Lymphatic Vessel Density as a Prognostic Marker in Clinical Stage I Endocervical Adenocarcinoma
Bibliographic record
Abstract
There are limited data evaluating the significance of lymphatic vessel density (LVD) as a prognostic marker in cervical adenocarcinoma. In this study, we investigated intratumoral and peritumoral LVD, using the lymphatic marker D2-40, as a prognostic marker in endocervical adenocarcinoma. Surgical specimens from 50 consecutive patients with endocervical adenocarcinoma treated with complete staging surgical procedures were reviewed. Selected tumor blocks were immunostained for D2-40 and CD31. Positively stained microvessels (MVs) were counted in densely vascular/lymphatic foci (hot spots) at 400x field in each specimen (0.17 mm). Results were expressed as the highest MV count identified within any single field. Both intratumoral CD31 MV and peritumoral D2-40 LVD showed significant correlation with depth of invasion (r=0.39, 0.37, respectively), percentage of circumferential involvement (r=0.36, 0.48, respectively), and lymphovascular invasion detected by D2-40 (r=0.45, 0.51, respectively; P<0.01). Only peritumoral D2-40 LVD showed a significant correlation with lymph node metastases (r=0.40; P<0.01), disease-free and overall survivals. Using univariate analysis, peritumoral D2-40 LVD showed significant correlation with lymphovascular invasion detected by D20-40 and lymph node metastases (P<0.05), which was maintained on multivariate analysis. D2-40 detected lymphovascular invasion in 16 of 50 (32%) cases, and showed a significant correlation with depth of invasion, lymph node metastases, involvement of parametrium (r=0.41, 0.38, 0.32, respectively; P<0.01), and disease-free survival. Our study showed that both angiogenesis and lymphangiogenesis play an important role in the progression of endocervical adenocarcinoma, and that peritumoral D2-40 LVD is an independent predictor of lymph node metastasis.
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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) | 0.000 | 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 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".