This document discusses liver carcinogenesis and the use of rat and mouse models. It provides an overview of carcinogenesis as a multistage process involving initiation, promotion, and progression. It then focuses on rodent hepatocarcinogenesis, describing the progression from foci of altered hepatocytes to adenomas to carcinomas. Several animal models used to study hepatocarcinogenesis are outlined, including chemically induced and genetically engineered models. Factors that influence tumor development like age, sex, and strain differences in rodents are also summarized.
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.
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.
The presentation aims to be of introductory level. Classification of tumor markers along with brief description of selected tumor markers are provided.Applications and methods are listed but not discussed at length.
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
2D CAT Based Modeling of Tumour Growth and Drug TransportEditor IJMTER
The transition of normal cells in the tissue that leads into tumour and spreads throughout
depending upon its behavioural conditions is a complex biological process studied through the use of
both in vivo and in vitro experimentation. Mathematical models provide the approach by using a
controlled environment in which a system can be described quantitatively. This can also yield data
which predicts the behaviour of cells and likely medical conditions after thorough analysis by the
modeller. In an effort to study the characteristics that increase cell fitness, the paper presents a 2D
Cellular Automaton model that uses computer simulation to describe the invasion of healthy tissue
by cancer cells. The growth process is simulated and it was found that movement of cells affects
tumour growth rate. It was also found that the relative distance of the tumour initiation area from
neighbouring vessels influences the growth of tumour. The model and the simulation software
developed thus can be used to understand the dynamics of early tumour growth and to explore
various hypotheses of tumour growth relevant to drug delivery in chemotherapy. Importantly, this
approach highlights that vessel displacement should not be neglected in tumour growth models. The
paper thus presents two models i.e cancer growth model and drug transport model for tumour growth
and treatment that will help to diagnose the early tumour growth. Though cancer is uncurable;early
and quick detection of cancer will help doctors in better way by suggesting quick remedial action
against it.
The presentation aims to be of introductory level. Classification of tumor markers along with brief description of selected tumor markers are provided.Applications and methods are listed but not discussed at length.
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
2D CAT Based Modeling of Tumour Growth and Drug TransportEditor IJMTER
The transition of normal cells in the tissue that leads into tumour and spreads throughout
depending upon its behavioural conditions is a complex biological process studied through the use of
both in vivo and in vitro experimentation. Mathematical models provide the approach by using a
controlled environment in which a system can be described quantitatively. This can also yield data
which predicts the behaviour of cells and likely medical conditions after thorough analysis by the
modeller. In an effort to study the characteristics that increase cell fitness, the paper presents a 2D
Cellular Automaton model that uses computer simulation to describe the invasion of healthy tissue
by cancer cells. The growth process is simulated and it was found that movement of cells affects
tumour growth rate. It was also found that the relative distance of the tumour initiation area from
neighbouring vessels influences the growth of tumour. The model and the simulation software
developed thus can be used to understand the dynamics of early tumour growth and to explore
various hypotheses of tumour growth relevant to drug delivery in chemotherapy. Importantly, this
approach highlights that vessel displacement should not be neglected in tumour growth models. The
paper thus presents two models i.e cancer growth model and drug transport model for tumour growth
and treatment that will help to diagnose the early tumour growth. Though cancer is uncurable;early
and quick detection of cancer will help doctors in better way by suggesting quick remedial action
against it.
Normalization of Tumor Microenvironment in Hepatocellular Carcinoma
Oral presentation made at the 2016 World Gastrointestinal Cancer Symposium in Barcelona by Eric Raymond MD, PhD at Saint-Joseph Hospital. This presentation comprehensively updates drugs targeting the microenvironment such as antiangiogenic agents such as VEGF/VEGFR inhibitors, stromal signaling inhibitors such as HGF/c-MET, FGF19/FGFR4, TGF-beta targeting agents and immunotherapy such as PD1/PDL1 and CTLA4 inhibitors in hepatocellular carcinoma. This presentation is aimed at targeting physicians, scientists, students, and experts in pharmas who are interested in drug development in this area of oncology.
nside Myriad. At Myriad, our goal is to make a difference in patients' lives and our work has been guided by this mission throughout the Company's history. ... Since 1991, Myriad has invested heavily in educating patients and healthcare professionals about the role genes and proteins play in disease.
Colorectal cancer is extremely common. Symptoms include blood in the stool and change in bowel habits. Screening using one of several methods is recommended for appropriate populations. Diagnosis is by colonoscopy. Treatment is surgical resection and chemotherapy for nodal involvement.
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.
Adverse, Non-adverse and Adaptive Responses in Toxicologic Pathology - JSTPJeremy Maronpot
Discussion of definitions of adversity followed by defining NOAELs using practical case examples of adverse, non-adverse and adaptive responses along with how to deal with lesion reversibility and exacerbation of background lesions in preclinical toxicology studies. Includes comments on justifying results to regulatory authorities.
