177 results on '"Salto, A."'
Search Results
2. Identification of a prognostic signature in colorectal cancer using combinatorial algorithm‐driven analysis
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Abdo Alnabulsi, Tiehui Wang, Wei Pang, Marius Ionescu, Stephanie G Craig, Matthew P Humphries, Kris McCombe, Manuel Salto Tellez, Ayham Alnabulsi, and Graeme I Murray
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biomarker ,colorectal cancer ,combinatorial analysis ,combinatorial algorithm ,immunohistochemistry ,prognosis ,Pathology ,RB1-214 - Abstract
Abstract Colorectal carcinoma is one of the most common types of malignancy and a leading cause of cancer‐related death. Although clinicopathological parameters provide invaluable prognostic information, the accuracy of prognosis can be improved by using molecular biomarker signatures. Using a large dataset of immunohistochemistry‐based biomarkers (n = 66), this study has developed an effective methodology for identifying optimal biomarker combinations as a prognostic tool. Biomarkers were screened and assigned to related subsets before being analysed using an iterative algorithm customised for evaluating combinatorial interactions between biomarkers based on their combined statistical power. A signature consisting of six biomarkers was identified as the best combination in terms of prognostic power. The combination of biomarkers (STAT1, UCP1, p‐cofilin, LIMK2, FOXP3, and ICOS) was significantly associated with overall survival when computed as a linear variable (χ2 = 53.183, p
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- 2022
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3. Orthogonal MET analysis in a population‐representative stage II–III colon cancer cohort: prognostic and potential therapeutic implications
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Stephanie G. Craig, Svenja Mende, Matthew P. Humphries, Victoria Bingham, Amélie Viratham Pulsawatdi, Maurice B. Loughrey, Helen G. Coleman, Stephen McQuaid, Richard H. Wilson, Sandra Van Schaeybroeck, Jacqueline A. James, and Manuel Salto‐Tellez
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c‐MET IHC protein ,colon cancer ,MET amplification ,MET R970C mutation ,MET RNA‐ISH ,MET T992I mutation ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Clinical trials for MET inhibitors have demonstrated limited success for their use in colon cancer (CC). However, clinical efficacy may be obscured by a lack of standardisation in MET assessment for patient stratification. In this study, we aimed to determine the molecular context in which MET is deregulated in CC using a series of genomic and proteomic tests to define MET expression and identify patient subgroups that should be considered in future studies with MET‐targeted agents. To this aim, orthogonal expression analysis of MET was conducted in a population‐representative cohort of stage II/III CC patients (n = 240) diagnosed in Northern Ireland from 2004 to 2008. Targeted sequencing was used to determine the relative incidence of MET R970C and MET T992I mutations within the cohort. MET amplification was assessed using dual‐colour dual‐hapten brightfield in situ hybridisation (DDISH). Expression of transcribed MET and c‐MET protein within the cohort was assessed using digital image analysis on MET RNA in situ hybridisation (ISH) and c‐MET immunohistochemistry (IHC) stained slides. We found that less than 2% of the stage II/III CC patient population assessed demonstrated a genetic MET aberration. Determination of a high MET RNA‐ISH/low c‐MET IHC protein subgroup was found to be associated with poor 5‐year cancer‐specific outcomes compared to patients with concordant MET RNA‐ISH and c‐MET IHC protein expression (HR 2.12 [95%CI: 1.27–3.68]). The MET RNA‐ISH/c‐MET IHC protein biomarker paradigm identified in this study demonstrates that subtyping of MET expression may be required to identify MET‐addicted malignancies in CC patients who will truly benefit from MET inhibition.
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- 2021
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4. Colonic epithelial cathelicidin (LL‐37) expression intensity is associated with progression of colorectal cancer and presence of CD8+ T cell infiltrate
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Ross J Porter, Graeme I Murray, Abdo Alnabulsi, Matthew P Humphries, Jacqueline A James, Manuel Salto‐Tellez, Stephanie G Craig, Ji M Wang, Teizo Yoshimura, and Mairi H McLean
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colorectal cancer ,LL‐37 ,cathelicidin ,organoid ,lymphocytes ,Pathology ,RB1-214 - Abstract
Abstract Colorectal cancer (CRC) remains a leading cause of cancer mortality. Here, we define the colonic epithelial expression of cathelicidin (LL‐37) in CRC. Cathelicidin exerts pleotropic effects including anti‐microbial and immunoregulatory functions. Genetic knockout of cathelicidin led to increased size and number of colorectal tumours in the azoxymethane‐induced murine model of CRC. We aimed to translate this to human disease. The expression of LL‐37 in a large (n = 650) fully characterised cohort of treatment‐naïve primary human colorectal tumours and 50 matched normal mucosa samples with associated clinical and pathological data (patient age, gender, tumour site, tumour stage [UICC], presence or absence of extra‐mural vascular invasion, tumour differentiation, mismatch repair protein status, and survival to 18 years) was assessed by immunohistochemistry. The biological consequences of LL‐37 expression on the epithelial barrier and immune cell phenotype were assessed using targeted quantitative PCR gene expression of epithelial permeability (CLDN2, CLDN4, OCLN, CDH1, and TJP1) and cytokine (IL‐1β, IL‐18, IL‐33, IL‐10, IL‐22, and IL‐27) genes in a human colon organoid model, and CD3+, CD4+, and CD8+ lymphocyte phenotyping by immunohistochemistry, respectively. Our data reveal that loss of cathelicidin is associated with human CRC progression, with a switch in expression intensity an early feature of CRC. LL‐37 expression intensity is associated with CD8+ T cell infiltrate, influenced by tumour characteristics including mismatch repair protein status. There was no effect on epithelial barrier gene expression. These data offer novel insights into the contribution of LL‐37 to the pathogenesis of CRC and as a therapeutic molecule.
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- 2021
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5. A robust multiplex immunofluorescence and digital pathology workflow for the characterisation of the tumour immune microenvironment
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Amélie Viratham Pulsawatdi, Stephanie G. Craig, Victoria Bingham, Kris McCombe, Matthew P. Humphries, Seedevi Senevirathne, Susan D. Richman, Phil Quirke, Leticia Campo, Enric Domingo, Timothy S. Maughan, Jacqueline A. James, and Manuel Salto‐Tellez
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image analysis ,multiplex immunofluorescence ,opal methodology ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Multiplex immunofluorescence is a powerful tool for the simultaneous detection of tissue‐based biomarkers, revolutionising traditional immunohistochemistry. The Opal methodology allows up to eight biomarkers to be measured concomitantly without cross‐reactivity, permitting identification of different cell populations within the tumour microenvironment. In this study, we aimed to validate a multiplex immunofluorescence workflow in two complementary multiplex panels and evaluate the tumour immune microenvironment in colorectal cancer (CRC) formalin‐fixed paraffin‐embedded tissue. We stained CRC and tonsil samples using Opal multiplex immunofluorescence on a Leica BOND RX immunostainer. We then acquired images on an Akoya Vectra Polaris and performed multispectral unmixing using inform. Antibody panels were validated on tissue microarray sections containing cores from six normal tissue types, using qupath for image analysis. Comparisons between chromogenic immunohistochemistry and multiplex immunofluorescence on consecutive sections from the same tissue microarray showed significant correlation (rs > 0.9, P‐value
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- 2020
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6. Surgery Is Underused in Elderly Patients With Left‐Sided Infective Endocarditis: A Nationwide Registry Study
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Sigurdur Ragnarsson, Sonsoles Salto‐Alejandre, Axel Ström, Lars Olaison, and Magnus Rasmussen
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elderly ,infective endocarditis ,outcome ,valve surgery ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background Infective endocarditis is associated with higher mortality in elderly patients, but the role of surgery in this group has not been fully evaluated. The aim of this study was to assess outcomes of left‐sided infective endocarditis in elderly patients and to determine the influence of surgery on mortality in the elderly. Methods and Results A nationwide retrospective study was performed of 2186 patients with left‐sided infective endocarditis recorded in the SRIE (Swedish Registry of Infective Endocarditis), divided into patients aged
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- 2021
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7. Systematic evaluation of PAXgene® tissue fixation for the histopathological and molecular study of lung cancer
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Mark Southwood, Tomasz Krenz, Natasha Cant, Manisha Maurya, Jana Gazdova, Perry Maxwell, Claire McGready, Ellen Moseley, Susan Hughes, Peter Stewart, Manuel Salto‐Tellez, Daniel Groelz, Doris Rassl, and On behalf of the STRATfix Consortium
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Histopathology ,Lung Cancer ,Immunohistochemistry ,DNA sequencing ,Pathology ,RB1-214 - Abstract
Abstract Whilst adequate for most existing pathological tests, formalin is generally considered a poor DNA preservative and use of alternative fixatives may prove advantageous for molecular testing of tumour material; an increasingly common approach to identify targetable driver mutations in lung cancer patients. We collected paired PAXgene® tissue‐fixed and formalin‐fixed samples of block‐sized tumour and lung parenchyma, Temno‐needle core tumour biopsies and fine needle tumour aspirates (FNAs) from non‐small cell lung cancer resection specimens. Traditionally processed formalin fixed paraffin wax embedded (FFPE) samples were compared to paired PAXgene® tissue fixed paraffin‐embedded (PFPE) samples. We evaluated suitability for common laboratory tests (H&E staining and immunohistochemistry) and performance for downstream molecular investigations relevant to lung cancer, including RT‐PCR and next generation DNA sequencing (NGS). Adequate and comparable H&E staining was seen in all sample types and nuclear staining was preferable in PAXgene® fixed Temno tumour biopsies and tumour FNA samples. Immunohistochemical staining was broadly comparable. PFPE samples enabled greater yields of less‐fragmented DNA than FFPE comparators. PFPE samples were also superior for PCR and NGS performance, both in terms of quality control metrics and for variant calling. Critically we identified a greater number of genetic variants in the epidermal growth factor receptor gene when using PFPE samples and the Ingenuity® Variant Analysis pipeline. In summary, PFPE samples are adequate for histopathological diagnosis and suitable for the majority of existing laboratory tests. PAXgene® fixation is superior for DNA and RNA integrity, particularly in low‐yield samples and facilitates improved NGS performance, including the detection of actionable lung cancer mutations for precision medicine in lung cancer samples.
