fusion transcripts in formalin fixed samples, we have undertaken an analysis of test trending data generated by a clinically validated next generation sequencing platform designed to capture 867 of the most clinically relevant druggable driver-partner oncogenic fusions. Here we show across a real-life cohort of 1112 patients with solid tumours that actionable fusions occur at high frequency (7.4%) with linkage to a wide range of targeted therapy protocols including seven fusion-drug matches with FDA/EMA approval and/or NCCN/ESMO recommendations and 80 clinical trials. The more prevalent actionable fusions identified were independent of tumour type in keeping with signalling via evolutionary conserved RAS/RAF/MEK/ERK, PI3K/AKT/MTOR, PLCy/PKC and JAK/STAT pathways. Taken together our data indicates that semiconductor sequencing for detection of actionable fusions can be integrated into routine diagnostic pathology workflows enabling the identification of personalised treatment options that have potential to improve clinical cancer management across many tumour types.

Utilisation of semiconductor sequencing for the detection of predictive biomarkers in glioblastoma

The standard treatment for glioblastoma involves a combination of surgery, radiation and chemotherapy but have limited impact on survival. The exponential increase in targeted agents directed at pivotal oncogenic pathways now provide new therapeutic opportunities for this tumour type. However, lack of comprehensive precision oncology testing at diagnosis means such therapeutic opportunities are potentially overlooked. To investigate the role of semiconductor sequencing for detection of predictive biomarkers in routine glioblastoma samples we have undertaken analysis of test trending data generated by a clinically validated next generation sequencing platform designed to capture actionable genomic variants distributed across 505 genes. Analysis was performed across a cohort of 55 glioblastoma patients. Analysis of trending data has revealed a complex and rich actionable mutational landscape in which 166 actionable mutations were detected across 36 genes linked to 17 off label targeted therapy protocols and 111 clinical trials. The majority of patients harboured three or more actionable mutations affecting key cancer related regulatory networks including the PI3K/AKT/MTOR and RAS/RAF/MEK/MAPK signalling pathways, DNA-damage repair pathways and cell cycle checkpoints. Linkage with immunotherapy and PARP inhibitors was identified in 44% of glioblastoma patients as a consequence of alterations in DNA-damage repair genes. Taken together our data indicates that precision oncology testing utilising semiconductor sequencing can be used to identify a broad therapeutic armamentarium of targeted therapies and immunotherapies that can be potentially employed for the improved clinical management of glioblastoma patients.

SARS-CoV-2 testing and sequencing for international arrivals reveals significant cross border transmission of high risk variants into the United Kingdom

BACKGROUND

Mandatory Day 2 and Day 8 PCR testing and variant sequencing of international arrivals has been recently introduced by the UK Government to mitigate against cross-border transmission of high-risk SARS-CoV-2 variants.

METHODS

SARS-CoV-2 testing and sequencing combines TaqPath CE-IVD COVID-19 RT-PCR with Ion AmpliSeq SARS-CoV-2 Next Generation Sequencing Assay. Retrospective analysis of test trending data was performed from initiation of testing on the 11th March through to the 14th April 2021.

FINDINGS

During this time interval, 203,065 SARS-CoV-2 PCR tests were performed, with 3,855 samples testing positive, giving a prevalence of 1.9%. In total 1,913 SARS-CoV-2 genomes were sequenced from positive cases with Ct values < 30 and 1,635 (85.5%) sequences passed quality metrics for lineage analysis. A high diversity of 49 different SARS-CoV-2 variants were identified, including the VOCs B.1.1.7 (Kent; 80.6%), B.1.351 (South Africa; 4.2%), B.1.617.2 (India; 1.7%), P.1 (Brazil; 0.4%) and B.1.1.7 with E484K (Bristol; 0.2%). Vaccine effectiveness was age-related and dose-dependent, ranging from 5% in > 60 with a single dose to 83% in <60 with both doses of a vaccine. Viral load was variant dependent with the B.1.617.2 showing a 21 fold increase in viral copy number compared to the other variants.

INTERPRETATION

The unexpectedly high prevalence of COVID-19 infection in UK arrivals is associated with a rich diversity of SARS-CoV-2 high risk variants entering the UK including the VOC B.1.617.2. Vaccination does not preclude infection and its effectiveness is significantly age-dependent and impacted by variant type. The rapid high-throughput test and sequence workflow we have adopted is particularly suited to the monitoring of cross border transmission and enables immediate public health interventions.

FUNDING

Data analysis conducted in this study was limited to secondary use of information previously collected in the course of normal care.

Clinical, Radiometabolic and Immunologic Effects of Olaparib in Locally Advanced Triple Negative Breast Cancer: The OLTRE Window of Opportunity Trial

INTRODUCTION

Olaparib is effective in metastatic triple negative breast cancer (TNBC) carrying germline mutations in DNA damage repair (DDR) genes BRCA1/2 (gBRCA-mut). The OLTRE window-of-opportunity trial preliminarily investigated potential pathologic, radiometabolic and immune biomarkers of early-response to olaparib in gBRCA-wild-type (wt) TNBC and, as proof-of-concept in gBRCA-mut HER2-negative BC.

METHODS

Patients received olaparib for 3 weeks (3w) before standard neoadjuvant chemotherapy and underwent multiple FDG18-PET/CT scan (basal, after olaparib), clinical assessments (basal, every 3w), tumor biopsies and blood samplings (baseline, after olaparib). Clinical and radiometabolic responses were evaluated according to RECIST1.1 and PERCIST criteria.

RESULTS

27 patients with gBRCA-wt TNBC and 8 with gBRCA-mut BC (6 TNBC, 2 HR+/HER2-negative) were enrolled. Three (11.1%) patients showed mutations in non-BRCA1/2 DDR genes and 4 (14.8%) in other genes. 3w olaparib induced 16/35 and 15/27 partial clinical and radiometabolic responses, including in 40.7% and 50.0% gBRCA-wt patients. gBRCA-mut tumors presented numerically higher tumor-infiltrating lymphocytes (TILs) levels and PD-L1 positive tumors. Clinical responders experienced a reduction in T-regs/T-eff ratio (p=0.05), B and NK lymphocytes (p=0.003 both), with an average increase in T-helpers rate (p<0.001) and CD4/CD8 ratio (p=0.02). Ki67% and TILs did not vary significantly (p=0.67 and p=0.77). A numerical increase in PD-L1 positive cases after olaparib was observed, though non-significant (p=0.134). No differences were observed according to gBRCA status and type of response.

CONCLUSIONS

Early-stage TNBC might be a target population for olaparib, irrespective of gBRCA mutations. Future trials should combine TILs, PD-L1 and gBRCA status to better identify candidates for escalated/de-escalated treatment strategies including olaparib.

