1
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Weberpals JI, Pugh TJ, Marco-Casanova P, Goss GD, Andrews Wright N, Rath P, Torchia J, Fortuna A, Jones GN, Roudier MP, Bernard L, Lo B, Torti D, Leon A, Marsh K, Hodgson D, Duciaume M, Howat WJ, Lukashchuk N, Lazic SE, Whelan D, Sekhon HS. Tumor genomic, transcriptomic, and immune profiling characterizes differential response to first-line platinum chemotherapy in high grade serous ovarian cancer. Cancer Med 2021; 10:3045-3058. [PMID: 33811746 PMCID: PMC8085970 DOI: 10.1002/cam4.3831] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 02/09/2021] [Indexed: 01/01/2023] Open
Abstract
Background In high grade serous ovarian cancer (HGSOC), there is a spectrum of sensitivity to first line platinum‐based chemotherapy. This study molecularly characterizes HGSOC patients from two distinct groups of chemotherapy responders (good vs. poor). Methods Following primary debulking surgery and intravenous carboplatin/paclitaxel, women with stage III–IV HGSOC were grouped by response. Patients in the good response (GR) and poor response (PR) groups respectively had a progression‐free intervals (PFI) of ≥12 and ≤6 months. Analysis of surgical specimens interrogated genomic and immunologic features using whole exome sequencing. RNA‐sequencing detected gene expression outliers and inference of immune infiltrate, with validation by targeted NanoString arrays. PD‐L1 expression was scored by immunohistochemistry (IHC). Results A total of 39 patient samples were analyzed (GR = 20; PR = 19). Median PFI for GR and PR patient cohorts was 32 and 3 months, respectively. GR tumors were enriched for loss‐of‐function BRCA2 mutations and had a significantly higher nonsynonymous mutation rate compared to PR tumors (p = 0.001). Samples from the PR cohort were characterized by mutations in MGA and RAD51B and trended towards a greater rate of amplification of PIK3CA, MECOM, and ATR in comparison to GR tumors. Gene expression analysis by NanoString correlated increased PARP4 with PR and increased PD‐L1 and EMSY with GR. There was greater tumor immune cell infiltration and higher immune cell PD‐L1 protein expression in the GR group. Conclusions Our research demonstrates that tumors from HGSOC patients responding poorly to first line chemotherapy have a distinct molecular profile characterized by actionable drug targets including PARP4.
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Affiliation(s)
- Johanne I Weberpals
- Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, ON, Canada.,Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Trevor J Pugh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Ontario Institute for Cancer Research, Toronto, ON, Canada
| | | | - Glenwood D Goss
- Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Department of Medicine, Division of Medical Oncology, University of Ottawa, Ottawa, ON, Canada
| | | | - Prisni Rath
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | | | | | - Gemma N Jones
- Translational Medicine, R&D Oncology, AstraZeneca, Cambridge, UK
| | | | - Laurence Bernard
- Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, ON, Canada.,Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Bryan Lo
- Department of Pathology and Laboratory Medicine, The Ottawa Hospital, Ottawa, ON, Canada
| | - Dax Torti
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Alberto Leon
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Kayla Marsh
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Darren Hodgson
- Translational Medicine, R&D Oncology, AstraZeneca, Cambridge, UK
| | - Marc Duciaume
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - William J Howat
- Translational Medicine, R&D Oncology, AstraZeneca, Cambridge, UK
| | | | - Stanley E Lazic
- Quantitative Biology, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| | - Doreen Whelan
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Harmanjatinder S Sekhon
- Department of Pathology and Laboratory Medicine, The Ottawa Hospital, Ottawa, ON, Canada.,Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, ON, Canada
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2
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Joseph J, Roudier MP, Narayanan PL, Augulis R, Ros VR, Pritchard A, Gerrard J, Laurinavicius A, Harrington EA, Barrett JC, Howat WJ. Proliferation Tumour Marker Network (PTM-NET) for the identification of tumour region in Ki67 stained breast cancer whole slide images. Sci Rep 2019; 9:12845. [PMID: 31492872 PMCID: PMC6731323 DOI: 10.1038/s41598-019-49139-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 08/16/2019] [Indexed: 12/20/2022] Open
Abstract
Uncontrolled proliferation is a hallmark of cancer and can be assessed by labelling breast tissue using immunohistochemistry for Ki67, a protein associated with cell proliferation. Accurate measurement of Ki67-positive tumour nuclei is of critical importance, but requires annotation of the tumour regions by a pathologist. This manual annotation process is highly subjective, time-consuming and subject to inter- and intra-annotator experience. To address this challenge, we have developed Proliferation Tumour Marker Network (PTM-NET), a deep learning model that objectively annotates the tumour regions in Ki67-labelled breast cancer digital pathology images using a convolution neural network. Our custom designed deep learning model was trained on 45 immunohistochemical Ki67-labelled whole slide images to classify tumour and non-tumour regions and was validated on 45 whole slide images from two different sources that were stained using different protocols. Our results show a Dice coefficient of 0.74, positive predictive value of 70% and negative predictive value of 88.3% against the manual ground truth annotation for the combined dataset. There were minimal differences between the images from different sources and the model was further tested in oestrogen receptor and progesterone receptor-labelled images. Finally, using an extension of the model, we could identify possible hotspot regions of high proliferation within the tumour. In the future, this approach could be useful in identifying tumour regions in biopsy samples and tissue microarray images.
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Affiliation(s)
- Jesuchristopher Joseph
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom.
| | - Martine P Roudier
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom
| | - Priya Lakshmi Narayanan
- Centre for Evolution and Cancer, Division of Molecular Pathology, Institute of Cancer Research London, London, United Kingdom
| | - Renaldas Augulis
- Vilnius University, Faculty of Medicine and the National Centre of Pathology, affiliate of Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania
| | - Vidalba Rocher Ros
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom
| | - Alison Pritchard
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom
| | - Joe Gerrard
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom
| | - Arvydas Laurinavicius
- Vilnius University, Faculty of Medicine and the National Centre of Pathology, affiliate of Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania
| | - Elizabeth A Harrington
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom
| | - J Carl Barrett
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom
| | - William J Howat
- Molecular Pathology Group, Translational Science, AstraZeneca, Cambridge, United Kingdom
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3
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Roudier MP, Rocher Ros V, Hirst C, Nikolaou M, Jones GN, Willis SE, Howat WJ, Barrett JC, Harrington E. Successes and challenges faced by tissue collection during trials by oncology translational sciences. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.2538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Martine P Roudier
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Vidalba Rocher Ros
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Caroline Hirst
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Myria Nikolaou
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Gemma N Jones
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Sophie E Willis
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - William J Howat
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - J Carl Barrett
- Translational Science, Oncology, IMED Biotech Unit, AstraZeneca, Waltham, MA
| | - Elizabeth Harrington
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
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4
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Weberpals JI, Pugh T, Goss GD, Lo B, Andrews Wright N, Bernard L, Torti D, Torchia J, Rath P, Leon A, Marsh K, Hodgson DR, Jones GN, Duciaume M, Howat WJ, Marco-Casanova P, Roudier MP, Whelan D, Sekhon HS. Tumor molecular profiling to differentiate extreme responses to first-line platinum-based chemotherapy in suboptimally debulked serous ovarian cancer patients. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.5561] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | - Trevor Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | - Bryan Lo
- The Ottawa Hospital, Ottawa, ON, Canada
| | | | | | - Dax Torti
- PM-OICR TGL, Ontario Institute for Cancer Research (OICR), Toronto, ON, Canada
| | - Jonathon Torchia
- PM-OICR TGL, Ontario Institute for Cancer Research (OICR), Toronto, ON, Canada
| | - Prisni Rath
- Ontario Institute of Cancer Research, Toronto, ON, Canada
| | - Alberto Leon
- Ontario Institute of Cancer Research, Toronto, ON, Canada
| | - Kayla Marsh
- Ontario Institute of Cancer Research, Toronto, ON, Canada
| | | | - Gemma N Jones
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Marc Duciaume
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - William J Howat
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | | | - Martine P Roudier
- Oncology Translational Science, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Doreen Whelan
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
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5
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Cruz C, Castroviejo-Bermejo M, Gutiérrez-Enríquez S, Llop-Guevara A, Ibrahim YH, Gris-Oliver A, Bonache S, Morancho B, Bruna A, Rueda OM, Lai Z, Polanska UM, Jones GN, Kristel P, de Bustos L, Guzman M, Rodríguez O, Grueso J, Montalban G, Caratú G, Mancuso F, Fasani R, Jiménez J, Howat WJ, Dougherty B, Vivancos A, Nuciforo P, Serres-Créixams X, Rubio IT, Oaknin A, Cadogan E, Barrett JC, Caldas C, Baselga J, Saura C, Cortés J, Arribas J, Jonkers J, Díez O, O'Connor MJ, Balmaña J, Serra V. RAD51 foci as a functional biomarker of homologous recombination repair and PARP inhibitor resistance in germline BRCA-mutated breast cancer. Ann Oncol 2018; 29:1203-1210. [PMID: 29635390 PMCID: PMC5961353 DOI: 10.1093/annonc/mdy099] [Citation(s) in RCA: 255] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background BRCA1 and BRCA2 (BRCA1/2)-deficient tumors display impaired homologous recombination repair (HRR) and enhanced sensitivity to DNA damaging agents or to poly(ADP-ribose) polymerase (PARP) inhibitors (PARPi). Their efficacy in germline BRCA1/2 (gBRCA1/2)-mutated metastatic breast cancers has been recently confirmed in clinical trials. Numerous mechanisms of PARPi resistance have been described, whose clinical relevance in gBRCA-mutated breast cancer is unknown. This highlights the need to identify functional biomarkers to better predict PARPi sensitivity. Patients and methods We investigated the in vivo mechanisms of PARPi resistance in gBRCA1 patient-derived tumor xenografts (PDXs) exhibiting differential response to PARPi. Analysis included exome sequencing and immunostaining of DNA damage response proteins to functionally evaluate HRR. Findings were validated in a retrospective sample set from gBRCA1/2-cancer patients treated with PARPi. Results RAD51 nuclear foci, a surrogate marker of HRR functionality, were the only common feature in PDX and patient samples with primary or acquired PARPi resistance. Consistently, low RAD51 was associated with objective response to PARPi. Evaluation of the RAD51 biomarker in untreated tumors was feasible due to endogenous DNA damage. In PARPi-resistant gBRCA1 PDXs, genetic analysis found no in-frame secondary mutations, but BRCA1 hypomorphic proteins in 60% of the models, TP53BP1-loss in 20% and RAD51-amplification in one sample, none mutually exclusive. Conversely, one of three PARPi-resistant gBRCA2 tumors displayed BRCA2 restoration by exome sequencing. In PDXs, PARPi resistance could be reverted upon combination of a PARPi with an ataxia-telangiectasia mutated (ATM) inhibitor. Conclusion Detection of RAD51 foci in gBRCA tumors correlates with PARPi resistance regardless of the underlying mechanism restoring HRR function. This is a promising biomarker to be used in the clinic to better select patients for PARPi therapy. Our study also supports the clinical development of PARPi combinations such as those with ATM inhibitors.
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Affiliation(s)
- C Cruz
- Experimental Therapeutics Group; High Risk and Familial Cancer, Vall d'Hebron Institute of Oncology, Barcelona; Department of Medical Oncology, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona
| | | | | | | | | | | | | | - B Morancho
- Growth Factors Laboratory, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - A Bruna
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge
| | - O M Rueda
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge
| | - Z Lai
- AstraZeneca, Gatehouse Park, Waltham, USA
| | - U M Polanska
- DNA Damage Response Biology Area, Oncology iMed, AstraZeneca, Cancer Research UK Cambridge Institute, Cambridge, UK
| | - G N Jones
- DNA Damage Response Biology Area, Oncology iMed, AstraZeneca, Cancer Research UK Cambridge Institute, Cambridge, UK
| | - P Kristel
- Division of Molecular Pathology and Cancer Genomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | | | | | | | | | | | | | - R Fasani
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona
| | - J Jiménez
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona
| | - W J Howat
- DNA Damage Response Biology Area, Oncology iMed, AstraZeneca, Cancer Research UK Cambridge Institute, Cambridge, UK
| | | | | | - P Nuciforo
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona
| | | | - I T Rubio
- Breast Surgical Unit, Breast Cancer Center, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona
| | - A Oaknin
- Department of Medical Oncology, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona; Gynecological Malignancies Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - E Cadogan
- DNA Damage Response Biology Area, Oncology iMed, AstraZeneca, Cancer Research UK Cambridge Institute, Cambridge, UK
| | | | - C Caldas
- Department of Oncology and Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cambridge Breast Unit, NIHR Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre at Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - J Baselga
- Human Oncology and Pathogenesis Program (HOPP); Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - C Saura
- Department of Medical Oncology, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona; Breast Cancer and Melanoma Group, Vall d'Hebron Institute of Oncology, Barcelona
| | - J Cortés
- Ramón y Cajal University Hospital, Madrid; Vall d'Hebron Institute of Oncology, Barcelona
| | - J Arribas
- Growth Factors Laboratory, Vall d'Hebron Institute of Oncology, Barcelona, Spain; Department of Biochemistry and Molecular Biology, Building M, Campus UAB, Bellaterra (Cerdanyola del Vallès); Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona; CIBERONC, Barcelona
| | | | - O Díez
- Oncogenetics Group; Clinical and Molecular Genetics Area, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - M J O'Connor
- DNA Damage Response Biology Area, Oncology Innovative Medicine and Early Development Biotech Unit, AstraZeneca, Cambridge, UK
| | - J Balmaña
- High Risk and Familial Cancer, Vall d'Hebron Institute of Oncology, Barcelona; Department of Medical Oncology, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona
| | - V Serra
- Experimental Therapeutics Group; CIBERONC, Barcelona.