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- 2020
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8. Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study
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Azam, Ayesha S, primary, Tsang, Yee‐Wah, additional, Thirlwall, Jenny, additional, Kimani, Peter K, additional, Sah, Shatrughan, additional, Gopalakrishnan, Kishore, additional, Boyd, Clinton, additional, Loughrey, Maurice B, additional, Kelly, Paul J, additional, Boyle, David P, additional, Salto‐Tellez, Manuel, additional, Clark, David, additional, Ellis, Ian O, additional, Ilyas, Mohammad, additional, Rakha, Emad, additional, Bickers, Adam, additional, Roberts, Ian S D, additional, Soares, Maria F, additional, Neil, Desley A H, additional, Takyi, Abi, additional, Raveendran, Sinthuri, additional, Hero, Emily, additional, Evans, Harriet, additional, Osman, Rania, additional, Fatima, Khunsha, additional, Hughes, Rhian W, additional, McIntosh, Stuart A, additional, Moran, Gordon W, additional, Ortiz‐Fernandez‐Sordo, Jacobo, additional, Rajpoot, Nasir M, additional, Storey, Ben, additional, Ahmed, Imtiaz, additional, Dunn, Janet A, additional, Hiller, Louise, additional, and Snead, David R J, additional
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- 2024
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9. Training and accreditation standards for pathologists undertaking clinical trial work
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Gabrielle Rees, Manuel Salto‐Tellez, Jessica L Lee, Karin Oien, Clare Verrill, Alex Freeman, Ilaria Mirabile, Nicholas P West, and on behalf of the National Cancer Research Institute (NCRI) Cellular‐Molecular Pathology (CM‐Path) clinical trials working group
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clinical trials ,training and accreditation ,NCRI CM‐Path ,Pathology ,RB1-214 - Abstract
Abstract Clinical trials rely on multidisciplinary teams for successful delivery. Pathologists should be involved in clinical trial design from the outset to ensure that protocols are optimised to deliver maximum data collection and translational research opportunities. Clinical trials must be performed according to the principles of Good Clinical Practice (GCP) and the trial sponsor has an obligation to ensure that all of the personnel involved in the trial have undergone training relevant to their role. Pathologists who are involved in the delivery of clinical trials are often required to undergo formal GCP training and may additionally undergo Good Clinical Laboratory Practice training if they are involved in the laboratory analysis of trials samples. Further training can be provided via trial‐specific investigator meetings, which may be either multidisciplinary or discipline‐specific events. Pathologists should also ensure that they undertake External Quality Assurance schemes relevant to the area of diagnostic practice required in the trial. The level of engagement of pathologists in academia and clinical trials research has declined in the United Kingdom over recent years. This paper recommends the optimal training and accreditation for pathologists undertaking clinical trials activities with the aim of facilitating increased engagement. Clinical trials training should ideally be provided to all pathologists through centrally organised educational events, with additional training provided to pathologists in training through local postgraduate teaching. Pathologists in training should also be strongly encouraged to undertake GCP training. It is hoped that these recommendations will increase the number of pathologists who take part in clinical trials research in order to ensure a high level and standard of data collection and to maximise the translational research opportunities.
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- 2019
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10. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
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Page, David B, primary, Broeckx, Glenn, additional, Jahangir, Chowdhury Arif, additional, Verbandt, Sara, additional, Gupta, Rajarsi R, additional, Thagaard, Jeppe, additional, Khiroya, Reena, additional, Kos, Zuzana, additional, Abduljabbar, Khalid, additional, Acosta Haab, Gabriela, additional, Acs, Balazs, additional, Almeida, Jonas S, additional, Alvarado‐Cabrero, Isabel, additional, Azmoudeh‐Ardalan, Farid, additional, Badve, Sunil, additional, Baharun, Nurkhairul Bariyah, additional, Bellolio, Enrique R, additional, Bheemaraju, Vydehi, additional, Blenman, Kim RM, additional, Botinelly Mendonça Fujimoto, Luciana, additional, Burgues, Octavio, additional, Cheang, Maggie Chon U, additional, Ciompi, Francesco, additional, Cooper, Lee AD, additional, Coosemans, An, additional, Corredor, Germán, additional, Dantas Portela, Flavio Luis, additional, Deman, Frederik, additional, Demaria, Sandra, additional, Dudgeon, Sarah N, additional, Elghazawy, Mahmoud, additional, Ely, Scott, additional, Fernandez‐Martín, Claudio, additional, Fineberg, Susan, additional, Fox, Stephen B, additional, Gallagher, William M, additional, Giltnane, Jennifer M, additional, Gnjatic, Sacha, additional, Gonzalez‐Ericsson, Paula I, additional, Grigoriadis, Anita, additional, Halama, Niels, additional, Hanna, Matthew G, additional, Harbhajanka, Aparna, additional, Hardas, Alexandros, additional, Hart, Steven N, additional, Hartman, Johan, additional, Hewitt, Stephen, additional, Hida, Akira I, additional, Horlings, Hugo M, additional, Husain, Zaheed, additional, Hytopoulos, Evangelos, additional, Irshad, Sheeba, additional, Janssen, Emiel AM, additional, Kahila, Mohamed, additional, Kataoka, Tatsuki R, additional, Kawaguchi, Kosuke, additional, Kharidehal, Durga, additional, Khramtsov, Andrey I, additional, Kiraz, Umay, additional, Kirtani, Pawan, additional, Kodach, Liudmila L, additional, Korski, Konstanty, additional, Kovács, Anikó, additional, Laenkholm, Anne‐Vibeke, additional, Lang‐Schwarz, Corinna, additional, Larsimont, Denis, additional, Lennerz, Jochen K, additional, Lerousseau, Marvin, additional, Li, Xiaoxian, additional, Ly, Amy, additional, Madabhushi, Anant, additional, Maley, Sai K, additional, Manur Narasimhamurthy, Vidya, additional, Marks, Douglas K, additional, McDonald, Elizabeth S, additional, Mehrotra, Ravi, additional, Michiels, Stefan, additional, Minhas, Fayyaz ul Amir Afsar, additional, Mittal, Shachi, additional, Moore, David A, additional, Mushtaq, Shamim, additional, Nighat, Hussain, additional, Papathomas, Thomas, additional, Penault‐Llorca, Frederique, additional, Perera, Rashindrie D, additional, Pinard, Christopher J, additional, Pinto‐Cardenas, Juan Carlos, additional, Pruneri, Giancarlo, additional, Pusztai, Lajos, additional, Rahman, Arman, additional, Rajpoot, Nasir Mahmood, additional, Rapoport, Bernardo Leon, additional, Rau, Tilman T, additional, Reis‐Filho, Jorge S, additional, Ribeiro, Joana M, additional, Rimm, David, additional, Salomon, Anne‐Vincent, additional, Salto‐Tellez, Manuel, additional, Saltz, Joel, additional, Sayed, Shahin, additional, Siziopikou, Kalliopi P, additional, Sotiriou, Christos, additional, Stenzinger, Albrecht, additional, Sughayer, Maher A, additional, Sur, Daniel, additional, Symmans, Fraser, additional, Tanaka, Sunao, additional, Taxter, Timothy, additional, Tejpar, Sabine, additional, Teuwen, Jonas, additional, Thompson, E Aubrey, additional, Tramm, Trine, additional, Tran, William T, additional, van der Laak, Jeroen, additional, van Diest, Paul J, additional, Verghese, Gregory E, additional, Viale, Giuseppe, additional, Vieth, Michael, additional, Wahab, Noorul, additional, Walter, Thomas, additional, Waumans, Yannick, additional, Wen, Hannah Y, additional, Yang, Wentao, additional, Yuan, Yinyin, additional, Adams, Sylvia, additional, Bartlett, John Mark Seaverns, additional, Loibl, Sibylle, additional, Denkert, Carsten, additional, Savas, Peter, additional, Loi, Sherene, additional, Salgado, Roberto, additional, Specht Stovgaard, Elisabeth, additional, Akturk, Guray, additional, and Bouchmaa, Najat, additional
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- 2023
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11. Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: a report of the international immuno‐oncology biomarker working group
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Thagaard, Jeppe, primary, Broeckx, Glenn, additional, Page, David B, additional, Jahangir, Chowdhury Arif, additional, Verbandt, Sara, additional, Kos, Zuzana, additional, Gupta, Rajarsi, additional, Khiroya, Reena, additional, Abduljabbar, Khalid, additional, Acosta Haab, Gabriela, additional, Acs, Balazs, additional, Akturk, Guray, additional, Almeida, Jonas S, additional, Alvarado‐Cabrero, Isabel, additional, Amgad, Mohamed, additional, Azmoudeh‐Ardalan, Farid, additional, Badve, Sunil, additional, Baharun, Nurkhairul Bariyah, additional, Balslev, Eva, additional, Bellolio, Enrique R, additional, Bheemaraju, Vydehi, additional, Blenman, Kim RM, additional, Botinelly Mendonça Fujimoto, Luciana, additional, Bouchmaa, Najat, additional, Burgues, Octavio, additional, Chardas, Alexandros, additional, Chon U Cheang, Maggie, additional, Ciompi, Francesco, additional, Cooper, Lee AD, additional, Coosemans, An, additional, Corredor, Germán, additional, Dahl, Anders B, additional, Dantas Portela, Flavio Luis, additional, Deman, Frederik, additional, Demaria, Sandra, additional, Doré Hansen, Johan, additional, Dudgeon, Sarah N, additional, Ebstrup, Thomas, additional, Elghazawy, Mahmoud, additional, Fernandez‐Martín, Claudio, additional, Fox, Stephen B, additional, Gallagher, William M, additional, Giltnane, Jennifer M, additional, Gnjatic, Sacha, additional, Gonzalez‐Ericsson, Paula I, additional, Grigoriadis, Anita, additional, Halama, Niels, additional, Hanna, Matthew G, additional, Harbhajanka, Aparna, additional, Hart, Steven N, additional, Hartman, Johan, additional, Hauberg, Søren, additional, Hewitt, Stephen, additional, Hida, Akira I, additional, Horlings, Hugo M, additional, Husain, Zaheed, additional, Hytopoulos, Evangelos, additional, Irshad, Sheeba, additional, Janssen, Emiel AM, additional, Kahila, Mohamed, additional, Kataoka, Tatsuki R, additional, Kawaguchi, Kosuke, additional, Kharidehal, Durga, additional, Khramtsov, Andrey I, additional, Kiraz, Umay, additional, Kirtani, Pawan, additional, Kodach, Liudmila