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Results for “tumor evolution”

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At least 55 records · Page 3Linked to original sources
PubMed1996

Evolution of tumor necrosis factor-alpha serum concentrations in HIV infected individuals treated with zidovudine.

We studied the evolution of Tumor Necrosis Factor-alpha serum concentration (TNF-alpha) and CD4+ lymphocyte counts (CD4+) in a pilot cohort study of HIV-infected patients during the first year of zidovudine therapy. Data on 17 patients remaining asymptomatic during the one-year follow-up period (non progressors) were analysed. Serum samples were obtained at entry and at each follow-up visit (1, 3, 6, 9 and 12 months). TNF-alpha was quantified in pg/ml using a very sensitive radioimmunoassay (Medgenix). All patients had increased TNF-alpha at entry (median: 26.4 pg/ml). TNF-alpha decreased significantly as soon as the first month of therapy (median: 16 pg/ml). A steady state was then observed until Month 6 (median: 17.5 pg/ml), from which a slow increase appeared, without reaching the initial level (median at Month 9: 21.3, at Month 12: 19.8). During the same time, less sustained changes in CD4+ lymphocytes count and beta-2 microglobulin level were observed. The results of this pilot study suggest that, during HIV infection treated course, TNF-alpha could potentially be an additional surrogate marker to CD4+ lymphocyte count.

Anti-HIV Agents↗
PubMed2000

Analysis of tumor cell evolution in a melanoma: evidence of mutational and selective pressure for loss of p16ink4 and for microsatellite instability.

Tumorigenesis and tumor progression can be considered an evolutionary process. In order to deduce information on the mutational and selective pressures during melanoma progression we performed microsatellite analysis at 42 autosomal and two X-linked loci in a microdissected primary melanoma and its nine metastases. Loss of heterozygosity at locus D9S259 was the only genetic change observed in all metastases. The pattern of loss of heterozygosity at loci D9S162 and D9S171 within the region of common loss on chromosome 9p21 which encompasses the tumor suppressor gene p16ink4 enabled the distinction of four genetically different tumor cell populations. Three cell lineages showed homozygous loss of the p16ink4 gene, which evolved independently in each tumor cell population within the primary tumor. Additional allele losses could be demonstrated at markers D14S53 and DXS998. The fourth lineage did not demonstrate loss of heterozygosity at loci D9S162 and D9S171 and contained the wild type p16ink4 gene but was characterized by abundant microsatellite instability. The evolutionary approach towards tumorigenesis and tumor progression used in this study thus confirms the role of p16ink4 inactivation for melanoma progression but not for melanoma initiation; it suggests the existence of additional putative tumor suppressor genes located on 9p as well as on the long arm of chromosome 14 and shows that microsatellite instability may represent an alternative pathway of tumor cell evolution in malignant melanoma.

Carrier Proteins↗
PubMed2001

Chromosome 22q dosage in composite extrarenal rhabdoid tumors: clonal evolution or a phenotypic mimic?

Composite extrarenal rhabdoid tumors (CERTs) represent a diverse group of neoplasms with rhabdoid shape in combination with one of several distinctive tumor types. Like the classic renal and extrarenal malignant rhabdoid tumor (MRT), as well as the atypical teratoid/rhabdoid tumor (AT/RT) of the central nervous system, CERTs typically show aggressive clinical behavior. Deletions and mutations of the INII gene on 22q11.2 have been identified in most classic MRTs and AT/RTs; however, it is not known whether the rhabdoid components in CERTs have similar genetic abnormalities. Using fluorescence in situ hybridization (FISH) on archival, paraffin-embedded tissue with a commercially available probe in close proximity to the INII locus (bcr), as well as other chromosome 22 probes, we studied 4 cases of MRT, 13 of AT/RT, and 16 of CERT (3 melanoma, 4 meningioma, 7 carcinoma, 1 rhabdomyosarcoma, and 1 neuroblastoma). Deletion of the 22q11.2 locus was demonstrated in 10 (77%) of 13 AT/RTs and 3 (75%) of 4 MRT, including 1 congenital MRT. Of the 16 CERTs, only 2 (a rhabdoid meningioma and a carcinoma with rhabdoid features; 13%) harbored a deletion at this locus. This difference was statistically significant (P <.001). We conclude that deletion of 22q11.2, typical of most classic MRTs and AT/RTs, is infrequently seen in CERTs. This suggests that the rhabdoid component of CERTs does not evolve by way of the genetic alteration characteristic of MRTs or AT/RTs, but represents instead a distinct phenotype shared by a number of tumors as they undergo anaplastic progression.

