GLUT1 promotes cell proliferation via binds and stabilizes phosphorylated EGFR in lung adenocarcinoma.

BACKGROUND: While previous studies have primarily focused on Glucose transporter type 1 (GLUT1) related glucose metabolism signaling, we aim to discover if GLUT1 promotes tumor progression through a non-metabolic pathway. METHODS: The RNA-seq and microarray data were comprehensively analyzed to evaluate the significance of GLUT1 expression in lung adenocarcinoma (LUAD). The cell proliferation, colony formation, invasion, and migration were used to test GLUT1 's oncogenic function. Co-immunoprecipitation and mass spectrum (MS) were used to uncover potential GLUT1 interacting proteins. RNA-seq, DIA-MS, western blot, and qRT-PCR to probe the change of gene and cell signaling pathways. RESULTS: We found that GLUT1 is highly expressed in LUAD, and higher expression is related to poor patient survival. GLUT1 knockdown caused a decrease in cell proliferation, colony formation, migration, invasion, and induced apoptosis in LUAD cells. Mechanistically, GLUT1 directly interacted with phosphor-epidermal growth factor receptor (p-EGFR) and prevented EGFR protein degradation via ubiquitin-mediated proteolysis. The GLUT1 inhibitor WZB117 can increase the sensitivity of LUAD cells to EGFR-tyrosine kinase inhibitors (TKIs) Gefitinib. CONCLUSIONS: GLUT1 expression is higher in LUAD and plays an oncogenic role in lung cancer progression. Combining GLUT1 inhibitors and EGFR-TKIs could be a potential therapeutic option for LUAD treatment.

Suppression of the long non-coding RNA LINC01279 triggers autophagy and apoptosis in lung cancer by regulating FAK and SIN3A.

Long non-coding RNAs play critical roles in the development of lung cancer by functioning as tumor suppressors or oncogenes. Changes in the expression of LINC01279 have been associated with cell differentiation and human diseases. However, the mechanism underlying LINC01279 activity in tumorigenesis is not clear. Here, we analyzed the function of LINC01279 in lung adenocarcinoma using clinical samples, xenografts, and non-small-cell lung cancer cell lines. We found that LINC01279 is highly expressed in lung adenocarcinoma and may be considered as a predictive factor for this cancer. Knockdown of LINC01279 prevents tumor growth in xenografts and in cancer cell lines by activating autophagy and apoptosis. Molecularly, we revealed that LINC01279 regulates the expression of focal adhesion kinase and extracellular-regulated kinase signaling. In addition, it complexes with and stabilizes the transcriptional co-repressor SIN3A protein. Suppression of focal adhesion kinase and SIN3A also induces apoptosis and prevents tumor progression, suggesting that they may at least in part mediate the oncogenic activity of LINC01279. These results identify LINC01279 as a possible oncogene that plays an important role in the development of lung cancer. Our findings provide insights into the mechanism underlying LINC01279-mediated oncogenesis of lung adenocarcinoma. They may help to discover potential therapeutic targets for cancer diagnosis and prognosis.

Long-term outcomes with HLX01 (HanliKang®), a rituximab biosimilar, in previously untreated patients with diffuse large B-cell lymphoma: 5-year follow-up results of the phase 3 HLX01-NHL03 study.

HLX01 (HanliKang®) is a rituximab biosimilar that showed bioequivalence to reference rituximab in untreated CD20-positive diffuse large B-cell lymphoma (DLBCL) in the phase 3 HLX01-NHL03 study. Here, we report the 5-year follow-up results from the open-label extension part. Patients were randomised to either rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) or HLX01 plus CHOP (H-CHOP) every 21 days for up to six cycles. The primary efficacy endpoint was overall survival (OS), and secondary efficacy endpoint was progression-free survival (PFS). Of the 407 patients enrolled in HLX01-NHL03, 316 patients (H-CHOP = 157; R-CHOP = 159) were included in the 5-year follow-up for a median duration of 65.1 (range, 2.2-76.5) months. 96.5% of the patients had an International Prognostic Index (IPI) of 1 or 2, and 17.7% had bone marrow involvement. The 5-year OS rates were 81.0% (95% CI: 74.9-87.5%) and 75.4% (95% CI: 68.9-82.6%)( HR: 0.75, 95% CI 0.47-1.20; p = 0.23) while 5-year PFS rates were 77.7% (95% CI: 71.4-84.6%) and 73.0% (95% CI: 66.3-80.3%) (HR: 0.84, 95% CI 0.54-1.30; p = 0.43) in the H-CHOP and R-CHOP groups, respectively. Treatment outcomes did not differ between groups regardless of IPI score and were consistent with the primary analysis. H-CHOP and R-CHOP provided no significant difference in 5-year OS or PFS in previously untreated patients with low or low-intermediate risk DLBCL.