L, additional, Korski, Konstanty, additional, Kovács, Anikó, additional, Laenkholm, Anne‐Vibeke, additional, Lang‐Schwarz, Corinna, additional, Larsimont, Denis, additional, Lennerz, Jochen K, additional, Lerousseau, Marvin, additional, Li, Xiaoxian, additional, Ly, Amy, additional, Madabhushi, Anant, additional, Maley, Sai K, additional, Manur Narasimhamurthy, Vidya, additional, Marks, Douglas K, additional, McDonald, Elizabeth S, additional, Mehrotra, Ravi, additional, Michiels, Stefan, additional, Minhas, Fayyaz ul Amir Afsar, additional, Mittal, Shachi, additional, Moore, David A, additional, Mushtaq, Shamim, additional, Nighat, Hussain, additional, Papathomas, Thomas, additional, Penault‐Llorca, Frederique, additional, Perera, Rashindrie D, additional, Pinard, Christopher J, additional, Pinto‐Cardenas, Juan Carlos, additional, Pruneri, Giancarlo, additional, Pusztai, Lajos, additional, Rahman, Arman, additional, Rajpoot, Nasir Mahmood, additional, Rapoport, Bernardo Leon, additional, Rau, Tilman T, additional, Reis‐Filho, Jorge S, additional, Ribeiro, Joana M, additional, Rimm, David, additional, Roslind, Anne, additional, Vincent‐Salomon, Anne, additional, Salto‐Tellez, Manuel, additional, Saltz, Joel, additional, Sayed, Shahin, additional, Scott, Ely, additional, Siziopikou, Kalliopi P, additional, Sotiriou, Christos, additional, Stenzinger, Albrecht, additional, Sughayer, Maher A, additional, Sur, Daniel, additional, Fineberg, Susan, additional, Symmans, Fraser, additional, Tanaka, Sunao, additional, Taxter, Timothy, additional, Tejpar, Sabine, additional, Teuwen, Jonas, additional, Thompson, E Aubrey, additional, Tramm, Trine, additional, Tran, William T, additional, van der Laak, Jeroen, additional, van Diest, Paul J, additional, Verghese, Gregory E, additional, Viale, Giuseppe, additional, Vieth, Michael, additional, Wahab, Noorul, additional, Walter, Thomas, additional, Waumans, Yannick, additional, Wen, Hannah Y, additional, Yang, Wentao, additional, Yuan, Yinyin, additional, Zin, Reena Md, additional, Adams, Sylvia, additional, Bartlett, John, additional, Loibl, Sibylle, additional, Denkert, Carsten, additional, Savas, Peter, additional, Loi, Sherene, additional, Salgado, Roberto, additional, and Specht Stovgaard, Elisabeth, additional
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- 2023
- Full Text
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12. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group
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Thagaard, J, Broeckx, G, Page, DB, Jahangir, CA, Verbandt, S, Kos, Z, Gupta, R, Khiroya, R, Abduljabbar, K, Acosta Haab, G, Acs, B, Akturk, G, Almeida, JS, Alvarado-Cabrero, I, Amgad, M, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Balslev, E, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Bouchmaa, N, Burgues, O, Chardas, A, Cheang, MU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dahl, AB, Dantas Portela, FL, Deman, F, Demaria, S, Dore Hansen, J, Dudgeon, SN, Ebstrup, T, Elghazawy, M, Fernandez-Martin, C, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hauberg, S, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Roslind, A, Vincent-Salomon, A, Salto-Tellez, M, Saltz, J, Sayed, S, Scott, E, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Fineberg, S, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Zin, RM, Adams, S, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Thagaard, J, Broeckx, G, Page, DB, Jahangir, CA, Verbandt, S, Kos, Z, Gupta, R, Khiroya, R, Abduljabbar, K, Acosta Haab, G, Acs, B, Akturk, G, Almeida, JS, Alvarado-Cabrero, I, Amgad, M, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Balslev, E, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Bouchmaa, N, Burgues, O, Chardas, A, Cheang, MU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dahl, AB, Dantas Portela, FL, Deman, F, Demaria, S, Dore Hansen, J, Dudgeon, SN, Ebstrup, T, Elghazawy, M, Fernandez-Martin, C, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hauberg, S, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Roslind, A, Vincent-Salomon, A, Salto-Tellez, M, Saltz, J, Sayed, S, Scott, E, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Fineberg, S, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Zin, RM, Adams, S, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, and Specht Stovgaard, E
- Published
- 2023
13. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer
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Page, DB, Broeckx, G, Jahangir, CA, Jahangir, C, Verbandt, S, Gupta, RR, Thagaard, J, Khiroya, R, Kos, Z, Abduljabbar, K, Acosta Haab, G, Acs, B, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Burgues, O, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dantas Portela, FL, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Ely, S, Fernandez-Martin, C, Fineberg, S, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hardas, A, Hart, SN, Hartman, J, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Salomon, A-V, Salto-Tellez, M, Saltz, J, Sayed, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Adams, S, Bartlett, JMS, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Akturk, G, Bouchmaa, N, Page, DB, Broeckx, G, Jahangir, CA, Jahangir, C, Verbandt, S, Gupta, RR, Thagaard, J, Khiroya, R, Kos, Z, Abduljabbar, K, Acosta Haab, G, Acs, B, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Burgues, O, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dantas Portela, FL, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Ely, S, Fernandez-Martin, C, Fineberg, S, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hardas, A, Hart, SN, Hartman, J, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Salomon, A-V, Salto-Tellez, M, Saltz, J, Sayed, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Adams, S, Bartlett, JMS, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Akturk, G, and Bouchmaa, N
- Published
- 2023
14. Identification of a prognostic signature in colorectal cancer using combinatorial algorithm‐driven analysis
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Alnabulsi, Abdo, primary, Wang, Tiehui, additional, Pang, Wei, additional, Ionescu, Marius, additional, Craig, Stephanie G, additional, Humphries, Matthew P, additional, McCombe, Kris, additional, Salto Tellez, Manuel, additional, Alnabulsi, Ayham, additional, and Murray, Graeme I, additional
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- 2022
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15. Orthogonal MET analysis in a population‐representative stage II–III colon cancer cohort: prognostic and potential therapeutic implications
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Craig, Stephanie G., primary, Mende, Svenja, additional, Humphries, Matthew P., additional, Bingham, Victoria, additional, Viratham Pulsawatdi, Amélie, additional, Loughrey, Maurice B., additional, Coleman, Helen G., additional, McQuaid, Stephen, additional, Wilson, Richard H., additional, Van Schaeybroeck, Sandra, additional, James, Jacqueline A., additional, and Salto‐Tellez, Manuel, additional
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- 2021
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16. Colonic epithelial cathelicidin (LL‐37) expression intensity is associated with progression of colorectal cancer and presence of CD8+ T cell infiltrate
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Porter, Ross J, primary, Murray, Graeme I, additional, Alnabulsi, Abdo, additional, Humphries, Matthew P, additional, James, Jacqueline A, additional, Salto‐Tellez, Manuel, additional, Craig, Stephanie G, additional, Wang, Ji M, additional, Yoshimura, Teizo, additional, and McLean, Mairi H, additional
- Published
- 2021
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17. Validation of the systematic scoring of immunohistochemically stained tumour tissue microarrays using QuPath digital image analysis
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Jacqueline James, Philip D Dunne, Peter Hamilton, Amy M.B. McCorry, Manuel Salto-Tellez, Stephanie G Craig, Maurice B Loughrey, Stephen McQuaid, Helen G. Coleman, Peter Bankhead, Ronan T. Gray, and Ryan S Hagan
- Subjects
0301 basic medicine ,medicine.medical_specialty ,Histology ,Colorectal cancer ,Pathology and Forensic Medicine ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Image Interpretation, Computer-Assisted ,Biomarkers, Tumor ,Humans ,Medicine ,Raw score ,Reproducibility ,Pathology, Clinical ,Tissue microarray ,business.industry ,Hazard ratio ,Reproducibility of Results ,Digital pathology ,General Medicine ,medicine.disease ,Immunohistochemistry ,030104 developmental biology ,Tissue Array Analysis ,030220 oncology & carcinogenesis ,Colonic Neoplasms ,Cohort ,Biomarker (medicine) ,Radiology ,business - Abstract
AIMS: Output from biomarker studies involving immunohistochemistry applied to tissue microarrays (TMA) is limited by the lack of an efficient and reproducible scoring methodology. In this study, we examine the functionality and reproducibility of biomarker scoring using the new, open-source, digital image analysis software, QuPath.METHODS AND RESULTS: Three different reviewers, with varying experience of digital pathology and image analysis, applied an agreed QuPath scoring methodology to CD3 and p53 immunohistochemically stained TMAs from a colon cancer cohort (n = 661). Manual assessment was conducted by one reviewer for CD3. Survival analyses were conducted and intra- and interobserver reproducibility assessed. Median raw scores differed significantly between reviewers, but this had little impact on subsequent analyses. Lower CD3 scores were detected in cases who died from colorectal cancer compared to control cases, and this finding was significant for all three reviewers (P-value range = 0.002-0.02). Higher median p53 scores were generated among cases who died from colorectal cancer compared with controls (P-value range = 0.04-0.12). The ability to dichomotise cases into high versus low expression of CD3 and p53 showed excellent agreement between all three reviewers (kappa score range = 0.82-0.93). All three reviewers produced dichotomised expression scores that resulted in very similar hazard ratios for colorectal cancer-specific survival for each biomarker. Results from manual and QuPath methods of CD3 scoring were comparable, but QuPath scoring revealed stronger prognostic stratification.CONCLUSIONS: Scoring of immunohistochemically stained tumour TMAs using QuPath is functional and reproducible, even among users of limited experience of digital pathology images, and more accurate than manual scoring.
