Spatial transcriptome technique was applied to decipher the spatial architecture and TME characteristics of liver cancers.

Purpose The aim of this retrospective study was to compare the clinical outcomes of pembrolizumab-lenvatinib-transarterial chemoembolization (TACE) versus lenvatinib-TACE sequential therapy in selected populations of Chinese patients with initially unresectable hepatocellular carcinoma (uHCC) harbouring programmed cell death ligand-1 (PD-L1) expression. Methods Consecutive patients with initial PD-L1-positive uHCC who received pembrolizumab-lenvatinib-TACE or lenvatinib-TACE sequential therapy were retrospectively identified from three medical institutions during 2016–2020. The primary endpoints included the rate of conversion therapy, defined as converting initially uHCC to hepatectomy, overall survival (OS), and progression-free survival (PFS); secondary endpoint was the frequency of key adverse events (AEs). Results In total, 220 consecutively recruited patients were retrospectively reviewed, 78 of whom were ineligible according to the current criteria, leaving 142 patients [pembrolizumab-lenvatinib-TACE: n = 70, median age 58 years (range 36–69) and lenvatinib-TACE: n = 72, 57 years (35–68)] who were eligible for the study. The median duration of follow-up was 27 months [95% confidence interval (CI), 26.3–28.7 months]. At the last follow-up, the rate of conversion therapy was 25.7% in the pembrolizumab-lenvatinib-TACE group and 11.1% in the lenvatinib-TACE group (p = 0.025). The median OS was 18.1 months (95% CI 16.5–20.7) in the pembrolizumab-lenvatinib-TACE group versus 14.1 months (95% CI 12.2–16.9) in the lenvatinib-TACE group [hazard ratio (HR) 0.56, 95% CI 0.38–0.83; p = 0.004]. A distinct difference in the median PFS interval between the groups was detected [9.2 months (95% CI 7.1–10.4) in the pembrolizumab-lenvatinib-TACE group vs. 5.5 months (95% CI 3.9–6.6) in the lenvatinib-TACE group (HR 0.60; 95% CI 0.39–0.91; p = 0.006)]. The rates of the key AEs assessed, which were hypertension, nausea, and rash, were higher in the pembrolizumab-lenvatinib-TACE group than in the lenvatinib-TACE group (all p < 0.05). Conclusion Among the selected populations of patients with initial PD-L1-positive uHCC, pembrolizumab-lenvatinib-TACE sequential therapy may have promising antitumour activity, with an acceptable conversion rate and a well-characterized safety profile.

The crown ether-based covalent organic frameworks show excellent phase-transfer catalytic performance in various nucleophilic substitution reactions.

Abstract Molecular heterogeneities and complex microenvironments bring great challenges for cancer diagnosis and treatment. Recent advances in single-cell RNA-sequencing (scRNA-seq) technology make it possible to study cancer cell heterogeneities and microenvironments at single-cell transcriptomic level. Here, we develop an R package named scCancer, which focuses on processing and analyzing scRNA-seq data for cancer research. Except basic data processing steps, this package takes several special considerations for cancer-specific features. Firstly, the package introduced comprehensive quality control metrics. Secondly, it used a data-driven machine learning algorithm to accurately identify major cancer microenvironment cell populations. Thirdly, it estimated a malignancy score to classify malignant (cancerous) and non-malignant cells. Then, it analyzed intra-tumor heterogeneities by key cellular phenotypes (such as cell cycle and stemness), gene signatures and cell–cell interactions. Besides, it provided multi-sample data integration analysis with different batch-effect correction strategies. Finally, user-friendly graphic reports were generated for all the analyses. By testing on 56 samples with 433 405 cells in total, we demonstrated its good performance. The package is available at: http://lifeome.net/software/sccancer/.

Heterogeneity is the major challenge for cancer prevention and therapy. Here, we firstly constructed high-resolution spatial transcriptomes of primary liver cancers (PLCs) containing 84,823 spots within 21 tissues from 7 patients. The sequential comparison of spatial tumor microenvironment (TME) characteristics from non-tumor to leading-edge to tumor regions revealed that the tumor capsule potentially affects intratumor spatial cluster continuity, transcriptome diversity and immune cell infiltration. Locally, we found that the bidirectional ligand-receptor interactions at the 100 μm wide cluster-cluster boundary contribute to maintaining intratumor architecture. Our study provides novel insights for diverse tumor ecosystem of PLCs and has potential benefits for cancer intervention.

