Caspase-8 Induces Lysosome-Associated Cell Death in Cancer Cells.

Caspase-8, a well-characterized initiator of apoptosis, has also been found to play non-apoptotic roles in cells. In this study, we reveal that caspase-8 can induce cell death in a special way, which does not depend on activation of caspases and mitochondrial initiation. Instead, we prove that caspase-8 can cause lysosomal deacidification and thus lysosomal membrane permeabilization. V-ATPase is a multi-subunit proton pump that acidifies the lumen of lysosome. Our results demonstrate that caspase-8 can bind to the V0 domain of lysosomal Vacuolar H+-ATPase (V-ATPase), but not the V1 domain, to block the assembly of functional V-ATPase and alkalinize lysosomes. We further demonstrate that the C-terminal of caspase-8 is mainly responsible for the interaction with V-ATPase and can suffice to inhibit survival of cancer cells. Interestingly, regardless of the protein level, it is the expression rate of caspase-8 that is the major cause of cell death. Taken together, we identify a previously unrevealed caspase-8-mediated cell death pathway different form typical apoptosis, which could render caspase-8 a particular physiological function and may be potentially applied in treatments for apoptosis-resistant cancers.

NREP, transcriptionally upregulated by HIF-1α, aggravates breast cancer cell growth and metastasis by promoting glycolysis.

Breast cancer (BC) poses a great threat to women's health. Neuronal regeneration related protein (NREP) is a multifunctional protein that is involved in embryonic development, regeneration, and human disease. However, the biological function of NREP in tumors is rarely reported and its role in BC remains unknown. Bioinformatics analysis showed that NREP is highly expressed and closely correlated with poor survival in BC patients. Under hypoxic conditions, NREP was upregulated in BC cells, and this promotion was reversed by hypoxia-inducible factor HIF-1α suppression. Luciferase reporter system and chromatin immunoprecipitation assays confirmed that HIF-1α directly binds to the promoter of NREP to increase the transcriptional activity of NREP. NREP suppression inhibited cell proliferation, arrested the cell cycle at the G1/S phase, and promoted apoptosis and caspase-3 activity in BC cells. Suppression of NREP decreased the tube formation ability of HUVECs. In addition, NREP downregulation showed an inhibition effect on cell migration, invasion, and EMT of BC cells. In NREP overexpressed cells, all these changes were reversed. In vivo, animal experiments also confirmed that NREP promotes BC tumor growth and metastasis. In addition, NREP promoted cellular glycolysis and enhanced the levels of glucose consumption, ATP, lactate production, and glucose transporters expression in NREP-overexpressed BC cells. In summary, our results demonstrated that NREP could be transcriptional activated by HIF-1α, which may aggravate BC tumor growth and metastasis by promoting cellular glycolysis. This result suggested that NREP may play an essential part in BC progression.

Assessment of the impact of residual tumors at different sites post-neoadjuvant chemotherapy on prognosis in breast cancer patients and development of a disease-free survival prediction model.

Background: Residual disease after neoadjuvant chemotherapy (NAC) in breast cancer patients predicts worse outcomes than pathological complete response. Differing prognostic impacts based on the anatomical site of residual tumors are not well studied. Objectives: The study aims to assess disease-free survival (DFS) in breast cancer patients with different residual tumor sites following NAC and to develop a nomogram for predicting 1- to 3-year DFS in these patients. Design: A retrospective cohort study. Methods: Retrospective analysis of 953 lymph node-positive breast cancer patients with residual disease post-NAC. Patients were categorized into three groups: residual disease in breast (RDB), residual disease in lymph nodes (RDN), and residual disease in both (RDBN). DFS compared among groups. Patients were divided into a training set and a validation set in a 7:3 ratio. Prognostic factors for DFS were analyzed to develop a nomogram prediction model. Results: RDB patients had superior 3-year DFS of 94.6% versus 85.2% for RDN and 81.8% for RDBN (p < 0.0001). Clinical T stage, N stage, molecular subtype, and postoperative pN stage were independently associated with DFS on both univariate and multivariate analyses. Nomogram integrating clinical tumor-node-metastasis (TNM) stage, molecular subtype, pathological response demonstrated good discrimination (C-index 0.748 training, 0.796 validation cohort), and calibration. Conclusion: The location of residual disease has prognostic implications, with nodal residuals predicting poorer DFS. The validated nomogram enables personalized DFS prediction to guide treatment decisions.

