Autophagy supports clear cell renal cell carcinoma (ccRCC) progression, yet its upstream regulatory mechanisms remain to be fully defined. Integrating bulk, single-cell, and spatial transcriptomics, we identify a regulatory axis wherein the transcription factor ZBED6 activates the expression of the autophagy-initiating kinase PIK3C3 via the repression of IGF2, thereby driving pro-tumorigenic autophagy. Spatial analysis confirms the co-localization of ZBED6 and PIK3C3 in tumor tissues. Using genes associated with this axis, we develop a six-gene prognostic signature that stratifies patients with distinct survival outcomes and differential responses to immunotherapy and targeted therapy. Functional assays show that ZBED6 promotes ccRCC cell proliferation, migration, and invasion. This work elucidates a pathway governing autophagy in ccRCC and provides a framework for prognostic assessment and precision therapy.

Frontal lipomas are commonly excised through an overlying incision. Endoscopic techniques can be used to remove the lesions for a cosmetic outcome. This study aimed to evaluate the outcomes of endoscopic removal of frontal lipomas and summarize the associated experiences. Eighty-three patients with forehead lipomas were included in the retrospective study. Fifty-six patients underwent endoscopic surgery (endoscopic excision group), while twenty-seven patients underwent direct excision (direct excision group). Patients characteristics including age, gender, tumor locations and sizes were collected. Additionally, surgery duration, surgery costs, hospital costs, satisfaction with the procedure, complications and follow-up were also evaluated. Patients in endoscopic excision group were younger than those in direct excision group. Additionally, the average surgery duration in endoscopic excision group was longer compared to that in direct excision group. Patients in endoscopic excision group were more satisfied with smoothness of appearance and were more than willing to recommend endoscopic surgery to others. There was no significant difference in satisfaction regarding pain or discomfort control and hospitalization costs between the two groups. No complications such as wound infection, poor wound healing, forehead scars and recurrence were observed in endoscopic excision group. No noticeable scars were left on the forehead in the endoscopic excision group compared to the direct excision group. Endoscopic excision is a safe and minimally invasive approach for forehead lipomas. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

OBJECTIVES:The composition of the tumour microenvironment is very complex, and measuring the extent of immune cell infiltration can provide an important guide to clinically significant treatments for cancer, such as immune checkpoint inhibition therapy and targeted therapy. We used multiple machine learning (ML) models to predict differences in immune infiltration in clear cell renal cell carcinoma (ccRCC), with computed tomography (CT) imaging pictures serving as a model for machine learning. We also statistically analysed and compared the results of multiple typing models and explored an excellent non-invasive and convenient method for treatment of ccRCC patients and explored a better, non-invasive and convenient prediction method for ccRCC patients. METHODS:The study included 539 ccRCC samples with clinicopathological information and associated genetic information from The Cancer Genome Atlas (TCGA) database. The Single Sample Gene Set Enrichment Analysis (ssGSEA) algorithm was used to obtain the immune cell infiltration results as well as the cluster analysis results. ssGSEA-based analysis was used to obtain the immune cell infiltration levels, and the Boruta algorithm was further used to downscale the obtained positive/negative gene sets to obtain the immune infiltration level groupings. Multifactor Cox regression analysis was used to calculate the immunotherapy response of subgroups according to Tumor Immune Dysfunction and Exclusion (TIDE) algorithm and subgraph algorithm to detect the difference in survival time and immunotherapy response of ccRCC patients with immune infiltration. Radiomics features were screened using LASSO analysis. Eight ML algorithms were selected for diagnostic analysis of the test set. Receiver operating characteristic (ROC) curve was used to evaluate the performance of the model. Draw decision curve analysis (DCA) to evaluate the clinical personalized medical value of the predictive model. RESULTS:The high/low subtypes of immune infiltration levels obtained by optimisation based on the Boruta algorithm were statistically different in the survival analysis of ccRCC patients. Multifactorial immune infiltration level combined with clinical factors better predicted survival of ccRCC patients, and ccRCC with high immune infiltration may benefit more from anti-PD-1 therapy. Among the eight machine learning models, ExtraTrees had the highest test and training set ROC AUCs of 1.000 and 0.753; in the test set, LR and LightGBM had the highest sensitivity of 0.615; LR, SVM, ExtraTrees, LightGBM and MLP had higher specificities of 0.789, 1.000, 0.842, 0.789 and 0.789, respectively; and LR, ExtraTrees and LightGBM had the highest accuracy of 0. 719, 0.688 and 0.719 respectively. Therefore, the CT-based ML achieved good predictive results in predicting immune infiltration in ccRCC, with the ExtraTrees machine learning algorithm being optimal. CONCLUSION:The use of radiomics model based on renal CT images can be noninvasively used to predict the immune infiltration level of ccRCC as well as combined with clinical information to create columnar plots predicting total survival in people with ccRCC and to predict responsiveness to ICI therapy, findings that may be useful in stratifying the prognosis of patients with ccRCC and guiding clinical practitioners to develop individualized regimens in the treatment of their patients.