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6
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Camacho N, Van Loo P, Edwards S, Kay JD, Matthews L, Haase K, Clark J, Dennis N, Thomas S, Kremeyer B, Zamora J, Butler AP, Gundem G, Merson S, Luxton H, Hawkins S, Ghori M, Marsden L, Lambert A, Karaszi K, Pelvender G, Massie CE, Kote-Jarai Z, Raine K, Jones D, Howat WJ, Hazell S, Livni N, Fisher C, Ogden C, Kumar P, Thompson A, Nicol D, Mayer E, Dudderidge T, Yu Y, Zhang H, Shah NC, Gnanapragasam VJ, Isaacs W, Visakorpi T, Hamdy F, Berney D, Verrill C, Warren AY, Wedge DC, Lynch AG, Foster CS, Lu YJ, Bova GS, Whitaker HC, McDermott U, Neal DE, Eeles R, Cooper CS, Brewer DS. Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data. PLoS Genet 2017; 13:e1007001. [PMID: 28945760 PMCID: PMC5628936 DOI: 10.1371/journal.pgen.1007001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 10/05/2017] [Accepted: 08/28/2017] [Indexed: 12/13/2022] Open
Abstract
A variety of models have been proposed to explain regions of recurrent somatic copy number alteration (SCNA) in human cancer. Our study employs Whole Genome DNA Sequence (WGS) data from tumor samples (n = 103) to comprehensively assess the role of the Knudson two hit genetic model in SCNA generation in prostate cancer. 64 recurrent regions of loss and gain were detected, of which 28 were novel, including regions of loss with more than 15% frequency at Chr4p15.2-p15.1 (15.53%), Chr6q27 (16.50%) and Chr18q12.3 (17.48%). Comprehensive mutation screens of genes, lincRNA encoding sequences, control regions and conserved domains within SCNAs demonstrated that a two-hit genetic model was supported in only a minor proportion of recurrent SCNA losses examined (15/40). We found that recurrent breakpoints and regions of inversion often occur within Knudson model SCNAs, leading to the identification of ZNF292 as a target gene for the deletion at 6q14.3-q15 and NKX3.1 as a two-hit target at 8p21.3-p21.2. The importance of alterations of lincRNA sequences was illustrated by the identification of a novel mutational hotspot at the KCCAT42, FENDRR, CAT1886 and STCAT2 loci at the 16q23.1-q24.3 loss. Our data confirm that the burden of SCNAs is predictive of biochemical recurrence, define nine individual regions that are associated with relapse, and highlight the possible importance of ion channel and G-protein coupled-receptor (GPCR) pathways in cancer development. We concluded that a two-hit genetic model accounts for about one third of SCNA indicating that mechanisms, such haploinsufficiency and epigenetic inactivation, account for the remaining SCNA losses.
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Affiliation(s)
- Niedzica Camacho
- Division of Genetics and Epidemiology, The Institute Of Cancer Research, London, United Kingdom
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, London, United Kingdom
- Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Sandra Edwards
- Division of Genetics and Epidemiology, The Institute Of Cancer Research, London, United Kingdom
| | - Jonathan D. Kay
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
- Molecular Diagnostics and Therapeutics Group, University College London, London, United Kingdom
| | - Lucy Matthews
- Division of Genetics and Epidemiology, The Institute Of Cancer Research, London, United Kingdom
| | - Kerstin Haase
- Cancer Genomics Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Jeremy Clark
- Norwich Medical School, University of East Anglia, Norwich, Norfolk, United Kingdom
| | - Nening Dennis
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Sarah Thomas
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Barbara Kremeyer
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - Jorge Zamora
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - Adam P. Butler
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - Gunes Gundem
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
- Epidemiology & Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Sue Merson
- Division of Genetics and Epidemiology, The Institute Of Cancer Research, London, United Kingdom
| | - Hayley Luxton
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
- Molecular Diagnostics and Therapeutics Group, University College London, London, United Kingdom
| | - Steve Hawkins
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
| | - Mohammed Ghori
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - Luke Marsden
- Department of Physiology, University of Oxford, Oxford, Oxfordshire, United Kingdom
| | - Adam Lambert
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, Oxford, Oxfordshire, United Kingdom
| | - Katalin Karaszi
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, Oxford, Oxfordshire, United Kingdom
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, Oxfordshire, United Kingdom
| | - Gill Pelvender
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, Oxfordshire, United Kingdom
| | - Charlie E. Massie
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
- CRUK Cambridge Centre, Early Detection Programme, Urological Malignancies Programme, Hutchison-MRC Research Centre, Cambridge, Cambridgeshire, United Kingdom
| | - Zsofia Kote-Jarai
- Division of Genetics and Epidemiology, The Institute Of Cancer Research, London, United Kingdom
| | - Keiran Raine
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - David Jones
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - William J. Howat
- Histopathology and in situ hybridization Research Group, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
| | - Steven Hazell
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Naomi Livni
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Cyril Fisher
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Christopher Ogden
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Pardeep Kumar
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Alan Thompson
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - David Nicol
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Erik Mayer
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Tim Dudderidge
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Yongwei Yu
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Hongwei Zhang
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Nimish C. Shah
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, United Kingdom
| | - Vincent J. Gnanapragasam
- Academic Urology Group, Department of Surgery, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom
| | | | - William Isaacs
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Tapio Visakorpi
- Faculty of Medicine and Life Sciences and BioMediTech Institute, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Freddie Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, Oxfordshire, United Kingdom
| | - Dan Berney
- Centre for Molecular Oncology, Barts Cancer Institute, The Barts and London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Clare Verrill
- Department of Cellular Pathology and Oxford Biomedical Research Centre, Oxford University Hospitals NHS Trust, Oxford, Oxfordshire, United Kingdom
| | - Anne Y. Warren
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, United Kingdom
| | - David C. Wedge
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
- Oxford Big Data Institute & Oxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, Oxford, Oxfordshire, United Kingdom
| | - Andrew G. Lynch
- Statistics and Computational Biology Laboratory, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
- School of Mathematics and Statistics/School of Medicine, University of St Andrews, St Andrews, Fife, Scotland
| | | | - Yong Jie Lu
- Centre for Molecular Oncology, Barts Cancer Institute, The Barts and London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - G. Steven Bova
- Faculty of Medicine and Life Sciences and BioMediTech Institute, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Hayley C. Whitaker
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
- Molecular Diagnostics and Therapeutics Group, University College London, London, United Kingdom
| | - Ultan McDermott
- Cancer, Ageing and Somatic Mutation, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - David E. Neal
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, Cambridge, Cambridgeshire, United Kingdom
- Academic Urology Group, Department of Surgery, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom
| | - Rosalind Eeles
- Division of Genetics and Epidemiology, The Institute Of Cancer Research, London, United Kingdom
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Colin S. Cooper
- Division of Genetics and Epidemiology, The Institute Of Cancer Research, London, United Kingdom
- Norwich Medical School, University of East Anglia, Norwich, Norfolk, United Kingdom
| | - Daniel S. Brewer
- Norwich Medical School, University of East Anglia, Norwich, Norfolk, United Kingdom
- Organisms and Ecosystems, The Earlham Institute, Norwich, Norfolk, United Kingdom
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7
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Gris-Oliver A, Oliveira M, Guzman M, Rodríguez O, Grueso J, Scaltriti M, Howat WJ, Barrett JC, Cortés J, Baselga J, Schiavon G, Davies BR, Saura C, Serra V. Abstract 150: Identification of determinants of sensitivity to AKT inhibition using breast cancer (BC) patient-derived tumor xenografts (PDX). Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The antitumor activity of AKT inhibitors is being investigated for the treatment of BC with activation of the PI3K/AKT pathway. Putative predictive biomarkers that are being tested in ongoing trials are PTEN loss/mutation (mut) (around 40% of triple negative BC) and AKT1 mutation (4-5% ER+/HER2- BC). The BEECH trial is evaluating the activity of the pan-AKT1/2/3 inhibitor (AKTi) AZD5363 in combination with the antimicrotubule agent paclitaxel in HER2-negative (HER2-) metastatic BC. We aimed to identify response biomarkers to the single agent AKTi and its degree of synergy in combination with paclitaxel, using HER2- patient-derived tumor xenografts (PDX).
Fifteen PDX have been established from BC patients receiving standard treatment at our Hospital, as well as from those participating in the BEECH trial, when sample was available, by implanting their tumor biopsies at baseline, on-treatment and at progression. The antitumor activity of AZD5363 as single agent and in combination with paclitaxel has been measured in these PDX. Genotyping and protein levels have been analyzed by exome sequencing, capture-based sequencing, Western blot and immunohistochemistry (IHC).
AZD5363 monotherapy results in disease stabilization or tumor regression in 3 out of 15 PDX (2/9 ER-/HER2- and 1/6 ER+/HER2-). We found a positive association between high levels of pAKT S473 by Western blot and antitumor response. Interestingly, the two ER-/HER2- responding PDX harbor a PTEN frameshift mutation or gene loss concomitant with an activating mutation within the PI3K pathway (PIK3CA or PIK3R1). The ER+/HER2- PDX responder harbors an AKT1-p.E17K mutation. AZD5363 plus paclitaxel, at a clinically relevant dose, results in disease stabilization in 2/11 PDX that progress to either single agent (1/7 ER-/HER2- and 1/4 ER+/HER2-); the latter PDX being derived from the baseline tumor biopsy of a BEECH trial patient who benefited from this combination for one year.
Altogether these results suggest that double-altering events in the PI3K pathway, including PTEN loss/mut and a second PI3K-pathway alteration in ER-/HER2- tumors, or AKT1-p.E17K in ER+/HER2- tumors, and consequent high pAkt S473 levels could be associated with intrinsic sensitivity to AKT inhibition. The predictive value of these alterations as determinants of response to AKTi deserves further investigation.
Citation Format: Albert Gris-Oliver, Mafalda Oliveira, Marta Guzman, Olga Rodríguez, Judit Grueso, Maurizio Scaltriti, William J. Howat, J Carl Barrett, Javier Cortés, José Baselga, Gaia Schiavon, Barry R. Davies, Cristina Saura, Violeta Serra. Identification of determinants of sensitivity to AKT inhibition using breast cancer (BC) patient-derived tumor xenografts (PDX) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 150. doi:10.1158/1538-7445.AM2017-150
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Affiliation(s)
| | | | - Marta Guzman
- 1Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Judit Grueso
- 1Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | | | | | | | - José Baselga
- 2Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | - Violeta Serra
- 1Vall d'Hebron Institute of Oncology, Barcelona, Spain
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8
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Neves AA, Xie B, Fawcett S, Alam IS, Witney TH, de Backer MM, Summers J, Hughes W, McGuire S, Soloviev D, Miller J, Howat WJ, Hu DE, Rodrigues TB, Lewis DY, Brindle KM. Rapid Imaging of Tumor Cell Death In Vivo Using the C2A Domain of Synaptotagmin-I. J Nucl Med 2017; 58:881-887. [PMID: 28209913 DOI: 10.2967/jnumed.116.183004] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 01/17/2017] [Indexed: 12/31/2022] Open
Abstract
Cell death is an important target for imaging the early response of tumors to treatment. We describe here the validation of a phosphatidylserine-binding agent for detecting tumor cell death in vivo based on the C2A domain of synaptotagmin-I. Methods: The capability of near-infrared fluorophore-labeled and 99mTc- and 111In-labeled derivatives of C2Am for imaging tumor cell death, using planar near-infrared fluorescence imaging and SPECT, respectively, was evaluated in implanted and genetically engineered mouse models of lymphoma and in a human colorectal xenograft. Results: The fluorophore-labeled C2Am derivative showed predominantly renal clearance and high specificity and sensitivity for detecting low levels of tumor cell death (2%-5%). There was a significant correlation (R > 0.9, P < 0.05) between fluorescently labeled C2Am binding and histologic markers of cell death, including cleaved caspase-3, whereas there was no such correlation with a site-directed mutant of C2Am (iC2Am) that does not bind phosphatidylserine. 99mTc-C2Am and 111In-C2Am also showed favorable biodistribution profiles, with predominantly renal clearance and low nonspecific retention in the liver and spleen at 24 h after probe administration. 99mTc-C2Am and 111In-C2Am generated tumor-to-muscle ratios in drug-treated tumors of 4.3× and 2.2×, respectively, at 2 h and 7.3× and 4.1×, respectively, at 24 h after administration. Conclusion: Given the favorable biodistribution profile of 99mTc- and 111In-labeled C2Am, and their ability to produce rapid and cell death-specific image contrast, these agents have potential for clinical translation.
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Affiliation(s)
- André A Neves
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Bangwen Xie
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Sarah Fawcett
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Israt S Alam
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Timothy H Witney
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Maaike M de Backer
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Julia Summers
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - William Hughes
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Sarah McGuire
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Dmitry Soloviev
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Jodi Miller
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - William J Howat
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - De-En Hu
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Tiago B Rodrigues
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - David Y Lewis
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
| | - Kevin M Brindle
- Cancer Research United Kingdom Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom; and
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
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9
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Lawson J, Robinson-Vyas RJ, McQuillan JP, Paterson A, Christie S, Kidza-Griffiths M, McDuffus LA, Moutasim KA, Shaw EC, Kiltie AE, Howat WJ, Hanby AM, Thomas GJ, Smittenaar P. Crowdsourcing for translational research: analysis of biomarker expression using cancer microarrays. Br J Cancer 2017; 116:237-245. [PMID: 27959886 PMCID: PMC5243992 DOI: 10.1038/bjc.2016.404] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2016] [Revised: 11/07/2016] [Accepted: 11/09/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Academic pathology suffers from an acute and growing lack of workforce resource. This especially impacts on translational elements of clinical trials, which can require detailed analysis of thousands of tissue samples. We tested whether crowdsourcing - enlisting help from the public - is a sufficiently accurate method to score such samples. METHODS We developed a novel online interface to train and test lay participants on cancer detection and immunohistochemistry scoring in tissue microarrays. Lay participants initially performed cancer detection on lung cancer images stained for CD8, and we measured how extending a basic tutorial by annotated example images and feedback-based training affected cancer detection accuracy. We then applied this tutorial to additional cancer types and immunohistochemistry markers - bladder/ki67, lung/EGFR, and oesophageal/CD8 - to establish accuracy compared with experts. Using this optimised tutorial, we then tested lay participants' accuracy on immunohistochemistry scoring of lung/EGFR and bladder/p53 samples. RESULTS We observed that for cancer detection, annotated example images and feedback-based training both improved accuracy compared with a basic tutorial only. Using this optimised tutorial, we demonstrate highly accurate (>0.90 area under curve) detection of cancer in samples stained with nuclear, cytoplasmic and membrane cell markers. We also observed high Spearman correlations between lay participants and experts for immunohistochemistry scoring (0.91 (0.78, 0.96) and 0.97 (0.91, 0.99) for lung/EGFR and bladder/p53 samples, respectively). CONCLUSIONS These results establish crowdsourcing as a promising method to screen large data sets for biomarkers in cancer pathology research across a range of cancers and immunohistochemical stains.
