Glycosylated <scp>LGALS3BP</scp> is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker
Bibliographic record
Abstract
Bladder cancer incidence has recently risen, making it the ninth most diagnosed cancer, highlighting an urgent need for novel and effective diagnostic and therapeutic strategies to improve patient outcomes. Here, we report on a secreted glycoprotein, Galectin-3-binding protein (LGALS3BP), as a potential biomarker and therapeutic target for bladder cancer. We found a significantly elevated LGALS3BP expression in bladder cancer tissues, correlating with disease progression. Moreover, urinary and serum levels of LGALS3BP were significantly higher in patients compared to healthy individuals, with a strong correlation observed between elevated urinary protein levels and tumor grade. Of note, LGALS3BP produced by tumor cells treated with a mannosidase I inhibitor, Kifunensine, exhibited increased reactivity to a therapeutic antibody (denoted as "1959"), suggesting that glycosylation of LGALS3BP may influence antibody recognition and protein function. Furthermore, administration of 1959-sss/DM4 antibody-drug conjugate in two xenograft mouse models of human bladder cancer resulted in complete inhibition of tumor growth. In summary, findings presented here highlight LGALS3BP as a promising candidate for further investigation into its potential as a urinary biomarker and a therapeutic target for bladder cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".