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Record W4236415918 · doi:10.21203/rs.3.rs-76129/v1

Triple-Negative Breast Cancer (TNBC) Cell Metastasis is Controlled by the Opposing Actions of 5alpha-dihydroprogesterone (5alphap) and 3alpha-dihydroprogesterone (3alphahp) on Expression of Matrix Metalloproteinases and Tissue Inhibitors of Metalloproteinases

2020· preprint· en· W4236415918 on OpenAlexafffund
John Peter Wiebe, Jordan D Jarvis, Arthur Kwok

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsWestern University
FundersCanadian Institutes of Health ResearchCanadian Breast Cancer Research Alliance
KeywordsMatrix metalloproteinaseMetastasisTriple-negative breast cancerCell migrationCancer researchBreast cancerEstrogen receptorProgesterone receptorReceptorBiologyCellCancerChemistryMedicineInternal medicine

Abstract

fetched live from OpenAlex

<title>Abstract</title> BackgroundTriple receptor-negative breast cancers (TNBC) comprise up to 20% of all breast cancers and are the most aggressive mammary cancer subtype, marked by early-onset metastasis, high tumor recurrence rate, and low overall survival. Because TNBC cells lack expression of the estrogen receptor (ER), progesterone receptor (PR) and excess human epidermal growth factor receptor 2 (HER2), there have been no hormone-based explanations and therapeutics for TNBC. Our previous studies had shown that the endogenously produced hormones, 5αdihydroprogesterone (5αP) and 3α-dihydroprogesterone (3αHP), respectively, stimulate and inhibit TNBC cell proliferation and primary tumor development. Here we examined the role of 5αP and 3αHP in controlling metastasis of TNBC (MDA-MB-231)human breast cells. The objectives were to determine the effects of 5αP and 3αHP on TNBC cell (a) adhesion, migration and invasion and (b) expression of matrix metalloproteinases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs).MethodsMDA-MB-231 human breast cells were incubated in medium without (control) or with 5αP or 3αHP. Effects on adhesion were examined by previously validated detachment assays. Effects on migration and invasion were measured by transwell assays employing modified Boyden chambers. Effects on expression of MMP-2, MMP-9, TIMP-1 and TIMP-2 were determined by reverse transcription polymerase chain reaction (RT-PCR).Results5αP stimulated, whereas 3αHP suppressed, TNBC cell detachment, migration and invasion. 5αP stimulated expression of MMP-2 and MMP-9, and inhibited expression of TIMP-1 and TIMP-2, whereas 3αHP inhibited expression of MMPs and stimulated expression of TIMPS.ConclusionsHere we show for the first time that 5αP stimulates and 3αHP suppresses the key elements of metastasis (adhesion, migration, invasion) in TNBC cells, and that these opposing actions correlate with the opposing effects of these two hormones on MMP and TIMP expression. The results indicate that the relative concentrations of the cancer-promoter hormone (5αP) and the cancer-suppressor hormone (3αHP) in the breast microenvironment control TNBC cell metastasis, and suggest that blocking 5αP synthesis and increasing 3αHP concentrations in the breast microenvironment could provide the first hormone-based therapeutic regimen to arrest TNBC progression and metastasis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.391
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

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