Advances of Protein Palmitoylation in Tumor Cell Deaths.

In this comprehensive survey, we delve into the multifaceted role of palmitoylation across various cell death modalities in the oncological context, from its intricate correlations with tumorigenesis, steered by the Asp-His-His-Cys tetrapeptide motif (DHHC) family, to the counter-process of depalmitoylation mediated by enzymes like Palmitoyl protein thioesterase-1 (PPT1). Innovations in detection methodologies have paralleled our growing understanding, transitioning from rudimentary techniques to sophisticated modern methods. Central to our discourse are agents like Ezurpimtrostat (GNS561) and dimeric chloroquine (DC661), promising heralds in palmitoylation-targeted cancer therapy. Collectively, this review accentuates palmitoylation's transformative potential in oncology, foreshadowing groundbreaking therapeutic strategies and deepening our molecular comprehension of cancer dynamics.

Corrigendum: Application of single-cell sequencing to the research of tumor microenvironment.

[This corrects the article DOI: 10.3389/fimmu.2023.1285540.].

Application of single-cell sequencing to the research of tumor microenvironment.

Single-cell sequencing is a technique for detecting and analyzing genomes, transcriptomes, and epigenomes at the single-cell level, which can detect cellular heterogeneity lost in conventional sequencing hybrid samples, and it has revolutionized our understanding of the genetic heterogeneity and complexity of tumor progression. Moreover, the tumor microenvironment (TME) plays a crucial role in the formation, development and response to treatment of tumors. The application of single-cell sequencing has ushered in a new age for the TME analysis, revealing not only the blueprint of the pan-cancer immune microenvironment, but also the heterogeneity and differentiation routes of immune cells, as well as predicting tumor prognosis. Thus, the combination of single-cell sequencing and the TME analysis provides a unique opportunity to unravel the molecular mechanisms underlying tumor development and progression. In this review, we summarize the recent advances in single-cell sequencing and the TME analysis, highlighting their potential applications in cancer research and clinical translation.

Iron and copper: critical executioners of ferroptosis, cuproptosis and other forms of cell death.

Regulated cell death (RCD) is a regulable cell death that involves well-organized signaling cascades and molecular mechanisms. RCD is implicated in fundamental processes such as organ production and tissue remodeling, removing superfluous structures or cells, and regulating cell numbers. Previous studies have not been able to reveal the complete mechanisms, and novel methods of RCD are constantly being proposed. Two metal ions, iron (Fe) and copper (Cu) are essential factors leading to RCDs that not only induce ferroptosis and cuproptosis, respectively but also lead to cell impairment and eventually diverse cell death. This review summarizes the direct and indirect mechanisms by which Fe and Cu impede cell growth and the various forms of RCD mediated by these two metals. Moreover, we aimed to delineate the interrelationships between these RCDs with the distinct pathways of ferroptosis and cuproptosis, shedding light on the complex and intricate mechanisms that govern cellular survival and death. Finally, the prospects outlined in this review suggest a novel approach for investigating cell death, which may involve integrating current therapeutic strategies and offer a promising solution to overcome drug resistance in certain diseases. Video Abstract.

A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification.

