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20231120010244.0 |
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|a 1023743764
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|a 9780128136744
|q (electronic bk.)
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|a 012813674X
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|z 9780128136737
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|a (OCoLC)1022945228
|z (OCoLC)1023743764
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|z (OCoLC)1229809983
|z (OCoLC)1235840815
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|a 2018 D-919
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|a QZ 203
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|2 bisacsh
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0 |
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|a 571.9/78
|2 23
|
| 100 |
1 |
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|a Kareva, Irina,
|e author.
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| 245 |
1 |
0 |
|a Understanding cancer from a systems biology point of view :
|b from observation to theory and back /
|c Irinia Kareva.
|
| 264 |
|
1 |
|a London, United Kingdom :
|b Academic Press, an imprint of Elsevier,
|c 2018.
|
| 300 |
|
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|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 588 |
0 |
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|a Online resource; title from PDF title page (EBSCO, viewed February 15, 2018)
|
| 500 |
|
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|a Includes index.
|
| 505 |
0 |
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|a Front Cover; UNDERSTANDING CANCER FROM A SYSTEMS BIOLOGY POINT OF VIEW; UNDERSTANDING CANCER FROM A SYSTEMS BIOLOGY POINT OF VIEW: From Observation to Theory and Back; Copyright; Dedication; CONTENTS; 1 -- Introduction; A PRIMER ON MATHEMATICAL MODELING: PREDATOR-PREY; ESTIMATING PARAMETERS; 2 -- Tumor Dormancy; INTRODUCTION; MODELING PARAMETRICALLY HETEROGENEOUS POPULATIONS: PARAMETER DISTRIBUTION TECHNIQUE; PARAMETERS AND DISTRIBUTIONS; Choice of Initial Distribution; Parametrically Heterogeneous Malthusian Growth; Parametrically Heterogeneous Logistic Growth
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| 505 |
8 |
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|a Parametrically Heterogeneous Allee GrowthDistribution of Growth Parameter c; Distribution of Carrying Capacity l; Distribution of Parameter m; PRIMARY DORMANCY, METASTATIC DORMANCY, BOTH OR NEITHER?; GETTING BACK TO THE QUESTION; REFERENCES; 3 -- Cancer Immunoediting: A Process Driven by Metabolic Competition as a Predator-Prey-Shared Resource Type Model; BACKGROUND; MODEL DESCRIPTION; MODEL INVESTIGATION: USING THE MODEL TO ANSWER QUESTIONS; Brief Introduction to Dynamical Regimes; Aerobic and Glycolytic Tumor Cells Can Cooperate to Defeat the Immune System
|
| 505 |
8 |
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|a WE WROTE AND ANALYZED THE MODEL. NOW WHAT?PHARMACOKINETIC AND PHARMACODYNAMIC MODELING; Drug Pharmacokinetics; INCLUDING THE EFFECTS OF VARIOUS IMMUNOTHERAPEUTIC INTERVENTIONS; Increased Immune Stimulation Can Be Sufficient to Control Tumor Size but not to Eliminate It; High Death Rates of Immune Cells Can Promote Tumor Growth; GETTING BACK TO THE QUESTION; REFERENCES; 4 -- Blood Vessel Formation and Pathological Angiogenesis as Mitigated by Competing Angiogenesis Regulators; INTRODUCTION; NORMAL BLOOD VESSEL FORMATION; WHAT HAPPENS IN TUMORS?
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| 505 |
8 |
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|a USING MATHEMATICAL MODELING FOR HYPOTHESIS TESTINGMODEL DESCRIPTION; PARAMETER ESTIMATION; NORMAL BLOOD VESSEL FORMATION; The Effects of Tumor-Induced Inflow of Angiogenesis Regulators; Comparison With Previously Reported Experimental Data; SUMMARY; REFERENCES; 5 -- Angiogenesis Regulators as a Possible Key to Accelerated Growth of Secondary Tumors Following Primary Tumor Res ... ; INTRODUCTION; Model Description; SENSITIVITY ANALYSIS; RESULTS; Time to Surgery and Time to Metastases; THERAPEUTIC IMPLICATIONS; REFERENCES; 6 -- Cancer as a Systemic Disease That Requires a Systemic Approach
|
| 505 |
8 |
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|a ORIGINS OF MAXIMUM TOLERATED DOSE PROTOCOL FOR CHEMOTHERAPY ADMINISTRATIONWHAT DO WE NOW KNOW ABOUT MOST SOLID TUMORS?; CANCER AS AN ECOSYSTEM: LESSONS FROM CONSERVATION BIOLOGY; METRONOMIC (MAINTENANCE) CHEMOTHERAPY AS A WAY TO TARGET TUMOR MICROENVIRONMENT; DECREASED ANGIOGENESIS; IMPROVED ANTITUMOR IMMUNITY; DECREASED THERAPEUTIC RESISTANCE; CLINICAL TRIALS; POTENTIAL SYNERGY BETWEEN IMMUNOTHERAPY AND CHEMOTHERAPY; CYTOTOXIC T-LYMPHOCYTE ANTIGEN-4 INHIBITION; PD-1, PD-L1, AND PD-L2 INHIBITION; COMBINATION: METRONOMIC CHEMOTHERAPY AND CHECKPOINT INHIBITORS
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| 504 |
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|a Includes bibliographical references and index.
|
| 650 |
|
0 |
|a Cancer
|x Molecular aspects.
|
| 650 |
|
0 |
|a Systems biology.
|
| 650 |
1 |
2 |
|a Neoplasms
|x genetics
|0 (DNLM)D009369Q000235
|
| 650 |
1 |
2 |
|a Neoplasms
|x physiopathology
|0 (DNLM)D009369Q000503
|
| 650 |
1 |
2 |
|a Systems Biology
|x trends
|0 (DNLM)D049490Q000639
|
| 650 |
2 |
2 |
|a Computational Biology
|x trends
|0 (DNLM)D019295Q000639
|
| 650 |
2 |
2 |
|a Models, Theorectical
|
| 650 |
|
2 |
|a Systems Biology
|0 (DNLM)D049490
|
| 650 |
|
6 |
|a Cancer
|x Aspect mol�eculaire.
|0 (CaQQLa)201-0212614
|
| 650 |
|
6 |
|a Biologie syst�emique.
|0 (CaQQLa)000260964
|
| 650 |
|
7 |
|a SCIENCE
|x Life Sciences
|x Anatomy & Physiology.
|2 bisacsh
|
| 650 |
|
7 |
|a Cancer
|x Molecular aspects.
|2 fast
|0 (OCoLC)fst00845397
|
| 650 |
|
7 |
|a Systems biology.
|2 fast
|0 (OCoLC)fst01745552
|
| 655 |
|
4 |
|a Internet Resources.
|
| 655 |
|
4 |
|a Charts.
|
| 776 |
0 |
8 |
|i Print version:
|a Kareva, Irina.
|t Understanding cancer from a systems biology point of view.
|d London, United Kingdom : Academic Press, an imprint of Elsevier, 2018
|z 0128136731
|z 9780128136737
|w (OCoLC)993636281
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128136737
|z Texto completo
|