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Affiliation(s)
| | | | | | - Andy Paterson
- Cancer Research UK, 407 St John Street, London EC1V 4AD, UK
| | - Sarah Christie
- Cancer Research UK, 407 St John Street, London EC1V 4AD, UK
| | | | - Leigh-Anne McDuffus
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Karwan A Moutasim
- Southampton CRUK Centre, University of Southampton Faculty of Medicine, Tremona Road, Southampton SO16 6YD, UK
| | - Emily C Shaw
- Cancer Research UK, 407 St John Street, London EC1V 4AD, UK
- Southampton CRUK Centre, University of Southampton Faculty of Medicine, Tremona Road, Southampton SO16 6YD, UK
| | - Anne E Kiltie
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - William J Howat
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Andrew M Hanby
- Cancer Research UK Leeds Centre, University of Leeds, Beckett Street, Leeds LS9 7TF, UK
| | - Gareth J Thomas
- Southampton CRUK Centre, University of Southampton Faculty of Medicine, Tremona Road, Southampton SO16 6YD, UK
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10
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Abubakar M, Howat WJ, Daley F, Zabaglo L, McDuffus L, Blows F, Coulson P, Raza Ali H, Benitez J, Milne R, Brenner H, Stegmaier C, Mannermaa A, Chang‐Claude J, Rudolph A, Sinn P, Couch FJ, Tollenaar RA, Devilee P, Figueroa J, Sherman ME, Lissowska J, Hewitt S, Eccles D, Hooning MJ, Hollestelle A, WM Martens J, HM van Deurzen C, Investigators KC, Bolla MK, Wang Q, Jones M, Schoemaker M, Broeks A, van Leeuwen FE, Van't Veer L, Swerdlow AJ, Orr N, Dowsett M, Easton D, Schmidt MK, Pharoah PD, Garcia‐Closas M. High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium. J Pathol Clin Res 2016; 2:138-53. [PMID: 27499923 PMCID: PMC4958735 DOI: 10.1002/cjp2.42] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 02/27/2016] [Indexed: 12/21/2022]
Abstract
Automated methods are needed to facilitate high-throughput and reproducible scoring of Ki67 and other markers in breast cancer tissue microarrays (TMAs) in large-scale studies. To address this need, we developed an automated protocol for Ki67 scoring and evaluated its performance in studies from the Breast Cancer Association Consortium. We utilized 166 TMAs containing 16,953 tumour cores representing 9,059 breast cancer cases, from 13 studies, with information on other clinical and pathological characteristics. TMAs were stained for Ki67 using standard immunohistochemical procedures, and scanned and digitized using the Ariol system. An automated algorithm was developed for the scoring of Ki67, and scores were compared to computer assisted visual (CAV) scores in a subset of 15 TMAs in a training set. We also assessed the correlation between automated Ki67 scores and other clinical and pathological characteristics. Overall, we observed good discriminatory accuracy (AUC = 85%) and good agreement (kappa = 0.64) between the automated and CAV scoring methods in the training set. The performance of the automated method varied by TMA (kappa range= 0.37-0.87) and study (kappa range = 0.39-0.69). The automated method performed better in satisfactory cores (kappa = 0.68) than suboptimal (kappa = 0.51) cores (p-value for comparison = 0.005); and among cores with higher total nuclei counted by the machine (4,000-4,500 cells: kappa = 0.78) than those with lower counts (50-500 cells: kappa = 0.41; p-value = 0.010). Among the 9,059 cases in this study, the correlations between automated Ki67 and clinical and pathological characteristics were found to be in the expected directions. Our findings indicate that automated scoring of Ki67 can be an efficient method to obtain good quality data across large numbers of TMAs from multicentre studies. However, robust algorithm development and rigorous pre- and post-analytical quality control procedures are necessary in order to ensure satisfactory performance.
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Affiliation(s)
- Mustapha Abubakar
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - William J Howat
- Cancer Research UK Cambridge Institute, University of CambridgeCambridgeUK
| | - Frances Daley
- Breakthrough Breast Cancer Research Centre, Division of Breast Cancer Research, The Institute of Cancer ResearchLondonUK
| | - Lila Zabaglo
- Academic Department of Biochemistry, Royal Marsden HospitalFulham RoadLondon
| | | | - Fiona Blows
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of CambridgeCambridgeUK
| | - Penny Coulson
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - H Raza Ali
- Cancer Research UK Cambridge Institute, University of CambridgeCambridgeUK
| | - Javier Benitez
- Human Genetics Group, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO)MadridSpain
- Centro de Investigacion en Red de Enfermedades Raras (CIBERER)ValenciaSpain
| | - Roger Milne
- Cancer Epidemiology Centre, Cancer Council VictoriaMelbourneAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global health, The University of MelbourneMelbourneAustralia
| | - Herman Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ)HeidelbergGermany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), and National Center for Tumor Diseases (NCT)HeidelbergGermany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ)HeidelbergGermany
| | | | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, Cancer Center of Eastern Finland, University of Eastern FinlandKuopioFinland
- Imaging Center, Department of Clinical Pathology, Kuopio University HospitalKuopioFinland
| | - Jenny Chang‐Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ)HeidelbergGermany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg‐EppendorfHamburgGermany
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Peter Sinn
- Department of PathologyInstitute of Pathology, Heidelberg University HospitalGermany
| | - Fergus J Couch
- Department of Laboratory Medicine and PathologyMayo ClinicRochester, MNUSA
| | | | - Peter Devilee
- Department of Human Genetics & Department of PathologyLeiden University Medical CenterLeidenThe Netherlands
| | - Jonine Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of EdinburghScotlandUK
| | - Mark E Sherman
- Division of Cancer Epidemiology and GeneticsNational Cancer InstituteRockvilleMarylandUSA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and PreventionM. Sklodowska‐Curie Memorial Cancer Center and Institute of OncologyWarsawPoland
| | - Stephen Hewitt
- Laboratory of PathologyNational Cancer Institute, National Institutes of HealthRockvilleMDUSA
| | - Diana Eccles
- Faculty of Medicine Academic Unit of Cancer SciencesSouthampton General HospitalSouthamptonUK
| | - Maartje J Hooning
- Family Cancer Clinic, Department of Medical Oncology, Erasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Antoinette Hollestelle
- Family Cancer Clinic, Department of Medical Oncology, Erasmus MC Cancer InstituteRotterdamThe Netherlands
| | - John WM Martens
- Family Cancer Clinic, Department of Medical Oncology, Erasmus MC Cancer InstituteRotterdamThe Netherlands
| | | | | | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of CambridgeCambridgeUK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of CambridgeCambridgeUK
| | - Michael Jones
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Minouk Schoemaker
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Annegien Broeks
- Division of Molecular PathologyNetherlands Cancer Institute, Antoni van Leeuwenhoek HospitalAmsterdamThe Netherlands
| | - Flora E van Leeuwen
- Division of Psychosocial Research and EpidemiologyNetherlands Cancer Institute, Antoni van Leeuwenhoek HospitalAmsterdamThe Netherlands
| | - Laura Van't Veer
- Division of Molecular PathologyNetherlands Cancer Institute, Antoni van Leeuwenhoek HospitalAmsterdamThe Netherlands
| | - Anthony J Swerdlow
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
- Division of Breast Cancer ResearchThe Institute of Cancer ResearchLondonUK
| | - Nick Orr
- Breakthrough Breast Cancer Research Centre, Division of Breast Cancer Research, The Institute of Cancer ResearchLondonUK
| | - Mitch Dowsett
- Breakthrough Breast Cancer Research Centre, Division of Breast Cancer Research, The Institute of Cancer ResearchLondonUK
- Academic Department of Biochemistry, Royal Marsden HospitalFulham RoadLondon
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of CambridgeCambridgeUK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of CambridgeCambridgeUK
| | - Marjanka K Schmidt
- Division of Molecular PathologyNetherlands Cancer Institute, Antoni van Leeuwenhoek HospitalAmsterdamThe Netherlands
- Division of Psychosocial Research and EpidemiologyNetherlands Cancer Institute, Antoni van Leeuwenhoek HospitalAmsterdamThe Netherlands
| | - Paul D Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of CambridgeCambridgeUK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of CambridgeCambridgeUK
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11
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Kuo JCH, Ibrahim AEK, Dawson S, Parashar D, Howat WJ, Guttula K, Miller R, Fearnhead NS, Winton DJ, Neves AA, Brindle KM. Detection of colorectal dysplasia using fluorescently labelled lectins. Sci Rep 2016; 6:24231. [PMID: 27071814 PMCID: PMC4829854 DOI: 10.1038/srep24231] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 03/22/2016] [Indexed: 12/26/2022] Open
Abstract
Colorectal cancer screening using conventional colonoscopy lacks molecular information and can miss dysplastic lesions. We tested here the ability of fluorescently labelled lectins to distinguish dysplasia from normal tissue when sprayed on to the luminal surface epithelium of freshly resected colon tissue from the Apc(min) mouse and when applied to fixed human colorectal tissue sections. Wheat germ agglutinin (WGA) showed significantly decreased binding to adenomas in the mouse tissue and in sections of human colon from 47 patients. Changes in WGA binding to the human surface epithelium allowed regions containing normal epithelium (NE) or hyperplastic polyps (HP) to be distinguished from regions containing low-grade dysplasia (LGD), high-grade dysplasia (HGD) or carcinoma (C), with 81% sensitivity, 87% specificity and 93% positive predictive value (PPV). Helix pomatia agglutinin (HGA) distinguished epithelial regions containing NE from regions containing HP, LGD, HGD or C, with 89% sensitivity, 87% specificity and 97% PPV. The decreased binding of WGA and HPA to the luminal surface epithelium in human dysplasia suggests that these lectins may enable more sensitive detection of disease in the clinic using fluorescence colonoscopy.
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Affiliation(s)
- Joe Chin-Hun Kuo
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Ashraf E. K. Ibrahim
- Department of Pathology, Division of Molecular Histopathology, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
- MRC, Laboratory of Molecular Biology, Hills Road, Cambridge, UK
| | - Sarah Dawson
- Cambridge Clinical Trials Unit, University of Cambridge, Cambridge, UK
| | - Deepak Parashar
- Statistics and Epidemiology Unit & Cancer Research Centre, Division of Health Sciences, Warwick Medical School, The University of Warwick, Coventry, UK
| | - William J. Howat
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
| | - Kiran Guttula
- Department of Pathology, Division of Molecular Histopathology, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Richard Miller
- Cambridge Colorectal Unit, Addenbrooke’s Hospital, Cambridge, UK
| | | | - Douglas J. Winton
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
| | - André A. Neves
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
| | - Kevin M. Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
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12
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Heckman MG, Robinson JL, Tzou KS, Parker AS, Wu KJ, Hilton TW, Howat WJ, Miller JL, Kreinest PA, Pisansky TM, Schild SE, Peterson JL, Vallow LA, Carroll JS, Buskirk SJ. An Examination of the Association between FOXA1 Staining Level and Biochemical Recurrence following Salvage Radiation Therapy for Recurrent Prostate Cancer. PLoS One 2016; 11:e0151785. [PMID: 26986977 PMCID: PMC4795739 DOI: 10.1371/journal.pone.0151785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Accepted: 03/03/2016] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Standardly collected clinical and pathological patient information has demonstrated only moderate ability to predict risk of biochemical recurrence (BCR) of prostate cancer in men undergoing salvage radiation therapy (SRT) for a rising PSA after radical prostatectomy (RP). Although elevated FOXA1 staining has been associated with poor patient outcomes following RP, it has not been studied in the specific setting of SRT after RP. The aim of this study was to evaluate the association between FOXA1 staining level and BCR after SRT for recurrent prostate cancer. METHODS A total of 141 men who underwent SRT at our institution were included. FOXA1 staining levels in primary tumor samples were detected using immunohistochemistry. FOXA1 staining percentage and intensity were measured and multiplied together to obtain a FOXA1 H-score (range 0-12) which was our primary staining measure. P-values ≤ 0.0056 were considered as statistically significant after applying a Bonferroni correction for multiple comparisons. RESULTS There was not a significant association between FOXA1 H-score and risk of BCR when considering H-score as an ordinal variable or as a categorical variable (all P ≥ 0.090). Similarly, no significant associations with BCR were observed for FOXA1 staining percentage or staining intensity (all P ≥ 0.14). CONCLUSIONS FOXA1 staining level does not appear to have a major impact on risk of BCR after SRT.
