[Diffuse Hepatoid Adenocarcinoma in the Peritoneal Cavity:Report of One Case].

Hepatoid adenocarcinoma is a rare and unique type of adenocarcinoma,resembling hepatocellular carcinoma in histopathology.Most cases occur in the stomach,lacking specific clinical and imaging manifestations,which leads to high rates of missed diagnosis and misdiagnosis.Hepatoid adenocarcinoma in the peritoneal cavity is even rarer.This article reports a case of hepatoid adenocarcinoma with the manifestation of diffuse peritoneal thickening,aiming to provide reference for clinical diagnosis and treatment.

Comparison between models for detecting hepatocellular carcinoma in patients with chronic liver diseases of various etiologies: ASAP score versus GALAD score.

BACKGROUND: Diagnostic panels based on multiple biomarkers and clinical characteristics are considered more favorable than individual biomarker to diagnose hepatocellular carcinoma (HCC). Based on age, sex, alpha-fetoprotein (AFP), and protein induced by vitamin K absence II (PIVKA-II) with/without AFP-L3, ASAP and GALAD models are potential diagnostic panels. The diagnostic performances of these two panels were compared relative to HCC detection among patients with various etiologies of chronic liver diseases (CLDs). METHODS: A multicenter case-control study recruited CLDs patients with and without HCC from 14 Chinese hospitals. The etiologies of CLDs included hepatitis B virus (HBV), hepatitis C virus (HCV), alcoholic liver disease (ALD), and nonalcoholic fatty liver disease (NAFLD). Using area under the receiver operating characteristic curve (AUC) values, the diagnostic performances of ASAP and GALAD models were compared to detect HCC among patients with various etiologies of CLDs. RESULTS: Among 248 HCC patients and 722 CLD controls, the ASAP model demonstrated the highest AUC (0.886) to detect HCC at any stage, outperforming the GALAD model (0.853, P = 0.001), as well as any individual biomarker (0.687-0.799, all P < 0.001). In the subgroup analysis of various CLDs etiologies, the ASAP model outperformed the GALAD model to HCC independent of CLDs etiology. In addition, the ASAP model performed better in detecting early-stage (BCLC stage 0/A) HCC versus the GALAD model. CONCLUSIONS: Despite using one less laboratory variable (AFP-L3), the ASAP model demonstrated better diagnostic performance than the GALAD model to detect all-stage HCC among patients with various etiologies of CLDs-related HCC.

Predicting effect of anti-PD-1/PD-L1 inhibitors therapy for hepatocellular carcinoma by detecting plasma metabolite based on UHPLC-MS.

Introduction: Anti-PD-1/PD-L1 inhibitors therapy has become a promising treatment for hepatocellular carcinoma (HCC), while the therapeutic efficacy varies significantly among effects for individual patients are significant difference. Unfortunately, specific predictive biomarkers indicating the degree of benefit for patients and thus guiding the selection of suitable candidates for immune therapy remain elusive.no specific predictive biomarkers are available indicating the degree of benefit for patients and thus screening the preferred population suitable for the immune therapy. Methods: Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) considered is an important method for analyzing biological samples, since it has the advantages of high rapid, high sensitivity, and high specificity. Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) has emerged as a pivotal method for analyzing biological samples due to its inherent advantages of rapidity, sensitivity, and specificity. In this study, potential metabolite biomarkers that can predict the therapeutic effect of HCC patients receiving immune therapy were identified by UHPLC-MS. Results: A partial least-squares discriminant analysis (PLS-DA) model was established using 14 glycerophospholipid metabolites mentioned above, and good prediction parameters (R2 = 0.823, Q2 = 0.615, prediction accuracy = 0.880 and p < 0.001) were obtained. The relative abundance of glycerophospholipid metabolite ions is closely related to the survival benefit of HCC patients who received immune therapy. Discussion: This study reveals that glycerophospholipid metabolites play a crucial role in predicting the efficacy of immune therapy for HCC.

The pattern of tumor progression on first-line immune checkpoint inhibitor-based systemic therapy for Chinese advanced hepatocellular carcinoma -CLEAP 004 study.

