Gastric Cancer - Deifinition , epidemiology , histological types and molecular genetics and WHO update
Reference - WHO Classificiation of tumors of Digestive system
Rosai and Ackermann
The stomach J-shaped. It has two surfaces (the anterior & posterior), two curvatures (the greater & lesser), two orifices (the cardia & pylorus). It has fundus, body and pyloric antrum.
Blood supply
The left gastric artery
Right gastric artery
Right gastro-epiploic artery
Left gastro-epiploic artery
Short gastric arteries
Stomach cancer begins when cancer cells form in the inner lining of your stomach. These cells can grow into a tumor. Also called gastric cancer, the disease usually grows slowly over many years.
It could be:
malignant or benign
primary or secondary
The stomach J-shaped. It has two surfaces (the anterior & posterior), two curvatures (the greater & lesser), two orifices (the cardia & pylorus). It has fundus, body and pyloric antrum.
Blood supply
The left gastric artery
Right gastric artery
Right gastro-epiploic artery
Left gastro-epiploic artery
Short gastric arteries
Stomach cancer begins when cancer cells form in the inner lining of your stomach. These cells can grow into a tumor. Also called gastric cancer, the disease usually grows slowly over many years.
It could be:
malignant or benign
primary or secondary
CARCINOMA STOMACH
INCIDENCE
‘It is the captain of men of death’.
It is more common in Japan—70 per 1,00,000 population.
It is more common in males 2:1.
Decrease incidence in western world
CANCER: A REVIEW: WORLD'S SECOND MOST FEARED DIAGNOSISCharu Pundir
It is a basic review presentation on cancer, world's second most dreadful disease followed by cardiovascular events, involving basic defination, pathophysiology, screening methods, types of tumor, tumor origin, cancer cell lines, treatment, recent advancements made in the field and diagnosis.
Endometrial Ca classification and histopathological features , CAP protocol for reporting , grading and staging tumors
Reference - Robbins , Rosai & Ackerman , Sternberg ,Fletcher ,WHO classification of tumors of female reproductive system, CAP
Histopathological Grossing of Kidney Tumors with the common gross differentials encountered,
reference - TATA memorial grossing techniques , Rosai and ackerman surgical pathology , Fletcher , Springer histopathology Specimen
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Richard's aventures in two entangled wonderlandsRichard 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.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
2. DEFINITION - malignant epithelial neoplasms.
• Biologically & genetically heterogeneous group of multifactorial
etiologies (environmental and genetic)
• broad morphological heterogeneity with respect to patterns of
architecture and growth,cell differentiation and histogenesis.
• Sporadic(90%),Familial (10%) and Hereditary (1%)
EPIDEMIOLOGY - 7.8% of cancers worldwide
INCIDENCE HIGH INCIDENCE LOW INCIDENCE
Criteria > 60/1lacmales <15/1lacpopulation
Distribution eastern Asia , eastern Europe
and central and Latin America
North America, northern Europe,
Africa and south-eastern Asia
Type of Carcinoma "intestinal " type "diffuse" type
Site of Carcinoma Antrum & pylorus Proximal Stomach (cardia)
Proportion of Early
Gastric Cancer
High Low
3. TIME TRENDS-
• steady decline in incidence and mortality over the last 15 years.
• absolute incidence rate continues to rise(advancing age)
• incidence of "tubular" adenocarcinoma has decreased
• incidence of "diffuse" carcinoma localized to the proximal stomach
has been increasing
AGE & SEX DISTRIBUTION-
• >50yrs age ,M=F
• Young – hereditary, diffuse type, F>M
LOCALIZATION -
• Mc site -antro-pyloric
• Reporting of Ca of "cardia" is likely to change d/t revision of the TNM
classification of G-E junction (2009)
• if the epicentre of tumour is within 5 cm of the oesophagogastric
junction and extends into the distal oesophagus, the tumour should
be staged as an oesophageal carcinoma.
4. ETIOLOGY –
Environmental Factors:
• Infection by H. pylori
• Diet• Nitrites derived from nitrates (water, preserved food),Smoked and
salted foods, pickled vegetables, chili peppers
• Low socioeconomic status
• Cigarette smoking
Host Factors:
• Chronic gastritis
• Partial gastrectomy
• Gastric adenomas
40% harbor cancer at time of diagnosis
30% have adjacent cancer at time of diagnosis
• Barrett esophagus
Genetic Factors
• Slightly increased risk with blood group A
• Family history of gastric cancer
• Hereditary non-polyposis colon cancer syndrome
• Familial gastric carcinoma syndrome (E-cadherin mutation)
5. Precursor Lesions-
H.Pylori ass. Chronic gastritis Atrophy
A) Gastritis
• Autoimmune gastritis develops secondary to the development
of autoantibodies to parietal and chief cells and thus affects the
body fundic mucosa.