Usually, the clustering process is the first step in several data analyses. Clustering allows identify patterns we did not note before and helps raise new hypotheses. However, one challenge when analyzing empirical data is the presence of covariates, which may mask the obtained clustering structure. For example, suppose we are interested in clustering a set of individuals into controls and cancer patients. A clustering algorithm could group subjects into young and elderly in this case. It may happen because the age at diagnosis is associated with cancer. Thus, we developed CEM-Co, a model-based clustering algorithm that removes/minimizes undesirable covariates' effects during the clustering process. We applied CEM-Co on a gene expression dataset composed of 129 stage I non-small cell lung cancer patients. As a result, we identified a subgroup with a poorer prognosis, while standard clustering algorithms failed.

Focalizing regions of biomarker relevance facilitates biomarker prediction on histopathological images.

Image-based AI has thrived as a potentially revolutionary tool for predicting molecular biomarker statuses, which aids in categorizing patients for appropriate medical treatments. However, many methods using hematoxylin and eosin-stained (H&E) whole-slide images (WSIs) have been found to be inefficient because of the presence of numerous uninformative or irrelevant image patches. In this study, we introduced the region of biomarker relevance (ROB) concept to identify the morphological areas most closely associated with biomarkers for accurate status prediction. We actualized this concept within a framework called saliency ROB search (SRS) to enable efficient and effective predictions. By evaluating various lung adenocarcinoma (LUAD) biomarkers, we showcased the superior performance of SRS compared to current state-of-the-art AI approaches. These findings suggest that AI tools, built on the ROB concept, can achieve enhanced molecular biomarker prediction accuracy from pathological images.

CircSMARCA5 silencing impairs cell proliferation and invasion via the miR-17-3p-EGFR signaling in lung adenocarcinoma.

AIMS: Circular RNAs are widely expressed in various cancers and play important roles in tumorigenesis and tumor progression. The function and mechanism of circSMARCA5 in lung adenocarcinoma however remains unclear. MAIN METHODS: QRT-PCR analysis was applied for determining circSMARCA5 expression in lung adenocarcinoma patient tumor tissues and cells. Molecular biological assays were used for investigating the role of circSMARCA5 in lung adenocarcinoma progression. Luciferase reporter and bioinformatics assays were used for identifying the underlying mechanism. KEY FINDINGS: In this study, we observed that circSMARCA5 expression was decreased in lung adenocarcinoma tissues but silencing of circSMARCA5 in lung adenocarcinoma cells inhibited cell proliferation, colony formation, migration and invasion. Mechanistically, we found EGFR, c-MYC and p21 were down-regulated upon circSMARCA5 knockdown. MiR-17-3p efficiently down- regulated EGFR expression via directly binding to EGFR mRNA. SIGNIFICANCE: These studies suggest that circSMARCA5 functions as an oncogene via targeting miR-17-3p-EGFR axis and may represent a promising therapeutic target for lung adenocarcinoma.

Dynamic differentiation of F4/80+ tumor-associated macrophage and its role in tumor vascularization in a syngeneic mouse model of colorectal liver metastasis.

Tumor-associated macrophages (TAMs) are highly heterogeneous and play vital roles in tumor progression. Here we adopted a C57BL/6 mouse model imitating the late-stage colorectal liver metastasis (CRLM) by Mc38 colorectal cancer cell injection via the portal vein. With serial sections of CRLM biopsies, we defined 7-9 days post-injection as the critical period for tumor neovascularization, which was initiated from the innate liver vessels via vessel cooption and extended by vascular mimicry and thereof growth of CD34+cells. In samples with increasing-sized liver metastases, the infiltrated Ly6C+ CD11b+ F4/80- monocytes steadily gained the expression of F4/80, a Kupffer cell marker, before transformed into Ly6C- CD11bint F4/80+ cells, which, the same phenotype was also adapted by Ly6C- CD11b- F4/80+ Kupffer cells. F4/80+ TAMs showed proximity to neovascularization and tumor vessels, functionally angiogenic in vivo; and greatly promoted the activation of a few key angiogenic markers such as VEGFA, Ki67, etc. in endothelial cells in vitro. Depletion of macrophages or diversion of macrophage polarization during neovascularization impeded tumor growth and vascularization and resulted in greatly reduced F4/80+ TAMs, yet increased CD11b+ cells due to inhibition of TAM differentiation. In summary, our results showed dynamic and spatial-temporal F4/80+ TAM transformation within the tumor microenvironment and strengthened its role as perivascular and angiogenic TAMs in CRLM.