Druggable fusion gene landscape in solid tumors

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Background: Kinases activated by gene fusions represent an important class of oncogenes in solid tumors highlighted by the unique site agnostic FDA approval of larotrectinib for NTRK gene rearrangements. However, the frequency and types of druggable fusions in solid tumors are not well characterized from the clinical perspective. Methods: Oncofocus is a clinically validated precision oncology platform that includes analysis of 399 druggable driver-partner oncogenic fusion genes linked to 140 unique targeted therapy protocols. A retrospective analysis of Oncofocus trending data in a real-life cohort of 1111 patients has been used to determine the actionable fusion gene landscape in solid tumors. Results: Eighty nine actionable fusion genes were identified in 1111 samples of solid tumors linked to 73 targeted therapy protocols. Seven of the samples harbored multiple fusion genes. Eighty two of the 1111 samples tested had at least one actionable fusion gene representing a frequency of 7.38%. The highest frequency of actionable fusions were observed in glioblastoma (23%), head and neck (12%), kidney (11%) and prostate (10%) cancers. Four of the seven samples with multiple actionable fusions were found in glioblastoma. Pancreatic, lung and endometrial cancers and cancer of unknown primary (CUPs) had an actionable fusion gene frequency ranging from 7-9%. TBL1XR1-PIK3CA, MET-MET, WHSC1L1-FGFR1 and EGFR VIII fusions were identified as the most common druggable fusions. All actionable fusion genes were found to interact with one or more of the following pathways RAS/RAF/MEK/ERK, PI3K/AKT/MTOR, PLCy/PKC and JAK/STAT. Although a targeted agent for TRK fusions now has FDA approval, this rearrangement appears to be a rare event. In contrast, inhibitors targeting the TBL1XR1-PIK3CA, MET-MET, WHSC1L1-FGFR1 fusions and linked downstream signalling pathways appear to offer much broader clinical utility. Conclusions: Druggable fusions were identified at an unexpectedly high frequency and should therefore be included as part of routine comprehensive precision oncology testing. Notably, many of the actionable fusions are not tumor type specific reinforcing the “site agnostic” approach to profiling and supporting the concept of “molecular basket” clinical trials. Precision oncology trending data also provides actionable mutational landscapes which can be used to refine precision oncology testing, patient selection for targeted therapy protocols and enhancement of clinical trial design.

Immunofocus-PD-L1 high throughput quantitative next generation sequencing assay

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Background: Immunohistochemical (IHC) assays are presently used as the gold standard predictive tests for immunotherapy but are compromised due to a number of potential variables. Comparative studies have demonstrated differing levels of PD-L1 staining between assays which appears independent of the antibody binding epitope. Secondly, inter-reader reliability even between expert pathologists is problematic particularly for assessment of PD-L1 positive immune cell populations. Methods: To improve predictive testing for anti PD-L1/PD1 immunotherapies we have developed and validated a Next Generation Sequencing Platform, Immunofocus, able to perform high-throughput quantitative PD-L1 gene expression levels in routine diagnostic PWET biopsies. We applied Immunofocus to a cohort of 130 NSCLCs and compared PD-L1 gene expression levels with PD-L1 IHC scores generated using the VENTANA PD-L1 (SP142) Assay. The PD-L1 IHC assessment was carried out double blinded by an independent laboratory. PD-L1 IHC scores were calculated using an algorithm combining tumour proportion score (TPS) with a PD-L1 positive immune cell (IC) score and immune cell area. Results: An exceptionally high degree of correlation was observed between the NGS PD-L1 levels with the combined PD-L1 IHC scores (P < 0.001). Therapeutic cut points for NGS PD-L1 levels were identified corresponding to PD-L1 IHC defined clinical cut points. Notably, ~20% of patients with negative PD-L1 IHC scores showed high NGS PD-L1 expression levels. We hypothesize that these cases represent false negatives and identify a cohort of patients who have shown significant response rates to anti-PD-L1/PD-directed immunotherapies. Conclusions: The Immunofocus NGS PD-L1 assay has potential to greatly improve patient selection for immunotherapy by removing the IHC assay variables and inter-reader variability which compromise current PD-L1 IHC tests while also providing standardized high throughput in the clinical setting. Immunofocus is able to integrate gene expression with somatic mutation analysis allowing capture of networks regulating the immune-checkpoint including for example adaptive and innate resistance pathways, JAK1/2 pathways, differential MHC expression, TEFF gene signature, neoantigen surrogates such as DDR defects and TMB. The integration of NGS PD-L1 expression with other putative biomarkers of response is presently ongoing to further improve prediction of response.

The actionable genomic mutational landscape in solid tumours

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Background: The recent exponential increase in targeted agents and immunotherapies provide new therapeutic opportunities for patients with advanced cancers who have failed first line therapy. However, lack of comprehensive precision oncology testing as part of routine pathology assessment means potential therapeutic opportunities are difficult to identify or remain undiscovered for many patients. Methods: To address this unmet clinical need we established Oncofocus, a clinically validated, ISO15189/2012 and CLIA accredited, precision oncology test optimized for analysis of small diagnostic PWET clinical biopsy samples (sample acceptance 94%). Oncofocus detects actionable genetic variants in 505 genes linked to 764 anti-cancer targeted therapy protocols, either on-market FDA and EMA approved, carrying ESMO and NCCN guideline references or currently in clinical trials. Oncofocus trending data was analyzed for a real-life cohort of 1111 patients with the aim of determining the frequency of actionable mutations in this population. This cohort represent patients with advanced stage disease who underwent Oncofocus testing having failed first line treatment protocols. Results: Analysis of trending data revealed a complex mutational landscape in which 90% of solid tumors harbored actionable mutations. The majority of patients harbored one or more actionable mutations (median 2, range 0-13) affecting key cancer related regulatory networks including the PI3K/AKT/MTOR and RAS/RAF/MEK/MAPK signaling pathways, DNA-damage repair pathways and cell cycle checkpoints. Actionable genetic variants across 33 DNA Damage and Repair (DDR) genes were identified in 30% of tumors. Using a defined predictive cut point of > 10% for tumor proportion score, PD-L1 expression levels were significantly raised in 19% of cases. Abrogation of DDR function and elevated PD-L1 levels were identified in 5% of patients, a subpopulation potentially more responsive to immunotherapy. Notably, many of the actionable mutations identified did not show linkage with histological type or site of origin. Conclusions: Our data indicates that comprehensive precision oncology testing should be strongly considered as part of the diagnostic work up for all patients with advanced cancers, independent of tumor type, thereby ensuring capture of all targeted therapy opportunities and accelerating “site agnostic” molecular basket clinical trials. Comprehensive precision oncology testing was performed successfully on routine biopsy samples circumventing the requirement for fresh tissue or large sample specimens.

Interobserver Reliability of Programmed Cell Death Ligand-1 Scoring Using the VENTANA PD-L1 (SP263) Assay in NSCLC

INTRODUCTION

The VENTANA PD-L1 (SP263) Assay is approved for use with anti-programmed cell death-1/programmed cell death ligand-1 (PD-1/PD-L1) therapies in NSCLC and urothelial carcinoma. Here, we investigate interobserver reliability of the SP263 assay, applied to PD-L1 scoring of tumor cells (TCs) in NSCLC.

METHODS

Six practicing European pulmonary pathologists independently scored the proportion of TCs expressing PD-L1 (TC score) from 200 archival, commercially sourced, formalin-fixed paraffin-embedded NSCLC resections stained using the SP263 assay. Agreement in scores was analyzed using the intraclass correlation coefficient and concordance in patient's classification using Fleiss' kappa.

