Cancer is a major human and animal health problem worldwide and is the second leading cause of death in the world wide. Over the past 30 years .significant progress has been achieved in understanding the molecular basis of cancer. The accumulation of this basic knowledge has established that cancer is a variety of distinct disease and that defective gene cause this disease. Further gene defect are diverse in nature and can involve either loss or gain of gene function.
Cancer is disease where cells grows out of control and invade, erode and destroy normal tissues
Normal body cells grow, divide and die in orderly fashion
Cancer cell does not obey this path
Cancer cells don't die (Immortality). They just continue to grow and divide in disorderly fashion
This makes it hard for the body to work the way it should
Cancer is disease where cells grows out of control and invade, erode and destroy normal tissues
Normal body cells grow, divide and die in orderly fashion
Cancer cell does not obey this path
Cancer cells don't die (Immortality). They just continue to grow and divide in disorderly fashion
This makes it hard for the body to work the way it should
When to Consider Multi-Gene Testing in Early-Stage and Metastatic Breast Cancerbkling
You can’t change your genes, but knowing and acting on your family health history is essential for you and your medical team in developing your treatment plan. The National Comprehensive Cancer Network (NCCN) recommends genetic testing NCCN recommends genetic testing, including the BRCA1/2 genes, for all metastatic breast cancer patients because it could change treatment decisions. Additionally, individuals with early-stage breast cancer may meet testing criteria based on their type of breast cancer or family history.
Our guest speaker Christina (Chrissy) Spears, the Assistant Professor at Ohio State University and helps run the High-Risk Breast Cancer Clinic as a genetic counselor, will discuss not only the common BRCA1/2 tests but the multiple other high-risk gene mutations called expanded panel testing or multi-gene testing to consider. It may also help your family members better understand their risk of breast cancer and other cancers, such as ovarian cancer, prostate cancer or pancreatic cancer.
Microsatellite instability testing is an important part in diagnostics in Metastatic cancer settings after the FDA has given approval for tissue agnostic indications in almost all solid cancers. MSI by PCR and MMR status by IHC is also helpful for evaluation of genetic risk in Colon and Endometrial cancers
Please share this webinar with anyone who may be interested!
Watch all our webinars: https://www.youtube.com/playlist?list=PL4dDQscmFYu_ezxuxnAE61hx4JlqAKXpR
Cancer care is increasingly tailored to individual patients, who can undergo genetic or biomarker testing soon after diagnosis, to determine which treatments have the best chance of shrinking or eliminating tumours.
In this webinar, a pathologist and clinical oncologist discuss:
● how they are using these new tests,
● how they communicate results and treatment options to patients and caregivers, and
● how patients can be better informed on the kinds of tests that are in development or in use across Canada
View the video: https://youtu.be/_Wai_uMQKEQ
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Biomarkers have a diversified role in diagnosis, prognostication and risk stratification. This presentation aims to compile the basic information and new literature on various biomarkers pertaining to cancer care.
When to Consider Multi-Gene Testing in Early-Stage and Metastatic Breast Cancerbkling
You can’t change your genes, but knowing and acting on your family health history is essential for you and your medical team in developing your treatment plan. The National Comprehensive Cancer Network (NCCN) recommends genetic testing NCCN recommends genetic testing, including the BRCA1/2 genes, for all metastatic breast cancer patients because it could change treatment decisions. Additionally, individuals with early-stage breast cancer may meet testing criteria based on their type of breast cancer or family history.
Our guest speaker Christina (Chrissy) Spears, the Assistant Professor at Ohio State University and helps run the High-Risk Breast Cancer Clinic as a genetic counselor, will discuss not only the common BRCA1/2 tests but the multiple other high-risk gene mutations called expanded panel testing or multi-gene testing to consider. It may also help your family members better understand their risk of breast cancer and other cancers, such as ovarian cancer, prostate cancer or pancreatic cancer.
Microsatellite instability testing is an important part in diagnostics in Metastatic cancer settings after the FDA has given approval for tissue agnostic indications in almost all solid cancers. MSI by PCR and MMR status by IHC is also helpful for evaluation of genetic risk in Colon and Endometrial cancers
Please share this webinar with anyone who may be interested!
Watch all our webinars: https://www.youtube.com/playlist?list=PL4dDQscmFYu_ezxuxnAE61hx4JlqAKXpR
Cancer care is increasingly tailored to individual patients, who can undergo genetic or biomarker testing soon after diagnosis, to determine which treatments have the best chance of shrinking or eliminating tumours.
