HYPE or HOPE: the prognostic value of infiltrating immune cells in cancer
Bibliographic record
Abstract
Interactions between immune and malignant cells have been known to have clinical relevance for decades. The potential for immune control is now being therapeutically enhanced with checkpoint inhibitors and other novel agents to improve outcomes in cancer. The importance of the immune infiltrate as a prognostic marker is increasingly relevant. In this minireview, we present an overview of the immune infiltrate and its spatial organisation, and summarise the prognostic value of immune cells in different cancer types. International collaborative efforts are standardising histopathologic reporting of the immune infiltrate, to allow application of these parameters in the clinical and research settings. In general terms, a 'pro-inflammatory' tumour microenvironment and infiltrating CD8-expressing T lymphocytes are associated with improved clinical outcomes in a broad range of tumour types. The inhibitory function of other immune cells, for example, myeloid-derived suppressor cells and regulatory T cells, appear to have a major role in disrupting the capacity for the immune control of cancers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".