RESULTS

Results from 172 samples showed strong pair-wise correlations between pathologists (R² >0.89) for TC scoring with an intraclass correlation coefficient of 0.96. Overall agreement was greater than 90% for TC of 1% and above, and greater than 94% for TCs of at least 25% and at least 50%. Fleiss' kappa showed substantial agreement for TC of 1% and above, and almost perfect agreement for TCs of at least 25% and at least 50%.

CONCLUSIONS

Assessment of TC score in NSCLC was highly reproducible using the SP263 assay, building confidence in the accuracy of this assay in selection of patients for anti-PD-1/PD-L1 therapy.

Immunophenotypic analysis of cell cycle status in acute myeloid leukaemia: relationship to cytogenetics, genotype and clinical outcome

Cell cycle status may play an important role in directing patient therapy. We therefore determined the cell cycle status of leukaemic cells by immunophenotypic analysis of bone marrow trephine biopsies from 181 patients with acute myeloid leukaemia (AML) and correlated the results with biological features and clinical outcome. There was considerable heterogeneity between patients. The presenting white cell count significantly correlated with the proportion of non-quiescent cells (P < 0·0001), of cycling cells beyond G₁ (P < 0·0001) and the speed of cycling (P < 0·0001). Profiles in acute promyelocytic leukaemia (APL) differed from non-APL and were consistent with more differentiated cells with reduced proliferative potential, but no significant differences were observed between non-APL cytogenetic risk groups. NPM1 mutations but not FLT3 internal tandem duplication (FLT3^ITD ) were significantly associated with a higher proportion of cells beyond G₁ (P = 0·002) and faster speed of cycling (P = 0·003). Resistance to standard cytosine arabinoside and daunorubicin induction chemotherapy was significantly related to a slower speed of cycling (P = 0·0002), as was a higher relapse rate (P = 0·05), but not with the proportion of non-quiescent cells or actively cycling cells. These results show a link between the cycling speed of AML cells and the response to chemotherapy, and help to identify a group with a very poor prognosis.

Cdc7 is a potent anti-cancer target in pancreatic cancer due to abrogation of the DNA origin activation checkpoint

Purpose

Cdc7 is a serine/threonine kinase which is responsible for the ‘firing’ of replication origins leading to initiation of DNA replication. Inhibition or depletion of Cdc7 in normal cells triggers a DNA origin activation checkpoint causing a reversible G1 arrest. Here we investigate Cdc7 as a novel therapeutic target in pancreatic cancer.

Experimental design

Cdc7 target validation was performed by immunoexpression profiling in a cohort of 73 patients with pancreatic adenocarcinoma including 24 controls. Secondly Cdc7 kinase was targeted in Capan-1 and PANC-1 pancreatic cancer cell line models using either an siRNA against Cdc7 or alternatively a small molecule inhibitor (SMI) of Cdc7 (PHA-767491).

Results

Cdc7 was significantly overexpressed in pancreatic adenocarcinoma compared to benign pancreatic tissue (median LI 34.3% vs. 1.3%; P<0.0001). Cdc7 knockdown using siRNA in Capan-1 and PANC-1 cells resulted in marked apoptotic cell death when compared with control cells. A prominent sub-G1 peak was seen on flow cytometry (sub-G1 51% vs. 3% and 45% vs. 0.7% in Capan-1 and PANC-1 cells, respectively). Annexin V labelling confirmed apoptosis in 64% vs. 11% and 75% vs. 8%, respectively. Western blotting showed cleavage of PARP-1 and caspase-3 and presence of γH2A.X. TUNEL assay showed strong staining in treated cells. These results were mirrored following Cdc7 kinase inhibition with PHA-767491.

Conclusions

Our findings show that Cdc7 is a potent anti-cancer target in pancreatic adenocarcinoma and that Cdc7 immunoexpression levels might be used as a companion diagnostic to predict response to therapeutic siRNAs or SMIs directed against this kinase.

Integration of next-generation sequencing in clinical diagnostic molecular pathology laboratories for analysis of solid tumours; an expert opinion on behalf of IQN Path ASBL

The clinical demand for mutation detection within multiple genes from a single tumour sample requires molecular diagnostic laboratories to develop rapid, high-throughput, highly sensitive, accurate and parallel testing within tight budget constraints. To meet this demand, many laboratories employ next-generation sequencing (NGS) based on small amplicons. Building on existing publications and general guidance for the clinical use of NGS and learnings from germline testing, the following guidelines establish consensus standards for somatic diagnostic testing, specifically for identifying and reporting mutations in solid tumours. These guidelines cover the testing strategy, implementation of testing within clinical service, sample requirements, data analysis and reporting of results. In conjunction with appropriate staff training and international standards for laboratory testing, these consensus standards for the use of NGS in molecular pathology of solid tumours will assist laboratories in implementing NGS in clinical services.

Do Cell-Cycle Phase-Specific Markers Predict Disease Grade, Stage, and Outcome in Cervical Carcinoma?

AIMS

Multiparameter analysis of cell cycle markers has shown a strong relationship between cell cycle progression and tumor grade, stage, and clinical outcome in penile, renal, ovarian, and breast cancers. We sought to link expression of cell cycle phase-specific markers in cervical cancer to tumor grade, stage, and clinical outcome to investigate their potential use as prognostic and predictive markers.

METHODS

Pretreatment biopsy material was obtained from 35 patients with cervical cancer (stage IB2-IVA) and 12 normal cervix control cases. Each patient was treated with neoadjuvant chemotherapy followed by chemoradiation. Immunohistochemical staining was performed using a panel of cell cycle phase markers: replication licensing factors: Mcm2 (minichromosome maintenance 2) and geminin, and the standard proliferation marker Ki67 (clone MIB-1).

RESULTS

The expression levels of each cell cycle biomarker were very high in all cases of squamous cell carcinoma of the cervix regardless of grade or stage of disease. In our cohort, all cases displayed an aggressive, so-called actively cycling phenotype. Univariate analysis showed that none of the cell cycle biomarkers predicted grade, stage, or clinical outcome.

CONCLUSIONS

Cell cycle phase-specific markers do not appear to predict disease grade, stage, or outcome in our sample of patients with cervical cancer. This is not surprising, given that the expression of each cell cycle biomarker was very high in all cases.Indeed, all the cases of squamous cell carcinoma of the cervix (n = 28) and all but 1 of the adenocarcinomas (n = 7) in this study displayed an aggressive "actively cycling" phenotype. This predominance of actively cycling tumors is unusual and may reflect the viral etiology underlying the disease. These preliminary findings raise many interesting questions including the prognostic value of disease grade and markers of proliferation in cervical tumors as reliable prognostic indicators. Further work on a larger cohort of patients is warranted.