Understanding the impact of residual tumor location on prognosis after breast cancer treatment After receiving neoadjuvant chemotherapy, a treatment to shrink tumors before surgery, some breast cancer patients may still have residual tumor cells. Our study focuses on how the location of these remaining tumors ­ whether in the breast, lymph nodes, or both ­ affects the likelihood of the cancer not returning within the next 1 to 3 years. This likelihood is known as 'disease-free survival' (DFS). We analyzed data from 953 breast cancer patients who underwent neoadjuvant chemotherapy and still had residual tumors. By comparing DFS among patients with tumors remaining in different locations, we discovered that the specific location of the residual tumor significantly impacts the patient's long-term health and recovery. Additionally, we developed a predictive tool called a 'nomogram' to help doctors and patients assess the risk of cancer recurrence in the next 1 to 3 years. This tool considers various factors such as the size and type of the tumor, as well as the location and extent of the residual tumor after chemotherapy. Our research offers new insights into understanding the risk of recurrence after breast cancer treatment. This work not only enhances our comprehension of breast cancer management but also aids in devising more personalized and effective treatment strategies for patients in the future.

Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer.

Introduction: Triple-negative breast cancer (TNBC) is a particularly aggressive cluster of breast cancer characterized by significant molecular heterogeneity. Glycolysis is a metabolic pathway that is significantly associated with cancer progression, metastasis, recurrence and chemoresistance. However, the potential roles of glycolysis-related genes in TNBC remain unclear. Methods: In the present study, we identified 108 glycolysis-related differentially expressed genes (DEGs) between breast cancer (BRCA) tumor tissues and normal tissues, and we divided patients into two different clusters with significantly distinct molecular characteristics, clinicopathological features, prognosis, immune cell infiltration and mutation burden. We then constructed a 10-gene signature that classified all TNBCs into low- and high-risk groups. Results: The high-risk group had significantly lower survival than the low-risk group, which implied that the risk score was an independent prognostic indicator for TNBC patients. Consequently, we constructed and validated a prognostic nomogram, which accurately predicted individual overall survival (OS) of TNBC. Moreover, the risk score predicted the drug sensitivity of chemotherapeutic agents and immunotherapy for TNBC patients. Discussion: The present comprehensive analysis of glycolysis-related DEGs in TNBC provides new methods for prognosis prediction and more effective treatment strategies.

Effect of the HER-2/CEP17 ratio in IHC 2+/FISH-amplified breast cancer on pathological complete response to neoadjuvant pertuzumab and trastuzumab treatment-a retrospective cohort study.

Background: Human epidermal growth factor receptor-2 (HER-2) protein expression level could serve as a predictor of pathological complete response (pCR) to neoadjuvant trastuzumab-containing regimens. The aim of the present study was to evaluate whether pCR to neoadjuvant trastuzumab and pertuzumab treatment is dependent on the level of the HER-2/CEP17 (chromosome enumeration probe 17) ratio in immunohistochemistry (IHC) 2+/fluorescence in situ hybridization (FISH)-amplified breast cancer. Methods: Patients with primary IHC 2+/FISH-amplified breast cancer who underwent neoadjuvant anti-HER-2 dual-targeted therapies were retrospectively included between January 1, 2020 and May 30, 2021. The primary predictive variable was HER-2/CEP17 ratio, and the primary outcome variable was pCR. Other variables consisted of age, menopausal status, tumor-node-metastasis (TNM) stage, estrogen receptor (ER), progesterone receptor (PgR), and Ki-67. Association between clinicopathologic variables and pCR was evaluated using the chi-square test and logistic regression analysis. Results: The median age of the patients was 51.78 years (25-67 years), and 50.7% of the patients were in the premenopausal stage. The clinical stage at diagnosis was Stage III in 38 patients (55.1%). Of all patients, 40.6% patients were estrogen receptor positive, and 75.4% patients had a Ki-67 index of ≥30%. The overall pCR (ypN0/isypN0) rate was 31.9%. Patients with HER-2/CEP17 ratio ≥6.0 had a pCR rate of 55.0%, it was statistically higher than 22.4% in patients with HER-2/CEP17 ratio <6.0. Logistic regression analysis confirmed the independent association between HER-2/CEP17 ratio and pCR (P=0.020, OR: 5.203, 95% CI: 1.302-20.783). Conclusions: A HER-2/CEP17 ratio ≥6.0 might be related to more achievement of pCR in the neoadjuvant anti-HER-2 dual-targeted therapies. Further studies are needed to validate the finding.