Adverse, Non-adverse and Adaptive Responses in Toxicologic Pathology-JSTPJeremy Maronpot
Discussion of definitions of adversity followed by defining NOAELs using practical case examples of adverse, non-adverse and adaptive responses along with how to deal with lesion reversibility and exacerbation of background lesions in preclinical toxicology studies. Includes comments on justifying results to regulatory authorities.
Adverse, Non-adverse and Adaptive Responses in Toxicologic Pathology - JSTPJeremy Maronpot
Discussion of definitions of adversity followed by defining NOAELs using practical case examples of adverse, non-adverse and adaptive responses along with how to deal with lesion reversibility and exacerbation of background lesions in preclinical toxicology studies. Includes comments on justifying results to regulatory authorities.
http://focusontoxpath.com/adverse-responses/
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.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
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.
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
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.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
2. Global Importance of Liver Cancer
• 6th most common cancer type worldwide
– 3rd most common cause of cancer death
worldwide
• 748,300 new liver cancer cases in 1980
– 695,900 liver cancer related deaths
– 70-80 % hepatocellular carcinoma
– Highest incidence in Asia and sub-Saharan Africa
3. Liver 57 %
Lung 22 %
Kidney 22 %
Mammary gland 14 %
Hematopoeitic 13 %
Forestomach 12 %
Thyroid 10 %
Vascular System 9 %
Evidence of carcinogenic activity
(n=290 out of ~600 NTP rat & mouse
carcinogenicity studies)
4. Unlike the situation with human hepatocellular
carcinoma, rodent hepatocellular carcinoma
development is usually not secondary to
infections (with some exceptions).
6. Overview of Carcinogenesis
• Complex disease with multiple causes
• Influenced by multiple intrinsic and
extrinsic factors
• Multistep progressive process at the
genetic and phenotypic level
7. Causes of Cancer
• Infection (viruses and parasites)
• Genes and gene mutations
• Enhanced cell proliferation
• Chemicals
• Hormones
• Radiation
• Diet and life style
• Sunlight
8. ure 6.
FIGURE 7. Intrinsic and extrinsic factors modulating specific gene expression and its effect on
tissue phenotype and function.
GENE
PHENOTYPIC &
FUNCTIONAL
EFFECTS
Intrinsic
Modulating Factors
• Metabolism
• Receptors
• Differentiation receptors
• Signal transduction
• DNA repair
• Cell-cell communication
• Growth factors
• Cytokines
• Angiogenesis
• Inflammation
• Chemical agents
• Physical agents
• Viruses
• Radiation
• Diet
• Life style
• Bacteria
• Parasites
Extrinsic
Modulating FactorsRNA
Protein
Effect on Cell
Effect on Tissue
Effect on Organism
Modulating Factors
9. Modulating Factorsre 6.
FIGURE 7. Intrinsic and extrinsic factors modulating specific gene expression and its effect on
tissue phenotype and function.
GENE
PHENOTYPIC &
FUNCTIONAL
EFFECTS
Intrinsic
Modulating Factors
• Metabolism
• Receptors
• Differentiation receptors
• Signal transduction
• DNA repair
• Cell-cell communication
• Growth factors
• Cytokines
• Angiogenesis
• Inflammation
• Chemical agents
• Physical agents
• Viruses
• Radiation
• Diet
• Life style
• Bacteria
• Parasites
Extrinsic
Modulating FactorsRNA
Protein
Effect on Cell
Effect on Tissue
Effect on Organism
Cellproliferation
17. Figure 1. Serum ALT levels 24 hours after dosing with APAP (300mg/kg) or vehicle (0.5%
methylcellulose).
From I. Rusyn, University of North Carolina
18. Sex Differences in Liver Positive 2-Year
Bioassays
• 54 Liver positive rat bioassays
– 13 (24%) in males
– 8 (15%) in females
– 33 (61%) in both sexes
• 120 Liver positive mouse bioassays
– 14 (12%) in males
– 37 (31%) in females
– 69 (57%) in both sexes
19. Age-related lesions
(Male B6C3F1 mouse)
Mice with lesions (%)
Age (mos) Focus Adenoma Carcinoma
< 12 0 0 0
12-18 12 17 5
18-24 31 32 18 24-
30 21 46 34
30-36 28 63 34
Harada, et al. In: Pathology of the Mouse, Maronpot; Ed. 1999
20. Age-related lesions
(F344 rats)
lesion (%)
Age (mos) Focus Adenoma Carcinoma
6 50 %
12 80 %
> 12 100 % 1% 1%
Eustis, et al. In: Pathology of the Fisher rat, Boorman, et al.; Ed. 1990
21. Susceptible Intermediate Resistant
Fischer F344 Sprague Dawley Copenhagen
Donryu Wistar DRH
August Brown Norway
Marshall
Wistar-Kyoto
Wood, et al. 2002. Carcinogenesis 23(1):1-9.
-foci don’t progress; no diff apoptosis rates;
polygenic, modifier genes; role of oval cell.
