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Record W4403585184 · doi:10.1097/ms9.0000000000002671

Precautions in downstaging for hepatocellular carcinoma with macrovascular invasion before liver transplantation

2024· article· en· W4403585184 on OpenAlexaboutno aff
Li Pang, Lei‐Bo Xu, Wenrui Wu

Bibliographic record

VenueAnnals of Medicine and Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHepatocellular carcinomaLiver transplantationMilan criteriaTransplantationCarcinomaInternal medicineGastroenterologySurgery

Abstract

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Dear Editor, We reviewed the recently published PLENTY study by Lv et al.1, which is pioneering in its attempt to utilize neoadjuvant systemic therapy (pembrolizumab plus lenvatinib) in liver transplant (LT) patients with hepatocellular carcinoma (HCC) beyond the Milan criteria, aiming to reduce post-transplant tumor recurrence. The results are encouraging: the 30-month tumor-specific recurrence-free survival (RFS) was 37.5% in the PLENTY group versus 12.5% in the control group, suggesting systemic therapies may be more effective in reducing post-transplant tumor recurrence than locoregional therapies (LRTs). However, the tumor recurrence rate of the PLENTY study is much higher than in other downstaging studies, such as the XXL study (5-year tumor event-free survival of 76.8%)2 and UCSF-DS study (5-year post-transplant RFS of 86.1%)3. Additionally, nearly half of the patients in the PLENTY study had portal vein tumor thrombus (PVTT), which may contribute to the high recurrence rate. Although macrovascular invasion is no longer an absolute contraindication for LT, careful considerations are needed when downstaging HCC with macrovascular invasion (Fig. 1).Figure 1: Precautions in downstaging for HCC with macrovascular invasion before LT. HCC, hepatocellular carcinoma; LT, liver transplant.Patient selection Macrovascular invasion in HCC often indicates more aggressive tumor behavior, increasing the likelihood of systemic metastasis. Therefore, stricter selection criteria are necessary for this subset of patients. In addition to parameters such as tumor size, number, and biomarkers (AFP and PIVKA-II), several novel approaches can be considered: (1) tumor biopsy to identify poorly differentiated tumors (referring to extended Toronto criteria); (2) use of circulating tumor cells (CTCs) or DNA (ctDNA) to detect systemic metastasis risks; (3) evaluating response to downstaging (DS) therapies to exclude patients with poor responses, potentially reducing recurrence risk after LT4. Choices of DS treatment DS treatment for HCC with macrovascular invasion aims to reduce the extent of the tumor and thrombus to make patients eligible for potentially curative therapies. The PLENTY study suggests that systemic therapy is more effective than LRT in reducing extrahepatic tumor burden, while LRT excels in intrahepatic tumor shrinkage. Therefore, an ‘ALL IN’ downstaging strategy that includes immunotherapy, targeted therapy, and LRT may enhance the success rate of DS and reduce tumor recurrence after LT. Currently, several LT centers are conducting clinical trials employing this strategy5. For example, Feng Hao et al. are using IMRT combined with PD-1 blockade and lenvatinib for HCC with Vp3 (iPLENTY-pvtt, NCT05339581), and Chao Liu et al. are applying LRT in combination with PD-1 blockade and lenvatinib for patients beyond Milan criteria (including Vp1-3). Additionally, Mazzaferro et al. reported the preliminary results of ImmunoXXL study at EASL Congress 2024, which involved LT following downstaging with atezolizumab and bevacizumab. After a median follow-up of 8 months, all seven patients were alive with no evidence of disease. These clinical trials will provide valuable evidence for the use of systemic therapies in downstaging HCC before LT. Observation period The timing of transplantation after successful DS is critical. A prolonged wait may lead to tumor recurrence or progression, while too short may not allow adequate assessment of tumor biology. In the PLENTY study, we observed that the median wait time for LT was 33 days in the control group, which was much shorter compared to 114 days in the PLENTY group. Consistently, the 1-year RFS rate of the control group was significantly lower than the PLENTY group (30% vs. 75%). Most DS protocols, including UNOS-DS and UCSF-DS, require a minimum observation period of 90 days, during which no surgery or LRTs are allowed. The relatively short observation period in the PLENTY study, particularly in the control group, may have contributed to the higher recurrence rate. A comprehensive evaluation of treatment efficacy and tumor biology is essential for HCC patients with macrovascular invasion. ‘No touch’ hepatectomy The ‘no touch’ technique aims to minimize the risk of tumor seeding and dissemination during hepatectomy by avoiding direct manipulation of the tumor and its surrounding tissues. The ‘no touch’ procedure typically begins with the dissection of the liver, followed by clamping the inflow vessels (hepatic artery and portal vein) and outflow vessels (infrahepatic and suprahepatic inferior vena cava). After securing these vessels, the liver is further dissected and removed. Zheng et al. found that the ‘no touch’ technique improved prognosis in HCC patients with PVTT compared to conventional methods6. Additionally, Pravisani et al.7 reported worse outcomes with caval-sparing recipient hepatectomy compared to total caval replacement in LT for HCC. Ethical approval Not applicable. Consent Not applicable. Source of funding National Natural Science Foundation of China, No. 82203747; China Postdoctoral Science Foundation, Nos. 2022TQ0388 and 2023M734036. Author contribution L.P. and W.W.: contributed to the idea, writing, and proofreading; L.X.: provided supervision and approval. Conflicts of interest disclosure The authors declare no conflicts of interest. Research registration unique identifying number (UIN) Not applicable. Guarantor Wen-rui Wu, MD, PhD, Associated Professor; Liver Transplantation Center & Department of Biliary-Pancreatic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 510120 Guangzhou, China; Address: No. 107, Yan Jiang Xi Road, Guangzhou, China; E-mail: [email protected] Data availability statement There were no new data generated. Provenance and peer review Not available.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.150
GPT teacher head0.291
Teacher spread0.142 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2024
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