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Affiliation(s)
- Michael G. Heckman
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Jessica L. Robinson
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Katherine S. Tzou
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Alexander S. Parker
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Kevin J. Wu
- Department of Pathology, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Tracy W. Hilton
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida, United States of America
| | - William J. Howat
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Jodi L. Miller
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Pamela A. Kreinest
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Thomas M. Pisansky
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Steven E. Schild
- Department of Radiation Oncology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Jennifer L. Peterson
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Laura A. Vallow
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Jason S. Carroll
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Steven J. Buskirk
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, United States of America
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13
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Burrows N, Cane G, Robson M, Gaude E, J. Howat W, Szlosarek PW, Pedley RB, Frezza C, Ashcroft M, Maxwell PH. Hypoxia-induced nitric oxide production and tumour perfusion is inhibited by pegylated arginine deiminase (ADI-PEG20). Sci Rep 2016; 6:22950. [PMID: 26972697 PMCID: PMC4789736 DOI: 10.1038/srep22950] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 02/24/2016] [Indexed: 01/21/2023] Open
Abstract
The hypoxic tumour microenvironment represents an aggressive, therapy-resistant compartment. As arginine is required for specific hypoxia-induced processes, we hypothesised that arginine-deprivation therapy may be useful in targeting hypoxic cancer cells. We explored the effects of the arginine-degrading agent ADI-PEG20 on hypoxia-inducible factor (HIF) activation, the hypoxia-induced nitric oxide (NO) pathway and proliferation using HCT116 and UMUC3 cells and xenografts. The latter lack argininosuccinate synthetase (ASS1) making them auxotrophic for arginine. In HCT116 cells, ADI-PEG20 inhibited hypoxic-activation of HIF-1α and HIF-2α, leading to decreased inducible-nitric oxide synthase (iNOS), NO-production, and VEGF. Interestingly, combining hypoxia and ADI-PEG20 synergistically inhibited ASS1. ADI-PEG20 inhibited mTORC1 and activated the unfolded protein response providing a mechanism for inhibition of HIF and ASS1. ADI-PEG20 inhibited tumour growth, impaired hypoxia-associated NO-production, and decreased vascular perfusion. Expression of HIF-1α/HIF-2α/iNOS and VEGF were reduced, despite an increased hypoxic tumour fraction. Similar effects were observed in UMUC3 xenografts. In summary, ADI-PEG20 inhibits HIF-activated processes in two tumour models with widely different arginine biology. Thus, ADI-PEG20 may be useful in the clinic to target therapy-resistant hypoxic cells in ASS1-proficient tumours and ASS1-deficient tumours.
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Affiliation(s)
- Natalie Burrows
- School of Clinical Medicine, Cambridge Institute for Medical Research, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, United Kingdom
| | - Gaelle Cane
- Metabolism and Experimental Therapeutics, Division of Medicine, University College London, 5 University Street, London, WC1E 6JF, United Kingdom
| | - Mathew Robson
- Tumour Biology Group, UCL Cancer Institute, University College London, London WC1E 6BT, United Kingdom
| | - Edoardo Gaude
- MRC Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197, Cambridge Biomedical Campus, Cambridge, United Kingdom, CB2 0XZ
| | - William J. Howat
- Histopathology/ISH, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, United Kingdom
| | - Peter W. Szlosarek
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, United Kingdom
| | - R. Barbara Pedley
- Tumour Biology Group, UCL Cancer Institute, University College London, London WC1E 6BT, United Kingdom
| | - Christian Frezza
- MRC Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197, Cambridge Biomedical Campus, Cambridge, United Kingdom, CB2 0XZ
| | - Margaret Ashcroft
- Metabolism and Experimental Therapeutics, Division of Medicine, University College London, 5 University Street, London, WC1E 6JF, United Kingdom
| | - Patrick H. Maxwell
- School of Clinical Medicine, Cambridge Institute for Medical Research, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, United Kingdom
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14
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Serrao EM, Kettunen MI, Rodrigues TB, Dzien P, Wright AJ, Gopinathan A, Gallagher FA, Lewis DY, Frese KK, Almeida J, Howat WJ, Tuveson DA, Brindle KM. MRI with hyperpolarised [1-13C]pyruvate detects advanced pancreatic preneoplasia prior to invasive disease in a mouse model. Gut 2016; 65:465-75. [PMID: 26347531 PMCID: PMC4789827 DOI: 10.1136/gutjnl-2015-310114] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 07/19/2015] [Accepted: 08/06/2015] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Pancreatic cancer (PCa) is treatable by surgery when detected at an early stage. Non-invasive imaging methods able to detect both established tumours and their precursor lesions are needed to select patients for surgery. We investigated here whether pancreatic preneoplasia could be detected prior to the development of invasive cancers in genetically engineered mouse models of PCa using metabolic imaging. DESIGN The concentrations of alanine and lactate and the activities of lactate dehydrogenase (LDH) and alanine aminotransferase (ALT) were measured in extracts prepared from the pancreas of animals at different stages of disease progression; from pancreatitis, through tissue with predominantly low-grade and then high-grade pancreatic intraepithelial neoplasia and then tumour. (13)C magnetic resonance spectroscopic imaging ((13)C-MRSI) was used to measure non-invasively changes in (13)C labelling of alanine and lactate with disease progression, following injection of hyperpolarised [1-(13)C]pyruvate. RESULTS Progressive decreases in the alanine/lactate concentration ratio and ALT/LDH activity ratio with disease progression were accompanied by a corresponding decrease in the [1-(13)C]alanine/[1-(13)C]lactate signal ratio observed in (13)C-MRSI images of the pancreas. CONCLUSIONS Metabolic imaging with hyperpolarised [1-(13)C]pyruvate enables detection and monitoring of the progression of PCa precursor lesions. Translation of this MRI technique to the clinic has the potential to improve the management of patients at high risk of developing PCa.
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Affiliation(s)
- Eva M Serrao
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Mikko I Kettunen
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Tiago B Rodrigues
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Piotr Dzien
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Alan J Wright
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Aarthi Gopinathan
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ferdia A Gallagher
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - David Y Lewis
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | | | - Jaime Almeida
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - William J Howat
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
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15
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Sung H, Garcia-Closas M, Chang-Claude J, Blows FM, Ali HR, Figueroa J, Nevanlinna H, Fagerholm R, Heikkilä P, Blomqvist C, Giles GG, Milne RL, Southey MC, McLean C, Mannermaa A, Kosma VM, Kataja V, Sironen R, Couch FJ, Olson JE, Hallberg E, Olswold C, Cox A, Cross SS, Kraft P, Tamimi RM, Eliassen AH, Schmidt MK, Bolla MK, Wang Q, Easton D, Howat WJ, Coulson P, Pharoah PDP, Sherman ME, Yang XR. Heterogeneity of luminal breast cancer characterised by immunohistochemical expression of basal markers. Br J Cancer 2016; 114:298-304. [PMID: 26679376 PMCID: PMC4742579 DOI: 10.1038/bjc.2015.437] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 10/23/2015] [Accepted: 11/21/2015] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Luminal A breast cancer defined as hormone receptor positive and human epidermal growth factor receptor 2 (HER2) negative is known to be heterogeneous. Previous study showed that luminal A tumours with the expression of basal markers ((cytokeratin (CK) 5 or CK5/6) or epidermal growth factor receptor (EGFR)) were associated with poorer prognosis compared with those that stained negative for basal markers. Prompted by this study, we assessed whether tumour characteristics and risk factors differed by basal marker status within luminal A tumours. METHODS We pooled 5040 luminal A cases defined by immunohistochemistry (4490 basal-negative ((CK5 (or CK5/6))- and EGFR-) and 550 basal-positive ((CK5 (or CK5/6+)) or EGFR+)) from eight studies participating in the Breast Cancer Association Consortium. Case-case comparison was performed using unconditional logistic regression. RESULTS Tumour characteristics and risk factors did not vary significantly by the expression of basal markers, although results suggested that basal-positive luminal tumours tended to be smaller and node negative, and were more common in women with a positive family history and lower body mass index. CONCLUSIONS Most established breast cancer risk factors were similar in basal-positive and basal-negative luminal A tumours. The non-significant but suggestive differences in tumour features and family history warrant further investigations.
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MESH Headings
- Adult
- Age Factors
- Aged
- Biomarkers, Tumor/metabolism
- Body Mass Index
- Breast Neoplasms/metabolism
- Breast Neoplasms/pathology
- Carcinoma, Ductal, Breast/metabolism
- Carcinoma, Ductal, Breast/pathology
- Carcinoma, Lobular/metabolism
- Carcinoma, Lobular/pathology
- ErbB Receptors/metabolism
- Female
- Humans
- Immunohistochemistry
- Keratin-5/metabolism
- Keratin-6/metabolism
- Menarche
- Menopause
- Middle Aged
- Neoplasm Grading
- Neoplasm Staging
- Parity
- Prognosis
- Receptor, ErbB-2/metabolism
- Receptors, Estrogen/metabolism
- Receptors, Progesterone/metabolism
- Risk Factors
- Tumor Burden
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Affiliation(s)
- Hyuna Sung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, 20850 MD, USA
| | - Montserrat Garcia-Closas
- Division of Breast Cancer Research, Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 15 Cotswold Rd, Sutton, Surrey, SM2 5NG London, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Fiona M Blows
- Department of Oncology, University of Cambridge, Worts Causeway, CB1 8RN Cambridge, UK
| | - H Raza Ali
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, CB2 0RE Cambridge, UK
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, 20850 MD, USA
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, PO Box 700, 00029 HUS Helsinki, Finland
| | - Rainer Fagerholm
- Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, PO Box 700, 00029 HUS Helsinki, Finland
| | - Päivi Heikkilä
- Department of Pathology, Helsinki University Hospital and University of Helsinki, PO Box 400, 00029 Helsinki, Finland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital and University of Helsinki, PO Box 400, 00029 Helsinki, Finland
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, 615 St Kilda Rd, Melbourne, 3004 Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, 3010 Victoria, Australia
| | - Roger L Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, 615 St Kilda Rd, Melbourne, 3004 Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, 3010 Victoria, Australia
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, 3010 Victoria, Australia
| | - Catriona McLean
- Anatomical Pathology, The Alfred Hospital, Commercial Rd, Prahran, 3181, 3053 Victoria, Australia
| | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, PO Box 1627, 70211 Kuopio, Finland
- Department of Clinical Pathology, Imaging Center, Kuopio University Hospital, PO Box 100, 70029 KYS Kuopio, Finland
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, PO Box 1627, 70211 Kuopio, Finland
- Department of Clinical Pathology, Imaging Center, Kuopio University Hospital, PO Box 100, 70029 KYS Kuopio, Finland
| | - Vesa Kataja
- Jyväskylä Central Hospital, Central Finland Health Care District, Adm Bldg 6/2, Keskussairaalantie 19, 40620 Jyväskylä, Finland
| | - Reijo Sironen
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, PO Box 1627, 70211 Kuopio, Finland
- Department of Clinical Pathology, Imaging Center, Kuopio University Hospital, PO Box 100, 70029 KYS Kuopio, Finland
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Stabile 2-42, 200 First Street SW, Rochester, 55905 MN, USA
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, 55905 MN, USA
| | - Emily Hallberg
- Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, 55905 MN, USA
| | - Curtis Olswold
- Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, 55905 MN, USA
| | - Angela Cox
- Sheffield Cancer Research, Department of Oncology, University of Sheffield, Beech Hill Road, S10 2RX Sheffield, UK
| | - Simon S Cross
- Department of Neuroscience, University of Sheffield, Beech Hill Road, S10 2RX Sheffield, UK
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, 02115 MA, USA
| | - Rulla M Tamimi
- Department of Medicine, Channing Division of Network Medicine, Harvard Medical School and Brigham and Women's Hospital, 181 Longwood Avenue, Boston, 02115 MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, 02115 MA, USA
| | - A Heather Eliassen
- Department of Medicine, Channing Division of Network Medicine, Harvard Medical School and Brigham and Women's Hospital, 181 Longwood Avenue, Boston, 02115 MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, 02115 MA, USA
| | - Marjanka K Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, CB1 8RN Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, CB1 8RN Cambridge, UK
| | - Douglas Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, CB1 8RN Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, CB1 8RN Cambridge, UK
| | - William J Howat
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, CB2 0RE Cambridge, UK
| | - Penny Coulson
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Rd, Sutton, Surrey, SM2 5NG London, UK
| | - Paul DP Pharoah
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, CB1 8RN Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, CB1 8RN Cambridge, UK
| | - Mark E Sherman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, 20850 MD, USA
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, 20850 MD, USA
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16
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Gallagher FA, Sladen H, Kettunen MI, Serrao EM, Rodrigues TB, Wright A, Gill AB, McGuire S, Booth TC, Boren J, McIntyre A, Miller JL, Lee SH, Honess D, Day SE, Hu DE, Howat WJ, Harris AL, Brindle KM. Carbonic Anhydrase Activity Monitored In Vivo by Hyperpolarized 13C-Magnetic Resonance Spectroscopy Demonstrates Its Importance for pH Regulation in Tumors. Cancer Res 2015; 75:4109-18. [PMID: 26249175 PMCID: PMC4594768 DOI: 10.1158/0008-5472.can-15-0857] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 07/12/2015] [Indexed: 11/16/2022]
Abstract
Carbonic anhydrase buffers tissue pH by catalyzing the rapid interconversion of carbon dioxide (CO2) and bicarbonate (HCO3 (-)). We assessed the functional activity of CAIX in two colorectal tumor models, expressing different levels of the enzyme, by measuring the rate of exchange of hyperpolarized (13)C label between bicarbonate (H(13)CO3(-)) and carbon dioxide ((13)CO2), following injection of hyperpolarized H(13)CO3(-), using (13)C-magnetic resonance spectroscopy ((13)C-MRS) magnetization transfer measurements. (31)P-MRS measurements of the chemical shift of the pH probe, 3-aminopropylphosphonate, and (13)C-MRS measurements of the H(13)CO3(-)/(13)CO2 peak intensity ratio showed that CAIX overexpression lowered extracellular pH in these tumors. However, the (13)C measurements overestimated pH due to incomplete equilibration of the hyperpolarized (13)C label between the H(13)CO3(-) and (13)CO2 pools. Paradoxically, tumors overexpressing CAIX showed lower enzyme activity using magnetization transfer measurements, which can be explained by the more acidic extracellular pH in these tumors and the decreased activity of the enzyme at low pH. This explanation was confirmed by administration of bicarbonate in the drinking water, which elevated tumor extracellular pH and restored enzyme activity to control levels. These results suggest that CAIX expression is increased in hypoxia to compensate for the decrease in its activity produced by a low extracellular pH and supports the hypothesis that a major function of CAIX is to lower the extracellular pH.