Background: For decades, stratification criteria for first-line clinical studies have been highly uniform. However, there is no principle or consensus for restratification after systemic treatment progression based on immune checkpoint inhibitors (ICIs). The aim of this study was to assess the patterns of disease progression in patients with advanced hepatocellular carcinoma (HCC) who are not eligible for surgical intervention, following the use of immune checkpoint inhibitors. Methods: This is a retrospective study that involved patients with inoperable China liver stage (CNLC) IIIa and/or IIIb. The patients were treated at eight centers across China between January 2017 and October 2022. All patients received at least two cycles of first-line treatment containing immune checkpoint inhibitors. The patterns of disease progression were assessed using RECIST criteria 1.1. Different progression modes have been identified based on the characteristics of imaging progress. The study's main outcome measures were post-progression survival (PPS) and overall survival (OS). Survival curves were plotted using the Kaplan-Meier method to compare the difference among the four groups. Subgroup analysis was conducted to compare the efficacy of different immunotherapy combinations. Variations in the efficacy of immunotherapy have also been noted across patient groups exhibiting alpha-fetoprotein (AFP) levels equal to or exceeding 400ng/mL, in contrast to those with AFP levels below 400ng/mL. Results: The study has identified four distinct patterns of progress, namely p-IIb, p-IIIa, p-IIIb, and p-IIIc. Diverse patterns of progress demonstrate notable variations in both PPS and OS. The group p-IIb had the longest PPS of 12.7m (95% 9.3-16.1) and OS 19.6m (95% 15.6-23.5), the remaining groups exhibited p-IIIb at PPS 10.5 months (95%CI: 7.9-13.1) and OS 19.2 months (95%CI 15.1-23.3). Similarly, p-IIIc at PPS 5.7 months (95%CI: 4.2-7.2) and OS 11.0 months (95%CI 9.0-12.9), while p-IIIa at PPS 3.4 months (95%CI: 2.7-4.1) and OS 8.2 months (95%CI 6.8-9.5) were also seen. Additional stratified analysis was conducted and showed there were no differences of immunotherapy alone or in combination in OS (HR= 0.92, 95%CI: 0.59-1.43, P=0.68) and PPS (HR= 0.88, 95%CI: 0.57-1.36, P=0.54); there was no significant difference in PPS (HR=0.79, 95% CI: 0.55-1.12, P=0.15) and OS (HR=0.86, 95% CI: 0.61-1.24, P=0.39) for patients with AFP levels at or over 400ng/mL. However, it was observed that patients with AFP levels above 400ng/mL experienced a shorter median progression of PPS (8.0 months vs. 5.0 months) after undergoing immunotherapy. Conclusion: In this investigation of advanced hepatocellular carcinoma among Chinese patients treated with immune checkpoint inhibitors, we identified four distinct progression patterns (p-IIb, p-IIIa, p-IIIb and p-IIIc) that showed significant differences in PPS and OS. These findings demonstrate the heterogeneity of disease progression and prognosis after immunotherapy failure. Further validation in large cohorts is necessary to develop prognostic models that integrate distinct progression patterns to guide subsequent treatment decisions. Additionally, post-immunotherapy progression in patients with AFP levels ≥400ng/mL indicates a shortened median PPS. These findings provide valuable insights for future personalized treatment decisions.

Maintenance therapy with anlotinib after induction therapy with platinum-based chemotherapy for advanced non-small-cell lung cancer: A pooled analysis of 2 single-arm trials.