A nomogram for predicting prognosis of multiple myeloma patients based on a ubiquitin-proteasome gene signature.

BACKGROUND: Multiple myeloma (MM) is a malignant hematopoietic disease that is usually incurable. However, the ubiquitin-proteasome system (UPS) genes have not yet been established as a prognostic predictor for MM, despite their potential applications in other cancers. METHODS: RNA sequencing data and corresponding clinical information were acquired from Multiple Myeloma Research Foundation (MMRF)-COMMPASS and served as a training set (n=787). Validation of the prediction signature were conducted by the Gene Expression Omnibus (GEO) databases (n=1040). To develop a prognostic signature for overall survival (OS), least absolute shrinkage and selection operator regressions, along with Cox regressions, were used. RESULTS: A six-gene signature, including KCTD12, SIAH1, TRIM58, TRIM47, UBE2S, and UBE2T, was established. Kaplan-Meier survival analysis of the training and validation cohorts revealed that patients with high-risk conditions had a significantly worse prognosis than those with low-risk conditions. Furthermore, UPS-related signature is associated with a positive immune response. For predicting survival, a simple to use nomogram and the corresponding web-based calculator (https://jiangyanxiamm.shinyapps.io/MMprognosis/) were built based on the UPS signature and its clinical features. Analyses of calibration plots and decision curves showed clinical utility for both training and validation datasets. CONCLUSIONS: As a result of these results, we established a genetic signature for MM based on UPS. This genetic signature could contribute to improving individualized survival prediction, thereby facilitating clinical decisions in patients with MM.

Essential role for STAT3/FOXM1/ATG7 signaling-dependent autophagy in resistance to Icotinib.

BACKGROUND: The contribution of autophagy to cancer therapy resistance remains complex, mainly owing to the discrepancy of autophagy mechanisms in different therapy. However, the potential mechanisms of autophagy-mediated resistance to icotinib have yet to be elucidated. METHODS: The effect of autophagy in icotinib resistance was examined using a series of in vitro and in vivo assays. The results above were further verified in biopsy specimens of lung cancer patients before and after icotinib or gefitinib treatment. RESULTS: Icotinib increased ATG3, ATG5, and ATG7 expression, but without affecting Beclin-1, VPS34 and ATBG14 levels in icotinib-resistant lung cancer cells. Autophagy blockade by 3-MA or silencing Beclin-1 had no effects on resistance to icotinib. CQ effectively restored lung cancer cell sensitivity to icotinib in vitro and in vivo. Notably, aberrantly activated STAT3 and highly expressed FOXM1 were required for autophagy induced by icotinib, without the involvement of AMPK/mTOR pathway in this process. Alterations of STAT3 activity using genetic and/or pharmacological methods effectively affected FOXM1 and ATG7 levels increased by icotinib, with altering autophagy and icotinib-mediated apoptosis in resistant cells. Furthermore, silencing FOXM1 impaired up-regulated ATG7 induced by STAT3-CA and icotinib. STAT3/FOXM1 signalling blockade also reversed resistance to icotinib in vivo. Finally, we found a negative correlation between STAT3/FOXM1/ATG7 signalling activity and epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) treatment efficacy in patients undergoing EGFR-TKIs treatment. CONCLUSIONS: Our findings support that STAT3/FOXM1/ATG7 signalling-induced autophagy is a novel mechanism of resistance to icotinib, and provide insights into potential clinical values of ATG7-dependent autophagy in icotinib treatment.

Establishment of a lncRNA-Based Prognostic Gene Signature Associated With Altered Immune Responses in HCC.