In this webinar, a pathologist and clinical oncologist discuss:
● how they are using these new tests,
● how they communicate results and treatment options to patients and caregivers, and
● how patients can be better informed on the kinds of tests that are in development or in use across Canada
View the video: https://youtu.be/_Wai_uMQKEQ
Follow our social media accounts:
Twitter - https://twitter.com/survivornetca
Facebook - https://www.facebook.com/CanadianSurvivorNet
Pinterest - https://www.pinterest.com/survivornetwork
YouTube - https://www.youtube.com/user/Survivornetca
Biomarkers have a diversified role in diagnosis, prognostication and risk stratification. This presentation aims to compile the basic information and new literature on various biomarkers pertaining to cancer care.
define the cancer, types of tumor cells, TNM classification, staging, cancer cells in different area, etiology, carcinogenesis, sign of cancer, diagnosis, prevention - radiation therapy, chemotherapy, surgical management
Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Here in this presentation cancer and its characteristics are discussed along with anti-cancer drugs, in brief.
Cancer is a group of diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body. These contrast with benign tumors, which do not spread to other parts of the body.
## To understand how cancer develops and progresses, researchers first need to investigate the biological differences between normal cells and cancer cells. This work focuses on the mechanisms that underlie fundamental processes such as cell growth, the transformation of normal cells to cancer cells, and the spread, or metastasis, of cancer cells.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Advancements in Cancer Research with Special Reference to Pathogenesis and Diagnosis
1. Major Credit Seminar
On
Advancements in Cancer
Research with Special
Reference to Pathogenesis
and Diagnosis
Presented
by
Dr. Rahul G.
Kadam
Ph.D Scholar
2. Present Cancer Scenario..
• Out of the total deaths in world 12-13 % deaths are due to
cancer..
• In world 8.2 million people died due to cancer during 2013.
• By 2030 deaths are expected to rise up to 12.0 million.
• The cancer deaths are exceeding the cardiac deaths.
• Every day 2000 peoples died by cancer worldwide.
• Among all these losses
40 % deaths can be avoided
by early diagnosis and according
treatment.
3. “ An abnormal mass of tissue, the growth of which
exceeds and is uncoordinated with that of the normal
tissues and persists in the same excessive manner
even after cessation of the stimuli that evoked the
change.”
New growth composed of cells originally derived
from normal tissues, that have undergone heritable
genetic changes allowing them to become relatively
unresponsive to normal growth controls and to
expand beyond their normal anatomical boundaries.
Cancer
4. TYPES OF NEOPLASM
BENIGN NEOPLASMS
Designated by the suffix – ‘oma’
• Adenoma – glandular epithelium
• Papilloma – epithelial tumor forming finger like projections with a
connective tissue core
MALIGNANT NEOPLASMS
• Sarcoma – from mesenchymal tissue
• Carcinoma – from epithelial tissue
5. CLASSIFICATION/NOMENCLATURE
HISTOGENIC CLASSIFICATION
Based on the origin of neoplastic cell types.:
• Mesenchymal tumours: Arise in cells of embryonic mesoderm
Benign – oma; malignant – sarcoma
• Epithelial tumours:
Glandular – adenoma/adenocarcinoma
Squamous / basal
• Non epithelial: fibrous, cartilage, bone, muscle, etc
Some tumors have more than one parenchymal cell type
– Mixed tumors –derived from a single germ cell layer that differentiates
into more than one cell type.
– Teratomas – made of a variety of parenchymal cell types that derive from
more than one germ cell layer formed by totipotent cells that are able to
form ectoderm, endoderm & mesoderm.
