Impact of Tertiary Lymphoid Structure on Prognosis and Tumor Microenvironment in Undifferentiated Pleomorphic Sarcoma
Bibliographic record
Abstract
Undifferentiated pleomorphic sarcoma (UPS) has a favorable objective response rate to anti-PD-1 drugs compared with other sarcomas. Tertiary lymphoid structure (TLS) is a favorable prognostic factor and a biomarker for immune checkpoint inhibitors (ICIs). Nevertheless, there are limited data on the tumor microenvironment (TME) to support a good response to ICIs in sarcoma. Therefore, this study was conducted to investigate the impact of TLS on prognosis and TME. A total of 52 of UPS with wide resection were divided into intratumoral TLS, extratumoral TLS, and without TLS groups. Survival analysis and immunohistochemistry were performed to evaluate immune cells and immune checkpoint molecules, and multiplexed immunofluorescence was conducted to evaluate T-cell exhaustion among the three groups. TLS was detected in 34 cases (65%), including 23 intratumoral TLS (44%) and 11 extratumoral TLS (21%) cases. Patients with TLS had significantly longer overall survival than those without TLS (log rank p = 0.020). The intratumoral TLS group had a significantly higher number of immune cells and higher expression of PD-L1 and IDO-1 than the without TLS group. Progenitor-exhausted T cells were also observed in patients with UPS. In conclusion, these findings could help predict prognosis in patients with UPS. TLS was demonstrated to be a favorable prognostic factor in patients with UPS. Intratumoral TLS may be a biomarker for the response to ICIs, especially anti-PD-1 drugs.
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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".