Impact of Tertiary Lymphoid Structure on Prognosis and Tumor Microenvironment in Undifferentiated Pleomorphic Sarcoma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it