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- 2018
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18. A gene signature associated with PTEN activation defines good prognosis intermediate risk prostate cancer cases
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Muhammad A Alvi, Manuel Salto-Tellez, Chee Wee Ong, Pamela J. Maxwell, Stephen McQuaid, David Waugh, and Ian G. Mills
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0301 basic medicine ,Oncology ,medicine.medical_specialty ,biology ,business.industry ,Methylation ,Gene signature ,medicine.disease ,3. Good health ,Pathology and Forensic Medicine ,Gene expression profiling ,03 medical and health sciences ,Prostate cancer ,030104 developmental biology ,0302 clinical medicine ,medicine.anatomical_structure ,Prostate ,030220 oncology & carcinogenesis ,Internal medicine ,Gene expression ,biology.protein ,Medicine ,PTEN ,Immunohistochemistry ,business - Abstract
Accurate identification of intermediate risk (Gleason 3 + 4 = 7) prostate cancer patients with low risk of disease progression is an unmet challenge in treatment decision making. Here we describe a gene signature that could guide clinicians in the selection of patients with intermediate stage clinically localized prostate cancer for active surveillance. We examined six major drivers of aggressive disease – PTEN, MYC, RB1, TP53, AURKA, AR – by immunohistochemistry in a focused (N = 69) cohort predominantly consisting of intermediate risk prostate cancer. Fuzzy clustering and unsupervised hierarchical clustering were utilized to determine the correlation of gene expression and methylation values with immunohistochemical expression. From the immunohistochemistry observation, we found that intermediate risk prostate cancer cases could be classified as ‘complex’ (differential expression of more than one driver) or ‘simple’ (differential expression of only one). Focussing on the ‘simple’ cases, expression and methylation profiling generated signatures which correlated tightly only with differential PTEN expression and not with any of the other drivers assessed by immunohistochemistry. From this, we derived a geneset of 35 genes linked to high PTEN expression. Subsequently we determined its prognostic significance in intermediate-risk cases extracted from three publicly available clinical datasets (Total N = 215). Hence, this study shows that, by using immunohistochemistry as an upfront stratifier of intermediate risk prostate cancers, it is possible to identify through differential gene expression profiling a geneset with prognostic power across multiple cohorts. This strategy has not been used previously and the signature has the potential to impact on treatment decisions in patients for whom decision making is currently empirical at best.
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- 2018
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19. Identifying mismatch repair‐deficient colon cancer: near‐perfect concordance between immunohistochemistry and microsatellite instability testing in a large, population‐based series
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Loughrey, Maurice B, primary, McGrath, Jason, additional, Coleman, Helen G, additional, Bankhead, Peter, additional, Maxwell, Perry, additional, McGready, Claire, additional, Bingham, Victoria, additional, Humphries, Matthew P, additional, Craig, Stephanie G, additional, McQuaid, Stephen, additional, Salto‐Tellez, Manuel, additional, and James, Jacqueline A, additional
- Published
- 2020
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20. A robust multiplex immunofluorescence and digital pathology workflow for the characterisation of the tumour immune microenvironment
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Viratham Pulsawatdi, Amélie, primary, Craig, Stephanie G., additional, Bingham, Victoria, additional, McCombe, Kris, additional, Humphries, Matthew P., additional, Senevirathne, Seedevi, additional, Richman, Susan D., additional, Quirke, Phil, additional, Campo, Leticia, additional, Domingo, Enric, additional, Maughan, Timothy S., additional, James, Jacqueline A., additional, and Salto‐Tellez, Manuel, additional
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- 2020
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21. Low‐contact and high‐interconnectivity pathology (LC&HI Path): post‐COVID19‐pandemic practice of pathology
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Arends, Mark J, primary and Salto‐Tellez, Manuel, additional
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- 2020
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22. Gastrointestinal tissue‐based molecular biomarkers: a practical categorisation based on the 2019 World Health Organization classification of epithelial digestive tumours
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Quezada‐Marín, Javier I, primary, Lam, Alfred K, additional, Ochiai, Atsushi, additional, Odze, Robert D, additional, Washington, Kay M, additional, Fukayama, Masashi, additional, Rugge, Massimo, additional, Klimstra, David S, additional, Nagtegaal, Iris D, additional, Tan, Puay‐Hoon, additional, Arends, Mark J, additional, Goldblum, John R, additional, Cree, Ian A, additional, and Salto‐Tellez, Manuel, additional
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- 2020
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23. Musculoskeletal Ultrasound Instruction in Adult Rheumatology Fellowship Programs
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Torralba, Karina D., primary, Cannella, Amy C., additional, Kissin, Eugene Y., additional, Bolster, Marcy B., additional, Salto, Lorena M., additional, Higgs, Jay, additional, Samuels, Jonathan, additional, Nishio, Midori Jane, additional, Kaeley, Gurjit S., additional, Evangelisto, Amy, additional, De Marco, Paul, additional, and Kohler, Minna J., additional
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- 2020
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24. Training in molecular cytopathology testing
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Manuel Salto-Tellez and Perry Maxwell
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0301 basic medicine ,Histology ,Emerging technologies ,Service delivery framework ,Cytodiagnosis ,Health Personnel ,education ,Training (civil) ,Pathology and Forensic Medicine ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,Relevance (information retrieval) ,Pathology, Molecular ,Precision Medicine ,Curriculum ,Medical education ,business.industry ,General Medicine ,Skill development ,Precision medicine ,030104 developmental biology ,030220 oncology & carcinogenesis ,Workforce ,business ,Ireland - Abstract
Training in molecular cytopathology testing is essential in developing and maintaining skills in modern molecular technologies as they are introduced to a universal health care system such as extant in the UK and elsewhere. We review the system in place in Northern Ireland (NI) for molecular testing of solid tumours, as an example to train staff of all grades, including pathologists, clinical scientists, biomedical scientists and equivalent technical grades. We describe training of pathologists as part of the NI Deanery medical curriculum, the NI training programme for scientists and laboratory rotation for Biomedical Scientists. Collectively, the aims of our training are two-fold: to provide a means by which individuals may extend their experience and skills; and to provide and maintain a skilled workforce for service delivery. Through training and competency, we introduce new technologies and tests in response to personalised medicine therapies with a competent workforce. We advocate modifying programmes to suit individual needs for skill development, with formalised courses in pre-analytical, analytical and postanalytical demands of modern molecular pathology. This is of particular relevance for cytopathology in small samples such those from formalin-fixed paraffin-embedded cell blocks. We finally introduce how university courses can augment training and develop a skilled workforce to benefit the delivery of services to our patients.
