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Record W6958798623 · doi:10.6084/m9.figshare.26612009

Additional file 1 of FGF1 supports glycolytic metabolism through the estrogen receptor in endocrine-resistant and obesity-associated breast cancer

2024· article· en· W6958798623 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Regulatory Analysis
Canadian institutionsJewish General HospitalUniversity of British Columbia
Fundersnot available
KeywordsBreast cancerFGF1Estrogen receptorCancerFulvestrantMultiplexCancer cell

Abstract

fetched live from OpenAlex

Additional file 1. Fig. S1 Analysis of human breast tumors. Kaplan–Meier curves of recurrence-free survival percent for all patients with breast cancer (A-B) or patients with ER-negative breast cancer (C-D) based on high or low SLC16A3/MCT4 (left) or GFM2 (right). Data analyzed by log rank test. Fig. S2 Steady-state phospho-proteomics analysis of ER-positive breast cancer cells. (A) Heatmap shows the hierarchical clustering of protein phospho-site abundance normalized to total protein data in MCF7 and MCF7 TAMR cells treated with Veh, E2 (10nM), or FGF1 (5ng/mL) for 15 minutes, emphasizing enriched phospho-proteins in E2-treated conditions. (B) Diagram of residues phosphorylated in MCF7 TAMR (green) versus MCF7 (pink) cells. (C) Heatmap shows the hierarchical clustering of protein phospho-site abundance normalized to total protein data in MCF7 and MCF7 TAMR cells treated with Veh, E2 (10nM), or FGF1 (5ng/mL) for 15 minutes, emphasizing enriched phospho-proteins in FGF1-treated conditions. (D) Diagram of residues phosphorylated in MCF7 TAMR (green) versus MCF7 (pink) cells treated with FGF1. For both diagrams, red sites are more phosphorylated in MCF7 TAMR and blue sites are more phosphorylated in MCF7 (decreased in MCF7 TAMR) in vehicle control conditions. The connecting lines represent high-stringency protein–protein interactions identified using STRING network analysis (see "Methods"). Fig. S3 Analysis of MAPK and ER in breast cancer cells. Full representative capillary immunoblot images of multiplex evaluation of vinculin (loading control), pER-S118, pER-S167, total ER, pMAPK, or total MAPK in MCF7 cells, MCF7 TAMR cells, or UCD12 cells treated with vehicle (Veh), E2 (10 nM), FGF1 (5 ng/mL), or E2+FGF1 for 15 minutes following an overnight starve. Fig. S4 Analysis of UCD12 tumors from LF- and HF-fed mice. (A) Light exposure capillary immunoblot images of pER-S118 along with pMAPK (top), or total ER along with total MAPK (bottom) in UCD12 tumor lysates from LF- or HF-fed mice treated with E2 or EWD. N=3 separate tumors per group. (B) Full representative capillary immunoblot image of UCD12 tumor lysates at a light exposure to show vinculin loading control.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8790.156

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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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