Rat strain sensitivity
23. Relative susceptibilities of selected strains to
liver tumor induction
High susceptibility Intermediate
susceptibility
Relatively resistant
C3H C57BR/cdJ BALB/c
CBA FVB C57BL/6
B6C3F1 SM/J C57BL/10
DBA/2 (infant model) P/J 129
Tif:MAGf CE/J DBA/2 (> 5 weeks old)
C3H x CBA LP SWR
CBA x C57BL/10 AKR/J A
C3H x A/J CD-1 IF
DBA/2 x CE/J NMRI RF
LP x 129 A x C57BL/6
LP x DBA/2 C57BL x A
LP x C57BL/10 A x C57BL/10
129 x DBA/2 C57BL/6 x BALB/c
28. Progression
• Foci of cellular alteration
– Earliest proliferative lesions
– Initially increase in number and then decrease
• Adenomas
– Some arise within foci
– Increase in prevalence before carcinomas
– Some remain and some progress to carcinomas
• Carcinomas
– Some arise within adenomas
– Increase in prevalence after emergence of adenomas
– Rate of increased prevalence similar to that of adenomas
30. Initiated cell? Focus of cellular
alteration
Hepatocellular
adenoma
Hepatocellular
carcinoma
Carcinoma arising
in an adenoma
Adenoma arising
in a focus
33. Defining Diagnostic Criteria
• What is hyperplasia versus neoplasia in the broad context of
toxicologic pathology
– There is a range of change
– Diagnoses determined by training, published literature, and
experience
– The greater the experience, the broader the ranges of non-neoplastic
and benign
NORMAL
PATHOLOGICAL HYPERPLASIA
AND PRENEOPLASIA
ADENOMA
CARCINOMA
36. Rodent Models of
Hepatocarcinogenesis
• Variety of models used to study factors
influencing development of hepatocellular
carcinoma (HCC)
– Pathogenesis of HCC
– Metastasis
– Identification of key pathways
– Identification of key mediators
– Identification of new treatment modalities
37. Rodent Models for Liver Tumor
Induction
• Conventional bioassays
– CD-1, B6C3F1, NMRI, C57BL/10
• Single/multiple doses to adult rats
• Neonatal mouse model
• Initiation-promotion models
– Necrogenic dose of initiator
– Initiator after partial hepatectomy
– Neonatal initiation
• Genetically engineered models
38. Mouse Models of
Hepatocarcinogenesis
• Xenograft models – HCC lines in SCID mice
• Orthotopic models
• Transgenic GEM models
– Viral: HBV, HCV
– Cell cycle related: p53 KO + liver specific factors
– C-myc; c-myc+E2F-1; c-myc+TGFa; SV40 T Ag
– Telomere dysfunction models
– Pathway-specific models: Wnt/b-catenin; IGF2; HGF
• Chemically induced models: choline deficiency;
DEN, 2-AAF, Vinyl carbamate
39. Chemically Induced Models
• Neonatal mouse model
• Solt-Farber rat model
• Medium-term rat liver focus model
Based on Initiation and Promotion Protocols
42. Chemically Induced Models
• Neonatal mouse model
• Solt-Farber rat model
• Medium-term rat liver focus model
43. Chemically Induced Models
• Neonatal mouse model
– IP injection of 15-day old mice with DEN or VC*
– Endpoints – basophilic foci (G-6-P’ase negative),
adenomas, carcinomas
– Foci in less than 18 weeks; adenomas in less than
40 weeks, carcinomas in less than 56 weeks
• Solt-Farber rat model
• Medium-term rat liver focus model
* Genotoxic agents; not necrogenic
44. Vinyl Carbamate (VC) Studies
Newborn Mouse Model
• Single intraperitoneal dose of vinyl
carbamate at day 15
• 0.03 and 0.15 M VC/ gram body weight
• No further treatment
• Periodic sacrifice of mice over a 24-30
month period
52. Chemically Induced Models
• Neonatal mouse model
• Solt-Farber rat model
• Medium-term rat liver focus model
53. Solt-Farber 1976 Model
Presence of
basophilic foci
+
_
_
_
Basal diet Basal diet plus 0.02% AAF
DEN
DEN
DEN
SALINE
PH
PH
PH
SH
1 week
1 week
1 week
1 week
54. Chemically Induced Models
• Neonatal mouse model
• Solt-Farber rat model
• Medium-term rat liver focus model
– Necrogenic dose of DEN at 6 weeks
– Treatment with test substance 2 weeks later
– Partial hepatectomy 1 week later
– Treat with test substance for 5 more weeks
– Quantitate PGS-T foci
– (Note: Doesn’t work for peroxisome proliferators)
64. Medium-Term Multi-organ Model
• Dose sequentially with DEN, MNU, and DHPN
• Then given test agent for 14 weeks with sacrifice at 18
weeks
– DEN – liver
– DHPN – thyroid, lung, kidney, urinary bladder, lung
– MNU – thyroid, urinary bladder, hematopoietic
• Dose sequentially with DHPN, EHEN, and DMAB
• Then given test agent for 16 weeks
• DHPN – thyroid, lung, kidney, urinary bladder, lung
– EHEN – kidney
– DMAB - prostate