Adolescent↗
PubMed1985

The subpopulations and isolated cell types of freshly resected high grade human gliomas: their influence on the tumor's evolution in vivo and behavior and therapy in vitro.

Human malignant gliomas are karyotypically heterogeneous, composed of many cellular populations and isolated cell types identifiable by cytogenetic techniques. The distributions of cell types vary in high grade tumors. Some tumors are primarily near-diploid (35-57 chromosomes per cell), while others are hyperdiploid with chromosome numbers ranging from 58 to several hundred chromosomes per cell. Regional studies of several tumors suggest that the heterogeneity is not random. Anatomically different regions result from the combination of cellular distribution and their evolution over time. The karyotypic pattern of gliomas also reflects the tumor's evolution from a relatively homogeneous population of near-diploid cells to the hyperdiploid tumor that is removed by the neurosurgeon. The in vitro studies also suggest that there are phenotypic correlates to the karyotypic pattern of the tumor cells. Hyperdiploid cells are unstable in culture, tend to grow rapidly with short doubling times, and are often sensitive to such chemotherapeutic agents as BCNU. In contrast, the near-diploid cells are more normal in appearance, are stable in culture, grow slowly with long doubling times, are more likely to be resistant to the nitrosoureas and ultimately are the 'stem' cells that repopulate the tumor mass.

Carmustine↗
PubMed1991

Genetic events in breast cancer and their clinical correlates.

The great heterogeneity of clinical breast cancer probably reflects heterogeneity of the mechanisms that are involved in its genesis and in disease progression. Genetic events that may be critical for tumor etiology, may determine tumor characteristics, and may contribute to tumor evolution should differ among individuals and among individual tumors and may distinguish subgroups with varying prognoses. We approach this problem from two viewpoints: one is based on population studies and the other on genetic events at the cellular level. 1. Population-based questions: What susceptibility factors are associated with individuals and groups who develop tumors? Inheritance patterns, familial aggregates, and associations with other tumors and other genetic diseases have been described for breast cancer. Bilateral and multifocal tumors may be examples of inherited predisposition, and their clinical and biological characteristics should be informative. Are there associations with tumor identifiers, such as histologic type and other tumor markers, for any of the "increased susceptibility" states? 2. Tumor-derived information: What types and frequencies of genetic alterations are found; do they relate to stage of tumor evolution, to morphologic classification, or to clinical evidence of comparative malignancy? Genetic evaluation depends upon cytogenetic and cytometric methods at the cellular level, and on detection of mutation, gene deletion, or amplification at the molecular level. We examine whether observed genetic alterations suggest mechanistic bases for morphologic distinctions among breast cancers and whether they assist in defining clinical phenotypes or steps in tumor progression. The general conclusions are that breast cancer comprises a complex set of neoplasms, that there is as yet little evidence to favor a final common pathway for its origin, and that a wide range of biological perturbations underlie its clinical course in the individual patient. An understanding of the basic mechanisms, their variety, and which of them apply in individual cases, is necessary as a rational basis for classification and for the development of strategies to interfere with tumor development in high-risk individuals.

Breast Neoplasms↗
PubMed2005

Multistep skin cancer in mice as a model to study the evolution of cancer cells.

Although much of cancer research relies on Nowell's clonal evolution hypothesis as a conceptual framework, large gaps remain in understanding how tumors develop. The multistage skin cancer model in mice provides continuing insight on fundamental aspects of tumor evolution. In this model, mutation of the oncogene Hras is frequently the initiating event while mutation of the tumor suppressor p53 is a late event, associated with malignant progression. Recent evidence demonstrates that intracellular signaling from the initial Hras mutation leads directly to the activation of p53, creating selective pressure in favor of cells with mutant p53. Thus, selection for subsequent mutations is mechanistically linked to the initial mutation, explaining the preferred order of mutational events observed. Analysis of this model also reveals that a diverse array of signals can selectively impair or enhance clonal expansion of Ras mutant cells into a visible neoplasm. These modifiers can be genetic, physiological, or environmental and are often highly specific to tumor cells. This indicates that tumor cells have an inherent reduced capacity to buffer against perturbations. Reduced buffering may play an important role in both tumor evolution and therapy response and may be a hallmark of cancer cells.