Pregnancy-associated plasma protein A regulates mitosis and is epigenetically silenced in breast cancer

Aberrant mitosis is a common feature of cancer, yet little is known about the altered genes causing mitotic defects. We screened human tumours for cells with morphological signatures of highly specific mitotic defects previously assigned to candidate genes in a genome-wide RNA interference screen carried out in HeLa cells (www.mitocheck.org). We discovered a striking enrichment of early mitotic configurations indicative of prophase/prometaphase delay in breast cancer. Promoter methylation analysis of MitoCheck candidate genes assigned to the corresponding 'mitotic delay' class linked this defect to epigenetic silencing of the gene encoding pregnancy-associated plasma protein-A (PAPPA), a secreted protease. PAPPA silencing was highly prevalent in precursor lesions and invasive breast cancer. Experimental manipulation of PAPPA protein levels in human mammary epithelial cells and in breast cancer cell lines demonstrates that progression through early mitosis is dependent on PAPPA function, and that breast cancer cells become more invasive after down-regulation of this protease. PAPPA regulates mitotic progression through modulating the IGF-1 signalling pathway resulting in activation of the forkhead transcription factor FoxM1, which drives a transcriptional cluster of essential mitotic genes. Our results show that PAPPA has a critical function in normal cell division and is targeted early in breast cancer development.

Abstract P3-02-01: Pregnancy-associated plasma protein A regulates mitosis and is epigenetically silenced in breast cancer

Using Phosphohistone-H3, a marker of cells in mitosis, we identified mitotic delay in 95% of invasive breast cancers with a significant proportion of cells in prophase/prometaphase (58%). This delay was seen in breast cancer tissues only with other malignancies and normal tissues showing a normal mitotic phase distribution (23% of mitotic cells in prophase/prometaphase). We could detect a clear mitotic delay phenotype already in 80% (55 out of 69 evaluable patients) of precursor ductal carcinoma in situ (DCIS) lesions. This strong phenotype has been concealed for over a century because tinctorial stains routinely used in diagnostic practice do not allow cells in prophase or prometaphase to be distinguished from interphase cells.

Promoter methylation analysis of candidate genes linked this defect to epigenetic silencing of the gene encoding Pregnancy-Associated Plasma Protein-A (PAPPA), a secreted protease. PAPPA silencing was highly prevalent in precursor lesions and invasive breast cancer. Experimental manipulation of PAPPA protein levels in human mammary epithelial cells and in breast cancer cell lines demonstrates that progression through early mitosis is dependent on PAPPA function, and that breast cancer cells become more invasive after PAPPA down regulation. We discovered that PAPPA regulates mitotic progression through its known role in modulating the IGF-1 signalling pathway, resulting in activation of the forkhead transcription factor FoxM1 which drives a transcriptional cluster of essential mitotic genes.

Our results identify PAPPA as a candidate tumour suppressor in breast cancer. PAPPA loss is an early event in breast tumourigenesis increasing tumour cell invasiveness and may contribute to the transition from precursor lesions to invasive disease.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P3-02-01.

Abstract PD04-08: Cell cycle algorithm correlates with grade of DCIS and p53 status, allows elimination of ‘intermediate grade’ disease and gives clinically meanignful information

We have previously shown that multi-parameter analysis of the DNA replication initiation machinery (Mcm2-7, geminin) and mitotic proteins (Plk1, Aurora A, H3S10ph), expressed during various phases of the cell division cycle, provides a method to accurately assess the proliferative state of dynamic tumour cell populations. We have shown that this novel form of cell cycle biomarker analysis allows separation of breast cancers into three discrete cell cycle phenotypes of major prognostic significance including (i) an out-of-cycle state, (ii) a G1-delayed/arrested state and (iii) an actively cycling state. Importantly, we identified groups of patients with apparently good grade cancers on routine clinicopathological criteria but who nevertheless exhibited the poor prognostic actively cycling phenotype (iii) and might therefore benefit from adjuvant chemotherapy. Additionally, we identified patients with typically poor prognosis tumours but which were actually cycling slowly (phenotype i or ii) and therefore likely not to have benefited from chemotherapy. Notably, when this cell cycle algorithm was used in a multi-variate analysis, the effect of Ki-67 disappeared.

We have now applied the algorithm to 72 cases of DCIS (all of which were re-graded by one pathologist for consistency) and also to a TMA of 136 cases with known outcome from the UK DICS trial. There was excellent correlation between tumour grade and p53 status. The high grade DCIS was positively associated with a high cell cycle score (actively cycling phenotype iii; 28 out of 34 tumours) and low grade DCIS was associated with a low score (namely phenotypes i and ii; 13 out of 19). Interestingly, 7 of the 10 intermediate grade DCIS could be classified as phenotype, i or iii suggesting that the algorithm may be useful in stratifying this group of patients.

A clinical correlation between phenotype III and recurrence and/or progression to invasive disease was evident. Further analysis of this from data derived from the TMAs generated from the UK DCIS trial will be presented. If the early findings are confirmed we may be able to solve the dilemma of which cases of DCIS need treatment and which we currently overtreat.

Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD04-08.

Targeting DNA replication before it starts: Cdc7 as a therapeutic target in p53-mutant breast cancers

Treatment options for triple-receptor negative (ER-/PR-/Her2-) and Her2-overexpressing (ER-/PR-/Her2+) breast cancers with acquired or de novo resistance are limited, and metastatic disease remains incurable. Targeting of growth signaling networks is often constrained by pathway redundancy or growth-independent cancer cell cycles. The cell-cycle protein Cdc7 regulates S phase by promoting DNA replication. This essential kinase acts as a convergence point for upstream growth signaling pathways and is therefore an attractive therapeutic target. We show that increased Cdc7 expression during mammary tumorigenesis is linked to Her2-overexpressing and triple-negative subtypes, accelerated cell cycle progression (P < 0.001), arrested tumor differentiation (P < 0.001), genomic instability (P = 0.019), increasing NPI score (P < 0.001), and reduced disease-free survival (HR = 1.98 [95% CI: 1.27-3.10]; P = 0.003), thus implicating its deregulation in the development of aggressive disease. Targeting Cdc7 with RNAi, we demonstrate that p53-mutant Her2-overexpressing and triple-negative breast cancer cell lines undergo an abortive S phase and apoptotic cell death due to loss of a p53-dependent Cdc7-inhibition checkpoint. In contrast, untransformed breast epithelial cells arrest in G1, remain viable, and are able to resume cell proliferation on recovery of Cdc7 kinase activity. Thus, Cdc7 appears to represent a potent and highly specific anticancer target in Her2-overexpressing and triple-negative breast cancers. Emerging Cdc7 kinase inhibitors may therefore significantly broaden the therapeutic armamentarium for treatment of the aggressive p53-mutant breast cancer subtypes identified in this study.

