Increased expression of integrin-linked kinase is correlated with melanoma progression and poor patient survival.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Integrin-linked kinase (ILK), a key component of the extracellular matrix adhesion, has been studied extensively in recent years. Overexpression of ILK in epithelial cells results in anchorage-independent cell growth with increased cell cycle progression. Furthermore, increased ILK expression is correlated with progression of several human tumor types, including breast, prostate, and colon carcinomas. However, the role of ILK overexpression in human melanoma pathogenesis is not known. To investigate whether ILK plays a role in melanoma progression, we measured ILK expression in primary melanoma biopsies at various stages of invasion and evaluated the prognostic value of ILK expression in human melanoma. EXPERIMENTAL DESIGN: We used tissue microarray and immunohistochemistry to determine ILK expression in 67 primary melanomas and analyzed the correlation between ILK expression and melanoma progression and 5-year patient survival. RESULTS: We show that strong ILK expression is significantly associated with melanoma thickness. Strong ILK expression was observed in 0, 22, 33, and 63% in melanoma biopsies </=0.75, 0.76-1.50, 1.51-3.0, and >3.0 mm in thickness, respectively. Furthermore, strong ILK expression was detected in 83% of the tumors with lymph node invasion compared with only 18% for tumors without lymph node invasion (P < 0.01). Strikingly, our data revealed that strong ILK expression is inversely correlated with 5-year patient survival (P < 0.05). CONCLUSION: ILK expression increases dramatically with melanoma invasion and progression and is inversely correlated with patient survival.
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.
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 | 0.001 |
| 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) | 0.000 | 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 it