Animals↗
PubMed2025

Bayesian inference of fitness landscapes via tree-structured branching processes.

MOTIVATION: The complex dynamics of cancer evolution, driven by mutation and selection, underlies the molecular heterogeneity observed in tumors. The evolutionary histories of tumors of different patients can be encoded as mutation trees and reconstructed in high resolution from single-cell sequencing data, offering crucial insights for studying fitness effects of and epistasis among mutations. Existing models, however, either fail to separate mutation and selection or neglect the evolutionary histories encoded by the tumor phylogenetic trees. RESULTS: We introduce FiTree, a tree-structured multi-type branching process model with epistatic fitness parameterization and a Bayesian inference scheme to learn fitness landscapes from single-cell tumor mutation trees. Through simulations, we demonstrate that FiTree outperforms state-of-the-art methods in inferring the fitness landscape underlying tumor evolution. Applying FiTree to a single-cell acute myeloid leukemia dataset, we identify epistatic fitness effects consistent with known biological findings and quantify uncertainty in predicting future mutational events. The new model unifies probabilistic graphical models of cancer progression with population genetics, offering a principled framework for understanding tumor evolution and informing therapeutic strategies. AVAILABILITY AND IMPLEMENTATION: The Python package FiTree and the analysis workflows are available at https://github.com/cbg-ethz/FiTree.

Bayes Theorem↗
PubMed2006

Simulating complex tumor dynamics from avascular to vascular growth using a general level-set method.

A comprehensive continuum model of solid tumor evolution and development is investigated in detail numerically, both under the assumption of spherical symmetry and for arbitrary two-dimensional growth. The level set approach is used to obtain solutions for a recently developed multi-cell transport model formulated as a moving boundary problem for the evolution of the tumor. The model represents both the avascular and the vascular phase of growth, and is able to simulate when the transition occurs; progressive formation of a necrotic core and a rim structure in the tumor during the avascular phase are also captured. In terms of transport processes, the interaction of the tumor with the surrounding tissue is realistically incorporated. The two-dimensional simulation results are presented for different initial configurations. The computational framework, based on a Cartesian mesh/narrow band level-set method, can be applied to similar models that require the solution of coupled advection-diffusion equations with a moving boundary inside a fixed domain. The solution algorithm is designed so that extension to three-dimensional simulations is straightforward.

Algorithms↗
PubMed2026

Metabolic convergence of diabetes and prostate cancer: from dysglycemia to tumor microenvironment reprogramming.

The relationship between diabetes mellitus and prostate cancer (PC) represents one of the most intriguing paradoxes in cancer epidemiology, with diabetic individuals exhibiting a reduced incidence of PC yet poorer prognosis following diagnosis. This apparent contradiction underscores the need for an integrated understanding of how systemic metabolic dysfunction influences prostate carcinogenesis and disease progression. The present review critically synthesizes contemporary epidemiological, mechanistic, and translational evidence to establish metabolic convergence as a unifying framework linking diabetes-associated metabolic abnormalities with PC biology. Current evidence indicates that chronic dysglycemia, hyperinsulinemia, insulin resistance, and endocrine perturbations orchestrate interconnected intracellular signaling networks involving PI3K-AKT-mTOR, AMPK, AGE-RAGE signaling, oxidative stress, mitochondrial dysfunction, and epigenetic reprogramming, collectively driving metabolic adaptation and tumor evolution. Beyond tumor-intrinsic mechanisms, diabetes profoundly remodels the prostate tumor microenvironment through alterations in stromal metabolism, cancer-associated fibroblast activation, adipocyte-tumor crosstalk, extracellular matrix (ECM) remodeling, hypoxic adaptation, and vascular dysfunction, while simultaneously promoting immunometabolic reprogramming characterized by macrophage polarization, T-cell dysfunction, immune checkpoint activation, and immune evasion. The review further examines the bidirectional interactions between antidiabetic therapies and PC treatment, critically evaluating the translational potential of metformin and emerging glucose-lowering agents within the context of precision metabolic therapeutics. Finally, future directions encompassing biomarker-guided patient stratification, longitudinal metabolic profiling, multi-omics integration, artificial intelligence, and clinically relevant mechanistic validation are discussed as essential components of next-generation precision oncology. Collectively, this review reframes diabetes as an active metabolic determinant of PC rather than a coincidental comorbidity and highlights metabolism-centered precision strategies as promising avenues for improving risk stratification, therapeutic decision-making, and clinical outcomes in diabetes-associated PC.

