PubMed Health⌕ Search

PubMed · 8577308

Streaming organism.

Abstract

The cell kinetic characteristic of all epithelia is the same. All are analogs of the crypt-villus unit of the gastrointestinal mucosa. Each unit is nourished by at least one determined uncommitted stem cell (DS). When the DS divides, one of its progeny replaces the parent and remains a DS, while the other starts streaming outward. When entering a differentiation pathway it is called a committed stem cell (CS). Cells in the unit differentiate while streaming. Initially they continue multiplying and are called amplifying progenitors (P-cells), then they lose the capacity to synthesize DNA and become non-dividing (quiescent) end cells (Q-cells). All cells except the DS are transitional and short lived (in the crypt they live several days): only the DS is permanent. Since epithelial tissues are cell kinetic analogs of the crypt, it is assumed here that their neoplastic progression is analogous with the adenoma-carcinoma sequence of the crypt. Neoplasia starts when a normal cell is transformed into a neoplastic. If a transitional cell is hit by a carcinogen and transformed into a neoplastic, it soon will be washed out from the system. Only a transformed DS can maintain the neoplastic trait since it never leaves the crypt. Neoplasia is thus a pathology of the DS. There are two differentiation scales in the embryo: global and local. The first starts with the fertilized ovum that divides into stem cells that become more and more determined. Following gastrulation each determined stem cell generates its local progeny of transitional cells that make the tissue units. Determined stem cells are direct descendants of the fertilized ovum, while their transitional progenitors are direct descendants of determined stem cells.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G Zajicek. 1995. Streaming organism.. https://doi.org/10.1016/0306-9877(95)90105-1

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

HMGA proteins up-regulate CCNB2 gene in mouse and human pituitary adenomas.

The high mobility group As (HMGAs) belong to a family of nonhistone nuclear proteins that orchestrate the assembly of nucleoprotein complexes. Through a complex network of protein-DNA and protein-protein interaction, they play important roles in gene transcription, recombination, and chromatin structure. This protein family is involved, through different mechanisms, in both benign and malignant neoplasias. We have recently reported that transgenic mice carrying the Hmga1 or Hmga2 genes under transcriptional control of the cytomegalovirus promoter develop pituitary adenomas secreting prolactin and growth hormone. We have shown that the mechanism of the HMGA2-induced pituitary adenoma is based on the increased E2F1 activity. The expression profile of mouse normal pituitary glands and adenomas induced in HMGA transgenic mice revealed an increased expression of the ccnb2 gene, coding for the cyclin B2 protein, in the neoplastic tissues compared with the normal pituitary gland. Here, we show, by electrophoretic mobility shift assay and chromatin immunoprecipitation, a direct binding of HMGA proteins to the promoter of ccnb2 gene, whereas luciferase assays showed that HMGAs are able to up-regulate ccnb2 promoter activity. Finally, we report an increased CCNB2 expression in human pituitary adenomas of different histotypes that is directly correlated with HMGA1 and HMGA2 expression. Because cyclin B2 is involved in the regulation of the cell cycle, these results taken together indicate that HMGA-induced cyclin B2 overexpression gives an important contribution to experimental and human pituitary tumorigenesis.

Adenoma↗

Inhibition of lung carcinogenesis by 1alpha,25-dihydroxyvitamin D3 and 9-cis retinoic acid in the A/J mouse model: evidence of retinoid mitigation of vitamin D toxicity.

9-cis-Retinoic acid (9cRA) and 1alpha,25-dihydroxyvitamin D3 (1,25D) show promise as potential chemopreventive agents. We examined 9cRA and 1,25D, alone and in combination, for their potential to inhibit carcinogen (NNK)-induced lung carcinogenesis in A/J mice. A/J mice (n=14/group) were treated with 9cRA (7.5, 15, or 30 mg/kg diet), 1,25D (2.5 or 5.0 microg/kg diet), or a combination of 9cRA (15 mg/kg diet) plus 1,25D (2.5 microg/kg diet) for 3 weeks before and 17 weeks after carcinogen injection. Lung tumor incidence, tumor multiplicity, plasma 1,25D levels and kidney expression of vitamin D 24-hydroxylase (CYP24) were determined. Compared to carcinogen-injected controls, mice receiving 9cRA supplementation had significantly lower tumor multiplicity at all doses (decreased 68-85%), with body weight loss at the higher doses of 9cRA. Mice receiving 1,25D supplementation had significantly lower tumor incidence (decreased 36 and 82%) and tumor multiplicity (decreased 85 and 98%), but experienced significant body weight loss, kidney calcium deposition, elevated kidney CYP24 expression and decreased fasting plasma 1,25D levels. Although, there was no apparent influence on chemopreventive efficacy, addition of 9cRA to 1,25D treatment effectively prevented the weight loss and kidney calcification associated with 1,25D treatment alone. These data demonstrate that 9cRA and 1,25D, alone or combined, can inhibit lung tumor promotion in the A/J mouse model. Combining 1,25D with 9cRA has the potential to mitigate the toxicity of 1,25D, while preserving the significant effect of 1,25D treatment against lung carcinogenesis. The underlying mechanism behind this effect does not appear to be related to retinoid modulation of vitamin D catabolism.

Adenoma↗

A weighted logistic regression model for estimation of recurrence of adenomas.

In a colorectal polyp prevention trial, some participants might have their follow-up colonoscopy conducted before the scheduled time (i.e. at the end of the trial). This results in variable follow-up lengths for participants and the data of recurrence status at the end of the trial can be considered as current status data. In this paper, we use a weighted logistic regression model to estimate recurrence rate of adenoma data at the end of the trial. The weights are used to adjust for variable follow-up. We show that logistic regression tends to underestimate recurrence rate. In a simulation study, we show that Kaplan-Meier estimator derived from the right endpoint of the current status data tends to overestimate recurrence rate in contrast to logistic regression and the weighted logistic regression method can produce reasonable estimates of recurrence rate even under a high non-compliance rate compared to conventional logistic regression and Kaplan-Meier estimator. The method described here is illustrated with an example from a colon cancer study.

Adenoma↗