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- 2017
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25. Consistency and reproducibility of next-generation sequencing and other multigene mutational assays: A worldwide ring trial study on quantitative cytological molecular reference specimens
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Fulvio Basolo, Sinchita Roy-Chowdhuri, Gilda da Cunha Santos, Giancarlo Troncone, Clara Mayo-de-las-Casas, Carlos E. de Andrea, Dario de Biase, Alessandra Rappa, Pasquale Pisapia, Sara Vander Borght, Lukas Bubendorf, Fernando Schmitt, Rajyalakshmi Luthra, Suzanne Kamel-Reid, Giovanni Tallini, Miguel Angel Molina-Vila, Elena Vigliar, Massimo Barberis, Lynette M. Sholl, Massimo Bongiovanni, Maria D. Lozano, Daniel Stieber, Gabriella Fontanini, Manuel Salto-Tellez, Umberto Malapelle, Philippe Vielh, Edoardo Missiaglia, Claudio Bellevicine, Francesco Pepe, Michel Bihl, Marina N. Nikiforova, Yuri E. Nikiforov, Rafael Rosell, Nicola Serra, David H. Hwang, Birgit Weynand, Massimo Rugge, Spasenija Savic, and Matteo Fassan
- Subjects
0301 basic medicine ,Genetics ,Neuroblastoma RAS viral oncogene homolog ,Cancer Research ,Cancer ,Ion semiconductor sequencing ,Biology ,medicine.disease ,medicine.disease_cause ,Molecular biology ,DNA sequencing ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Oncology ,030220 oncology & carcinogenesis ,DNA Mutational Analysis ,medicine ,Mutation testing ,KRAS ,Allele frequency - Abstract
BACKGROUND Molecular testing of cytological lung cancer specimens includes, beyond epidermal growth factor receptor (EGFR), emerging predictive/prognostic genomic biomarkers such as Kirsten rat sarcoma viral oncogene homolog (KRAS), neuroblastoma RAS viral [v-ras] oncogene homolog (NRAS), B-Raf proto-oncogene, serine/threonine kinase (BRAF), and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α (PIK3CA). Next-generation sequencing (NGS) and other multigene mutational assays are suitable for cytological specimens, including smears. However, the current literature reflects single-institution studies rather than multicenter experiences. METHODS Quantitative cytological molecular reference slides were produced with cell lines designed to harbor concurrent mutations in the EGFR, KRAS, NRAS, BRAF, and PIK3CA genes at various allelic ratios, including low allele frequencies (AFs; 1%). This interlaboratory ring trial study included 14 institutions across the world that performed multigene mutational assays, from tissue extraction to data analysis, on these reference slides, with each laboratory using its own mutation analysis platform and methodology. RESULTS All laboratories using NGS (n = 11) successfully detected the study's set of mutations with minimal variations in the means and standard errors of variant fractions at dilution points of 10% (P = .171) and 5% (P = .063) despite the use of different sequencing platforms (Illumina, Ion Torrent/Proton, and Roche). However, when mutations at a low AF of 1% were analyzed, the concordance of the NGS results was low, and this reflected the use of different thresholds for variant calling among the institutions. In contrast, laboratories using matrix-assisted laser desorption/ionization–time of flight (n = 2) showed lower concordance in terms of mutation detection and mutant AF quantification. CONCLUSIONS Quantitative molecular reference slides are a useful tool for monitoring the performance of different multigene mutational assays, and this could lead to better standardization of molecular cytopathology procedures. Cancer Cytopathol 2017;125:615-26. © 2017 American Cancer Society.
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- 2017
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26. Effects of Omega‐3 Polyunsaturated Fatty‐Acid Supplementation on Neuropathic Pain Symptoms and Sphingosine Levels in Mexican‐Americans with Type 2 Diabetes
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Anthony Firek, Yvette Paquien, Justin Camara, Zaida Cordero-MacIntyre, Lawrence Beeson, Alfonso M. Durán, Lorena M. Salto, Marino De Leon, and Anamika Basu
- Subjects
medicine.medical_specialty ,Sphingosine ,business.industry ,Type 2 diabetes ,Mexican americans ,medicine.disease ,Biochemistry ,chemistry.chemical_compound ,Endocrinology ,Polyunsaturated fatty acid supplementation ,chemistry ,Internal medicine ,Neuropathic pain ,Genetics ,medicine ,business ,Molecular Biology ,Biotechnology - Published
- 2019
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27. The use of digital pathology and image analysis in clinical trials
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Pell, R, Oien, K, Robinson, M, Pitman, H, Rajpoot, N, Rittscher, J, Snead, D, Verrill, C, Driskell, OJ, Hall, A, James, J, Jones, LJ, Craig, C, Sloan, P, Thomas, GJ, Elliott, P, Cheang, M, Rodriguez-Justo, M, Rees, G, Salto-Tellez, M, West, N, Mirabile, I, Howlett, E, Stevenson, L, da Silva, M, Hartridge-Lambert, S, Beecham, JM, Traub, S, Katugampola, S, Blagden, S, and Morden, J
- Abstract
Digital pathology and image analysis potentially provide greater accuracy, reproducibility and standardisation of pathology‐based trial entry criteria and endpoints, alongside extracting new insights from both existing and novel features. Image analysis has great potential to identify, extract and quantify features in greater detail in comparison to pathologist assessment, which may produce improved prediction models or perform tasks beyond manual capability. In this article, we provide an overview of the utility of such technologies in clinical trials and provide a discussion of the potential applications, current challenges, limitations and remaining unanswered questions that require addressing prior to routine adoption in such studies. We reiterate the value of central review of pathology in clinical trials, and discuss inherent logistical, cost and performance advantages of using a digital approach. The current and emerging regulatory landscape is outlined. The role of digital platforms and remote learning to improve the training and performance of clinical trial pathologists is discussed. The impact of image analysis on quantitative tissue morphometrics in key areas such as standardisation of immunohistochemical stain interpretation, assessment of tumour cellularity prior to molecular analytical applications and the assessment of novel histological features is described. The standardisation of digital image production, establishment of criteria for digital pathology use in pre‐clinical and clinical studies, establishment of performance criteria for image analysis algorithms and liaison with regulatory bodies to facilitate incorporation of image analysis applications into clinical practice are key issues to be addressed to improve digital pathology incorporation into clinical trials.
- Published
- 2019
28. Validation of immunocytochemistry as a morphomolecular technique
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Perry Maxwell and Manuel Salto-Tellez
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0301 basic medicine ,Cancer Research ,Pathology ,medicine.medical_specialty ,Molecular pathology ,business.industry ,Test quality ,Immunocytochemistry ,Molecular diagnostics ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Oncology ,030220 oncology & carcinogenesis ,medicine ,Immunohistochemistry ,Radiology ,business ,Fixation (histology) - Abstract
Immunocytochemistry (ICC) is a long-established means for clinical laboratories to investigate material for which it is difficult to obtain tissue samples. Unlike immunohistochemistry (IHC), the cells do not retain surrounding tissue environment/architecture. This can be of benefit in that fixation is often immediate and rapid, protecting the cells. Although fixation is frequently observed as the main preanalytic variable of test quality, all cytology preanalytic factors should be identified and controlled. In addition, the validation of ICC should take the same rigorous approach that other molecular pathology techniques follow. A three-step validation protocol is offered here. The end result is a comprehensive, morphomolecular approach to ICC, with an emphasis on therapeutic ICC. Cancer Cytopathol 2016;124:540-5. © 2016 American Cancer Society.
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- 2016
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29. Respiratory syncytial virus acute respiratory infection‐associated hospitalizations in preterm Mexican infants: A cohort study
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Benítez‐Guerra, Daniela, primary, Piña‐Flores, Cecilia, additional, Zamora‐López, Miguel, additional, Escalante‐Padrón, Francisco, additional, Lima‐Rogel, Victoria, additional, González‐Ortiz, Ana María, additional, Guevara‐Tovar, Marcela, additional, Bernal‐Silva, Sofía, additional, Benito‐Cruz, Beatriz, additional, Castillo‐Martínez, Fernanda, additional, Martínez‐Rodríguez, Luz E., additional, Ramírez‐Ojeda, Vianney, additional, Tello‐Martínez, Nallely, additional, Lomelí‐Valdez, Rodrigo, additional, Salto‐Quintana, Jack, additional, Cadena‐Mota, Sandra, additional, and Noyola, Daniel E., additional
- Published
- 2020
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30. Effects of Omega‐3 Polyunsaturated Fatty‐Acid Supplementation on Neuropathic Pain Symptoms and Sphingosine Levels in Mexican‐Americans with Type 2 Diabetes
- Author
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Duran, Alfonso, primary, Salto, Lorena, additional, Camara, Justin, additional, Basu, Anamika, additional, Paquien, Yvette, additional, Beeson, Lawrence, additional, Firek, Anthony, additional, Cordero‐MacIntyre, Zaida, additional, and De Leon, Marino, additional
- Published
- 2019
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31. Prevalence of entomophthoralean fungi (Entomophthoromycota) of aphids in relation to developmental stages
- Author
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Alejandra Concepción Gutierrez, Claudia Cristina Lopez Lastra, Cesar E. Salto, Manuel Enrique Rueda Páramo, and Romina Guadalupe Manfrino
- Subjects
0106 biological sciences ,0301 basic medicine ,food.ingredient ,Lactuca ,01 natural sciences ,Crop ,03 medical and health sciences ,food ,Botany ,Nymph ,Botrytis ,Entomophthoromycota ,biology ,Host (biology) ,fungi ,food and beverages ,Aphididae ,General Medicine ,biochemical phenomena, metabolism, and nutrition ,030108 mycology & parasitology ,biology.organism_classification ,010602 entomology ,Horticulture ,Insect Science ,Entomophthorales ,Agronomy and Crop Science - Abstract
BACKGROUND Transmission of fungal pathogens of aphids may be affected by the host developmental stage. Brassica and Lactuca sativa L. crops were sampled in Santa Fe, Argentina, to determine the prevalence of fungal-diseased aphids and investigate the differences between developmental stages of aphids. RESULTS The fungal pathogens identified were Zoophthora radicans (Bref.) A. Batko, Pandora neoaphidis (Remaud. & Hennebert) Humber and Entomophthora planchoniana Cornu. Their prevalence on each crop was calculated. The numbers of infected aphids were significantly different between the different developmental stages on all crops except B. oleracea var. botrytis L. CONCLUSIONS The entomophthoralean fungi identified are important mortality factors of aphids on horticultural crops in Santa Fe. The numbers of infected nymphs and adults were significantly different, nymphs being the most affected developmental stage. © 2015 Society of Chemical Industry.