Humans↗
PubMedDate not supplied

Immune reactivity during the growth of a murine lung adenocarcinoma: evaluation of paraneoplastic syndrome development.

The purpose of this study was to investigate if specific immune responses were present in mice bearing a lung adenocarcinoma that presents paraneoplastic syndromes during tumor evolution. Leukocytosis, mainly due to polymorphonuclear leukocytes, was found from day 15 of tumor growth. Delayed type hypersensitivity response and increased interleukin-6 (IL-6) serum levels were observed along tumor growth. Concomitant immunity, specific rejection of a second inoculum and in vitro specific cytotoxicity occurred at 20 days of implant. In advanced stages of tumor evolution impaired cytotoxicity, accompanied by a great increase of IL-6 in serum, were observed. Role of polymorphonuclear leukocytes and IL-6 overproduction as responsible for immune dysregulation and paraneoplastic syndromes are discussed.

Adenocarcinoma↗
PubMed2003

Matrix metalloproteinases and tumor progression.

The matrix metalloproteinases (MMPs) are a family of more than 20 distinct enzymes that are frequently overexpressed in human tumors. Functional studies have shown that MMPs play an important role in the proteolytic destruction of extracellular matrix and basement membranes, thereby facilitating tumor invasion and metastasis. In addition, these enzymes may also be important in other steps of tumor evolution including neoplastic cell proliferation and angiogenesis stimulation. On the basis of the relevance of MMPs in tumor progression, a number of different strategies aimed to block the unwanted activity of these enzymes in cancer have been developed. Unfortunately, most clinical trials with the first series of MMP inhibitors have failed to show clear benefit in patients with advanced cancer. Explanations for this lack of success include the failure to recognize the role of these enzymes in early stages of the disease as well as inadequacy of either the employed inhibitors or the proteases to be targeted. The introduction of novel concepts such as tumor degradome, and global approaches to protease analysis, may facilitate the identification of the relevant MMPs that must be targeted in each individual cancer patient. On the other hand, the finding that MMPs are enzymes whose effects on biologically active substrates can have profound consequences on cell behaviour, suggests that selective inhibition of a limited set of MMPs at early stages of tumor evolution might be much more effective than using wide-spectrum inhibitors active against most family members, and administered to patients at late stages of the disease. Further studies directed to elucidate these questions will be necessary to clarify whether any of the multiple strategies of MMP inhibition may be part of future therapeutic approaches to control tumor progression.

Animals↗
PubMed1982

Evolution of tumor cell heterogeneity during progressive growth of individual lung metastases.

The metastatic properties of tumor cell clones isolated from individual lesions of B16 melanoma metastatic to lung have been examined at different stages in the evolution of metastasis. Clonal analysis of metastatic lesions produced by B16 melanoma populations containing clones with identifiable, stable drug-resistance markers revealed that the majority (greater than 80%) of experimental metastases produced by intravenous injection of tumor cells are of unicellular origin. During the early stages of their growth (less than 25 days after initial tumor cell arrest), the majority of metastatic lesions contain cells with indistinguishable metastatic phenotypes (intralesional clonal homogeneity) although different clonally homogeneous lesions from the same host contain tumor cells with different metastatic phenotypes (interlesional clonal heterogeneity). Progressive growth of metastatic lesions is accompanied by emergence, within originally clonally homogeneous lesions, of variant tumor cells with altered metastatic properties (intralesional clonal heterogeneity). By 40-45 days after initial arrest of injected tumor cells in the lung, 90% of the metastatic lesions are populated by cells with heterogeneous metastatic phenotypes.

Animals↗
PubMed1990

Chromosomal evolution and tumor progression in a myxoid liposarcoma.

A myxoid liposarcoma showed macroscopic, histologic, and cytogenetic heterogeneity. In one of three myxoid nodules and in the surrounding lipoma-like tumor tissue, the translocation t(12;16)(q13;p11), known to be specific for myxoid liposarcoma, was found as the sole chromosomal abnormality. In the other two nodules, additional rearrangements involving chromosomes 1, 12, and 16 were found. These aberrations were probably secondary to the primary t(12;16), and are cytogenetic evidence of clonal evolution. The complex chromosome aberrations were present in those tumor parts that had more malignant histology, indicating that the acquisition of secondary chromosomal aberrations parallels the histologic manifestations of tumor progression.

Chromosome Aberrations↗