6. Tissue of origin Benign Malignant
A)Tumors of mesenchymal
origin
1.Connective tissue and
derivatives
Fibroma
Lipoma
Chondroma
Osteoma
myxoma
Fibrosarcoma
Liposarcoma
Chondrosarcoma
Osteogenic sarcoma
myxosarcoma
2.Endothelial and related
tissues
Hemangioma
Lymphangioma
Meningioma
-
Hemangiosarcoma
Lymphangiosarcoma
Invasive meningioma
mesothelioma
3.Tumours of Hematopoietic
cells
-
Lymphoma
-
-
Lymphoid leukaemia
Lymphosarcoma
Myeloid leukaemia
Multiple myeloma
4.Tumours of Muscle Leiomyoma
Rhabdomyoma
Leiomyosarcoma
Rhabdomyosarcoma
B)Tumors of Epithelial origin Papilloma
-
Adenoma
melanoma
Transititonal cell papilloma
-
Squamous cell carcinoma
Basal cell carcinoma
Adenocarcinoma
Melano carcinoma
Transitional cell carcinoma
Seminoma
c)Tumours of nervous
tissue
neuroma neuroblastoma
WHO & IARC ,Lyon, 2000
11. Etiology of cancerEtiology of cancer
Intrinsic factors
• HEREDITY
• AGE
• PIGMENTATION
. SEX
. TUMOUR IMMUNITY
EXTRINSIC FACTOR
•CHEMICALS
•RADIANT ENERGY
•CHRONIC IRRITATION
•HORMONE
•PARASITES
•ONCOGENIC VIRUS
Chronic irritation : Kangari,
Parasite
:Gongylonema.neoplasticum
12. Environmental Carcinogens
• A cancer-causing agent
• Three main types:
– Chemical
– Physical (radiation)
– Biological (especially virus)
• Direct-acting
• Indirect-acting (must be metabolized to activated
metabolic forms
• Direct-acting carcinogens are already electrophilic
• Indirect-acting carcinogens are metabolically activated
into electrophilic species
13. How Cancer Arises
1. Cancer cells violate the civic rules that govern normal
cells by not responding to go-signals for proliferation and
stop-signals for reproduction
2. Cancer cells descend from a common ancestral cell:
clonal origin. But at some point one of the off-springs
mutate that becomes worse with more mutation, and finally
the accumulated mutated cells disobey all civic controls of
normal cells in a tissue, becoming invasive and malign.
3. Since mutations occur at the gene level, that is, DNA
molecules that reside in the nuclei of the cells, most human
cancer be traced there.
14. Molecular Basis of Cancer
• Tumors are monoclonal
proliferation
• Tumors carry genetic
defect that are not lethal
(inherited or acquired)
• Transformed cells
acquire gene defects that
allow them to form tumor
15. What are the genes involved in Cancer?
• A lot of genes!
• Like what?
• Genes promote growth eg. RAS
• Genes inhibit growth eg. P53
• Genes control apoptosis eg.
Bcl-2
• Genes of DNA repair
• And others….
Functional
classification
Up regulated
genes (%)
Down
regulated
genes(%)
Metabolism 21 30
Cell adhesion 4 4
Cell structure 3 6
Immune
response
6 9
Functional classification of genes
discriminating the normal rat
Mammary gland from NMU-induced
tumors
( Marsen M.et al., 2005)
Oncogenes and tumor suppressors
18. 18
How cellular oncogenes arise
Cellular oncogenes arise from proto-oncogenes
Proto-oncogenes are not bad genes.
Normal genes for regulation of cell proliferation
and survival
When it change the structure and activity by
mutation: causing cancer
Gain-of-function mutation
19. • Targeted genes:
– 1. Proto-oncogenes (oncogenes)
– 2. Tumor suppressor genes
– 3. Genes controlling apoptosis
– 4. Genes regulating DNA repair
• Other genes involved:
– Genes regulating angiogenesis
– Genes enhancing invasion and metastasis
• Carcinogenesis is a multistep process
– At both genetic and phenotypic levels
– Progression results from accumulation of genetic
defects
The cancer –related gene produce six basic
change.
20. What does a cell need to be “cancer”?
The hallmark of cancer
1. ONCOPROTEIN
2. RB GENE
3. BAX gene
4. TELOMERASE
5. VEGE, bFGC,
THROMBOSPODIN-1
(Sheibani et al.,1999)
6. E-CADHERINS , BETA
CATEINS
21. Most cells are quiescent and are in the G0 (inactive) part of the cell cycle
Most adult cells are NOT actively dividing
Mutation in one of the four genes that regulate cell cycle. RB.CDK4,CyclinD
,CDKN2A
22. G1
S
RB
Adenovirus E1A
HPV E7
SV40 Lg T
APOPTOSIS
p53
Adenovirus E1B(55K)
HPV E6
SV40 Lg TAdenovirus E1B (19K)
(Bcl2-like)
Viral Oncogenes Induce Proliferation
and Suppress Apoptosis
RB protein unable to bind the E2F
DNA viruses can ruin two of the best understood Tumour supressor gene.
P53 gene is a monitor of stress.