Hepatocellular carcinoma (HCC) is a common malignancy with higher mortality, and means are urgently needed to improve the prognosis. T cell exclusion (TCE) plays a pivotal role in immune evasion, and lncRNAs represent a large group of tumor development and progression modulators. Using the TCGA HCC dataset (n=374), we identified 2752 differentially expressed and 702 TCE-associated lncRNAs, of which 336 were in both groups. As identified using the univariate Cox regression analysis, those associated with overall survival (OS) were subjected to the LASSO-COX regression analysis to develop a prognosis signature. The model, which consisted of 11 lncRNAs and was named 11LNCPS for 11-lncRNA prognosis signature, was validated and performed better than two previous models. In addition to OS and TCE, higher 11LNCPS scores had a significant correlation with reduced infiltrations of CD8+ T cells and dendritic cells (DCs) and decreased infiltrations of Th1, Th2, and pro B cells. As expected, these infiltration alterations were significantly associated with worse OS in HCC. Analysis of published data indicates that HCCs with higher 11LNCPS scores were transcriptomically similar to those that responded better to PDL1 inhibitor. Of the 11LNCPS lncRNAs, LINC01134 and AC116025.2 seem more crucial, as their upregulations affected more immune cell types' infiltrations and were significantly associated with TCE, worse OS, and compromised immune responses in HCC. LncRNAs in the 11LNCPS impacted many cancer-associated biological processes and signaling pathways, particularly those involved in immune function and metabolism. The 11LNCPS should be useful for predicting prognosis and immune responses in HCC.

FAM83A antisense RNA 1 (FAM83A-AS1) silencing impairs cell proliferation and induces autophagy via MET-AMPKɑ signaling in lung adenocarcinoma.

Studies demonstrate that long non-coding RNAs (lncRNAs) play vital roles in cancer progression. However, the expression pattern and molecular mechanisms of lncRNA FAM83A-AS1 in lung cancer remain largely unclear. Here, we analyzed FAM83A-AS1 expression in lung cancer tissues from three RNA-sequencing (RNA-Seq) datasets and validated these results using quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) in an independent set of lung adenocarcinoma. Cell proliferation, migration, invasion, and autophagy were analyzed after knockdown FAM83A-AS1 with siRNAs. The underlying molecular mechanisms of FAM83A-AS1 were performed by Western blot, qRT-PCR, and RNA-seq analysis. We found that FAM83A-AS1 was up-regulated in lung cancer and elevated expression was associated with poor patient survival. These results were confirmed using RT-PCR in an independent set of lung cancer. Functional study indicated that FAM83A-AS1 knockdown reduced cell proliferation, migration, invasion, and colony formation in cancer cells. FAM83A-AS1 silencing induced autophagy and cell cycle arrest at G2. Mechanistically, serval oncogenic proteins such as EGFR, MET, PI3K, and K-RAS were decreased upon FAM83A-AS1 silencing, while phosphor AMPKα and ULK1 were increased. Based on the above results, we believe that FAM83A-AS1 may have potential as a diagnosis/prognosis marker and its oncogenic role and autophagy regulation may be through MET-AMPKα signaling, which could lead to potential targeting for lung cancer therapy.

[Functional deficiency of bone marrow mesenchymal stem cells in patients with immune thrombocytopenia: An update].

Immune thrombocytopenia (ITP) is an acquired autoimmune hemorrhagic disorder characterized by persistent thrombocytopenia. It may be induced by different pathogenesis due to its heterogeneity, and the therapeutic effects vary on different patients. Bone marrow derived mesenchymal stem cells (BMMSCs) can modulate innate and adaptive immunity, thus resulting in a tolerant microenvironment. Functional defects and immunomodulatory disorders of BMMSCs are significant causes of ITP. Functional effects associated with the activation of the P53 pathway include decreased activity of the phosphatidylinositol 3 kinase/AKT pathway and activation of the TNFAIP3/NF-κB/SMAD7 pathway. Immune dysfunction appears to be correlated with an impaired ability of BMMSCs to induce various types of immune cells in ITP. An in-depth investigation into the pathogenesis of ITP facilitates the treatment of ITP, but larger-scale clinical trials are needed to verify the efficacy of exogenous BMMSCs in the clinical treatment of ITP.

Safety and efficacy of hetrombopag in patients with chronic immune thrombocytopenia: a single-arm, open-label, multi-center phase 1 study.

