Focal Update on Immunotherapy and Liver Transplantation in the Era of Transplant Oncology
Bibliographic record
Abstract
Transplant oncology is an expanding area of cancer therapy that specifically emphasizes the use of liver transplantation (LT) as the preferred treatment for patients with manageable, but unresectable, tumors. The management and optimization of overall survival strategies, accompanied by an arguably decent quality of life, have been at the forefront of liver oncology treatment, as a plurality of all primary liver cancers are identified as either hepatocellular carcinoma (HCC) or cholangiocarcinoma (CCA), which are classified as highly aggressive malignancies and frequently remain asymptomatic until they progress to advanced stages, rendering curative procedures, such as resection, impractical. This has led to an increase in utilization of neoadjuvant interventions conducted prior to surgery, which has yielded favorable outcomes. Though this treatment modality has prompted further investigations into the efficacy of immune checkpoint inhibitors (ICPIs) as standalone treatments and in combination with locoregional treatments (LRTs) to bridge more patients into curative eligibility. This multidisciplinary methodology and treatment planning has seen multiple successful trials of immunotherapy regimes and combinate treatments, setting the groundwork for increasing eligibility through downstaging and "bridging" previously ineligible patients within stringent LT criteria. Surveillance after LT is a crucial component of transplant oncology. The emergence of circulating tumor DNA (ctDNA) has provided a novel approach to identifying the recurrence of cancer in its early stages. Recent research has focused on liquid biopsy, a technique that effectively identifies the dynamics of cancer. This is another innovation to demonstrate the rate at which transplant oncology is rapidly advancing, making the focus of care feel disorienting. Modalities of care are constantly evolving, but when a field is changing as rapidly as this one, it is imperative to reorient to the data and the needs of the patients. In this commentary, we reflect on the update's utilization of ICPIs in neoadjuvant settings as well as the updates on the utilization of liquid biopsy in post-LT follow-up surveillance.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".