Targeting DNA Replication before It Starts: Cdc7 as a Therapeutic Target in p53 Mutant Her2 and Triple Negative Breast Ca

Based on protein expression profiles of core regulatory proteins involved in the G1–S and G2–M phase transitions, we have identified three distinct cell cycle phenotypes in a series of 200 breast cancers: (I) a G0 “out-of-cycle” state (18% of cases); (II) a G1 arrested/delayed state (24% cases); and (III) accelerated S-G2-M phase progression (58% of cases). The accelerated cell cycle progression phenotype had a higher risk of relapse when compared with G0 and G1-delayed/arrested phenotypes (HR=3.90 (1.81-8.4, p&lt;0.001) and was associated with Her2 and triple negative subtypes (p&lt;0.001). High-grade tumours with the G1 delayed/arrested phenotype showed an identical low risk of relapse compared with well-differentiated G0 tumours. In addition to its prognostic significance, the cell cycle phenotype also impacts on individualised therapeutic decisions. It is only patients showing the actively cycling, aggressive cell cycle phenotype that are likely to benefit from conventional chemotherapeutic S- or M-phase-directed agents or from the new generation of targeted cell cycle inhibitors that are now entering clinical trials.The DNA replication initiation factor Cdc7 is an emerging anti-cancer target. Cdc7 inhibition results in an abortive S phase and potent cancer cell killing. Specificity is based on normal cells undergoing a reversible G1 arrest following Cdc7 inhibition due to activation of a novel cell cycle checkpoint that is lost or impaired in cancer cells. Our analysis of the molecular circuitry underlying this replication origin activation checkpoint reveals that G1 arrest is dependent on three non-redundant checkpoint axes coordinated through the Forkhead transcription factor FoxO3a and p53. We show that only breast cancers displaying the accelerated cell cycle phenotype express elevated Cdc7 levels and are therefore highly represented in p53 mutant Her2-subtype and triple negative tumours. Breast cancers of the luminal subtype expressing low levels of Cdc7 undergo a cytostatic G1 arrest after Cdc7 inhibition due to their p53 wild type status, a checkpoint response mimicking untransformed cells. In contrast Her2 and triple negative tumours show a marked response to Cdc7 inhibitors with potent cancer-cell-specific killing as a result of (i) overexpression of the target protein and (ii) impairment of the origin activation checkpoint due to p53 lesions. Thus integrating cancer cell cycle phenotypic data with a molecular analysis of the origin activation checkpoint serves as a predictor of response to pharmacological Cdc7 inhibitors.

Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 2148.

DNA replication licensing factors and aneuploidy are linked to tumor cell cycle state and clinical outcome in penile carcinoma

PURPOSE

The DNA replication licensing machinery is integral to the control of proliferation, differentiation, and maintenance of genomic stability in human cells. We have analyzed replication licensing factors (RLF), together with DNA ploidy status, to investigate their role in progression of penile squamous cell carcinoma and to assess their utility as novel prognostic tools.

EXPERIMENTAL DESIGN

In a cohort of 141 patients, we linked protein expression profiles of the standard proliferation marker Ki67 and the RLFs Mcm2 and geminin to clinicopathologic variables, ploidy status, and clinical outcome.

RESULTS

Increased Ki67, Mcm2, and geminin levels were each significantly associated with arrested tumor differentiation (P < 0.0001) and aneuploidy (P < or = 0.01). Accelerated cell cycle progression was linked to increasing tumor size, stage, and depth of invasion. Aneuploid tumors significantly correlated with tumor grade (P < 0.0001). Biomarker expression and DNA ploidy status were significant predictors of locoregional disease progression [Mcm2 (P = 0.02), geminin (P = 0.02), Ki67 (P = 0.03), and aneuploidy (P = 0.03)] in univariate analysis. Importantly, aneuploidy was a strong independent prognosticator for overall survival (hazard ratio, 4.19; 95% confidence interval, 1.17-14.95; P = 0.03). Used in conjunction with conventional pathologic information, multiparameter analysis of these variables can stratify patients into low- or high-risk groups for disease progression (Harrell's c-index = 0.88).

CONCLUSIONS

Our findings suggest that RLFs and tumor aneuploidy may be used as an adjunct to conventional prognostic indicators, identifying men at high risk of disease progression. Our results also identify the DNA replication initiation pathway as a potentially attractive therapeutic target in penile squamous cell carcinoma.

Cdc7 kinase is a predictor of survival and a novel therapeutic target in epithelial ovarian carcinoma

PURPOSE

There is a lack of prognostic and predictive biomarkers in epithelial ovarian carcinoma, and the targeting of oncogenic signaling pathways has had limited impact on patient survival in this highly heterogeneous disease. The origin licensing machinery, which renders chromosomes competent for DNA replication, acts as a convergence point for upstream signaling pathways. We tested the hypothesis that Cdc7 kinase, a core component of the licensing machinery, is predictive of clinical outcome and may constitute a novel therapeutic target in epithelial ovarian carcinoma.

EXPERIMENTAL DESIGN

A total of 143 cases of ovarian cancer and 5 cases of normal ovary were analyzed for Cdc7 protein expression dynamics and clinicopathologic features. To assess the therapeutic potential of Cdc7, expression was down-regulated by RNA interference in SKOV-3 and Caov-3 ovarian cancer cells.

RESULTS

Increased Cdc7 protein levels were significantly associated with arrested tumor differentiation (P = 0.004), advanced clinical stage (P = 0.01), genomic instability (P < 0.001), and accelerated cell cycle progression. Multivariate analysis shows that Cdc7 predicts disease-free survival independent of patient age, tumor grade and stage (hazard ratio, 2.03; confidence interval, 1.53-2.68; P < 0.001), with the hazard ratio for relapse increasing to 10.90 (confidence interval, 4.07-29.17) for the stages 3 to 4/upper Cdc7 tertile group relative to stages 1 to 2/lower Cdc7 tertile tumors. In SKOV-3 and Caov-3 cells, Cdc7 siRNA knockdown triggered high levels of apoptosis, whereas untransformed cells arrest in G(1) phase and remain viable.

CONCLUSIONS

Our findings show that Cdc7 kinase predicts survival and is a potent anticancer target in epithelial ovarian carcinoma, highlighting its potential as a predictor of susceptibility to small molecule kinase inhibitors currently in development.

Cell cycle phase progression analysis identifies unique replication phenotypes of major prognostic and predictive significance in cancer

