Identification of TRA‐1‐60‐positive cells as a potent refractory population in follicular lymphomas
Bibliographic record
Abstract
Despite receiving rituximab-combined chemotherapy, follicular lymphoma (FL) patients often suffer tumor recurrence and understand that the cause of relapse in FL would thus significantly ameliorate the tumor therapeutics. In the present study, we show that TRA-1-60-expressing cells are a unique population in FL, converge to the conventional stem cell marker Oct3/4 and ALDH1-positive population, and resist current B-lymphoma agents. TRA-1-60 expression was observed in scattered lymphoma cells in FL tissues only as well as in resting B-lymphocytes inside germinal centers. Retrospective comparison between recurrent and cognate primary tissues showed that the number of TRA-1-60-positive cells from rituximab, cyclophosphamide, hydroxydaunorubicin, vincristine, and prednisone (R-CHOP)-treated FL had increased relative to primary tissue, a finding corroborated by assays on different rituximab-treated FL cell lines, FL-18 and DOHH2, wherein TRA-positive cell numbers increased over 10-fold compared to the untreated sample. Concordantly, scanty TRA-1-60-positive FL-18 cells implanted s.c. into mice evinced potent tumor-initiating capacity in vivo, where tumors were 12-fold larger in volume (P = 0.0021 < 0.005) and 13-fold heavier in weight (P = 0.0015 < 0.005) compared to those xenografted from TRA-negative cells. To explain these results, gene expression profiling and qPCR analysis indicated that TRA-1-60-positive cells defined a distinct population from that of TRA-negative cells, with upregulation of multiple drug transporters and therapeutic resistance genes. Hence, TRA-1-60-expressing cells in FL are considered to be vigorously intractable against conventional therapeutic agents, which may explain its refractory recurrence.
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 | 0.000 |
| 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".