- Published
- 2016
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32. Delivering a research-enabled multistakeholder partnership for enhanced patient care at a population level: The Northern Ireland Comprehensive Cancer Program
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Margaret Grayson, Anna Gavin, Tracy Robson, Jacqueline James, Manuel Salto-Tellez, Kevin M. Prise, Robert D. Ladner, Liam J. Murray, David Waugh, Peter W. Hamilton, Patrick G. Johnston, Richard D. Kennedy, Darragh G. McArt, Ruth Boyd, Richard H. Wilson, Sandra Van Schaeybroeck, Tim Harrison, Mark Lawler, Joe M. O'Sullivan, and Denis Paul Harkin
- Subjects
0301 basic medicine ,Cancer Research ,Government ,Population level ,business.industry ,Northern ireland ,Precision medicine ,Ethos ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Transformative learning ,Oncology ,Nursing ,030220 oncology & carcinogenesis ,General partnership ,Health care ,Medicine ,business ,health care economics and organizations - Abstract
The last 20 years have seen significant advances in cancer care in Northern Ireland, leading to measureable improvements in patient outcomes. Crucial to this transformation has been an ethos that recognizes the primacy role of research in effecting heath care change. The authors' model of a cross‐sectoral partnership that unites patients, scientists, health care professionals, hospital trusts, bioindustry, and government agencies can be truly transformative, empowering tripartite clinical‐academic‐industry efforts that have already yielded significant benefit and will continue to inform strategy and its implementation going forward.
- Published
- 2015
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33. p16 as a prognostic indicator in ovarian/tubal high-grade serous carcinoma
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Perry Maxwell, W. Glenn McCluggage, Manuel Salto-Tellez, Jacqueline James, James P Beirne, and Darragh G. McArt
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Ovarian Neoplasms ,0301 basic medicine ,medicine.medical_specialty ,Histology ,business.industry ,General Medicine ,Retinoblastoma Protein ,Gastroenterology ,Cystadenocarcinoma, Serous ,Pathology and Forensic Medicine ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Internal medicine ,medicine ,Humans ,Female ,business ,High-grade serous carcinoma - Published
- 2015
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34. Conversion of leucine to β-hydroxy-β-methylbutyrate by α-keto isocaproate dioxygenase is required for a potent stimulation of protein synthesis in L6 rat myotubes
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Nefertiti Campos, María D. Girón, Rafael Salto, Natalia Sevillano, Ricardo Rueda, José M. López-Pedrosa, Josep M. Argilés, Jose D. Vílchez, and Manuel Manzano
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0301 basic medicine ,biology ,Anabolism ,Kinase ,Catabolism ,Skeletal muscle ,030204 cardiovascular system & hematology ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,medicine.anatomical_structure ,Biochemistry ,Physiology (medical) ,biology.protein ,medicine ,Phosphorylation ,Orthopedics and Sports Medicine ,Leucine ,skin and connective tissue diseases ,human activities ,Protein kinase B ,Mechanistic target of rapamycin - Abstract
Background L-Leu and its metabolite β-hydroxy-β-methylbutyrate (HMB) stimulate muscle protein synthesis enhancing the phosphorylation of proteins that regulate anabolic signalling pathways. Alterations in these pathways are observed in many catabolic diseases, and HMB and L-Leu have proven their anabolic effects in in vivo and in vitro models. The aim of this study was to compare the anabolic effects of L-Leu and HMB in myotubes grown in the absence of any catabolic stimuli. Methods Studies were conducted in vitro using rat L6 myotubes under normal growth conditions (non-involving L-Leu-deprived conditions). Protein synthesis and mechanistic target of rapamycin signalling pathway were determined. Results Only HMB was able to increase protein synthesis through a mechanism that involves the phosphorylation of the mechanistic target of rapamycin as well as its downstream elements, pS6 kinase, 4E binding protein-1, and eIF4E. HMB was significantly more effective than L-Leu in promoting these effects through an activation of protein kinase B/Akt. Because the conversion of L-Leu to HMB is limited in muscle, L6 cells were transfected with a plasmid that codes for α-keto isocaproate dioxygenase, the key enzyme involved in the catabolic conversion of α-keto isocaproate into HMB. In these transfected cells, L-Leu was able to promote protein synthesis and mechanistic target of rapamycin regulated pathway activation equally to HMB. Additionally, these effects of leucine were reverted to a normal state by mesotrione, a specific inhibitor of α-keto isocaproate dioxygenase. Conclusion Our results suggest that HMB is an active L-Leu metabolite able to maximize protein synthesis in skeletal muscle under conditions, in which no amino acid deprivation occurred. It may be proposed that supplementation with HMB may be very useful to stimulate protein synthesis in wasting conditions associated with chronic diseases, such as cancer or chronic heart failure.
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- 2015
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35. Molecular pathology - The value of an integrative approach
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Manuel Salto-Tellez, Peter W. Hamilton, and Jacqueline James
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Cancer Research ,business.industry ,Molecular pathology ,Computational Biology ,Translational research ,Tissue Banks ,Review ,General Medicine ,Molecular diagnostics ,Bioinformatics ,Data science ,Translational Research, Biomedical ,Oncology ,Neoplasms diagnosis ,Neoplasms ,Biomarkers, Tumor ,Genetics ,Animals ,Humans ,Molecular Medicine ,Medicine ,Pathology, Molecular ,Biomarker discovery ,business - Abstract
Molecular Pathology (MP) is at the heart of modern diagnostics and translational research, but the controversy on how MP is best developed has not abated. The lack of a proper model or trained pathologists to support the diagnostic and research missions makes MP a rare commodity overall. Here we analyse the scientific and technology areas, in research and diagnostics, which are encompassed by MP of solid tumours; we highlight the broad overlap of technologies and analytical capabilities in tissue research and diagnostics; and we describe an integrated model that rationalizes technical know-how and pathology talent for both. The model is based on a single, accredited laboratory providing a single standard of high-quality for biomarker discovery, biomarker validation and molecular diagnostics.
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- 2014
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36. High PTGS2 expression in post‐neoadjuvant chemotherapy‐treated oesophageal adenocarcinoma is associated with improved survival: a population‐based cohort study
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Spence, Andrew D, primary, Trainor, James, additional, McMenamin, Úna, additional, Turkington, Richard C, additional, McQuaid, Stephen, additional, Bingham, Victoria, additional, James, Jacqueline, additional, Salto‐Tellez, Manuel, additional, McManus, Damian T, additional, Johnston, Brian T, additional, Cardwell, Chris R, additional, and Coleman, Helen G, additional
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- 2019
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37. Artificial intelligence—the third revolution in pathology
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Salto‐Tellez, Manuel, primary, Maxwell, Perry, additional, and Hamilton, Peter, additional
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- 2019
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38. Validation of the systematic scoring of immunohistochemically stained tumour tissue microarrays using QuPath digital image analysis
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Loughrey, Maurice B, primary, Bankhead, Peter, additional, Coleman, Helen G, additional, Hagan, Ryan S, additional, Craig, Stephanie, additional, McCorry, Amy M B, additional, Gray, Ronan T, additional, McQuaid, Stephen, additional, Dunne, Philip D, additional, Hamilton, Peter W, additional, James, Jacqueline A, additional, and Salto-Tellez, Manuel, additional
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- 2018
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39. A gene signature associated with PTEN activation defines good prognosis intermediate risk prostate cancer cases
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Ong, Chee W, primary, Maxwell, Pamela, additional, Alvi, Muhammad A, additional, McQuaid, Stephen, additional, Waugh, David, additional, Mills, Ian, additional, and Salto-Tellez, Manuel, additional
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- 2018
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40. Natural occurrence of entomophthoroid fungi (Entomophthoromycota) of aphids (Hemiptera: Aphididae) on cereal crops in Argentina
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J.L. Hatting, Richard A. Humber, C.C. López Lastra, Romina Guadalupe Manfrino, and Cesar E. Salto
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Entomopathogenic fungi ,Entomophthoromycota ,biology ,Agronomy ,Botany ,Biological pest control ,Aphididae ,biology.organism_classification ,Agronomy and Crop Science ,Hemiptera - Abstract
Fil: Manfrino, Romina Guadalupe. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Santa Fe. Estacion Experimental Agropecuaria Rafaela; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico La Plata. Centro de Estudios Parasitologicos y de Vectores (i); Argentina
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- 2013
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41. Guidelines and considerations for conducting experiments using tissue microarrays
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Daniel M. Berney, Peter W. Hamilton, Andrew R. Green, David J. Harrison, Robert S. Brown, Mohammad Ilyas, Richard J. Byers, Graham Ball, Dean A. Fennell, Heike Grabsch, Ian O. Ellis, Martin Jenkins, Göran Landberg, Chris Womack, Manuel Salto-Tellez, and Darren Treanor
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Quality Control ,Histology ,Tissue microarray ,Computer science ,Academies and Institutes ,Data interpretation ,General Medicine ,Bioinformatics ,Immunohistochemistry ,Data science ,United Kingdom ,Checklist ,Pathology and Forensic Medicine ,Tissue Array Analysis ,Data Interpretation, Statistical ,Humans ,Cancer biomarkers ,Biomarkers - Abstract
Tissue microarrays (TMAs) represent a powerful method for undertaking large-scale tissue-based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA-based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA-based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA-based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the National Cancer Research Institute Biomarker and Imaging Clinical Studies Group organized a 1-day TMA workshop held in Nottingham in May 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA-based research, including the pre-analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines.
