1. Cytogenetic analysis identifies recurrent chromosomal abnormalities in hematological malignancies that are important for diagnosis, classification, risk stratification, and treatment selection.
2. Specific abnormalities seen in cancers include t(9;22) in CML, t(8;21), t(15;17), and others in AML, and t(4;11) and others in ALL. Abnormalities in MDS include -Y, del(11q), and -7.
3. Cytogenetic testing aids in diagnosis, determining prognosis, assessing treatment response over time, and detecting relapse in diseases like CML, AML, MDS, lymphoma, CLL and MM.
cytochemical stains. CML versus Leukamoid. LAP score. NAP score. Hematology, Hematopathology. Lab technology. Pahology. Medical Laboratory. White cell stains
This presentation in mainly focused of understanding of automation and its utility in cytopathology. It will be very usefull for postgraduate in pathology, cytopathologist and cytotechnicians.
Lab Diagnosis of Chronic lymphoproliferative disorders (CLPD); Flowcytometric...Dr Siddartha
Lab Diagnosis of Chronic lymphoproliferative disorders (CLPD); Flowcytometric Evaluation
Basavatarakam Indo-American Cancer Hospital and Research Institute
cytochemical stains. CML versus Leukamoid. LAP score. NAP score. Hematology, Hematopathology. Lab technology. Pahology. Medical Laboratory. White cell stains
This presentation in mainly focused of understanding of automation and its utility in cytopathology. It will be very usefull for postgraduate in pathology, cytopathologist and cytotechnicians.
Lab Diagnosis of Chronic lymphoproliferative disorders (CLPD); Flowcytometric...Dr Siddartha
Lab Diagnosis of Chronic lymphoproliferative disorders (CLPD); Flowcytometric Evaluation
Basavatarakam Indo-American Cancer Hospital and Research Institute
WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues : 2016 U...Ankit Raiyani
This is a complilation of expected changes in the myeloid neoplasms in the upcoming 2016 update of the "WHO classification of tumours of haematopoietic and lymphoid tissues".
Some of the changes may not be incorporated in the actual published book.
This compilation has been prepared from presentations from persons actually concerned with revision of the book. All credits goes to them.
Disease of older males.
The Philadelphia chromosome - BCR-ABL gene and it’s Tyrosine kinase protein – central to the pathogenesis.
Occurs in 3 phases
Imatinib has revolutionized the management
Treatment of patients with β‐Thalassaemias by Professor John Porter, University College London, Joint Red Cell Disorders Unit, UCLH and Whittington Hospitals
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2. Recurrent chromosomal abnormalities in
Hematological malignancies
Abnormalities important for classification
CML t(9;22)
AML t(8;21), t(15;17), inv(16), t(9;11), inv(3),
t(6;9), t(1;22), -5/5q-, -7/7q-
ALL t(4;11), t(1;19), t(v;11q23), t(12;21)＊
MDS -Y, del(11q); del(5q), del(12p), del(20q);
del(7q), +8, +19, i(17q); -7, inv(3)
Lymphoma
DLBCL t(3q27)
Burkitt t(8;14) and variant
Follicular t(14;18)
Mantle cell t(11;14)
Marginal zone t(11;18), t(1;14), t(14;18)
3. Purpose of Cytogenetic Study in
Hematological malignancies
1. Diagnosis and classification
2. Risk stratification
3. Selection of proper treatment
4. Follow-up of the response
17. Impact of Cytogenetics in AML based on
2008 WHO Classification
Medical Research Council , United Kingdom
Blood. 2010;116(3):354 , Blood Rev, 2011; 25:39
t(9;22)
-7/7q-
-5/5q-
Inv(3), t(3;3)
t(9;11)
t(3;5)
t(6;9)
MDS-related
other t(11q23)
t(15;17)
t(8;21)
Inv(16)
5876 patients
Normal
18. Cytogenetic Scoring System in MDS (n=2,754)
Abnormality Overall
survival
AML
transformation
Prognostic
Subgroup
No.
of
Pts
% Single Double Cplx Median
(months)
Median
(months)
Very good 81 2.9 del(11q), -Y ―
―
60.8 NR
Good
(reference)
1,809 65.7 Normal, del(5q)
del(12p), del(20q)
Including
del(5q) ―
48.6 NR
Intermediate 529 19.2 del(7q), +8, i(17q)
+19, any other
Independent
clones
Any other
―
26.0 78.0
Poor 148 5.4 Inv(3)/t(3q)/del(3q),
-7
Including
-7/del(7q)
3 15.8 21.0
Very poor 187 6.8 ― ― > 3 5.9 8.2
Abbreviations: AML, acute myeloid leukemia; NR, not reached.
Schanz et al, J Clin Oncol, 2012
19. MM: Impact of genomic aberrations on OS
Blood. 2007;109:3489
20. Prognostic relevance of chromosome aberrations in CLL
Best Pract Res Clin Haematol. 2007 20:439
17p-
11q-
+12
13q- sole
normal
24. Indication of Cytogenetic Study
• Unknown cause of cytopenia
• Fever of unknown origin
• WHO classification of AML and ALL
• MDS diagnosis, classification (IPSS, IPSS-R)
• Lymphoma diagnosis, classification and
staging work up
• Risk stratification of CLL and MM
• Follow-up of treatment response