Abstract #5066

BACKGROUND: The cell cycle machinery acts as an integration point for information transduced through complex and redundant upstream oncogenic signalling pathways. Multiparameter analysis of core regulatory proteins involved in G1-S and G2-M cell cycle phase transitions provides a powerful biomarker readout for assessment of the cell cycle state. We have applied this novel algorithm to breast cancer, investigating its cell cycle kinetics, and determining how this impacts on pathobiology and disease progression in-vivo.&#x2028; METHODS AND FINDINGS: Protein expression profiles of key constituents of the DNA replication licensing pathway (Mcm2, geminin) and mitotic machinery (Plk1, Aurora A, Aurora substrate Histone H3S10ph), mediators of G1-S and G2-M transition respectively, were generated for a cohort of 182 patients. Arrested differentiation and development of genomic instability was associated with increased engagement of cells into the cell division cycle (p&lt;0.0001). Three unique cell cycle phenotypes were identified; (I) well differentiated tumours composed predominantly of Mcm2 negative cells indicative of an out-of-cycle state (18% of cases), (II) high Mcm2 expressing tumours but with low geminin, Aurora A, Plk1 and H3S10ph levels (S-G2-M progression markers) indicative of a G1 delayed/arrested state (24% cases), (III) high expressing Mcm2 tumours, but also expressing high levels of the S-G2-M progression markers, indicative of accelerated cell cycle progression (58% of cases). The accelerated cell cycle phenotype had a significantly higher risk of relapse when compared with out-of-cycle and G1 delayed/arrested tumour phenotypes (HR=3.90 [1.81-8.40], p&lt;0.001). Notably high grade tumours with the G1 delayed/arrested phenotype showed an identical low risk of relapse to well differentiated out-of-cycle tumours (HR=1.00 [0.22-4.46], p=0.99), suggesting that many patients are receiving inappropriate S-G2-M phase directed adjuvant chemotherapy.&#x2028; CONCLUSIONS: This biomarker algorithm provides novel insights into the cell cycle state of dynamic tumour cell populations in-vivo, information that impacts on individualised therapeutic decisions. The cell cycle phenotype has a major influence on disease progression, identifying those patients at most risk of relapse. Importantly, it is only patients displaying an accelerated phenotype, tumours that show S-G2-M phase transit, that are likely to derive benefit from S and G2-M phase specific adjuvant chemotherapeutic agents and mechanistic drugs.

Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 5066.

Mitogenic growth signalling, DNA replication licensing, and survival are linked in prostate cancer

Activation of mitogen/extracellular-signal-regulated kinase kinase 5/extracellular signal-regulated kinase-5 (MEK5/ERK5) growth signalling is coupled to increased cell proliferation in prostate cancer (PCa). Dysregulation of the DNA replication licensing pathway, a critical step in growth control downstream of transduction signalling pathways, is associated with development of PCa. In this study we have investigated linkages between the MEK5/ERK5 pathway and DNA replication licensing during prostate carcinogenesis. The effects of increased MEK5/ERK5 signalling on the expression of replication licensing factors Mcm2 and geminin and the proliferation marker Ki67 were studied in an ecdysone-inducible system expressing a constitutively activated mutant of MEK5 in EcR293 cells and in stable ERK5 over-expressing PC3 clones. In parallel, expression of these biomarkers in PCa biopsy specimens (n=58) was studied and compared to clinicopathological parameters. In both in vitro systems induction of MEK5 expression resulted in increased levels of phosphorylated ERK5 and Mcm2, geminin and Ki67 proteins. In PCa specimens average Mcm2 expression was greater than Ki67 and geminin expression (median labelling index (LI) 36.7, 18.1, and 3.4% respectively), consistent with their differential expression according to growth status (P<0.0001). Mcm2, geminin and Ki67 expression were significantly associated with Gleason grade (P=0.0002, P=0.0003, P=0.004); however there was no link with T or M stage. There was a significant relationship between increasing ERK5 expression and increasing Mcm2 (P=0.003) and Ki67 (P=0.009) expression, with non-significant trends seen with increasing MEK5 expression. There were significant associations between Gleason grade and the number of cells traversing G1 phase (Ki67_LI-geminin_LI; (P=0.001)), with high ERK5 levels associated with both an increase in replication licensed but non-cycling cells (Mcm2_LI-Ki67_LI; (P=0.01)) and accelerated cell cycle progression (geminin_LI/Ki67_LI; (P= 0.005)), all indicative of a shift towards increasing proliferative potential. While Mcm2 and Ki67 were both prognostic factors on univariate analysis, only Mcm2 remained an independent prognostic marker on multivariate analysis. Taken together, our data show that induction of MEK5/ERK5 signalling is linked to activation of the DNA replication licensing pathway in PCa, and that the strong prognostic value of MCM proteins may result from their function as relay stations coupling growth regulatory pathways to genome duplication.

Novel markers of cell kinetics to evaluate progression from cirrhosis to hepatocellular carcinoma

BACKGROUND

We investigated cell cycle kinetics of nodular lesions in cirrhosis to differentiate hepatocellular carcinoma (HCC) from its precursor lesions.

METHODS

Twelve small HCC, 10 regenerative (RN), six large regenerative (LRN), and five dysplastic nodules (DN), identified in explant cirrhotic livers of five consecutive patients transplanted at Royal Free Hospital in 2002. Immunoperoxidase for MCM2, geminin and Ki67 was performed and the percentage of positive cells counted.

RESULTS

The proportion of cells expressing MCM2 was more than those expressing Ki67, which in turn was more than those expressing geminin (overall median=16%, 2% and 0.5%, respectively, P<0.001). There was a statistically significant trend of increasing Ki67 expression (P=0.006), from RN to HCC; this trend was not statistically significant for geminin (P=0.18) or MCM2 (P=0.51). The median percentage of cells expressing Ki67 was 1% in RN, 0.5% in LRN, 2.2% in DN and 5.4% in HCC. The combination of these markers identified four different cell kinetics patterns: 'resting' (G0 cells: MCM2 -ve, Ki67 -ve, geminin -ve); 'licensed' (MCM2 +ve, Ki67 -ve, geminin -ve); 'slowly growing' (G1 phase arrest, MCM2 +ve, Ki67 +ve, low (0.4%) geminin) and expanding (MCM2 +ve, Ki67 +ve, geminin +ve) nodules.

CONCLUSIONS

The combination of MCM2, geminin and Ki67 could represent a valuable tool in the understanding of HCC progression in cirrhosis.

DNA replication licensing and cell cycle kinetics of normal and neoplastic breast

Mcm2–7 (MCM) proteins are part of the origin licensing machinery that regulates initiation of DNA replication. Geminin is a licensing repressor and prevents reinitiation of DNA replication during S–G2–M phase by blocking reloading of Mcm2–7 at replication origins. Here, we have analysed these replication licensing factors (RLFs) to determine whether the pathway becomes deregulated during mammary carcinogenesis, and have assessed their potential value as prognostic markers. Protein expression profiles were generated for Ki67, Mcm2, geminin, HER-2, ER and PR in a series of reduction mammoplasty (n=18) and breast cancer specimens (n=120), and compared to clinicopathological parameters. A large proportion of epithelial cells of the terminal duct lobular unit reside in a primed ‘replication licensed’ but not proliferating state. This state is characterised by Mcm2 expression and absence of Ki67 and the S/G2/M marker geminin. In breast cancers, increasing tumour grade is associated with increased Ki67, Mcm2 and geminin expression. The Mcm2/Ki67 ratio decreases through the grades, indicating a shift from a predominantly licensed state to an actively proliferating state. This shift is associated with an increase in the geminin/Ki67 ratio, signifying a shortening of G1 phase in breast cancer cells. Ki67, Mcm2 and the Mcm2/Ki67 ratio are statistically significantly associated with the Nottingham Prognostic Index (NPI), but geminin and the geminin/Ki67 ratio are not. Ki67, Mcm2 and Mcm2/Ki67 are highly correlated with one another, with Mcm2 being the single most important predictor of NPI score (P<0.001). However, only 12% of variation in NPI is explained by Mcm2, as the labelling index for this marker is approaching 100% for many of the high-grade tumours. The origin licensing phenotypes of normal breast and breast cancers therefore relate to their cellular differentiation status, and high-level MCM expression in more poorly differentiated tumours severely constrains their use as prognostic markers in breast cancer.