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- 2013
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42. Varroa destructorand Viruses association in honey bee colonies under different climatic conditions
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Julieta Merke, Ana Ines Molineri, Natalia Bulacio Cagnolo, Marcelo Signorini, Adriana Pacini, Graciela Rodríguez, Cesar Salto, Norberto Fondevila, Agostina Giacobino, Alejandra Palacio, Emanuel Orellano, and Hernán Pietronave
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0301 basic medicine ,Veterinary medicine ,Apiary ,biology ,030106 microbiology ,Zoology ,Honey bee ,medicine.disease_cause ,biology.organism_classification ,Agricultural and Biological Sciences (miscellaneous) ,Microbiology ,03 medical and health sciences ,030104 developmental biology ,Deformed wing virus ,Varroa destructor ,Infestation ,medicine ,Temperate climate ,Varroa ,Varroa sensitive hygiene ,Ecology, Evolution, Behavior and Systematics - Abstract
Summary Honey bee colonies are threatened by multiple factors including complex interactions between environmental and diseases such as parasitic mites and viruses. We compared the presence of honeybee-pathogenic viruses and Varroa infestation rate in four apiaries: commercial colonies that received treatment against Varroa and non-treated colonies that did not received any treatment for the last 4 years located in temperate and subtropical climate. In addition, we evaluated the effect of climate and Varroa treatment on deformed wing virus (DWV) amounts. In both climates, DWV was the most prevalent virus, being the only present virus in subtropical colonies. Moreover, colonies from subtropical climate also showed reduced DWV amounts and lower Varroa infestation rates than colonies from temperate climate. Nevertheless, non-treated colonies in both climate conditions are able to survive several years. Environment appears as a key factor interacting with local bee populations and influencing colony survival beyond Varroa and virus presence.
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- 2016
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43. The topography of DNA methylation in the non-neoplastic colonic mucosa surrounding colorectal cancers
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Jason Yongsheng Chan, Khay Guan Yeoh, Natalia Liem, Yong Wei Peng, Manish Mani Subramaniam, Xn Yii Lim, Barry Iacopetta, Pei Li Lim, Manuel Salto-Tellez, Marie Loh, and Richie Soong
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Cancer Research ,Non neoplastic ,CpG Island Methylator Phenotype ,Colorectal cancer ,Methylation ,Biology ,medicine.disease ,digestive system diseases ,Colonic mucosa ,CpG site ,Immunology ,DNA methylation ,medicine ,Cancer research ,Molecular Biology ,Gene - Abstract
The degree of gene hypermethylation in non-neoplastic colonic mucosa (NNCM) is a potentially important event in the development of colorectal cancer (CRC), particularly for the subgroup with a CpG island methylator phenotype (CIMP). In this study, we aimed to use an unbiased and high-throughput approach to evaluate the topography of DNA methylation in the non-neoplastic colonic mucosa (NNCM) surrounding colorectal cancer (CRC). A total of 61 tissue samples comprising 53 NNCM and 8 tumor samples were obtained from hemicolectomy specimens of two CRC patients (Cases 1 and 2). NNCM was stripped from the underlying colonic wall and samples taken at varying distances from the tumor. The level of DNA methylation in NNCM and tumor tissues was assessed at 1,505 CpG sites in 807 cancer-related genes using Illumina GoldenGate® methylation arrays. Case 1 tumor showed significantly higher levels of methylation compared to surrounding NNCM samples (P < 0.001). The average level of methylation in NNCM decreased with increasing distance from the tumor (r = -0.418; P = 0.017), however this was not continuous and "patches" with higher levels of methylation were observed. Case 2 tumor was less methylated than Case 1 tumor (average β-value 0.181 vs. 0.415) and no significant difference in the level of methylation was observed in comparison to the surrounding NNCM. No evidence was found for a diminishing gradient of methylation in the NNCM surrounding CRC with a high level of methylation. Further work is required to determine whether CIMP+ CRC develop from within "patches" of NCCM that display high levels of methylation.
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- 2012
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44. The positive impact of cytological specimens for EGFR mutation testing in non-small cell lung cancer: a single South East Asian laboratory’s analysis of 670 cases
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A. N. Dhewar, Chee Wee Ong, Ross A. Soo, D. Matthias, Richie Soong, Sarika Gupta, Manuel Salto-Tellez, Tan Min Chin, G. L. Lim, A. Qasim, Brendan Pang, Ju Ee Seet, and Min En Nga
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Sanger sequencing ,medicine.medical_specialty ,Pathology ,Histology ,business.industry ,General Medicine ,medicine.disease ,Gastroenterology ,Pathology and Forensic Medicine ,law.invention ,symbols.namesake ,law ,Egfr mutation ,Cytology ,Internal medicine ,medicine ,symbols ,Carcinoma ,Adenocarcinoma ,Lung cancer ,business ,Genotyping ,Polymerase chain reaction - Abstract
B. Pang, D. Matthias, C.W. Ong, A.N. Dhewar, S. Gupta, G.L. Lim, M.-E. Nga, J.E. Seet, A. Qasim, T.-M. Chin, R. Soo, R. Soong and M. Salto-Tellez The positive impact of cytological specimens for EGFR mutation testing in non-small cell lung cancer: a single South East Asian laboratory’s analysis of 670 cases Objectives: To compare the rejection rates of non-small cell lung cancer (NSCLC) samples obtained by differing sampling methods for testing by Sanger sequencing for epidermal growth factor receptor (EGFR) mutations. To assess the association between unsatisfactory outcomes and the quantity of DNA extracted from cytological versus histological samples. Methods: Six hundred and seventy NSCLC samples referred to our centre from 2008 to 2010 were reviewed as a consequence of sample rejection, presence of EGFR mutations, cytological versus histological sampling methods, DNA quantity and the unsatisfactory genotyping rate. Results: Eighty samples were rejected for testing in similar proportions of histological and cytological samples (11.9% versus 10.9%) usually (n = 75) because the amount of cellular material was judged insufficient in small biopsies or cytology samples. The remaining 590 samples on which EGFR testing was attempted yielded 51 (8.6%) unsatisfactory test outcomes caused by failure of the polymerase chain reaction (PCR) (n = 47 cases), uninterpretable Sanger chromatograms (n = 3 cases) and insufficient DNA extracted for PCR (n = 1 case). The difference in rates of unsatisfactory outcomes between cytological samples (seven of 147 samples or 4.7%) versus tissue samples (44 of 443 samples or 9.9%) was clinically relevant but not statistically significant (Mann–Whitney test; P
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- 2012
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45. Inactivation of Rb in stromal fibroblasts promotes epithelial cell invasion
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Anna Barry, Peter W. Hamilton, Manuel Salto-Tellez, Adam Pickard, Jacqueline James, Dennis J. McCance, Daksha Patel, Ann-Christin Cichon, and Declan Kieran
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General Immunology and Microbiology ,biology ,Retinoblastoma ,General Neuroscience ,Cell ,Retinoblastoma protein ,medicine.disease ,General Biochemistry, Genetics and Molecular Biology ,Epithelium ,Cell biology ,chemistry.chemical_compound ,medicine.anatomical_structure ,Downregulation and upregulation ,chemistry ,Fibroblast Growth Factor 7 ,biology.protein ,medicine ,Keratinocyte growth factor ,Molecular Biology ,Protein kinase B - Abstract
Stromal-derived growth factors are required for normal epithelial growth but are also implicated in tumour progression. We have observed inactivation of the retinoblastoma protein (Rb), through phosphorylation, in cancer-associated fibroblasts in oro-pharyngeal cancer specimens. Rb is well known for its cell-autonomous effects on cancer initiation and progression; however, cell non-autonomous functions of Rb are not well described. We have identified a cell non-autonomous role of Rb, using three-dimensional cultures, where depletion of Rb in stromal fibroblasts enhances invasive potential of transformed epithelia. In part, this is mediated by upregulation of keratinocyte growth factor (KGF), which is produced by the depleted fibroblasts. KGF drives invasion of epithelial cells through induction of MMP1 expression in an AKT- and Ets2-dependent manner. Our data identify that stromal fibroblasts can alter the invasive behaviour of the epithelium, and we show that altered expression of KGF can mediate these functions.