BACKGROUND: Maintenance therapy could significantly improve the prognosis of patients with advanced non-small cell lung cancer (NSCLC) receiving chemotherapy. Anlotinib is effective, tolerable, and convenient in administration as a third-line treatment for NSCLC. This study aimed to evaluate the efficacy and safety of maintenance therapy with anlotinib after platinum-based induction chemotherapy for patients with advanced NSCLC. METHODS: This pooled analysis of 2 multicenter, open-label, single-arm, phase 2 clinical trials (ALTER-L014 and ALTER-L011) enrolled patients with locally advanced or metastatic NSCLC and without known sensitive mutations in China between September 2018 and January 2021. The primary outcome was progression-free survival. The secondary outcomes were objective response rate, disease control rate, overall survival, and safety. RESULTS: The data of 23 patients were pooled, with 15 from ALTER-L014 and 8 from ALTER-L011. At the cutoff date of June 13, 2021, the median progression-free survival since the start of maintenance therapy was 5.95 (95% confidence interval, 4.30-8.80) months. Nineteen patients had stable disease, 1 had a partial response and 3 had progressive disease. The objective response rate was 4.35%, while disease control rate was 86.96%. The median overall survival of the patients since the start of maintenance therapy was 18.60 (95% confidence interval, 6.87-22.80) months. The incidence of adverse events of grade ≥ 3 was 21.7%. CONCLUSION: Anlotinib might offer a new option for maintenance treatment in patients with locally advanced or metastatic NSCLC without known sensitive mutations after standard first-line platinum-based chemotherapy.

T proliferating cells derived autophagy signature associated with prognosis and immunotherapy resistance in a pan-cancer analysis.

Despite autophagy modulating tumor immunity in the tumor microenvironment (TME), the immunotherapeutic efficacy and potential mechanism of autophagy signature was not explicit. We manually curated an autophagy gene set and defined a pan-cancer autophagy signature by comparing malignant tissues and normal tissues in The Cancer Genome Atlas (TCGA) cohort. The pan-cancer autophagy signature was derived from T proliferating cells as demonstrated in multiple single-cell RNA sequencing (scRNA-seq) datasets. The pan-cancer autophagy signature could influence the cell-cell interactions in the TME and predict the responsiveness of immune checkpoint inhibitors (ICIs) in the metastatic renal cell carcinoma, non-small cell lung cancer, bladder cancer, and melanoma cohorts. Metabolism inactivation accompanied with dysregulation of autophagy was investigated with transcriptomic and proteomic data. The immunotherapeutic predictive role and mechanism regulation of the autophagy signature was validated in an in-house cohort. Our study provides valuable insights into the mechanisms of ICI resistance.

The Barthel Index predicts surgical textbook outcomes following hepatectomy for elderly patients with hepatocellular carcinoma: A multicenter cohort study.

BACKGROUND: The burgeoning demand for hepatectomy in elderly patients with hepatocellular carcinoma (HCC) necessitates improved perioperative care. Geriatric populations frequently experience functional decline and frailty, predisposing them to adverse postoperative outcomes. The Barthel Index serves as a reliable measure for assessing functional capacity, and this study evaluates its impact on surgical textbook outcomes (TOs) in elderly HCC patients. METHODS: A multicenter retrospective cohort study analyzed elderly patients (≥70 years) following hepatectomy for HCC between 2013 and 2021. Utilizing a Barthel Index cut-off value of 85, patients were divided into two groups: with and without preoperative functional decline and frailty. The primary outcome was the rate of TO, encompassing seven criteria. TO rates were compared between groups, and multivariate logistic regression analyses identified independent risks for achieving TOs. RESULTS: Of 497 elderly patients, 157 (31.6 â€‹%) exhibited preoperative functional decline and frailty (Barthel Index score <85). The overall TO rate was 58.6 â€‹%. Patients with preoperative Barthel Index score <85 had significantly lower TO rates compared to patients with score ≥85 (29.3 â€‹% vs. 72.1 â€‹%, P â€‹< â€‹0.001). Multivariate analysis revealed preoperative Barthel Index score <85 as an independent risk for achieving TO (odds ratio 3.413, 95 â€‹% confidence interval 1.879-6.198, P â€‹< â€‹0.001). Comparable results were observed in the subgroups of patients undergoing open and laparoscopic hepatectomy. CONCLUSION: Preoperative Barthel Index-based assessment of functional decline and frailty significantly predicts TOs following hepatectomy in elderly HCC patients, enabling identification of high-risk patients and informing preoperative management and postoperative care within geriatric oncology.