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Affiliation(s)
- Ferdia A Gallagher
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom. Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom.
| | - Helen Sladen
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Mikko I Kettunen
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Eva M Serrao
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Tiago B Rodrigues
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Alan Wright
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Andrew B Gill
- Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Sarah McGuire
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Thomas C Booth
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Joan Boren
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Alan McIntyre
- Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Jodi L Miller
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Shen-Han Lee
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Davina Honess
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Sam E Day
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - De-En Hu
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - William J Howat
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Adrian L Harris
- Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
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17
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Barlow AD, Hamed MO, Mallon DH, Brais RJ, Gribble FM, Scott MA, Howat WJ, Bradley JA, Bolton EM, Pettigrew GJ, Hosgood SA, Nicholson ML, Saeb-Parsy K. Use of Ex Vivo Normothermic Perfusion for Quality Assessment of Discarded Human Donor Pancreases. Am J Transplant 2015; 15:2475-82. [PMID: 25989187 PMCID: PMC7212093 DOI: 10.1111/ajt.13303] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Revised: 02/10/2015] [Accepted: 02/28/2015] [Indexed: 01/25/2023]
Abstract
A significant number of pancreases procured for transplantation are deemed unsuitable due to concerns about graft quality and the associated risk of complications. However, this decision is subjective and some declined grafts may be suitable for transplantation. Ex vivo normothermic perfusion (EVNP) prior to transplantation may allow a more objective assessment of graft quality and reduce discard rates. We report ex vivo normothermic perfusion of human pancreases procured but declined for transplantation, with ABO-compatible warm oxygenated packed red blood cells for 1-2 h. Five declined human pancreases were assessed using this technique after a median cold ischemia time of 13 h 19 min. One pancreas, with cold ischemia over 30 h, did not appear viable and was excluded. In the remaining pancreases, blood flow and pH were maintained throughout perfusion. Insulin secretion was observed in all four pancreases, but was lowest in an older donation after cardiac death pancreas. Amylase levels were highest in a gland with significant fat infiltration. This is the first study to assess the perfusion, injury, as measured by amylase, and exocrine function of human pancreases using EVNP and demonstrates the feasibility of the approach, although further refinements are required.
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Affiliation(s)
- AD Barlow
- Dept of Surgery, University of Cambridge, Cambridge, UK,NIHR Biomedical Research Campus, Cambridge, UK
| | - MO Hamed
- Dept of Surgery, University of Cambridge, Cambridge, UK,NIHR Biomedical Research Campus, Cambridge, UK
| | - DH Mallon
- Dept of Surgery, University of Cambridge, Cambridge, UK,NIHR Biomedical Research Campus, Cambridge, UK
| | - RJ Brais
- NIHR Biomedical Research Campus, Cambridge, UK,Dept of Histopathology, Addenbrooke’s Hospital, Cambridge, UK
| | - FM Gribble
- NIHR Biomedical Research Campus, Cambridge, UK,Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - MA Scott
- NIHR Biomedical Research Campus, Cambridge, UK,Dept of Haematology, Addenbrooke’s Hospital, Cambridge, UK
| | - WJ Howat
- NIHR Biomedical Research Campus, Cambridge, UK,Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - JA Bradley
- Dept of Surgery, University of Cambridge, Cambridge, UK,NIHR Biomedical Research Campus, Cambridge, UK
| | - EM Bolton
- Dept of Surgery, University of Cambridge, Cambridge, UK,NIHR Biomedical Research Campus, Cambridge, UK
| | - GJ Pettigrew
- Dept of Surgery, University of Cambridge, Cambridge, UK,NIHR Biomedical Research Campus, Cambridge, UK
| | - SA Hosgood
- Division of Transplant Surgery, University of Leicester, Leicester, UK
| | - ML Nicholson
- Division of Transplant Surgery, University of Leicester, Leicester, UK
| | - K Saeb-Parsy
- Dept of Surgery, University of Cambridge, Cambridge, UK,NIHR Biomedical Research Campus, Cambridge, UK
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18
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Candido dos Reis FJ, Lynn S, Ali HR, Eccles D, Hanby A, Provenzano E, Caldas C, Howat WJ, McDuffus LA, Liu B, Daley F, Coulson P, Vyas RJ, Harris LM, Owens JM, Carton AF, McQuillan JP, Paterson AM, Hirji Z, Christie SK, Holmes AR, Schmidt MK, Garcia-Closas M, Easton DF, Bolla MK, Wang Q, Benitez J, Milne RL, Mannermaa A, Couch F, Devilee P, Tollenaar RA, Seynaeve C, Cox A, Cross SS, Blows FM, Sanders J, de Groot R, Figueroa J, Sherman M, Hooning M, Brenner H, Holleczek B, Stegmaier C, Lintott C, Pharoah PD. Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer. EBioMedicine 2015; 2:681-9. [PMID: 26288840 PMCID: PMC4534635 DOI: 10.1016/j.ebiom.2015.05.009] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Revised: 05/07/2015] [Accepted: 05/08/2015] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Citizen science, scientific research conducted by non-specialists, has the potential to facilitate biomedical research using available large-scale data, however validating the results is challenging. The Cell Slider is a citizen science project that intends to share images from tumors with the general public, enabling them to score tumor markers independently through an internet-based interface. METHODS From October 2012 to June 2014, 98,293 Citizen Scientists accessed the Cell Slider web page and scored 180,172 sub-images derived from images of 12,326 tissue microarray cores labeled for estrogen receptor (ER). We evaluated the accuracy of Citizen Scientist's ER classification, and the association between ER status and prognosis by comparing their test performance against trained pathologists. FINDINGS The area under ROC curve was 0.95 (95% CI 0.94 to 0.96) for cancer cell identification and 0.97 (95% CI 0.96 to 0.97) for ER status. ER positive tumors scored by Citizen Scientists were associated with survival in a similar way to that scored by trained pathologists. Survival probability at 15 years were 0.78 (95% CI 0.76 to 0.80) for ER-positive and 0.72 (95% CI 0.68 to 0.77) for ER-negative tumors based on Citizen Scientists classification. Based on pathologist classification, survival probability was 0.79 (95% CI 0.77 to 0.81) for ER-positive and 0.71 (95% CI 0.67 to 0.74) for ER-negative tumors. The hazard ratio for death was 0.26 (95% CI 0.18 to 0.37) at diagnosis and became greater than one after 6.5 years of follow-up for ER scored by Citizen Scientists, and 0.24 (95% CI 0.18 to 0.33) at diagnosis increasing thereafter to one after 6.7 (95% CI 4.1 to 10.9) years of follow-up for ER scored by pathologists. INTERPRETATION Crowdsourcing of the general public to classify cancer pathology data for research is viable, engages the public and provides accurate ER data. Crowdsourced classification of research data may offer a valid solution to problems of throughput requiring human input.
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Affiliation(s)
- Francisco J. Candido dos Reis
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Gynecology and Obstetrics, Ribeirao Preto School of Medicine, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Stuart Lynn
- Department of Physics (Astrophysics), University of Oxford, Oxford, UK
| | - H. Raza Ali
- Cancer Research UK, Cambridge Institute, Cambridge, UK
| | | | | | | | - Carlos Caldas
- Cancer Research UK, Cambridge Institute, Cambridge, UK
| | | | | | - Bin Liu
- Cancer Research UK, Cambridge Institute, Cambridge, UK
| | | | | | | | | | | | | | | | | | | | | | | | - Marjanka K. Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | - Douglas F. Easton
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K. Bolla
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Javier Benitez
- Human Genotyping (CEGEN) Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Biomedical Network on Rare Diseases (CIBERER), Madrid, Spain
| | - Roger L. Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia
| | - Arto Mannermaa
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Finland
| | - Fergus Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Peter Devilee
- Department of Human Genetics & Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Angela Cox
- Sheffield Cancer Research, Department of Oncology, University of Sheffield, Sheffield, UK
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Fiona M. Blows
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Joyce Sanders
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Renate de Groot
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | | | - Maartje Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Chris Lintott
- Department of Physics (Astrophysics), University of Oxford, Oxford, UK
| | - Paul D.P. Pharoah
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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19
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Howat WJ, Blows FM, Provenzano E, Brook MN, Morris L, Gazinska P, Johnson N, McDuffus LA, Miller J, Sawyer EJ, Pinder S, van Deurzen CHM, Jones L, Sironen R, Visscher D, Caldas C, Daley F, Coulson P, Broeks A, Sanders J, Wesseling J, Nevanlinna H, Fagerholm R, Blomqvist C, Heikkilä P, Ali HR, Dawson SJ, Figueroa J, Lissowska J, Brinton L, Mannermaa A, Kataja V, Kosma VM, Cox A, Brock IW, Cross SS, Reed MW, Couch FJ, Olson JE, Devillee P, Mesker WE, Seyaneve CM, Hollestelle A, Benitez J, Perez JIA, Menéndez P, Bolla MK, Easton DF, Schmidt MK, Pharoah PD, Sherman ME, García-Closas M. Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium. J Pathol Clin Res 2015; 1:18-32. [PMID: 27499890 PMCID: PMC4858117 DOI: 10.1002/cjp2.3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2014] [Accepted: 05/28/2014] [Indexed: 01/02/2023]
Abstract
Breast cancer risk factors and clinical outcomes vary by tumour marker expression. However, individual studies often lack the power required to assess these relationships, and large-scale analyses are limited by the need for high throughput, standardized scoring methods. To address these limitations, we assessed whether automated image analysis of immunohistochemically stained tissue microarrays can permit rapid, standardized scoring of tumour markers from multiple studies. Tissue microarray sections prepared in nine studies containing 20 263 cores from 8267 breast cancers stained for two nuclear (oestrogen receptor, progesterone receptor), two membranous (human epidermal growth factor receptor 2 and epidermal growth factor receptor) and one cytoplasmic (cytokeratin 5/6) marker were scanned as digital images. Automated algorithms were used to score markers in tumour cells using the Ariol system. We compared automated scores against visual reads, and their associations with breast cancer survival. Approximately 65-70% of tissue microarray cores were satisfactory for scoring. Among satisfactory cores, agreement between dichotomous automated and visual scores was highest for oestrogen receptor (Kappa = 0.76), followed by human epidermal growth factor receptor 2 (Kappa = 0.69) and progesterone receptor (Kappa = 0.67). Automated quantitative scores for these markers were associated with hazard ratios for breast cancer mortality in a dose-response manner. Considering visual scores of epidermal growth factor receptor or cytokeratin 5/6 as the reference, automated scoring achieved excellent negative predictive value (96-98%), but yielded many false positives (positive predictive value = 30-32%). For all markers, we observed substantial heterogeneity in automated scoring performance across tissue microarrays. Automated analysis is a potentially useful tool for large-scale, quantitative scoring of immunohistochemically stained tissue microarrays available in consortia. However, continued optimization, rigorous marker-specific quality control measures and standardization of tissue microarray designs, staining and scoring protocols is needed to enhance results.
