Abstract 846: Soluble levels of CD27 and CD30 are associated with risk of non-Hodgkin lymphoma in a pooled analysis of three prospective cohorts of Chinese men and women in Shanghai and Singapore
Bibliographic record
Abstract
Abstract Recent prospective studies conducted in Western populations among mostly Caucasians have suggested that higher levels of soluble CD27 (sCD27) and soluble CD30 (sCD30), two markers indicative of B-cell activation, are associated with risk of non-Hodgkin lymphoma (NHL), with significant associations persisting in individuals who were diagnosed with NHL >10 years after blood collection. However, there are currently no molecular epidemiologic data evaluating whether these biomarkers are associated with NHL risk in East Asian populations, in whom the descriptive characteristics of NHL in terms of subtype distributions and incidence rates are quite different from those in Western countries. To explore potential mechanistic commonalities for NHL in these populations, we conducted a pooled nested case-control study from three prospective studies of Chinese men and women including 218 NHL cases and 218 individually matched controls. Levels of sCD27 and sCD30 were measured in all study subjects at the same time using ELISA. Conditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) according to quartile levels of sCD27 or sCD30 in all study controls. An increased risk of NHL in the pooled population was observed for elevated levels of both sCD27 and sCD30. Compared to the lowest quartile, ORs (95% CIs) for the 2nd, 3rd, and 4th quartiles of sCD27 were 1.60 (0.83-3.09), 1.94 (0.98-3.83), and 4.45 (2.25-8.81), respectively (ptrend = 0.000005). The corresponding ORs (95% CIs) for sCD30 were 1.74 (0.85-3.58), 1.86 (0.94-3.67), and 5.15 (2.62-10.12) (ptrend = 0.0000002). These associations remained statistically significant in individuals diagnosed with NHL 10 or more years after blood draw. Notably, the magnitude of the associations with risk of NHL was very similar to those in Western populations in previous studies. These findings of the similar association between sCD27 or sCD30 and NHL risk across different populations support an important underlying mechanism of B-cell activation in lymphomagenesis. Citation Format: Bryan A. Bassig, Xiao-Ou Shu, Woon-Puay Koh, Yu-Tang Gao, Mark P. Purdue, Lesley M. Butler, Jennifer Adams-Haduch, Yong-Bing Xiang, Troy J. Kemp, Renwei Wang, Ligia A. Pinto, Tongzhang Zheng, Bu-Tian Ji, H. Dean Hosgood, Wei Hu, Gong Yang, Heping Zhang, Wong-Ho Chow, Christopher Kim, Wei Jie Seow, Wei Zheng, Jian-Min Yuan, Qing Lan, Nathaniel Rothman. Soluble levels of CD27 and CD30 are associated with risk of non-Hodgkin lymphoma in a pooled analysis of three prospective cohorts of Chinese men and women in Shanghai and Singapore. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 846. doi:10.1158/1538-7445.AM2015-846
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".