Repression of DNA replication licensing in quiescence is independent of geminin and may define the cell cycle state of progenitor cells

The DNA replication (or origin) licensing machinery ensures precise duplication of the genome and contributes to the regulation of proliferative capacity in metazoa. Using an in vitro fibroblast model system coupled to a cell-free DNA replication assay, we have studied regulation of the origin licensing pathway during exit from and re-entry into the mitotic cell cycle. We show that in the quiescent state (G0) loss of proliferative capacity is achieved in part through down-regulation of the replication licensing factors Cdc6 and Mcm2-7. The origin licensing repressor geminin is absent in quiescent fibroblasts, suggesting that this powerful inhibitor of the licensing machinery is not required to suppress proliferative capacity in G0. Geminin expression is induced at a late stage in the G0-S transition post pre-RC assembly. Ectopic geminin can block re-acquisition of DNA replication competence during re-entry into the cell cycle, indicating that geminin levels must be tightly down-regulated for escape from G0. Analysis of geminin levels in thyroid shows that geminin expression is suppressed in anatomical compartments/tissues harbouring quiescent cells, confirming our in vitro data. Spatio-temporal control of geminin expression may therefore be of particular relevance for multi-potential stem cells which cycle infrequently. In support of this hypothesis, we have identified a unique population of cells in the putative stem cell niche of intestinal epithelium that are unlicensed and lack geminin expression, a prerequisite for successful re-entry into cycle. Our data argue that the prolonged cell cycle times observed for intestinal stem cells could be due to exit of progenitor cells from cycle into an unlicensed "out-of-cycle" state, a powerful mechanism by which rapidly proliferating tissues may resist genotoxic insult.

Mcm2, Geminin, and KI67 define proliferative state and are prognostic markers in renal cell carcinoma

PURPOSE

The origin licensing factors minichromosome maintenance 2 (Mcm2) and Geminin have recently been identified as critical regulators of growth and differentiation. Here we have investigated the regulation of these licensing factors together with Ki67 to further elucidate the cell cycle kinetics of renal cell carcinoma (RCC). Furthermore, we have examined the role of Ki67, Mcm2, and Geminin in disease-free survival after nephrectomy in patients with localized RCC.

EXPERIMENTAL DESIGN

Tissue sections from 176 radical nephrectomy specimens were immunohistochemically stained with Mcm2, Geminin, and Ki67 antibodies. Labeling indices (LI) for these markers were compared with clinicopathologic parameters (median follow-up 44 months).

RESULTS

In RCC, Mcm2 is expressed at much higher levels than Ki-67 and Geminin, respectively [medians 41.6%, 7.3%, and 3.5% (P < 0.001)] and was most closely linked to tumor grade (P < 0.001). For each marker, Kaplan-Meier survival curves provided strong evidence that increased expression is associated with reduced disease-free survival time (P < 0.001). Additionally, an Mcm2-Ki67 LI identified a unique licensed but nonproliferating population of tumor cells that increased significantly with tumor grade (P = 0.004) and was also of prognostic value (P = 0.01). On multivariate analysis, grade, vascular invasion, capsular invasion, Ki67 LI >12%, and age were found to be independent prognostic markers.

CONCLUSIONS

Although Ki67 is identified as an independent prognostic marker, semiquantitative assessment is difficult due to the very low proliferative fraction identified by this marker. In contrast, Mcm2 identifies an increased growth fraction that is closely linked to grade, provides prognostic information, and is amenable to semiquantitative analysis in routine pathologic assessment.

DNA replication licensing in peripheral B-cell lymphoma

Peripheral B-cell lymphomas representing 90% of lymphoid neoplasms are divided into low- and high-growth fraction lymphomas. Here we investigate regulation of DNA replication licensing during B-cell lymphomagenesis. Combined analysis of origin licensing factors Mcm2 and geminin with the proliferation marker Ki67 in SLL/CLL, MCL, DLBCL and Burkitt lymphoma reveals for the first time the precise cell cycle state of these entities. Given that tight Mcm2 downregulation defines the quiescent state (G0) and that both high- and low-growth fraction lymphomas express Mcm2, the data demonstrate that neoplastic lymphocytes of SLL/CLL and MCL reside in an "in-cycle" G1 state and not in G0 as previously thought. Absence of the S/G2/M phase marker geminin in SLL/CLL and MCL further indicates failure of cell cycle progression in these tumours. In contrast, the high-growth fraction lymphomas DLBCL and Burkitt lymphoma exhibit differential expression of geminin, with the geminin/Ki67 ratio increasing for more aggressive neoplasms in keeping with a shortened G1 phase and thus representing an important discriminator for differential diagnosis. These data provide new insights into abrogation of cell cycle control during B cell lymphomagenesis and suggest that combined analysis of origin licensing factors may contribute to improved treatment decisions and prognosis in haematopoietic malignancies.

DNA replication licensing in somatic and germ cells

The DNA replication (or origin) licensing system ensures precise duplication of the genome in each cell cycle and is a powerful regulator of cell proliferation in metazoa. Studies in yeast, Drosophila melanogaster and Xenopus laevis have characterised the molecular machinery that constitutes the licensing system, but it remains to be determined how this important evolutionary conserved pathway is regulated in Homo sapiens. We have investigated regulation of the origin licensing factors Cdc6, Cdt1, Mcm2 and Geminin in human somatic and germ cells. Cdc6 and Cdt1 play an essential role in DNA replication initiation by loading the Mcm2-7 complex, which is required for unwinding the DNA helix, onto chromosomal origins. Geminin is a repressor of origin licensing that blocks Mcm2-7 loading onto origins. Our studies demonstrate that Cdc6, Cdt1 and Mcm2 play a central role in coordinating growth during the proliferation-differentiation switch in somatic self-renewing systems and that Cdc6 expression is rate-limiting for acquisition of replication competence in primary oocytes. In striking contrast, we show that proliferation control during male gametogenesis is not linked to Cdc6 or Mcm2, but appears to be coordinated by the negative regulator Geminin with Cdt1 becoming rate-limiting in late prophase. Our data demonstrate a striking sexual dimorphism in the mechanisms repressing origin licensing and preventing untimely DNA synthesis during meiosis I, implicating a pivotal role for Geminin in maintaining integrity of the male germline genome.

The HLA-DPB1--associated component of the IDDM1 and its relationship to the major loci HLA-DQB1, -DQA1, and -DRB1

The major histocompatibility complex (MHC) HLA region on chromosome 6p21 contains the major locus of type 1 diabetes (IDDM1). Common allelic variants at the class II HLA-DRB1, -DQA1, and -DQB1 loci account for the major part of IDDM1. Previous studies suggested that other MHC loci are likely to contribute to IDDM1, but determination of their relative contributions and identities is difficult because of strong linkage disequilibrium between MHC loci. One prime candidate is the polymorphic HLA-DPB1 locus, which (with the DPA1 locus) encodes the third class II antigen-presenting molecule. However, the results obtained in previous studies appear to be contradictory. Therefore, we have analyzed 408 white European families (200 from Sardinia and 208 from the U.K.) using a combination of association tests designed to directly compare the effect of DPB1 variation on the relative predisposition of DR-DQ haplotypes, taking into account linkage disequilibrium between DPB1 and the DRB1, DQA1, and DQB1 loci. In these populations, the overall contribution of DPB1 to IDDM1 is small. The main component of the DPB1 contribution to IDDM1 in these populations appears to be the protection associated with DPB1*0402 on DR4-negative haplotypes. We suggest that the HLA-DP molecule itself contributes to IDDM1.