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- 2012
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46. Overexpression of neurone glial-related cell adhesion molecule is an independent predictor of poor prognosis in advanced colorectal cancer
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Manuel Salto-Tellez, Chee Wee Ong, and Jason Yongsheng Chan
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Male ,Proto-Oncogene Proteins B-raf ,Oncology ,Cancer Research ,medicine.medical_specialty ,Pathology ,Colorectal cancer ,Protein Array Analysis ,Kaplan-Meier Estimate ,Biology ,Metastasis ,Proto-Oncogene Proteins p21(ras) ,Proto-Oncogene Proteins ,Internal medicine ,Biomarkers, Tumor ,medicine ,Humans ,Clinical significance ,Neoplasm Metastasis ,Wnt Signaling Pathway ,Aged ,Aged, 80 and over ,Predictive marker ,Tissue microarray ,Hazard ratio ,Cancer ,General Medicine ,Middle Aged ,Prognosis ,medicine.disease ,Genes, ras ,Mutation ,ras Proteins ,Immunohistochemistry ,Female ,Microsatellite Instability ,Fluorouracil ,Colorectal Neoplasms ,Cell Adhesion Molecules ,Neuroglia - Abstract
A downstream target of the Wnt pathway, neurone glial-related cell adhesion molecule (Nr-CAM) has recently been implicated in human cancer development. However, its role in colorectal cancer (CRC) pathobiology and clinical relevance remains unknown. In this study, we examined the clinical significance of Nr-CAM protein expression in a retrospective series of 428 CRCs using immunohistochemistry and tissue microarrays. Cox proportional hazards regression was used to calculate hazard ratios (HR) of mortality according to various clinicopathological features and molecular markers. All CRC samples were immunoreactive for Nr-CAM protein expression, compared to 10/245 (4%) matched normal tissue (P
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- 2011
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47. Elevated NRD1 metalloprotease expression plays a role in breast cancer growth and proliferation
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Weiyi Toy, Manuel Salto-Tellez, Chow-Yin Wong, Yunhao Chen, Lee Yee Choong, Nilesh Shah, Marie-Chiew-Shia Loh, Shen Kiat Lim, and Yoon Pin Lim
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Cancer Research ,Apoptosis ,Breast Neoplasms ,Biology ,Real-Time Polymerase Chain Reaction ,Breast cancer ,Cyclin D1 ,Epidermal growth factor ,Cell Line, Tumor ,Genetics ,medicine ,Humans ,Gene silencing ,Gene Silencing ,Phosphorylation ,RNA, Small Interfering ,Cell Proliferation ,Mitogen-Activated Protein Kinase Kinases ,Tissue microarray ,Epidermal Growth Factor ,Carcinoma, Ductal, Breast ,Cancer ,Ductal carcinoma ,medicine.disease ,Immunohistochemistry ,Molecular biology ,Isogenic human disease models ,Up-Regulation ,Gene Expression Regulation, Neoplastic ,Disease Progression ,Metalloproteases ,Cancer research ,Tyrosine ,Female ,Proto-Oncogene Proteins c-akt ,Signal Transduction - Abstract
Understanding the molecular etiology of cancer and increasing the number of drugs and their targets are critical to cancer management. In our attempt to unravel novel breast-cancer associated proteins, we previously conducted protein expression profiling of the MCF10AT model, which comprises a series of isogenic cell lines that mimic different stages of breast cancer progression. NRD1 expression was found to increase during breast cancer progression. Here, we attempted to confirm the relevance of NRD1 in clinical breast cancer and understand the functional role and mechanism of NRD1 in breast cancer cells. Immunohistochemistry data show that NRD1 expression was elevated in ductal carcinoma in situ and invasive ductal carcinomas compared with normal tissues in 30% of the 26 matched cases studied. Examination of NRD1 expression in tissue microarray comprising >100 carcinomas and subsequent correlation with clinical data revealed that NRD1 expression was significantly associated with tumor size, grade, and nodal status (P < 0.05). Silencing of NRD1 reduced MCF10CA1h and MDA-MD-231 breast-cancer-cell proliferation and growth. Probing the oncogenic EGF signaling pathways revealed that NRD1 knock down did not affect overall downstream tyrosine phosphorylation cascades including AKT and MAPK activation. Instead, silencing of NRD1 resulted in a reduction of overall cyclin D1 expression, a reduction of EGF-induced increase in cyclin D1 expression and an increase in apoptotic cell population compared with control cells. © 2011 Wiley-Liss, Inc.
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- 2011
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48. Proliferation of germ cells and somatic cells in first trimester human embryonic gonads as indicated by S and S+G2+M phase fractions
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Jørgen K. Larsen, Kristina Pilekær Sørensen, Melissa C. Lutterodt, Anne Grete Byskov, and Linn Salto Mamsen
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endocrine system ,medicine.diagnostic_test ,Somatic cell ,Cell growth ,Period (gene) ,Cell ,Cell Biology ,General Medicine ,Biology ,Embryonic stem cell ,Flow cytometry ,Andrology ,chemistry.chemical_compound ,medicine.anatomical_structure ,chemistry ,Immunology ,medicine ,Germ ,DNA - Abstract
Objectives: The number of germ cells and somatic cells in human embryonic and foetal gonads has previously been estimated by stereological methods, which are time- and labour-consuming with little information concerning cell proliferation. Here, we studied whether flow cytometry could be applied as an easier method, also enabling estimation of the fraction of cells in S or S+G2+M (SG2M) cell-cycle phases as indicators of cell proliferation. Methods: Cell suspensions from 35 human embryonic gonads at days 37 to 68 post-conception (pc) were immunomagnetically sorted into C-KIT positive (germ) cells and negative (somatic) cells. They were stained for DNA content and analysed by flow cytometry. S and SG2M fractions could be measured for 13 of the female and 20 of the male gonads. The number of cells was estimated using fluorescent reference beads. Results: During the period from 37 to 68 days pc, female germ and somatic cells had a stable S and SG2M fractions indicating steady growth of both subpopulations, whereas they decreased in both male germ and somatic cells. The number of germ and somatic cells estimated by flow cytometry was significantly lower than in stereological estimates, suggesting loss of cells during preparation. Conclusions: Cell proliferation as indicated by S and SG2M fractions could be estimated specifically for primordial germ and somatic cells. Estimation of total number of germ and somatic cells was not feasible.
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- 2011
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49. Activated oncogenic pathways and therapeutic targets in extranodal nasal-type NK/T cell lymphoma revealed by gene expression profiling
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Mark E. Law, Manuel Salto-Tellez, Gaofeng Huang, Jianbiao Zhou, Yok-Lam Kwong, Yoshitoyo Kagami, Katsuyuki Aozasa, Wee Joo Chng, Viknesvaran Selvarajan, Siok Bian Ng, Andrew L. Feldman, and Norio Shimizu
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Tissue microarray ,Cell ,Biology ,NFKB1 ,medicine.disease_cause ,medicine.disease ,Nose neoplasm ,Pathology and Forensic Medicine ,Gene expression profiling ,medicine.anatomical_structure ,Survivin ,Cancer research ,medicine ,T-cell lymphoma ,Carcinogenesis - Abstract
We performed comprehensive genome-wide gene expression profiling (GEP) of extranodal nasal-type natural killer/T-cell lymphoma (NKTL) using formalin-fixed, paraffin-embedded tissue (n = 9) and NK cell lines (n = 5) in comparison with normal NK cells, with the objective of understanding the oncogenic pathways involved in the pathogenesis of NKTL and to identify potential therapeutic targets. Pathway and network analysis of genes differentially expressed between NKTL and normal NK cells revealed significant enrichment for cell cycle-related genes and pathways, such as PLK1, CDK1, and Aurora-A. Furthermore, our results demonstrated a pro-proliferative and anti-apoptotic phenotype in NKTL characterized by activation of Myc and nuclear factor kappa B (NF-κB), and deregulation of p53. In corroboration with GEP findings, a significant percentage of NKTLs (n = 33) overexpressed c-Myc (45.4%), p53 (87.9%), and NF-κB p50 (67.7%) on immunohistochemistry using a tissue microarray containing 33 NKTL samples. Notably, overexpression of survivin was observed in 97% of cases. Based on our findings, we propose a model of NKTL pathogenesis where deregulation of p53 together with activation of Myc and NF-κB, possibly driven by EBV LMP-1, results in the cumulative up-regulation of survivin. Down-regulation of survivin with Terameprocol (EM-1421, a survivin inhibitor) results in reduced cell viability and increased apoptosis in tumour cells, suggesting that targeting survivin may be a potential novel therapeutic strategy in NKTL.
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- 2011
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50. KRAS and BRAF mutation analysis can be reliably performed on aspirated cytological specimens of metastatic colorectal carcinoma
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Min En Nga, T. M. Ismail, Manuel Salto-Tellez, G. L. Lim, Sze Yung Chin, Richie Soong, and N. K. B. Pang
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Sanger sequencing ,Pathology ,medicine.medical_specialty ,Histology ,endocrine system diseases ,medicine.diagnostic_test ,Cetuximab ,Colorectal cancer ,business.industry ,General Medicine ,medicine.disease ,medicine.disease_cause ,digestive system diseases ,Pathology and Forensic Medicine ,Metastatic carcinoma ,symbols.namesake ,Genotype ,Monoclonal ,Biopsy ,medicine ,symbols ,KRAS ,business ,neoplasms ,medicine.drug - Abstract
N. K. B. Pang, M. E. Nga, S. Y. Chin, T.-M. Ismail, G. L. Lim, R. Soong and M. Salto-Tellez KRAS and BRAF mutation analysis can be reliably performed on aspirated cytological specimens of metastatic colorectal carcinoma Background: Sanger sequencing is one of several reliable methods in use to detect KRAS and BRAF mutations to facilitate clinical patient selection for anti-epidermal growth factor receptor (EGFR) monoclonal antibody therapy in unresectable metastatic colorectal adenocarcinoma (CRC). Most analyses are made on pretreatment biopsy or resection specimens. There is a scarcity of published studies on the suitability of cytological samples for KRAS testing in this setting. Methods: DNA extraction was attempted on 11 search-retrieved paired cases of histological resections or excisions of CRC and their corresponding cytological samples (representing metastases) and tested for KRAS mutations in exon 2 and 3, as well as BRAF exon 15 mutations by Sanger sequencing. Only KRAS wild-type cases were subjected to BRAF analysis because this is the setting with true diagnostic value, as these mutations are mutually exclusive. Results: Of the 11 paired cases analysed, only eight histology cases showed satisfactory DNA quality for sequencing. Thus, only eight of the corresponding cytology cases were analysed. Seven of the eight cases tested showed the same KRAS genotype on both the aspirated cytology specimen of metastatic carcinoma and the primary tumour (histological specimen), from which we derive an overall concordance rate of 87.5%. The single discordant case was likely to be a true difference as it was demonstrated again on repeat testing of both samples. No BRAF mutations were detected on the four KRAS wild-type cases. Conclusion: A range of cytological samples are suitable for KRAS and BRAF mutation testing, be it from previously stained preparations or cell blocks. These samples would be highly valuable in cases where cytological samples are the only material available for mutation testing.
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- 2010
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