25. Classification of oncogenes
1. Growth factors – c sis,
2. Growth factor receptors
(RTK) - ERBB2, fms
3. Non receptor tyrosine
kinases - abl, src
4. GTP binding - RAS
5. DNA damage repair -
ATM, MSH2, B cl2
6. Serine/ threonine
kinases
7.Nuclear Transcription
Factors – MYC,MYB,JUN,
FOS
8. Misc - cell surface
APC/ DCC
Imogene : Gene mutated such that the protein is produced in
higher quantity or is more active and initiates tumor formation
Imogene : Gene mutated such that the protein is produced in
higher quantity or is more active and initiates tumor formation
32. BRCA1 and BRCA2, two famous genes whose mutations confer a high increased risk of breast
cancer on carriers, are both associated with a large number of DNA repair pathways,
XERODERMA PIGMENTATION
34. Cancer diagnosis comprises
of
.involves evaluation of the patient’s history,
clinical examinations
paraneoplastic disorder
review of laboratory test results
radiological data, (X-ray.CT scan ,MRI. Ultrasound
imaging)
Biopsy
Cancer staging
Diagnostic approaches of tumor.
35. Stage 0: carcinoma in situ.
Stage I: cancers are localized to one
part of the body
Stage II: cancers are locally advanced.
Stage :Whether a cancer is designated as
Stage II or Stage III can depend on the
specific type of cancer;
Stage IV: cancers have often metastasized, or spread to other organs or
throughout the body.
TNM SYSTEM COMMONLY USED METHOD
OF STAGING BASD ON PRIMARY LESION. .
36. Grade
GX Grade cannot be assessed (Undetermined grade)
G1 Well-differentiated (Low grade)
G2 Moderately differentiated (Intermediate grade)
G3 Poorly differentiated (High grade)
G4 Undifferentiated (High grade)
The American Joint Committee on Cancer recommends the following
guidelines for grading tumors (1):
37. IMAGING
Malignancy is based on imaging information ,later confirmed on
histology
Ultrasound (kondyo et al.,2008)
Computed topography,(Drosot et al.,1996)
Magnetic resonance imaging(MRI)(kaiser et al 1992)
Metabolic and functional Imaging
Molecular imaging with magnetic resonance spectroscopy.(MRS)
Position emission topography,(PET)(Grahek D et al 2004)
39. • What is tumor marker?
Tumor markers are glycoproteins
produced by tumor cells or by other
body cells in response to cancer or
other conditions.
As tumor cells multiply, spreads
& tissue is damaged TMs increase
in concentration.
• How it produced?
Tumor Markers
• Where do the TMs found?
These substances can be found
in the blood (plasma, serum),
urine, saliva, tissue fluid, in the
tumor tissue or in other tissues.
40. Sr.Sr.
No.No.
Disease/TissueDisease/Tissue MarkersMarkers
11 Bladder cancerBladder cancer BTA, NMP22, CEA, CA125, CA19-9BTA, NMP22, CEA, CA125, CA19-9
22 Breast cancerBreast cancer CA15-3, CEA, CA27-29CA15-3, CEA, CA27-29
33 Colorectal cancerColorectal cancer CEA, CA 19-9CEA, CA 19-9
44 GestationalGestational HCGHCG
55 Liver cancerLiver cancer AFPAFP
66 Lung CancerLung Cancer CEA, NSECEA, NSE
77 Melanoma sink cancerMelanoma sink cancer TA-90, S100TA-90, S100
88 Multiple myelomaMultiple myeloma B2MB2M
99 Ovarian CancerOvarian Cancer CA125, CA72-4, HCG, AFPCA125, CA72-4, HCG, AFP
1010 Pancreatic CancerPancreatic Cancer CA 19-9, CEACA 19-9, CEA
1111 Prostate CancerProstate Cancer PSA, PAPPSA, PAP
1212 Gastric CancerGastric Cancer CEACEA
1313 Testicular CancerTesticular Cancer HCG, AFP, PAPHCG, AFP, PAP
List of commonly used TMs
42. Immuno-histochemistry has been utilized extensively to
determine estrogen, progesterone and Her-2 neu receptor status
in breast cancer in predicting response to therapy (Diaz, Leslie et
al.,2005)
Detection of over expression of c-erbB2 oncoproteins by ICH in
canine mammary tumour.( Mayilkumar K et al ,.2009)
Immuno- histochemistry(IHC)
IHC based on specific antigenic determinants in the cell of tissue by use
of polyclonal or monoclonal antibodies.(Ramos-Vara et al., 2005)
43. Immunohistochemistry (IHC)
• Ag + [Ab + fluorescent dye]
• Detection of protein of tumors
by using specific antisera &
MCAb directed against them.