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Affiliation(s)
- William J Howat
- Cancer Research UK Cambridge Institute, University of Cambridge Cambridge UK
| | - Fiona M Blows
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge Cambridge UK
| | | | - Mark N Brook
- Division of Genetics and Epidemiology The Institute of Cancer Research London UK
| | - Lorna Morris
- Cancer Research UK Cambridge Institute, University of CambridgeCambridgeUK; Department of OncologyUniversity of CambridgeCambridgeUK
| | - Patrycja Gazinska
- Breakthrough Breast Cancer Research Unit, Division of Cancer Studies King's College London, Guy's Hospital London UK
| | - Nicola Johnson
- Cancer Research UK Cambridge Institute, University of Cambridge Cambridge UK
| | - Leigh-Anne McDuffus
- Cancer Research UK Cambridge Institute, University of Cambridge Cambridge UK
| | - Jodi Miller
- Cancer Research UK Cambridge Institute, University of Cambridge Cambridge UK
| | - Elinor J Sawyer
- Division of Cancer Studies, NIHR Comprehensive Biomedical Research Centre Guy's & St. Thomas' NHS Foundation Trust in partnership with King's College London London UK
| | - Sarah Pinder
- Research Oncology, Division of Cancer Studies King's College London, Guy's Hospital London UK
| | | | - Louise Jones
- Centre for Tumour BiologyBarts Institute of CancerBartsUK; The London School of Medicine and DentistryLondonUK
| | - Reijo Sironen
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic MedicineCancer Center of Eastern Finland, University of Eastern FinlandKuopioFinland; Imaging Center, Department of Clinical PathologyKuopio University HospitalKuopioFinland
| | - Daniel Visscher
- Department of Laboratory Medicine and Pathology Mayo Clinic Rochester MN USA
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge Cambridge UK
| | - Frances Daley
- Breakthrough Breast Cancer Research Centre, Division of Breast Cancer Research The Institute of Cancer Research London UK
| | - Penny Coulson
- Division of Genetics and Epidemiology The Institute of Cancer Research London UK
| | - Annegien Broeks
- Core Facility for Molecular Pathology and Biobanking Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital Amsterdam The Netherlands
| | - Joyce Sanders
- Department of Pathology, Division of Diagnostic Oncology Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital Amsterdam The Netherlands
| | - Jelle Wesseling
- Department of Pathology, Division of Diagnostic Oncology Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital Amsterdam The Netherlands
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology University of Helsinki and Helsinki University Central Hospital Helsinki Finland
| | - Rainer Fagerholm
- Department of Obstetrics and Gynecology University of Helsinki and Helsinki University Central Hospital Helsinki Finland
| | - Carl Blomqvist
- Department of Oncology Helsinki University Central Hospital Helsinki Finland
| | - Päivi Heikkilä
- Department of Pathology Helsinki University Central Hospital Helsinki Finland
| | - H Raza Ali
- Cancer Research UK Cambridge Institute, University of Cambridge Cambridge UK
| | - Sarah-Jane Dawson
- Cancer Research UK Cambridge Institute, University of Cambridge Cambridge UK
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention M. Sklodowska-Curie Memorial Cancer Center & Institute of Oncology Warsaw Poland
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland USA
| | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic MedicineCancer Center of Eastern Finland, University of Eastern FinlandKuopioFinland; Imaging Center, Department of Clinical PathologyKuopio University HospitalKuopioFinland
| | - Vesa Kataja
- Kuopio University Hospital, Cancer CenterKuopioFinland; School of Medicine, Institute of Clinical MedicineUniversity of Eastern Finland, Oncology and Central Hospital of Central Finland, Central Finland Hospital DistrictKuopioFinland
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic MedicineCancer Center of Eastern Finland, University of Eastern FinlandKuopioFinland; Imaging Center, Department of Clinical PathologyKuopio University HospitalKuopioFinland
| | - Angela Cox
- CRUK/YCR Sheffield Cancer Research Centre, Department of Oncology University of Sheffield Sheffield UK
| | - Ian W Brock
- CRUK/YCR Sheffield Cancer Research Centre, Department of Oncology University of Sheffield Sheffield UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience University of Sheffield Sheffield UK
| | - Malcolm W Reed
- CRUK/YCR Sheffield Cancer Research Centre, Department of Oncology University of Sheffield Sheffield UK
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology Mayo Clinic Rochester MN USA
| | - Janet E Olson
- Department of Health Sciences Research Mayo Clinic Rochester MN USA
| | - Peter Devillee
- Department of Human Genetics & Department of Pathology Leiden University Medical Center Leiden The Netherlands
| | - Wilma E Mesker
- Department of Surgical Oncology Leiden University Medical Center RC Leiden The Netherlands
| | - Caroline M Seyaneve
- Family Cancer Clinic, Department of Medical Oncology Erasmus MC Cancer Institute Rotterdam The Netherlands
| | - Antoinette Hollestelle
- Family Cancer Clinic, Department of Medical Oncology Erasmus MC Cancer Institute Rotterdam The Netherlands
| | - Javier Benitez
- Human Genetics Group, Human Cancer Genetics ProgramSpanish National Cancer Research Centre (CNIO)MadridSpain; Centro de Investigación en Red de Enfermedades Raras (CIBERER)ValenciaSpain
| | | | | | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care University of Cambridge Cambridge UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of OncologyUniversity of CambridgeCambridgeUK; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
| | - Marjanka K Schmidt
- Division of Molecular Pathology Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital Amsterdam The Netherlands
| | - Paul D Pharoah
- Centre for Cancer Genetic Epidemiology, Department of OncologyUniversity of CambridgeCambridgeUK; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
| | - Mark E Sherman
- Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland USA
| | - Montserrat García-Closas
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK; Breakthrough Breast Cancer Research Centre, Division of Breast Cancer ResearchThe Institute of Cancer ResearchLondonUK
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20
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Biffi G, Tannahill D, Miller J, Howat WJ, Balasubramanian S. Elevated levels of G-quadruplex formation in human stomach and liver cancer tissues. PLoS One 2014; 9:e102711. [PMID: 25033211 PMCID: PMC4102534 DOI: 10.1371/journal.pone.0102711] [Citation(s) in RCA: 127] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Accepted: 06/23/2014] [Indexed: 02/06/2023] Open
Abstract
Four-stranded G-quadruplex DNA secondary structures have recently been visualized in the nuclei of human cultured cells. Here, we show that BG4, a G-quadruplex-specific antibody, can be used to stain DNA G-quadruplex structures in patient-derived tissues using immunohistochemistry. We observe a significantly elevated number of G-quadruplex-positive nuclei in human cancers of the liver and stomach as compared to background non-neoplastic tissue. Our results suggest that G-quadruplex formation can be detected and measured in patient-derived material and that elevated G-quadruplex formation may be a characteristic of some cancers.
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Affiliation(s)
- Giulia Biffi
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - David Tannahill
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Jodi Miller
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - William J. Howat
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Shankar Balasubramanian
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
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21
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Neesse A, Frese KK, Chan DS, Bapiro TE, Howat WJ, Richards FM, Ellenrieder V, Jodrell DI, Tuveson DA. SPARC independent drug delivery and antitumour effects of nab-paclitaxel in genetically engineered mice. Gut 2014; 63:974-83. [PMID: 24067278 PMCID: PMC4033275 DOI: 10.1136/gutjnl-2013-305559] [Citation(s) in RCA: 144] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Revised: 07/24/2013] [Accepted: 07/28/2013] [Indexed: 12/16/2022]
Abstract
DESIGN Pharmacokinetic and pharmacodynamic parameters of cremophor-paclitaxel, nab-paclitaxel (human-albumin-bound paclitaxel, Abraxane) and a novel mouse-albumin-bound paclitaxel (m-nab-paclitaxel) were evaluated in genetically engineered mouse models (GEMMs) by liquid chromatography-tandem mass spectrometry (LC-MS/MS), histological and biochemical analysis. Preclinical evaluation of m-nab-paclitaxel included assessment by three-dimensional high-resolution ultrasound and molecular analysis in a novel secreted protein acidic and rich in cysteine (SPARC)-deficient GEMM of pancreatic ductal adenocarcinoma (PDA). RESULTS nab-Paclitaxel exerted its antitumoural effects in a dose-dependent manner and was associated with less toxicity compared with cremophor-paclitaxel. SPARC nullizygosity in a GEMM of PDA, Kras(G12D);p53(flox/-);p48Cre (KPfC), resulted in desmoplastic ductal pancreas tumours with impaired collagen maturation. Paclitaxel concentrations were significantly decreased in SPARC null plasma samples and tissues when administered as low-dose m-nab-paclitaxel. At the maximally tolerated dose, SPARC deficiency did not affect the intratumoural paclitaxel concentration, stromal deposition and the immediate therapeutic response. CONCLUSIONS nab-Paclitaxel accumulates and acts in a dose-dependent manner. The interaction of plasma SPARC and albumin-bound drugs is observed at low doses of nab-paclitaxel but is saturated at therapeutic doses in murine tumours. Thus, this study provides important information for future preclinical and clinical trials in PDA using nab-paclitaxel in combination with novel experimental and targeted agents.
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Affiliation(s)
- Albrecht Neesse
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
- Department of Gastroenterology, Endocrinology, Infectiology and Metabolism, Philipps University Marburg, Marburg, Germany
| | - Kristopher K Frese
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
| | - Derek S Chan
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
| | - Tashinga E Bapiro
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
| | - William J Howat
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
| | - Frances M Richards
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
| | - Volker Ellenrieder
- Department of Gastroenterology, Endocrinology, Infectiology and Metabolism, Philipps University Marburg, Marburg, Germany
| | - Duncan I Jodrell
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
| | - David A Tuveson
- Cancer Research UK Cambridge Institute, The University of Cambridge, Cambridge, UK
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
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22
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Ramos-Montoya A, Lamb AD, Russell R, Carroll T, Jurmeister S, Galeano-Dalmau N, Massie CE, Boren J, Bon H, Theodorou V, Vias M, Shaw GL, Sharma NL, Ross-Adams H, Scott HE, Vowler SL, Howat WJ, Warren AY, Wooster RF, Mills IG, Neal DE. HES6 drives a critical AR transcriptional programme to induce castration-resistant prostate cancer through activation of an E2F1-mediated cell cycle network. EMBO Mol Med 2014; 6:651-61. [PMID: 24737870 PMCID: PMC4023887 DOI: 10.1002/emmm.201303581] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Castrate-resistant prostate cancer (CRPC) is poorly characterized and heterogeneous and while the androgen receptor (AR) is of singular importance, other factors such as c-Myc and the E2F family also play a role in later stage disease. HES6 is a transcription co-factor associated with stem cell characteristics in neural tissue. Here we show that HES6 is up-regulated in aggressive human prostate cancer and drives castration-resistant tumour growth in the absence of ligand binding by enhancing the transcriptional activity of the AR, which is preferentially directed to a regulatory network enriched for transcription factors such as E2F1. In the clinical setting, we have uncovered a HES6-associated signature that predicts poor outcome in prostate cancer, which can be pharmacologically targeted by inhibition of PLK1 with restoration of sensitivity to castration. We have therefore shown for the first time the critical role of HES6 in the development of CRPC and identified its potential in patient-specific therapeutic strategies.
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Affiliation(s)
- Antonio Ramos-Montoya
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Alastair D Lamb
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK,*Corresponding author. Tel: +44 1223 331940; Fax: +44 1223 769007; E-mail:
| | - Roslin Russell
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Thomas Carroll
- Bioinformatics Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Sarah Jurmeister
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Nuria Galeano-Dalmau
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Charlie E Massie
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Joan Boren
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Helene Bon
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Vasiliki Theodorou
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Maria Vias
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Greg L Shaw
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK
| | - Naomi L Sharma
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK
| | - Helen Ross-Adams
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Helen E Scott
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Sarah L Vowler
- Bioinformatics Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - William J Howat
- Histopathology/ISH Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Anne Y Warren
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Pathology, Addenbrooke's HospitalCambridge, UK
| | | | - Ian G Mills
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Prostate Cancer Research Group, Nordic EMBL Partnership, Centre for Molecular Medicine Norway (NCMM), University of OsloOslo, Norway,Departments of Cancer Prevention and Urology, Institute of Cancer Research and Oslo University HospitalsOslo, Norway
| | - David E Neal
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK,Department of Oncology, University of CambridgeCambridge, UK,**Corresponding author. Tel: +44 1223 331940; Fax: +44 1223 769007; E-mail:
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23
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Howat WJ, Lewis A, Jones P, Kampf C, Pontén F, van der Loos CM, Gray N, Womack C, Warford A. Antibody validation of immunohistochemistry for biomarker discovery: recommendations of a consortium of academic and pharmaceutical based histopathology researchers. Methods 2014; 70:34-8. [PMID: 24525140 PMCID: PMC4240800 DOI: 10.1016/j.ymeth.2014.01.018] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2013] [Revised: 01/27/2014] [Accepted: 01/28/2014] [Indexed: 01/05/2023] Open
Abstract
As biomarker discovery takes centre-stage, the role of immunohistochemistry within that process is increasing. At the same time, the number of antibodies being produced for “research use” continues to rise and it is important that antibodies to be used as biomarkers are validated for specificity and sensitivity before use. This guideline seeks to provide a stepwise approach for the validation of an antibody for immunohistochemical assays, reflecting the views of a consortium of academic and pharmaceutical based histopathology researchers. We propose that antibodies are placed into a tier system, level 1–3, based on evidence of their usage in immunohistochemistry, and that the degree of validation required is proportionate to their place on that tier.
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Affiliation(s)
- William J Howat
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, UK.
| | | | - Phillipa Jones
- UCL Advanced Diagnostics, 21 University Street, London WC1E 6JJ, UK
| | - Caroline Kampf
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Neil Gray
- AstraZeneca Oncology Innovative Medicines, Macclesfield, UK
| | - Chris Womack
- AstraZeneca Oncology Innovative Medicines, Macclesfield, UK
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24
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Morris L, Tsui A, Crichton C, Harris S, Maccallum PH, Howat WJ, Davies J, Brenton JD, Caldas C. A metadata-aware application for remote scoring and exchange of tissue microarray images. BMC Bioinformatics 2013; 14:147. [PMID: 23635078 PMCID: PMC3659093 DOI: 10.1186/1471-2105-14-147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2013] [Accepted: 04/23/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The use of tissue microarrays (TMA) and advances in digital scanning microscopy has enabled the collection of thousands of tissue images. There is a need for software tools to annotate, query and share this data amongst researchers in different physical locations. RESULTS We have developed an open source web-based application for remote scoring of TMA images, which exploits the value of Microsoft Silverlight Deep Zoom to provide a intuitive interface for zooming and panning around digital images. We use and extend existing XML-based standards to ensure that the data collected can be archived and that our system is interoperable with other standards-compliant systems. CONCLUSION The application has been used for multi-centre scoring of TMA slides composed of tissues from several Phase III breast cancer trials and ten different studies participating in the International Breast Cancer Association Consortium (BCAC). The system has enabled researchers to simultaneously score large collections of TMA and export the standardised data to integrate with pathological and clinical outcome data, thereby facilitating biomarker discovery.
