Vascularization Predicts Overall Survival (OS) & Risk of Transformation (RT) in Uniformly Treated Patients with Follicular Lymphoma (FL).
Bibliographic record
Abstract
Abstract Introduction: FL is an indolent disease with heterogeneous survival. Transformation is asscoiated with short survival. In solid tumors, tumor angiogenesis is required for tumor growth/metastasis and microvessel density (MVD) has, in some tumor types, shown correlation with poor OS. In FL, the impact of MVD on prognosis is controversial. Recent studies have highlighted the effect of the microenvironment on FL prognosis including ours which showed that high numbers of lymphoma-associated-macrophages (LAM) are associated with adverse outcome. Because LAM have been shown to promote angiogenesis and neoplastic growth, we used a quantitative tumor mapping approach to determine whether the degree of vascularization in FL correlated with adverse outcome. Method: Between 1987 and 1993, 126 pts were enrolled on a phase II study of BP-VACOP with involved region radiotherapy. All pts were treatment naïve, < 61y and had advanced-stage FL. Paraffin blocks of the diagnostic biopsies were available for 105 pts. Images of whole sections stained for CD34 were captured using a cooled CCD camera, a motorized stage, and customized NIH-Image software. The motorized stage allowed for tiling of adjacent microscope fields of view, thereby allowing reassembly of the entire tumor section at high-resolution. The distance from each point in the tissue to the nearest CD34+ pixel was measured and the tumor to vessel distance that encompassed 90% of the tumor (TVD90) calculated. A TMA was immunostained with S100A8/Calgranulin A-specific antibody, a M2-like macrophage marker, to determine a subset of LAM. Univariate & multivariate analyses were used to determine OS and RT. Results: There were 84 evaluable cases. The median follow-up of the living patients was 14.3 y and the estimated 10-y OS and RT were 65% and 20%, respectively. The IPI was predictive of OS (RR =3.4, 95% CI =1.8–6.3, p < 0.001) and RT (RR =3.3, 95% CI =1.3–7.9, p = 0.01). Histologic grade included 66 grade 1, 14 grade 2 and 4 grade 3a. Cases revealed TVD90 of 50.3 to 144 microns (median 78.4) and were divided into quartiles. A subset of 14 cases showed high density of S100A8+ cells (> 5 per high power field). In univariate analysis the quartile (21 cases) with low TVD90 (i.e. high MVD) showed inferior OS (p < 0.001) and high RT (p = 0.012). Cases with high density of S100A8+ LAM also had inferior OS (p = 0.04), but the high density did not predict RT (p = 0.4). A Cox multivariate model with IPI, S100A8+ score and TVD90 showed only IPI and TVD90 to be independent predictors of OS (RR = 2.9, 95% CI = 1.6–5.6, P = 0.001; RR = 2.4, 95% CI = 1.3–4.7, p = 0.009, respectively), but only TVD90 predicted RT (RR = 3.1, 95% CI = 1.2–7.6, p = 0.017). Interestingly, low TVD90 (i.e. high MVD) correlated with increased content of S100A8+ cells (χ2, p < 0.001). Conclusion: These results show that in FL, increased vascularization is independently associated with an adverse clinical outcome and, most importantly, predicts for increased RT. These findings may provide a rationale for trials of antiangiogenic therapy in “aggressive” FLs. Tumor to Vessel Distance (TVD) and Follicular Lymphoma Overall Survival & Risk of Transformation Tumor to Vessel Distance (TVD) and Follicular Lymphoma Overall Survival & Risk of Transformation
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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) | 0.001 | 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".