• Detection of surface receptors to
intracellular matrix to hormone
can be detected with ease.
• Help ti determine the primary
site of metastatic tumor.
(Ramos-Vara et al., 2005)
44. A single gene chip can even hold representative fragments from the entire human
genome.
47. • Present in perfectly normal conditions
• Act as chaperones making sure that
the cell’s proteins are in the right shape
and in the right place at the right
time.
• HSPs also help to shuttle proteins
• Transport old proteins to “garbage
disposals” /proteasome inside the cell.
Heat shock Protein
48. • For normal function
of p53 it require
transient interaction
of Hsp 90 and then
degraded
• Mutation of p53
• Mutated p53 have
unstableconformation
• Extended interaction
with Hsp 90 and prevent
their normal degradation
• Accumulation of mutant
p53
49. • Over-expression of HSP70 and HSP90
correlates with a bad prognosis of tumor
• Overexpression of HSP27 in leukemia
osteosarcoma ovarian cancer, prostate
cancer
• Overexpression of HSP70 indicates high
grade malignancy
50. According to the US National Cancer Institute (OTIR, 2006)
“Nanotechnology willchange the very foundations of cancer diagnosis,
treatment, and prevention”
NANOTECHNOLOGY IN CANCER
51. . Nanotechnology will make possible to run test without physically
altering the cells or tissue
52. Cancer nanotechnology is emerging as a new field of interdisciplinary
research, cutting across the disciplines of biology, chemistry,
engineering, and medicine, and is expected to lead to major advances
in cancer detection, diagnosis, and treatment .(Menon U, Jacobs IJ.
2000, Ferrari M. 2005.)
Schematic diagram showing nanotechnology applications in cancer through
molecular tumor imaging, early detection, molecular diagnosis, targeted therapy,
and cancer bioinformatics
54. Nanodevices Can Improve Cancer
Detection and Diagnosis
ImagingNanotechnology Physical Exam,
Symptoms
55. Nanodevices Can Improve Sensitivity
and determine
which cells are
cancerous or
precancerous.
Precancerous cells
Normal cells
Nanodevices
could potentially
enter cells
Precancerous cells
Normal cells
56. Nanodevices Can
Preserve Patients’ Samples
Cells from patient
Cells preserved
Active state preserved
Cells altered
Active state lost
Additional tests
Cells from patient
Nanotechnology Tests
Traditional Tests
61. Conclusion
1.Histopathology remains the standard conventional
method.
2. Recent technique such as imaging ,ICH ,PCR ,flow
cytometry ,FISH, CSH ,and microarry nanotechnalogy
contribute a major break through in diagnosis prognosis
of cancer.
3.In future a multimodal imaging approach will evolve,
enhancing diagnostic accuracy thus minimizing loss of
lives due to cancer.
62. Cosmic Energy essential to maintain the order of our life and expand
our consciousness, it is base for our all action and functions and to
lead healthy and happy life. To remove all disorder of body. More
cosmic energy is obtained through MEDITATION.
Editor's Notes
Most animal cells are 10,000 to 20,000 nanometers in diameter. This means that nanoscale devices (less than 100 nanometers) can enter cells and the organelles inside them to interact with DNA and proteins. Tools developed through nanotechnology may be able to detect disease in a very small amount of cells or tissue. They may also be able to enter and monitor cells within a living body.
Detection of cancer at early stages is a critical step in improving cancer treatment. Currently, detection and diagnosis of cancer usually depend on changes in cells and tissues that are detected by a doctor’s physical touch or imaging expertise. Instead, scientists would like to make it possible to detect the earliest molecular changes, long before a physical exam or imaging technology is effective. To do this, they need a new set of tools.
In order to successfully detect cancer at its earliest stages, scientists must be able to detect molecular changes even when they occur only in a small percentage of cells. This means the necessary tools must be extremely sensitive. The potential for nanostructures to enter and analyze single cells suggests they could meet this need.
Many nanotechnology tools will make it possible for clinicians to run tests without physically altering the cells or tissue they take from a patient. This is important because the samples clinicians use to screen for cancer are often in limited supply. It is also important because it can capture and preserve cells in their active state. Scientists would like to perform tests without altering cells, so the cells can be used again if further tests are needed.
Miniaturization will allow the tools for many different tests to be situated together on the same small device. Researchers hope that nanotechnology will allow them to run many diagnostic tests simultaneously.