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Affiliation(s)
- Lorna Morris
- Department of Oncology, University of Cambridge and Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - Andrew Tsui
- Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK
| | - Charles Crichton
- Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK
| | - Steve Harris
- Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK
| | - Peter H Maccallum
- Department of Oncology, University of Cambridge and Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - William J Howat
- Department of Oncology, University of Cambridge and Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - Jim Davies
- Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK
| | - James D Brenton
- Department of Oncology, University of Cambridge and Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
- Cambridge Experimental Cancer Medicine Centre, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, CB2 2QQ, UK
| | - Carlos Caldas
- Department of Oncology, University of Cambridge and Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
- Cambridge Experimental Cancer Medicine Centre, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, CB2 2QQ, UK
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25
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Cook N, Frese KK, Bapiro TE, Jacobetz MA, Gopinathan A, Miller JL, Rao SS, Demuth T, Howat WJ, Jodrell DI, Tuveson DA. Gamma secretase inhibition promotes hypoxic necrosis in mouse pancreatic ductal adenocarcinoma. J Exp Med 2012; 209:437-44. [PMID: 22351932 PMCID: PMC3302221 DOI: 10.1084/jem.20111923] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2011] [Accepted: 01/23/2012] [Indexed: 12/31/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDA) is a highly lethal disease that is refractory to medical intervention. Notch pathway antagonism has been shown to prevent pancreatic preneoplasia progression in mouse models, but potential benefits in the setting of an established PDA tumor have not been established. We demonstrate that the gamma secretase inhibitor MRK003 effectively inhibits intratumoral Notch signaling in the KPC mouse model of advanced PDA. Although MRK003 monotherapy fails to extend the lifespan of KPC mice, the combination of MRK003 with the chemotherapeutic gemcitabine prolongs survival. Combination treatment kills tumor endothelial cells and synergistically promotes widespread hypoxic necrosis. These results indicate that the paucivascular nature of PDA can be exploited as a therapeutic vulnerability, and the dual targeting of the tumor endothelium and neoplastic cells by gamma secretase inhibition constitutes a rationale for clinical translation.
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Affiliation(s)
- Natalie Cook
- Cancer Research UK Cambridge Research Institute, Robinson Way, Cambridge CB2 0RE, England, UK
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26
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Lawson MH, Cummings NM, Rassl DM, Vowler SL, Wickens M, Howat WJ, Brenton JD, Murphy G, Rintoul RC. Bcl-2 and β1-integrin predict survival in a tissue microarray of small cell lung cancer. Br J Cancer 2010; 103:1710-5. [PMID: 21063403 PMCID: PMC2994222 DOI: 10.1038/sj.bjc.6605950] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Survival in small cell lung cancer (SCLC) is limited by the development of chemoresistance. Factors associated with chemoresistance in vitro have been difficult to validate in vivo. Both Bcl-2 and β(1)-integrin have been identified as in vitro chemoresistance factors in SCLC but their importance in patients remains uncertain. Tissue microarrays (TMAs) are useful to validate biomarkers but no large TMA exists for SCLC. We designed an SCLC TMA to study potential biomarkers of prognosis and then used it to clarify the role of both Bcl-2 and β(1)-integrin in SCLC. METHODS A TMA was constructed consisting of 184 cases of SCLC and stained for expression of Bcl-2 and β(1)-integrin. The slides were scored and the role of the proteins in survival was determined using Cox regression analysis. A meta-analysis of the role of Bcl-2 expression in SCLC prognosis was performed based on published results. RESULTS Both proteins were expressed at high levels in the SCLC cases. For Bcl-2 (n=140), the hazard ratio for death if the staining was weak in intensity was 0.55 (0.33-0.94, P=0.03) and for β(1)-integrin (n=151) was 0.60 (0.39-0.92, P=0.02). The meta-analysis showed an overall hazard ratio for low expression of Bcl-2 of 0.91(0.74-1.09). CONCLUSIONS Both Bcl-2 and β(1)-integrin are independent prognostic factors in SCLC in this cohort although further validation is required to confirm their importance. A TMA of SCLC cases is feasible but challenging and an important tool for biomarker validation.
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Affiliation(s)
- M H Lawson
- Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
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27
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Olive KP, Jacobetz M, Gopinathan A, Goldgraben M, Ireland H, Reichelt S, Howat WJ, Whitebread N, McGovern K, Adams J, Iacobuzio-Donahue C, Griffiths J, Tuveson D. Abstract PR2: Therapeutic intervention targeting a Hedgehog-dependent barrier to drug delivery in pancreatic cancer. Clin Cancer Res 2010. [DOI: 10.1158/1078-0432.tcmusa10-pr2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Ductal pancreatic tumors are unusually resistant to chemotherapy, exhibiting primary resistance to each of the numerous regimens tested to date. These tumors are also unusually desmoplastic and harbor a sparse and inefficient vasculature. The resulting lack of perfusion appears to play a role in the inefficient delivery of numerous chemotherapeutic agents to the parenchyma of pancreatic tumors. Recent evidence has implicated the sonic hedgehog pathway in promoting desmoplasia through a paracrine signaling mechanism active in pancreatic tumors of both humans and the Kras/p53/PdxCre (KPC) mouse model. We sought to evaluate the dependence of stromal desmoplasia on Hedgehog (Hh) pathway signaling and, by extension, assess the effects of Hh pathway inhibition on drug delivery and chemoresistance.
Using IPI-926, a semisynthetic inhibitor of the Smoothened protein, we found that stromal contribution was markedly diminished within 10 days of inhibition of the Hh pathway. Paradoxically, the depletion of stromal cells was coincident with an increase in microvessel density, despite previous data indicating a pro-angiogenic role for the Hh pathway. These non-cell autonomous changes resulted in an increase in the delivery of small molecules to KPC pancreatic tumors and an increase in apoptosis when administered in combination with gemcitabine. Ultimately, mice treated with both IPI-926 and gemcitabine had a significant extension of survival and a decrease in the incidence of liver metastases. We conclude that the Hh pathway plays an important role in the maintenance of pancreatic tumor stroma and that this contributes to the primary chemoresistance of pancreatic tumors. These data also support the clinical evaluation of agents that target the stroma in pancreatic cancer.
Citation Information: Clin Cancer Res 2010;16(14 Suppl):PR2.
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Affiliation(s)
- Kenneth P. Olive
- 1Columbia University Herbert Irving Comprehensive Cancer Center, New York, NY
| | - Michael Jacobetz
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
| | - Aarthi Gopinathan
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
| | - Mae Goldgraben
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
| | - Heather Ireland
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
| | - Stefanie Reichelt
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
| | - William J. Howat
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
| | | | | | | | | | - John Griffiths
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
| | - David Tuveson
- 2Cambridge Research Institute/CRUK, Cambridge, Cambs, United Kingdom
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Bolton KL, Garcia-Closas M, Pfeiffer RM, Duggan MA, Howat WJ, Hewitt SM, Yang XR, Cornelison R, Anzick SL, Meltzer P, Davis S, Lenz P, Figueroa JD, Pharoah PDP, Sherman ME. Assessment of automated image analysis of breast cancer tissue microarrays for epidemiologic studies. Cancer Epidemiol Biomarkers Prev 2010; 19:992-9. [PMID: 20332278 PMCID: PMC2852578 DOI: 10.1158/1055-9965.epi-09-1023] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND A major challenge in studies of etiologic heterogeneity in breast cancer has been the limited throughput, accuracy, and reproducibility of measuring tissue markers. Computerized image analysis systems may help address these concerns, but published reports of their use are limited. We assessed agreement between automated and pathologist scores of a diverse set of immunohistochemical assays done on breast cancer tissue microarrays (TMA). METHODS TMAs of 440 breast cancers previously stained for estrogen receptor (ER)-alpha, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), ER-beta, and aromatase were independently scored by two pathologists and three automated systems (TMALab II, TMAx, and Ariol). Agreement between automated and pathologist scores of negative/positive was measured using the area under the receiver operating characteristics curve (AUC) and weighted kappa statistics for categorical scores. We also investigated the correlation between immunohistochemical scores and mRNA expression levels. RESULTS Agreement between pathologist and automated negative/positive and categorical scores was excellent for ER-alpha and PR (AUC range = 0.98-0.99; kappa range = 0.86-0.91). Lower levels of agreement were seen for ER-beta categorical scores (AUC = 0.99-1.0; kappa = 0.80-0.86) and both negative/positive and categorical scores for aromatase (AUC = 0.85-0.96; kappa = 0.41-0.67) and HER2 (AUC = 0.94-0.97; kappa = 0.53-0.72). For ER-alpha and PR, there was a strong correlation between mRNA levels and automated (rho = 0.67-0.74) and pathologist immunohistochemical scores (rho = 0.67-0.77). HER2 mRNA levels were more strongly correlated with pathologist (rho = 0.63) than automated immunohistochemical scores (rho = 0.41-0.49). CONCLUSIONS Automated analysis of immunohistochemical markers is a promising approach for scoring large numbers of breast cancer tissues in epidemiologic investigations. This would facilitate studies of etiologic heterogeneity, which ultimately may allow improved risk prediction and better prevention approaches.
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Affiliation(s)
- Kelly L Bolton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, USA.
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Chowdhury F, Howat WJ, Phillips GJ, Lackie PM. Interactions between endothelial cells and epithelial cells in a combined cell model of airway mucosa: effects on tight junction permeability. Exp Lung Res 2010; 36:1-11. [DOI: 10.3109/01902140903026582] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Abstract
The traditional formaldehyde-fixed paraffin-embedded tissue, and therefore the tissue microarrays created from it, provide good morphology but with a compromised antigenicity when compared to frozen tissue. In contrast, while solving the issue of antigenicity, frozen tissue suffers from a lack of morphology. We have demonstrated that tissue microarrays constructed in glycol methacrylate resin, when combined with a cold acetone fixation step, have been able to combine the superior morphology of resin-embedded sections with the superior antigenicity of frozen tissue for prospectively collected material.
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Affiliation(s)
- William J Howat
- Histopathology/ISH facility, Li Ka Shing Centre, Cancer Research UK, Cambridge Research Institute, Cambridge, UK.
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Warren M, Chung YJ, Howat WJ, Harrison H, McGinnis R, Hao X, McCafferty J, Fredrickson TN, Bradley A, Morse HC. Irradiated Blm-deficient mice are a highly tumor prone model for analysis of a broad spectrum of hematologic malignancies. Leuk Res 2009; 34:210-20. [PMID: 19709744 DOI: 10.1016/j.leukres.2009.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2009] [Revised: 06/04/2009] [Accepted: 06/05/2009] [Indexed: 10/20/2022]
Abstract
Mutations in the BLM gene cause human Bloom syndrome (BS), an autosomal recessive disorder of growth retardation, immunodeficiency and cancer predisposition. Homozygous null Blm(m3/m3) mice are cancer prone with a 5-fold increased risk of cancer compared with Blm(m3/+) and Blm(+/+) mice. Irradiation of Blm(m3/m3) mice increased the risk to 28-fold. Tumors occurred mainly in the hematopoietic system and were similar to those in BS based on detailed histologic and immunohistochemical analyses. Irradiated Blm-deficient mice thus provide a novel model for understanding accelerated malignancies in BS and a new platform for investigating the molecular basis for a wide range of hematopoietic neoplasms.
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Affiliation(s)
- Madhuri Warren
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
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Olive KP, Jacobetz MA, Davidson CJ, Gopinathan A, McIntyre D, Honess D, Madhu B, Goldgraben MA, Caldwell ME, Allard D, Frese KK, Denicola G, Feig C, Combs C, Winter SP, Ireland-Zecchini H, Reichelt S, Howat WJ, Chang A, Dhara M, Wang L, Rückert F, Grützmann R, Pilarsky C, Izeradjene K, Hingorani SR, Huang P, Davies SE, Plunkett W, Egorin M, Hruban RH, Whitebread N, McGovern K, Adams J, Iacobuzio-Donahue C, Griffiths J, Tuveson DA. Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer. Science 2009. [PMID: 19460966 DOI: 10.1126/science.1171362.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDA) is among the most lethal human cancers in part because it is insensitive to many chemotherapeutic drugs. Studying a mouse model of PDA that is refractory to the clinically used drug gemcitabine, we found that the tumors in this model were poorly perfused and poorly vascularized, properties that are shared with human PDA. We tested whether the delivery and efficacy of gemcitabine in the mice could be improved by coadministration of IPI-926, a drug that depletes tumor-associated stromal tissue by inhibition of the Hedgehog cellular signaling pathway. The combination therapy produced a transient increase in intratumoral vascular density and intratumoral concentration of gemcitabine, leading to transient stabilization of disease. Thus, inefficient drug delivery may be an important contributor to chemoresistance in pancreatic cancer.
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Affiliation(s)
- Kenneth P Olive
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 ORE, UK
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33
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Olive KP, Jacobetz MA, Davidson CJ, Gopinathan A, McIntyre D, Honess D, Madhu B, Goldgraben MA, Caldwell ME, Allard D, Frese KK, Denicola G, Feig C, Combs C, Winter SP, Ireland-Zecchini H, Reichelt S, Howat WJ, Chang A, Dhara M, Wang L, Rückert F, Grützmann R, Pilarsky C, Izeradjene K, Hingorani SR, Huang P, Davies SE, Plunkett W, Egorin M, Hruban RH, Whitebread N, McGovern K, Adams J, Iacobuzio-Donahue C, Griffiths J, Tuveson DA. Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer. Science 2009; 324:1457-61. [PMID: 19460966 DOI: 10.1126/science.1171362] [Citation(s) in RCA: 2409] [Impact Index Per Article: 160.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDA) is among the most lethal human cancers in part because it is insensitive to many chemotherapeutic drugs. Studying a mouse model of PDA that is refractory to the clinically used drug gemcitabine, we found that the tumors in this model were poorly perfused and poorly vascularized, properties that are shared with human PDA. We tested whether the delivery and efficacy of gemcitabine in the mice could be improved by coadministration of IPI-926, a drug that depletes tumor-associated stromal tissue by inhibition of the Hedgehog cellular signaling pathway. The combination therapy produced a transient increase in intratumoral vascular density and intratumoral concentration of gemcitabine, leading to transient stabilization of disease. Thus, inefficient drug delivery may be an important contributor to chemoresistance in pancreatic cancer.