Introduction Macrophage phenotypes have been linked to progression and prognosis of cutaneous melanoma. However, the association between Warburg effect in A375 melanoma and macrophages polarization, as well as the underlying mechanisms, remains less well documented. Objective The present study aimed to investigate the effect of lactate derived from A375 melanoma on macrophage polarization, melanoma phenotype responses and the underlying mechanisms. Methods Flow cytometry was performed to evaluate the expression of M1 and M2 markers, cell cycle and apoptosis. Levels of transforming growth factor β (TGF-β) and tumor necrosis factor α (TNF-α) were determined with enzyme-linked immunosorbent assay (ELISA) kit. Proliferation and invasion were assessed by CCK8 and transwell assays, respectively. The extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) were analyzed using an XF96 extracellular flux analyzer. Protein expressions were determined by Western blotting. Results Our results revealed that melanoma A375 conditioned medium (A375-CM) induced peripheral blood mononuclear cells (PBMCs) to polarize toward anti-inflammatory M2 macrophages. M2 markers CD206 and ARG1 expression increased, as did TGF-β secretion. Conversely, M1 marker CD68 expression decreased. Furthermore, hypoxia promoted macrophage M2 polarization induced by A375-CM. Elevated lactate level in PIG1-conditioned medium (PIG1-CM) induced M2 polarization, whereas the lactate transport inhibitor AZD3965 suppressed this effect in PBMCs cultured with A375-CM. Additionally, lactate derived from melanoma regulated M1/M2 polarization by the tricarboxylic acid (TCA) cycle instead of glycolysis. Significantly, polarized macrophages altered melanoma phenotypes including proliferation, clone formation, cell cycle, apoptosis, migration and invasion via TCA cycle and TGF-β. Conclusion Our data collectively demonstrate that lactate derived from melanoma facilitates polarization of M2 macrophages, which subsequently leads to modifications in melanoma phenotypes via TCA cycle and TGF-β signaling.

The onset of sarcopenia is intimately linked with aging, posing significant implications not only for individual patient quality of life but also for the broader societal healthcare framework. Early and accurate identification of sarcopenia and a comprehensive understanding of its mechanistic underpinnings and therapeutic targets paramount to addressing this condition effectively. This review endeavors to present a cohesive overview of recent advancements in sarcopenia research and diagnosis. We initially delve into the contemporary diagnostic criteria, specifically referencing the European Working Group on Sarcopenia in Older People (EWGSOP) 2 and Asian Working Group on Sarcopenia (AWGS) 2019 benchmarks. Additionally, we elucidate comprehensive assessment techniques for muscle strength, quantity, and physical performance, highlighting tools such as grip strength, chair stand test, dual-energy X-ray Absorptiometry (DEXA), bioelectrical impedance analysis (BIA), gait speed, and short physical performance battery (SPPB), while also discussing their inherent advantages and limitations. Such diagnostic advancements pave the way for early identification and unequivocal diagnosis of sarcopenia. Proceeding further, we provide a deep-dive into sarcopenia's pathogenesis, offering a thorough examination of associated signaling pathways like the Myostatin, AMP-activated protein kinase (AMPK), insulin/IGF-1 Signaling (IIS), and the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathways. Each pathway's role in sarcopenia mediation is detailed, underscoring potential therapeutic target avenues. From a mechanistic perspective, the review also underscores the pivotal role of mitochondrial dysfunction in sarcopenia, emphasizing elements such as mitochondrial oxidative overload, mitochondrial biogenesis, and mitophagy, and highlighting their therapeutic significance. At last, we capture recent strides made in sarcopenia treatment, ranging from nutritional and exercise interventions to potential pharmacological and supplementation strategies. In sum, this review meticulously synthesizes the latest scientific developments in sarcopenia, aiming to enhance diagnostic precision in clinical practice and provide comprehensive insights into refined mechanistic targets and innovative therapeutic interventions, ultimately contributing to optimized patient care and advancements in the field.

Background Renal clear cell carcinoma (RCC) is a common cancer in urinary system with increasing incidence. At present, targeted therapy and immunotherapy are the main therapeutic programs in clinical therapy. To develop novel drugs and provide new ideas for clinical therapy, the identification of potential ccRCC subtypes and potential target genes or pathways has become a current research focus. Aim The aim of this study was to explore the underlying mechanisms of mitochondrial function in ccRCC. This regulatory pathway is closely related to tumor development and metastasis in ccRCC patients, and their abnormal changes may affect the prognosis of cancer patients. Therefore, we decided to construct a prognostic model of ccRCC patients based on mitochondrial regulatory genes, aiming to provide new methods and ideas for clinical therapy. Result The 5-year survival prediction model based on iterative LASSO reached 0.746, and the cox model based on coxph reached C-index = 0.77, integrated c/D AUC = 0.61, and integrated brier score = 0.14. The rsf model based on randomForestSRC was built with C-index = 0.82, integrated c/D AUC = 0.69, and integrated brier score = 0.11. The results show that mitochondrial regulatory pathway is a potential target pathway for clinical therapy of ccRCC, which can provide guidelines for clinical targeted therapy, immunotherapy and other first-line therapy.