• Ass. with the formation of intestinal metaplasia and an
increased risk of developing gastric carcinoma( intestinal type)
Intestinal MetaplasiaNEOPLASIA
6. B) Intestinal Metaplasia
• 2 main types – Complete & Incomplete
• Complete – IHC expression of MUC2 (intestinal) and decreased
MUC1,MUC5AC & MUC6 (gastric)
• Incomplete – Gastric mucins are coexpressed with MUC2
• positive correlation between degree & extent of incomplete intestinal
metaplasia with risk of progression to carcinoma
• Spasmolytic polypeptide-expressing metaplasia (SPEM)
• expression of TFF2 spasmolytic polypeptide is associated with
oxyntic atrophy
• SPEM –characteristically develops in the gastric body and fundus,
share some characteristics with pseudopyloric metaplasia
• strong association with chronic infection with H pylori and with
gastric adenocarcinoma
• another pathway to gastric neoplasia .
9. B) For Tumor Staging
• Screening- Barium meal ,Endoscopy, Serum pepsinogen
• Tumor Staging –
Endoscopic USG (T stage)
CT-PET / CT Alone ( N and M stage)
MACROSCOPY-
• Borrmann Classification
10.
11. HISTOPATHOLOGY -
• various histopathological classification schemes
• MC used -WHO and Lauren
• Others - Ming , Nakamura ,Mulligan, Goseki and Carneiro
Stromal reactions -
• 4 common stromal responses to invasive gastric carcinoma
a) marked desmoplasia
b) lymphocytic infiltration
c)stromal eosinophilia
d)granulomatous response.
• Density of tumor infiltrating lymphocytes - Predictive of regional
lymph-node metastasis with improved outcome
Grading-
• applies primarily to tubular and papillary carcinomas
• Well , Moderately , Poorly Differentiated
• Low Grade (well & moderately diff.) and High Grade (poorly diff.)
12. LAUREN CLASSIFICATION
C ) Mixed - approximately equal quantities of intestinal and diffuse
components
D ) Indeterminate -Undifferentiated tumours.
13. Intestinal Type (53%)-
• wide range in the degree of differentiation, correlates inversely with
tumor size
• better differentiated tumors-columnar and mucin secreting ,stimulate
a complete-type intestinal metaplasia, ciliated
• Poorly differentiated variants -solid pattern.
• Variable mucin production
• stroma infiltrated
by neutrophils
or histiocytes
14. Diffuse-type (23%)-
• linitis plastica , currently as signet ring adenoca
• prepyloric area. Pyloric obstruction often
• Microscopically, a diffuse growth of malignant cells
• associated with extensive fibrosis
and inflammation
• most tumor cells grow individually
or in linear arrays
• Intracytoplasmic mucin,
signet ring cell appearance
• Pools of extracellular mucin may
present
17. TUBULAR ADENOCARCINOMA –
• dilated or slit-like,branching tubules
• columnar, cuboidal. or flat tumor cells
• nuclear atypia - low- to high-grade
• Poorly differentiated variant - solid carcinoma.
• Variants – Clear cell , carcinoma with lymphoid stroma,
medullary carcinoma or lymphoepithelioma-like carcinoma .
• Variable desmoplasia.
18. PAPILLARY ADENOCARCINOMA -
• well-differentiated exophytic carcinoma with elongated finger-like
processes
• cylindrical or cuboidal cells supported by fibrovascular connective
tissue cores,maintained polarity
• Tubular (papillotubular) differentiation.
• Variable cellular atypia and mitotic index.
• Sharply demarcated edges invading the tumour
• may be infiltrated by acute and chronic inflammatory cells.
19. Mucinous adenocarcinoma -
• Malignant epithelium
• extracellular mucinous pools.
• > 50% extracellular mucin.
Poorly cohesive carcinomas,
including signet ring cell ca
and other variants-
• Signet-ring cell type –central optically clear, globoid droplet of
cytoplasmic mucin with an eccentrically placed nucleus.
• may form a lace-like gland or delicate microtrabecular pattern in
the mucosa or marked desmoplasia in deeper levels of the
stomach wall.
20. • Other variants - tumours composed of neoplastic cells resembling
histiocytes or lymphocytes;
• others have deeply eosinophilic cytoplasm;
• some poorly cohesive cells may show irregular, bizarre nuclei.
• A mixture of the different cell types can be present. including few
signet-ring cells.
21. MIXED CARCINOMA-
• mixture of discrete morphologically
identifiable glandular & poorly-
cohesive cellular histological
components.
• Any discrete histological component
should be reported
• signet-ringcomponent is associated
with a poor prognosis.
• Clonal ,somatic mutation in the
E-cadherin gene ( COH1),
restricted to the signet-ring/poorly-cohesive component.
22. SO-CALLED EARLY CARCINOMA-
• carcinoma confined to the mucosa or/and submucosa ,regardless of
the LN status
• measure 2-5 cm ,located on the lesser curvature,around the angulus
• If untreated,progress over a few months to several years
• Tubular(50%) and papillary (30%) variants
• usually depressed or ulcerated
23.
24. TUMOR SPREAD & STAGING-
• Intestinal type – haematogenously to the liver.