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Affiliation(s)
- Kenneth P Olive
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 ORE, UK
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34
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Olive KP, Jacobetz MA, Davidson CJ, Gopinathan A, McIntyre D, Honess D, Madhu B, Goldgraben MA, Caldwell ME, Allard D, Frese KK, Denicola G, Feig C, Combs C, Winter SP, Ireland-Zecchini H, Reichelt S, Howat WJ, Chang A, Dhara M, Wang L, Rückert F, Grützmann R, Pilarsky C, Izeradjene K, Hingorani SR, Huang P, Davies SE, Plunkett W, Egorin M, Hruban RH, Whitebread N, McGovern K, Adams J, Iacobuzio-Donahue C, Griffiths J, Tuveson DA. Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer. Science 2009. [PMID: 19460966 DOI: 10.1126/science.1171362.inhibition] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDA) is among the most lethal human cancers in part because it is insensitive to many chemotherapeutic drugs. Studying a mouse model of PDA that is refractory to the clinically used drug gemcitabine, we found that the tumors in this model were poorly perfused and poorly vascularized, properties that are shared with human PDA. We tested whether the delivery and efficacy of gemcitabine in the mice could be improved by coadministration of IPI-926, a drug that depletes tumor-associated stromal tissue by inhibition of the Hedgehog cellular signaling pathway. The combination therapy produced a transient increase in intratumoral vascular density and intratumoral concentration of gemcitabine, leading to transient stabilization of disease. Thus, inefficient drug delivery may be an important contributor to chemoresistance in pancreatic cancer.
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Affiliation(s)
- Kenneth P Olive
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 ORE, UK
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35
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Carreras J, Lopez-Guillermo A, Roncador G, Villamor N, Colomo L, Martinez A, Hamoudi R, Howat WJ, Montserrat E, Campo E. High Numbers of Tumor-Infiltrating Programmed Cell Death 1–Positive Regulatory Lymphocytes Are Associated With Improved Overall Survival in Follicular Lymphoma. J Clin Oncol 2009; 27:1470-6. [DOI: 10.1200/jco.2008.18.0513] [Citation(s) in RCA: 243] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Purpose Tumor microenvironment influences the behavior of follicular lymphoma (FL), although the specific cell subsets involved are not well known. The aim of this study was to determine the impact of programmed cell death 1 (PD-1) –positive inhibitory immunoregulatory lymphoid cells in the clinicobiologic features and outcome of patients with FL. Patients and Methods We examined samples from 100 patients (53 men and 47 women; median age, 54 years) at diagnosis, as well as in 32 patients at first relapse, with a recently generated monoclonal antibody against PD-1. The cells were quantified using computerized image analysis. Additional analysis consisted of double immunofluorescence and flow cytometry. Results PD-1 expression was alternative to FOXP3 in lymphoid cells from both reactive tonsils and FL. At diagnosis, the median percentage of PD-1–positive cells was 14% (range, 0.1% to 74%). Patients with grade 3 FL, poor performance status, and high serum lactate dehydrogenase showed lower numbers of PD-1–positive cells. After a median follow-up of 6.2 years, patients with PD-1–positive cells ≤ 5% (n = 25), 6% to 33% (n = 50), and more than 33% (n = 25) had a 5-year progression-free survival rate of 20%, 46%, and 48% (P = .038) and overall survival (OS) of 50%, 77%, and 95% (P = .004), respectively. PD-1 and FL International Prognostic Index maintained prognostic value for OS in multivariate analysis. Patients with PD-1–positive cells ≤ 5% showed a higher risk of histologic transformation. At that time, transformed diffuse large B-cell lymphomas had lower percentage of PD-1–positive cells than FL. Conclusion A high content of PD-1–positive cells predicted favorable outcome of FL patients, whereas a marked reduction is observed in transformation.
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Affiliation(s)
- Joaquim Carreras
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Armando Lopez-Guillermo
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Giovanna Roncador
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Neus Villamor
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Lluis Colomo
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Antonio Martinez
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Rifat Hamoudi
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - William J. Howat
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Emili Montserrat
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Elias Campo
- From the Hematopathology Section, Departments of Pathology and Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi-Sunyer, University of Barcelona, Barcelona; Centro Nacional de Investigaciones Oncológicas, Madrid, Spain; Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge; and Histopathology/In Situ Hybridization Facility, Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom
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Hurtado A, Holmes KA, Geistlinger TR, Hutcheson IR, Nicholson RI, Brown M, Jiang J, Howat WJ, Ali S, Carroll JS. Regulation of ERBB2 by oestrogen receptor-PAX2 determines response to tamoxifen. Nature 2008; 456:663-6. [PMID: 19005469 DOI: 10.1038/nature07483] [Citation(s) in RCA: 240] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2008] [Accepted: 10/02/2008] [Indexed: 02/08/2023]
Abstract
Crosstalk between the oestrogen receptor (ER) and ERBB2/HER-2 pathways has long been implicated in breast cancer aetiology and drug response, yet no direct connection at a transcriptional level has been shown. Here we show that oestrogen-ER and tamoxifen-ER complexes directly repress ERBB2 transcription by means of a cis-regulatory element within the ERBB2 gene in human cell lines. We implicate the paired box 2 gene product (PAX2), in a previously unrecognized role, as a crucial mediator of ER repression of ERBB2 by the anti-cancer drug tamoxifen. We show that PAX2 and the ER co-activator AIB-1/SRC-3 compete for binding and regulation of ERBB2 transcription, the outcome of which determines tamoxifen response in breast cancer cells. The repression of ERBB2 by ER-PAX2 links these two breast cancer subtypes and suggests that aggressive ERBB2-positive tumours can originate from ER-positive luminal tumours by circumventing this repressive mechanism. These data provide mechanistic insight into the molecular basis of endocrine resistance in breast cancer.
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Affiliation(s)
- Antoni Hurtado
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
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Schofield DJ, Pope AR, Clementel V, Buckell J, Chapple SD, Clarke KF, Conquer JS, Crofts AM, Crowther SRE, Dyson MR, Flack G, Griffin GJ, Hooks Y, Howat WJ, Kolb-Kokocinski A, Kunze S, Martin CD, Maslen GL, Mitchell JN, O'Sullivan M, Perera RL, Roake W, Shadbolt SP, Vincent KJ, Warford A, Wilson WE, Xie J, Young JL, McCafferty J. Application of phage display to high throughput antibody generation and characterization. Genome Biol 2008; 8:R254. [PMID: 18047641 PMCID: PMC2258204 DOI: 10.1186/gb-2007-8-11-r254] [Citation(s) in RCA: 172] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2007] [Revised: 07/30/2007] [Accepted: 11/29/2007] [Indexed: 12/16/2022] Open
Abstract
A phage display library has been constructed containing over 1010 human antibodies, allowing the large-scale generation of antibodies. Over 38,000 recombinant antibodies against 292 antigens were selected, screened and sequenced, and 4,400 resultant unique clones characterized further. We have created a high quality phage display library containing over 1010 human antibodies and describe its use in the generation of antibodies on an unprecedented scale. We have selected, screened and sequenced over 38,000 recombinant antibodies to 292 antigens, yielding over 7,200 unique clones. 4,400 antibodies were characterized by specificity testing and detailed sequence analysis and the data/clones are available online. Sensitive detection was demonstrated in a bead based flow cytometry assay. Furthermore, positive staining by immunohistochemistry on tissue microarrays was found for 37% (143/381) of antibodies. Thus, we have demonstrated the potential of and illuminated the issues associated with genome-wide monoclonal antibody generation.
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Howat WJ, Warford A, Mitchell JN, Clarke KF, Conquer JS, McCafferty J. Resin Tissue Microarrays: a Universal Format for Immunohistochemistry. J Histochem Cytochem 2005; 53:1189-97. [PMID: 15983117 DOI: 10.1369/jhc.5c6659.2005] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Tissue microarray (TMA) technology allows the miniaturization and characterization of multiple tissue samples on a single slide and commonly uses formalin-fixed paraffin-embedded (FFPE) tissue or acetone-fixed frozen tissue. The former provides good morphology but can compromise antigenicity, whereas the latter provides compromised morphology with good antigenicity. Here, we report the development of TMAs in glycol methacrylate resin, which combine the advantages of both methods in one embedding format. Freshly collected tissue fixed in -20C acetone or 10% neutral buffered formaldehyde were cored and arrayed into an intermediary medium of 2% agarose before infiltration of the agarose array with glycol methacrylate resin. Acetone-fixed resin TMA demonstrated improved morphology over acetone-fixed frozen TMA, with no loss of antigenicity. Staining for extracellular, cell surface, and nuclear antigens could be realized with monoclonal and polyclonal antibodies as well as with monomeric single-chain Fv preparations. In addition, when compared with FFPE TMA, formalin-fixed tissue in a resin TMA gave enhanced morphology and subcellular detail. Therefore, resin provides a universal format for the construction of TMAs, providing improved tissue morphology while retaining antigenicity, allows thin-section preparation, and could be used to replace preparation of frozen and FFPE TMAs for freshly collected tissue.
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Affiliation(s)
- William J Howat
- Atlas of Protein Expression Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK.
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Howat WJ, Barabás T, Holmes JA, Holgate ST, Lackie PM. Distribution of basement membrane pores in bronchus revealed by microscopy following epithelial removal. J Struct Biol 2002; 139:137-45. [PMID: 12457843 DOI: 10.1016/s1047-8477(02)00589-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The basement membrane of the bronchial epithelium separates the epithelial and mesenchymal compartments. Basement membrane pores allow cells to cross this boundary. We present a method for preparation of samples of human basement membrane allowing us easy visualisation and characterisation of the distribution and persistence of these pores. Columnar epithelial cells were removed from airway samples with gentle scraping with a circular glass coverslip. In contrast, the underlying basal cells required incubation once in dithiothreitol and twice in ethylenediaminetetraacetic acid. Scanning electron microscopy (SEM) at each stage of the epithelial stripping process showed the selective removal of epithelial cells with eventual visualisation of the pores. Using confocal microscopy on blocks of viable tissue, pores were shown to persist in culture for at least 5 days, despite the presence of viable cells in the submucosa. The distribution of pores in tissues determined by SEM was compared to simulations of three distribution patterns (random, clumped, and distributed). The pattern of pores in the samples was consistent with a random distribution. We suggest that basement membrane pores can be generated by the passage of infiltrating cells into the epithelium providing a network suitable for intraepithelial surveillance.
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Affiliation(s)
- William J Howat
- Respiratory, Cell and Molecular Biology, Division of Infection Inflammation and Repair, School of Medicine, University of Southampton, MP888, Level D, Centre Block, Southampton General Hospital, SO16 6YD, Southampton, UK.
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Abstract
Restitution of an epithelial layer after environmental or biological damage is important to maintain the normal function of the respiratory tract. We have investigated the role of transforming growth factor (TGF)-beta isoforms in the repair of layers of 16HBE 14o(-) bronchial epithelial-derived cells after damage by multiple scoring. ELISA showed that both latent TGF-beta1 and TGF-beta2 were converted to their active forms 2 h after wounding. Time-lapse microscopy showed that the addition of TGF-beta1, but not TGF-beta2, progressively increased the rate of migration of damaged monolayers at concentrations down to 250 pg/ml. This increase was blocked by addition of a neutralizing TGF-beta1 antibody. Phase-contrast microscopy and inhibition of proliferation with mitomycin C showed that proliferation was not required for migration. These results demonstrate that conversion of latent to active TGF-beta1 and TGF-beta2 during in vitro epithelial wound repair occurs quickly and that TGF-beta1 speeds epithelial repair. A faster repair may be advantageous in preventing access of environmental agents to the internal milieu of the lung although the production of active TGF-beta molecules may augment subepithelial fibrosis.
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Affiliation(s)
- William J Howat
- Division of Respiratory, Cell and Molecular Biology, School of Medicine, University of Southampton, United Kingdom.
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Abstract
This study reports the presence of oval-shaped pores in the basement membrane of the human bronchial airway that may be used as conduits for immune cells to traffic between the epithelial and mesenchymal compartments. Human bronchial mucosa collected after surgery was stripped of epithelial cells without damaging the basement membrane. Both scanning and transmission electron microscopy showed oval-shaped pores 0.75 to 3.85 microm in diameter in the bronchial basement membrane at a density of 863 pores/mm2. Transmission electron microscopy showed that the pores spanned the full depth of the basement membrane, with a concentration of collagen-like fibers at the lateral edges of the pore. Infiltrating cells apparently moved through the pores, both in the presence and absence of the epithelium. Taken together, these results suggest that immune cells use basement membrane pores as predefined routes to move between the epithelial and mesenchymal compartments without disruption of the basement membrane. As a persistent feature of the basement membrane, pores could facilitate inflammatory cell access to the epithelium and greatly increase the frequency of intercellular contact between trafficking cells.
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Affiliation(s)
- W J Howat
- Division of Respiratory Cell and Molecular Biology, School of Medicine, University of Southampton, Southampton, United Kingdom
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42
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Affiliation(s)
- W J Howat
- Department of Pathology, Southampton General Hospital, UK
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43
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Abstract
Sudden infant death syndrome (SIDS) is the most common cause of postneonatal mortality in the UK. Pathological investigations have shown evidence suggestive of respiratory obstruction with subsequent hypoxia leading to death. We examined 48 infants who died of SIDS and 30 who died of other, non-pulmonary, causes and identified pulmonary eosinophil and neutrophil leucocytes, mast cells, and T and B lymphocytes by immunocytochemistry. Positively stained cells were counted in the parenchyma and around the bronchi without knowledge of the tissue source. The results showed three times more eosinophils in the lungs of infants who died of SIDS (27.61 vs 7.91 [99% CI 1.76-5.87] cells/mm2 for parenchyma) accompanied by increased T lymphocytes and B lymphocytes. There were more peribronchial mast cells in the SIDS group (22.1 vs 14.7 [1.03-2.10] cells/mm2) and insignificant differences in neutrophils and parenchymal mast cells. There were significant associations between eosinophil, B lymphocyte, and T lymphocyte numbers. These findings provide evidence for an abnormal T lymphocyte-mediated pulmonary inflammatory response in SIDS. Products of eosinophil degranulation can cause epithelial damage and pulmonary oedema, which could cause the respiratory obstruction and hypoxia associated with SIDS.
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Affiliation(s)
- W J Howat
- University Pathology, University of Southampton, Southampton General Hospital, UK
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