Background Not all patients with unresectable hepatocellular carcinoma (uHCC) benefit from treatment with immune checkpoint inhibitors and molecular-targeted agents. The aim of this retrospective study was to assess the efficacy and safety of pembrolizumab plus lenvatinib plus hepatic arterial infusion chemotherapy (HAIC) versus pembrolizumab plus lenvatinib in selected populations of patients with treatment-naive uHCC exhibiting programmed cell death ligand-1 (PD-L1) staining. Methods Consecutive patients with treatment-naive uHCC exhibiting PD-L1 staining who were treated with pembrolizumab plus lenvatinib plus HAIC (PLH) or pembrolizumab plus lenvatinib (PL) were retrospectively identified from our medical centres from 2018 to 2021. HAIC involved oxaliplatin, fluorouracil, and leucovorin (FOLFOX). Follow-up occurred every 3 weeks for 1 year and then every 6 weeks thereafter. The primary endpoints included overall survival (OS) and progression-free survival (PFS). Secondary endpoints were the frequency of key adverse events (AEs). Results In total, 248 treatment-naive patients were retrospectively reviewed, 78 of whom were ineligible on the basis of the current criteria. Thus, 170 patients (PLH: n = 84, median age 52 years [range, 42–67]; PL: n = 86, 53 years [range, 43–69]) were eligible for the analysis. The median follow-up was 18.6 months (range, 1–26). At the final follow-up, the median OS was 17.7 months (95% confidence interval [CI], 15.2–18.3) in the PLH group versus 12.6 months (95% CI, 11.1–13.7) in the PL group (hazard ratio [HR] 0.52; 95% CI, 0.36–0.75; p = 0.001). A significant difference was also detected in the median PFS (10.9 months [95% CI, 8.7–11.4] for PLH vs. 6.8 months (95% CI, 5.2–7.4) for PL; HR 0.61, 95% CI, 0.43–0.85; p = 0.001). Significant differences in the rate of the key AEs were noted between groups (79.8% for PLH vs. 62.8% for PL, p = 0.015), but these AEs were controllable. Conclusions Among selected populations of patients with treatment-naive uHCC exhibiting PD-L1 staining, the PLH regimen may substantially improve the survival benefits compared with the PL regimen with a controllable safety profile.

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Purpose: Gemcitabine is most commonly used for pancreatic cancer. However, the molecular features and mechanisms of the frequently occurring resistance remain unclear. This work aims at exploring the molecular features of gemcitabine resistance and identifying candidate biomarkers and combinatorial targets for the treatment. Experimental Design: In this study, we established 66 patient-derived xenografts (PDXs) on the basis of clinical pancreatic cancer specimens and treated them with gemcitabine. We generated multiomics data (including whole-exome sequencing, RNA sequencing, miRNA sequencing, and DNA methylation array) of 15 drug-sensitive and 13 -resistant PDXs before and after the gemcitabine treatment. We performed integrative computational analysis to identify the molecular networks related to gemcitabine intrinsic and acquired resistance. Then, short hairpin RNA–based high-content screening was implemented to validate the function of the deregulated genes. Results: The comprehensive multiomics analysis and functional experiment revealed that MRPS5 and GSPT1 had strong effects on cell proliferation, and CD55 and DHTKD1 contributed to gemcitabine resistance in pancreatic cancer cells. Moreover, we found miR-135a-5p was significantly associated with the prognosis of patients with pancreatic cancer and could be a candidate biomarker to predict gemcitabine response. Comparing the molecular features before and after the treatment, we found that PI3K-Akt, p53, and hypoxia-inducible factor-1 pathways were significantly altered in multiple patients, providing candidate target pathways for reducing the acquired resistance. Conclusions: This integrative genomic study systematically investigated the predictive markers and molecular mechanisms of chemoresistance in pancreatic cancer and provides potential therapy targets for overcoming gemcitabine resistance.