CD20 Expression Is Associated with Higher Risk of Early Relapse at 1 Year Following Chemotherapy Treatment for Adolescent and Adult Acute Lymphoblastic Leukemia Patients
Bibliographic record
Abstract
Abstract Introduction: It is extremely significant to predict treatment outcomes using a biomarker. The prognostic significance of CD20 expression is controversial. In this study, we attempted to evaluate the impact of CD 20 expression on treatment outcomes in large cohort of adolescents and adults patients with acute lymphoblastic leukemia (ALL) treated with chemotherapy only in one single center. Methods: A total of 172 adolescent and adult patients with newly diagnosed B precursor ALL receiving CALGB based chemotherapy protocol between year 2001 and July 2014 at our Centre were evaluated for the expression of CD20 and it is impact on treatment outcomes. Anti-CD20 monoclonal antibody use were not part of the chemotherapy protocol at our Centre. Patients underwent hematopoietic stem cell transplantation were excluded from the analysis, a total of 83 patients were finally included in the analysis. CD20 expression at diagnosis of 20% in blast population was used as cutoff to stratify patients as CD20 positive (CD20+) versus CD20 negative (CD20-) group. Results: Median age for all patients is 21 years (range, 14-62), 41% (n=34) were females. Median WBC at diagnosis was 8 (range, 0.4-244), 28% (n=23) had WBC >30. Philadelphia (Ph) chromosome was negative for 75 patients (86%) while positive for 12 patients (14%). Day 28 blasts <5% was for 78 patients (90%), 5% with blasts >5 (n=5) and missing for 4 patients (5%). A median follow-up of 3.7 years for survivors (range, 1-11) showed 29 patients (35%) had CD20+ versus 54 patients (65%) was CD20-. Comparison of patient's characteristics between the two groups were similar for gender, age, median WBC at diagnosis, median LDH, Ph chromosome, CNS involvement and primary refractoriness at day 28 of chemotherapy. The cumulative incidence of relapse at 1 year for CD20+ was 42% versus 15% (p=0.05) for + CD20- (Figure 1) while 5 years relapse rate was 55% versus 58%, respectively, suggesting higher incidence of 1 year relapse in CD20+ group. The overall survival for CD20+ was 39% versus 50% for CD20- (P=0.18). In Univariate analysis for One-year relapse, CD20 expression was significant factor (p=0.02, HR=2.97). Multivariate analysis confirmed CD20 as an independent adverse risk factor for relapse at 1 year (p=0.02, HR 2.97). For 5-years relapse, male gender (p=0.03, HR 2.1) and age >30 years (p=0.05, HR2.38) were found to be independent factors but not CD20 expression. Conclusion: The present study showed that the overall incidence of CD20 expression in B-ALL is 35%. Also, it suggested that in non-HSCT patients, CD20 expression at a diagnosis is associated with higher risk of early relapse at one year, which was confirmed by multivariate analysis. Further study is strongly warranted to confirm the prognostic role of CD20 and to evaluate the importance of anti-CD20 monoclonal antibodies in a prospectively designed study. Figure 1. Cumulative incidence of relapse at 1 year (A) and at 5 years (B) Figure 1. Cumulative incidence of relapse at 1 year (A) and at 5 years (B) Figure 2. Figure 2. Figure 3. Figure 3. Disclosures Kim: Bristol-Myers Squibb: Consultancy, Research Funding; Novartis Pharmaceuticals: Consultancy, Research Funding.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".