Inhibiting both proline biosynthesis and lipogenesis synergistically suppresses tumor growth.

Cancer cells often proliferate under hypoxia and reprogram their metabolism. However, how to find targets to effectively block the hypoxia-associated metabolic pathways remains unclear. Here, we developed a tool to conveniently calculate electrons dissipated in metabolic transformations. Based on the law of conservation of electrons in chemical reactions, we further built up an electron balance model for central carbon metabolism, and it can accurately outline metabolic plasticity under hypoxia. Our model specifies that glutamine metabolism reprogrammed for biosynthesis of lipid and/or proline actually acts as the alternative electron bin to enable electron transfer in proliferating cells under hypoxia. Inhibition of both proline biosynthesis and lipogenesis can synergistically suppress cancer cell growth under hypoxia and in vivo tumor onset. Therefore, our model helps to reveal combinations of potential targets to inhibit tumor growth by blocking hypoxia-rewired metabolism and provides a useful tool for future studies on cancer metabolism.

Coordinative metabolism of glutamine carbon and nitrogen in proliferating cancer cells under hypoxia.

Under hypoxia, most of glucose is converted to secretory lactate, which leads to the overuse of glutamine-carbon. However, under such a condition how glutamine nitrogen is disposed to avoid over-accumulating ammonia remains to be determined. Here we identify a metabolic flux of glutamine to secretory dihydroorotate, which is indispensable to glutamine-carbon metabolism under hypoxia. We found that glutamine nitrogen is necessary to nucleotide biosynthesis, but enriched in dihyroorotate and orotate rather than processing to its downstream uridine monophosphate under hypoxia. Dihyroorotate, not orotate, is then secreted out of cells. Furthermore, we found that the specific metabolic pathway occurs in vivo and is required for tumor growth. The identified metabolic pathway renders glutamine mainly to acetyl coenzyme A for lipogenesis, with the rest carbon and nitrogen being safely removed. Therefore, our results reveal how glutamine carbon and nitrogen are coordinatively metabolized under hypoxia, and provide a comprehensive understanding on glutamine metabolism.

PKM2 promotes reductive glutamine metabolism.

OBJECTIVE: Pyruvate kinases M (PKM), including the PKM1 and PKM2 isoforms, are critical factors in glucose metabolism. PKM2 promotes aerobic glycolysis, a phenomenon known as " the Warburg effect". The purpose of this study was to identify the roles of PKM2 in regulating cellular metabolism. METHODS: The CRISPR/Cas9 system was used to generate the PKM-knockout cell model to evaluate the role of PKM in cellular metabolism. Lactate levels were measured by the Vitros LAC slide method on an autoanalyzer and glucose levels were measured by the autoanalyzer AU5800. The metabolism of 13C6-glucose or 13C5-glutamine was evaluated by liquid chromatography/mass spectrometry analyses. The effects of PKM on tumor growth were detected in vivo in a tumor-bearing mouse model. RESULTS: We found that both PKM1 and PKM2 enabled aerobic glycolysis, but PKM2 converted glucose to lactate much more efficiently than PKM1. As a result, PKM2 reduced glucose levels reserved for intracellular utilization, particularly for the production of citrate, and thus increased the α-ketoglutarate/citrate ratio to promote the generation of glutamine-derived acetyl-coenzyme A through the reductive pathway. Furthermore, reductive glutamine metabolism facilitated cell proliferation under hypoxia conditions, which supports in vivo tumor growth. In addition, PKM-deletion induced a reverse Warburg effect in tumor-associated stromal cells. CONCLUSIONS: PKM2 plays a critical role in promoting reductive glutamine metabolism and maintaining proton homeostasis. This study is helpful to increase the understanding of the physiological role of PKM2 in cancer cells.