Conditional linkage disequilibrium analysis of a complex disease superlocus, IDDM1 in the HLA region, reveals the presence of independent modifying gene effects influencing the type 1 diabetes risk encoded by the major HLA-DQB1, -DRB1 disease loci

Type 1 diabetes mellitus is a common disease with a complex mode of inheritance. Its aetiology is underpinned by a major locus, insulin-dependent diabetes mellitus 1 (IDDM1) in the human leukocyte antigen (HLA) region of chromosome 6p21, and an unknown number of loci of lesser individual effect. In linkage analyses IDDM1 is a single peak, but it is evident that the linkage is caused by allelic variation of three adjacent genes in a 75 kb region, namely the class II genes, HLA-DRB1, -DQA1 and -DQB1. However, even these three genes may not explain all of the HLA association. We investigated, in the founder population of Sardinia, whether non-DQ/DR polymorphic markers within a 9.452 Mb region encompassing the whole HLA complex further influence the disease risk, after taking into account linkage disequilibrium with the disease loci HLA-DQB1, -DQA1 and -DRB1. We generalized the conditional association test, the haplotype method, to detect marker associations that are independent of the main DR/DQ disease associations. Three regions were identified as risk modifiers. These associations were not only independent of the polymorphic exon 2 sequences of HLA-DQB1, -DQA1 and -DRB1, but also independent of each other. The individual contributions of these risk modifiers were relatively modest but their combined impact was highly significant. Together, alleles of single nucleotide polymorphisms at the DMB and DOB genes, and the microsatellite locus TNFc, identified approximately 40% of Sardinian DR3 haplotypes as non-predisposing. This conditional analysis approach can be applied to any chromosome region involved in the predisposition to complex traits.

The inter-regional distribution of HLA class II haplotypes indicates the suitability of the Sardinian population for case-control association studies in complex diseases

We have analysed HLA class II gene-based substructure of the Sardinian population in order to evaluate the possible influence of this parameter in the mapping of common disease loci using association methods. We first examined the distribution of the HLA-DRB1-DQA1-DQB1 haplotypes in 631 newborns from seven different regions of the island, and found that the most frequent haplotypes were uniformly distributed in all regions, but at frequencies unique to Sardinia. Other haplotypes, common in other white European populations, are consistently rare or absent across the whole island. Analysis of molecular variance (AMOVA) showed a very low degree of genetic differentiation between the coastal regions, which have suffered repeated invasions over many years, and the most internal and isolated part of the island. This suggests that there has been little genetic flow from the various populations that have invaded the island during the last 3000 years and that Sardinia is a relatively homogeneous population. The validity of these unrelated control HLA haplotype frequencies and our claim of homogeneity were established by demonstrating the near identity of the affected family-based control (AFBAC) HLA haplotype frequencies in 243 type 1 diabetes and 495 multiple sclerosis families from Sardinia and those of the unrelated controls. These results indicate that robust case-control studies can be carried out in Sardinia offering cost efficiency over certain family-based designs.

Confirmation of the DRB1-DQB1 loci as the major component of IDDM1 in the isolated founder population of Sardinia

There is considerable uncertainty and debate concerning the application of linkage disequilibrium (LD) mapping in common multifactorial diseases, including the choice of population and the density of the marker map. Previously, it has been shown that, in the large cosmopolitan population of the UK, the established type 1 diabetes IDDM1 locus in the HLA region could be mapped with high resolution by LD. The LD curve peaked at marker D6S2444, 85 kb from the HLA class II gene DQB1, which is known to be a major determinant of IDDM1. However, given the many unknown parameters underlying LD, a validation of the approach in a genetically distinct population is necessary. In the present report we have achieved this by the LD mapping of IDDM1 in the isolated founder population of Sardinia. Using a dense map of microsatellite markers, we determined the peak of LD to be located at marker D6S2447, which is only 6.5 kb from DQB1. Next, we typed a large number of SNPs defining allelic variation at functional candidate genes within the critical region. The association curve, with both classes of marker, peaked at the loci DRB1-DQB1. These results, while representing conclusive evidence that the class II loci DRB1-DQB1 dominate the association of the HLA region to type 1 diabetes, provide empirical support for LD mapping.

Major factors influencing linkage disequilibrium by analysis of different chromosome regions in distinct populations: demography, chromosome recombination frequency and selection

Linkage disequilibrium (LD) mapping of disease genes is complicated by population- and chromosome-region-specific factors. We have analysed demographic factors by contrasting intermarker LD results obtained in a large cosmopolitan population (UK), a large genetic isolate (Sardinia) and a subisolate (village of Gavoi) for two regions of the X chromosome. A dramatic increase of LD was found in the subisolate. Demographic history of populations therefore influences LD. Chromosome-region-specific effects, namely the pattern and frequency of homologous recombination, were next delineated by the analysis of chromosome 6p21, including the HLA region. Patterns of global LD in this region were very similar in the UK and Sardinian populations despite their entirely distinct demographies, and correlate well with the pattern of recombinations. Nevertheless, haplotypes extend across recombination hot spots indicative of selection of certain haplotypes. Subisolate aside, chromosome-region-specific differences in LD patterns appear to be more important than the differences in intermarker LD between distinct populations.

Conditional ETDT analysis of the human leukocyte antigen region in type 1 diabetes

Several studies have indicated that additional genes in the major histocompatibility complex (MHC) region, other than the class II genes HLA-DQB1 and -DRB1 (the IDDM1 locus), may contribute to susceptibility and resistance to type 1 diabetes. The relative magnitude of these non- DR/DQ effects is uncertain and their map location is unknown owing to the extraordinary linkage disequilibrium that extends over the 3.5 Mb of the MHC. The homozygous parent test has been proposed as a method for detection of additional risk factors conditional on HLA-DQB1 and -DRB1. However, this method is inefficient since it uses only parents homozygous for the primary disease locus, the DQB1-DRB1 haplotype. To overcome this limitation, Conditional ETDT was used in the present report to test for association conditional on the DQB1-DRB1 haplotype, thereby allowing all parents to be included in the analysis. First, we confirm in UK and Sardinian type 1 diabetic families that allelic variation at HLA-DRB1 has a very significant effect on the association of DQB1 and vice versa. The Conditional ETDT was then applied to the HLA TNF (tumour necrosis factor) region and microsatellite marker D6S273 region, both of which have been reported to contribute to IDDM1 independent of the HLA-DQB1-DRB1 genes. We found no evidence for a major role for either of these two regions in IDDM1.