• Diffuse cancers–serosal & LVI & LN metastasis .
• Invade duodenum (submucosal & subserosal routes)
• Ca penetrates the serosa - peritoneal implants
• Krukenberg tumour- transperitoneal or haematogenous
• Nodal dissection for detection & removal of metastatic
disease and appropriate staging.
• Accuracy of pathological staging - proportional to the no.
of regional LNs examined & their anatomical location in
relation to the neoplasm.
25. • MODIFICATIONS IN STAGING-
1) Subdivision of T1 into mucosal & submucosal depth
of invasion.
2) T2a and T2b were separated into T2(muscularis
propria) and T3 (subserosa);
3) T3 and T 4 were changed to T4a(penetrates serosa)
and T 4b (invades adjacent structures), respectively
4) T, N, and M categories almost identical to those for
the oesophagus except that N3 (metastasis in 7 or
more regional lymph nodes) is divided into N3a (7-
15 nodes) and N3b (> 16 nodes) for gastric ca only .
26.
27. GENETIC SUSCEPTIBILITY-
• Familial diffuse gastric cancer - AD inheritance ,germline mutation of
the E-cadherin gene
• Hereditary diffuse gastric cancer, newly introduced
• Dominantly inherited cancer predisposition syndromes - FAP and
Lynch syndrome, Li-Fraumeni syndrome with germline mutation of
TP53
• Peutz-Jeghers with frameshift mutations in STK 11 gene develop
aggressive gastric cancer
• Carriers of mutations in MSH2- increased risk
• Finally, susceptibility to carcinogens and their precursors varies
among individuals. Ex- polymorphisms of genes encoding for
glutathione S-transferase enzymes (known to metabolize tobacco
related carcinogens) and N-acetyltransferase 1
28. MOLECULAR PATHOLOGY-
• characterized by genetic and epigenetic changes
that affect oncogenes, tumour suppressor genes,
and DNA mismatch repair (MMR).
• deregulation of cellular proliferation, adhesion,
differentiation, signal transduction, telomerase
activity, and DNA repair has been reported.
• Different genetic pathways have been described for
various histological types of gastric cancer.
29. Promoter methylation, acetylation & Demethylation-
• Aberrant CpG island promotor methylation of several genes
• CDKN2A (p16) gene hypermethylation – 12-30% cases ,
reduced expression – depth of invasion and metastasis.
• Hypermethylation with reduced expression of the RARB
gene -60-65% of "intestinal" carcinomas
• Hypermethylation of RUNX3 - 45-65% of cancers
• Aberrant acetylation is frequently detected in H3 and H4
histone genes
• Demethylation of MAGE - advanced adenocarcinoma
SNCG- LN metastasis
30. Microsatellite instability (MSI)-
• defects in the MMR system responsible for the
correction of mismatches that occur during DNA
replication.
• In gastric cancer. MSI is mainly caused by epigenetic
silencing (promoter methylation) of the MLH1 gene
• observed in 5-10% "diffuse" carcinomas
15-40% "intestinal" carcinomas.
• Gastric carcinomas with a High MSI-antral
location,"intestinal" phenotype and expanding
growth pattern.
• MSI High tumors - better prognosis than MSl-low
31. • Molecular profiling of gastric cancer has been
performed using gene expression or DNA
sequencing, but has not led to a clear biologic
classification scheme.
• study by The Cancer Genome Atlas (TCGA) -
developed a robust molecular classification of
gastric cancer
32. Molecular subtypes:
A)Tumours Positive For Epstein–barr Virus,
• Recurrent PIK3CA mutations
• extreme DNA hypermethylation
• amplification of JAK2, CD274 (also known as PD-L1)
and PDCD1LG2 (also known as PD-L2);
B)Microsatellite unstable tumours
• elevated mutation rates
• mutations of genes encoding targetable oncogenic signalling
proteins
C)Genomically stable tumours
• diffuse histological variant
• mutations of RHOA or fusions involving RHO-family GTPase-
activating proteins
D)Tumours with chromosomal instability - MC
• marked aneuploidy
• focal amplification of receptor tyrosine kinases.
33. Identification of these subtypes provides a roadmap for
patient stratification and trials of targeted therapies.
34. HEREDITARY DIFFUSE GASTRIC CANCER-
• Autosomal dominant cancer susceptibility syndrome
• Characterized by signet ring cell (diffuse) gastric cancer & lobular
breast cancer
• Germline mutations of E-Cadherin (CDH-1 ) gene
Developmental Model:
• Mild non atrophic gastritis
• Insitu signet ring cell carcinoma
• Pagetoid spread of signet ring cells
• Invasive Carcinoma
35.
36.
37. • Diagnosis of HOGC offers the opportunity for pre-
symptomatic genetic screening for at-risk family
members and life-saving cancer risk-reduction
surgery for carriers of CDH1 mutations.
• Through the study of prophylactic gastrectomy
specimens, it has provided a unique window to
study the earliest stage of diffuse gastric cancer