Effect of steroid and serum starvation on a human breast cancer adenocarcinoma cell line.
Bibliographic record
Abstract
OBJECTIVE: Breast cancer is one of the most frequent cancers in women. Although there are many treatment protocols for this disease, there are still many patients who do not respond satisfactorily to the current treatment protocols. A better understanding of the nature of the tumor cells might provide a guide for better therapeutic procedures. In this study, the effect of metabolic stress was assessed on the human adenocarcinoma MCF-7 cell line. The cells were seeded in culture plates and after reaching log phase of their growth, cells were exposed to phenol red free-media supplemented with 10%, 0.5%, 0.25% and 0% charcoal-treated serum for 1 to 6 consecutive days. At 24-hour intervals, the cells' ability to proliferate (trypan blue assay), cells mitochondrial content (MTT assay) and intracellular protein content (SRB assay) was assessed. In each day of the study, the cells were released in complete media containing 10% serum for 24 hours and the effect of release was observed on cells. This study showed reduced basal growth rate and proliferation in response to harsh environmental conditions. Protein content of the cells also decreased. Mitochondrial content/activity of the cells however did not decrease, but instead a relative increase was observed at some time points. Releasing the cells caused increased cell proliferation in media with up to 0.5% serum, with an increase in intracellular protein content, although no significant mitochondrial function increase was observed. The results of this study confirm the adaptation of MCF-7 cells to environmental harsh conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".