Background: Thrombopoietin receptor agonists (TPO-RAs) are promising therapeutic strategy for patients with immune thrombocytopenia (ITP). We conducted this phase 1 trial (NCT02614846) to evaluate the preliminary efficacy and safety of hetrombopag (a TPO-RA) in patients with ITP. Methods: Patients with ITP who had an insufficient response or had progressed on at least one standard treatment for ITP were given hetrombopag orally at an initial dose of 5 mg once daily for up to 6 weeks. The primary endpoint was the proportion of patients who achieved platelet counts of ≥50×109/L at week 6. Results: A total of 37 eligible patients received hetrombopag treatment. This study met its primary endpoint, 22 (59.5%, 95% CI: 42.1-75.3) patients responded to hetrombopag, achieving platelet counts ≥50×109/L at week 6. Of the 29 (78.4%, 95% CI: 61.8-90.2%) patients who responded at least once during the study, the median time from treatment initiation to first response was 2.1 weeks (95% CI: 1.3-4.1 weeks). The median accumulative response duration was 3.1 weeks [interquartile range (IQR), 2.1-4.1 weeks]. The incidence of bleeding was reduced with hetrombopag treatment compared to the baseline. Adverse events (AEs) occurred in 32 (86.5%) patients and treatment-related AEs occurred in 13 (35.1%) patients. Two (5.4%) serious AEs were reported, but neither were treatment related. The dose was modified in one (2.7%) patient due to an AE. There were no incidences of treatment discontinuation/interruption or death. Conclusions: Hetrombopag showed preliminary activity in elevating platelet counts and reducing bleeding in patients with chronic ITP who had received at least one standard therapy. It was well-tolerated.

The Mechanistic Effects and Clinical Applications of Various Derived Mesenchymal Stem Cells in Immune Thrombocytopenia.

Immune thrombocytopenia (ITP) is an acquired autoimmune disorder characterized by persistent thrombocytopenia resulting from increased platelet destruction and a loss of autoimmune tolerance. The pathogenesis of ITP is highly complex. Although ITP may be effectively controlled with currently available medications in some patients, a subset of cases remain refractory. The application of mesenchymal stem cells (MSCs) for human hematopoietic stem cell transplantation has increasingly demonstrated that MSCs modulate innate or adaptive immunity, thus resulting in a tolerant microenvironment. Functional defects and immunomodulatory disorders have been observed after the use of bone marrow mesenchymal stem cells (BM-MSCs) from patients with ITP. Here, we summarize the underlying mechanisms and clinical applications of various derived MSCs for ITP treatment, focusing on the main mechanisms underlying the functional defects and immune dysfunction of BM-MSCs from patients with ITP. Functional effects associated with the activation of the p53 pathway include decreased activity of the phosphatidylinositol 3 kinase/Akt pathway and activation of the TNFAIP3/NF-κB/SMAD7 pathway. Immune dysfunction appears to be associated with an impaired ability of BM-MSCs to induce various types of immune cells in ITP. At present, research focusing on MSCs in ITP remains in preliminary stages. The application of autologous or exogenous MSCs in the clinical treatment of ITP has been attempted in only a small case study and must be validated in larger-scale clinical trials.

CSE1L silencing impairs tumor progression via MET/STAT3/PD-L1 signaling in lung cancer.

CSE1L is involved in the cancer progression of several types of cancer. Its expression status, potential oncogenic role and underlying mechanism in lung cancer, however, are unclear. Here, we investigated CSE1L expression in primary lung adenocarcinoma based on multiple datasets and then investigated its oncologic role in lung cancer. We also examined the potential molecular mechanisms of CSE1L in cancer progression. CSE1L levels were increased in cancer as compared to normal lung tissues. CSE1L expression was higher in poorly-differentiated late stage and lymph node positive metastatic tumors. Higher CSE1L level was correlated with worse patient outcome. Knockdown of CSE1L using siRNAs impaired cell proliferation, invasion, migration and induced cell apoptosis. Mechanistically, MET, STAT3 and PD-L1 proteins were decreased upon CSE1L silencing. These results suggest that CSE1L may affect tumor progression through MET/STAT3/PD-L1 signaling. CSE1L may have potential as a biomarker and therapeutic target for lung cancer.