Class III β-tubulin expression in tumor cells predicts response and outcome in patients with non–small cell lung cancer receiving paclitaxel
Bibliographic record
Abstract
Both fundamental and clinical studies suggest that class III beta-tubulin expression is associated with resistance to taxanes and constitutes a prognostic factor in several solid tumors. In this study, we assessed the prognostic and predictive value of class III beta-tubulin in tumors of patients with locally advanced or metastatic non-small cell lung cancer (NSCLC) treated with paclitaxel-based or other regimens that did not include tubulin-binding agents. Expression of class III beta-tubulin was examined immunohistochemically in 91 tumor samples obtained before treatment from patients with stage III and IV NSCLC, including 47 who received paclitaxel-based regimens and 44 who received regimens without tubulin-binding agents. Response to chemotherapy, progression-free survival, and overall survival were correlated with the expression of class III beta-tubulin protein. The response rate was 37.5% (16 responses among 45 evaluable patients) among patients receiving paclitaxel. Patients whose tumors expressed low levels of class III beta-tubulin isotype had a better response rate, longer progression-free survival, and overall survival (P < 0.001, 0.004, and 0.002, respectively), whereas this variable was not found to be predictive in patients receiving regimens without tubulin-binding agents. A multivariate analysis taking into account sex, age, histology, stage, and class III beta-tubulin confirmed that low-level class III beta-tubulin expression was independently correlated with progression-free survival (P = 0.003) and overall survival (P = 0.003). These findings suggest that the expression levels of class III beta-tubulin in tumor cells is predictive of response to therapy and patient outcome in patients with NSCLC receiving paclitaxel-based chemotherapy but is not a general prognostic factor in this patient population.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".