Construction of corneal epithelium with human amniotic epithelial cells and repair of limbal deficiency in rabbit models.

This study aims to evaluate the effect of a human amniotic epithelial cell (HAEC)-rabbit corneal stroma tissue-engineered cornea on ocular reconstruction in three different animal models. HAECs were isolated from human placenta, seeded onto rabbit corneal stroma. HAECs-rabbit corneal stroma tissue engineering cornea transplantation was examined in three distinct rabbit models: transplantation of cornea constructed (1) with lamellar corneal HAECs and rabbit corneal stroma, (2) with central corneal HAECs and rabbit corneal stroma, or (3) with full-thickness corneal HAECs and rabbit corneal stroma. In the tissue engineering corneal transplantation groups in all three models, the mean number of days to corneal epithelial healing was significantly shorter than that in the control group and the mean number of days to corneal neovascularization was significantly greater than in the control group. In addition, in the tissue engineering corneal transplantation groups in the central lamellar cornea model and the full-thickness corneal transplantation model neovascularization, corneal turbidity, and epithelial fluorescence were significantly less than in the control groups. HAECs can be induced to differentiate into corneal epithelial cells, which may be suitable for the reconstruction of the corneal epithelium in cases of limbal stem cell deficiency.

Curcumin induced HepG2 cell apoptosis-associated mitochondrial membrane potential and intracellular free Ca(2+) concentration.

Curcumin is a phytochemicals which is able to inhibit carcinogenesis in a variety of cell lines. However little is known about its effect on the cell-surface and the interaction between cell-surface and the reacting drug. In this study, we found that curcumin could inhibit the growth of human hepatocellular carcinoma cell line (HepG2), change the cell-surface morphology and trigger the pro-apoptotic factor to promote cell apoptosis. Cell counting kit results indicated that the cell viability had a dose-dependent relationship with the curcumin concentration in 24h. The 50% inhibiting concentration (IC50) was 17.5±3.2µM. It was clear that curcumin could lead to apoptosis, and the apoptosis increased as the reacting concentration goes up. Moreover, curcumin could also affect the disruption of mitochondrial membrane potential and the disturbance of intracellular free Ca(2+) concentration. All these alterations changed the cell morphology and cell-surface ultrastructure with atomic force microscopy (AFM) detecting at nanoscale level. AFM results indicated that cells in control group clearly revealed a typical long spindle-shaped morphology. Cell tails was wide and unrolled. The ultrastructure showed that cell membrane was made up of many nanoparticles. After being treated with curcumin, cell tail was narrowed. The size of membrane nanoparticles became small. These results can improve our understanding of curcumin which can be potentially developed as a new agent for treatment of hepatocellular carcinoma since it has been reported to have a low cytotoxic effect on healthy cell. AFM can be used as a powerful tool for detecting ultrastructures.

Curcumin induced nanoscale CD44 molecular redistribution and antigen-antibody interaction on HepG2 cell surface.

The cell surface glycoprotein CD44 was implicated in the progression, metastasis and apoptosis of certain human tumors. In this study, we used atomic force microscope (AFM) to monitor the effect of curcumin on human hepatocellular carcinoma (HepG2) cell surface nanoscale structure. High-resolution imaging revealed that cell morphology and ultrastructure changed a lot after being treated with curcumin. The membrane average roughness increased (10.88 ± 4.62 nm to 129.70 ± 43.72 nm) and the expression of CD44 decreased (99.79 ± 0.16% to 75.14 ± 8.37%). Laser scanning confocal microscope (LSCM) imaging showed that CD44 molecules were located on the cell membrane. The florescence intensity in control group was weaker than that in curcumin treated cells. Most of the binding forces between CD44 antibodies and untreated HepG2 cell membrane were around 120-220 pN. After being incubated with curcumin, the major forces focused on 70-150 pN (10 µM curcumin-treated) and 50-120 pN (20 µM curcumin-treated). These results suggested that, as result of nanoscale molecular redistribution, changes of the cell surface were in response to external treatment of curcumin. The combination of AFM and LSCM could be a powerful method to detect the distribution of cell surface molecules and interactions between molecules and their ligands.