Our previous study demonstrated altered glucose metabolism and enhanced phosphorylation of the PI3K/AKT pathway in keloid fibroblasts (KFb) under hypoxic conditions. However, whether the PI3K/AKT pathway influences KFb cell function by regulating glucose metabolism under hypoxic conditions remains unclear. Here, we show that when PI3K/AKT pathway was inactivated with LY294002, the protein expression of glycolytic enzymes decreased, while the amount of mitochondria and mitochondrial membrane potential increased. The key parameters of extracellular acidification rate markedly diminished, and those of oxygen consumption rate significantly increased after inhibition of the PI3K/AKT pathway. When the PI3K/AKT pathway was suppressed, the levels of reactive oxygen species (ROS) and mitochondrial ROS (mitoROS) were significantly increased. Meanwhile, cell proliferation, migration and invasion were inhibited, and apoptosis was increased when the PI3K/AKT pathway was blocked. Additionally, cell proliferation was compromised when KFb were treated with both SC79 (an activator of the PI3K/AKT pathway) and 2-deoxy-d-glucose (an inhibitor of glycolysis), compared with the SC79 group. Moreover, a positive feedback mechanism was demonstrated between the PI3K/AKT pathway and hypoxia-inducible factor-1α (HIF-1α). Our data collectively demonstrated that the PI3K/AKT pathway promotes proliferation and inhibits apoptosis in KFb under hypoxia by regulating glycolysis, indicating that the PI3K/AKT signalling pathway could be a therapeutic target for keloids.

. From the perspective of bioinformatics and metabolomics, the results suggest that glycoFAsynthesis and cholesterol biosynthesis have great changes in ccRCC. These two changes are likely to have an important impact on the occurrence and development of ccRCC.

As a common tumor of the urinary system, the morbidity and mortality related to renal carcinoma, are increasing annually. Clear cell renal cell carcinoma (CCRCC) is the most common subtype of renal cell carcinoma, accounting for approximately 75% of the total number of patients with renal cell carcinoma. Currently, the clinical treatment of ccRCC involves targeted therapy, immunotherapy, and a combination of the two. In immunotherapy, PD-1/PD-L1 blocking of activated T cells to kill cancer cells is the most common treatment. However, as treatment progresses, some patients gradually develop resistance to immunotherapy. Meanwhile, other patients experience great side effects after immunotherapy, resulting in a survival status far lower than the expected survival rate. Based on these clinical problems, many researchers have been working on the improvement of tumor immunotherapy in recent years and have accumulated numerous research results. We hope to find a more suitable direction for future immunotherapy for ccRCC by combining these results and the latest research progress.

BACKGROUND:Aerobic glycolysis (the Warburg effect) may play an important role in keloid pathogenesis, which may be aggravated by the hypoxic microenvironment in keloids. Phosphoglycerate kinase 1 (PGK1), a key glycolytic enzyme, is essential for cellular aerobic glycolysis, but its role in keloid formation remains unknown. This study aimed to detect PGK1 expression in keloid tissue and investigate the effects of inhibiting PGK1 expression on keloid fibroblasts (KFbs) under hypoxia and normoxia.METHODS:Normal skin and keloid samples were separated into two parts, one was used for immunohistochemistry, and one for primary cell culture. PGK1 tissue expression was detected by immunohistochemistry. Reverse-transcriptase polymerase chain reaction and Western blotting were used to detect PGK1, GLUT1, LDHA, and COL1 expression, and glucose uptake and lactate production were detected with a microplate reader. Cell proliferation and apoptosis were investigated with IncuCyte and flow cytometry. Cell migration and invasion were detected with Transwell assays. Glycolytic function was explored with the Seahorse XF96 system.RESULTS:Immunohistochemistry showed PGK1 overexpression in keloid tissue compared with normal skin tissue ( P < 0.05). Consistently, PGK1 expression was significantly higher in KFbs than in normal skin fibroblasts (NFbs), and hypoxia stimulated PGK1 expression in KFbs and NFbs ( P < 0.05). PGK1 knockdown significantly inhibited KFb glycolysis, proliferation, migration, invasion, glucose consumption, and lactate production ( P < 0.05). Furthermore, GLUT1, LDHA, and COL1 expression was decreased in KFbs compared with NFbs ( P < 0.05). In addition, suppressing PGK1 may mediate the PI3K/AKT pathway to down-regulate GLUT1, LDHA, and COL1 expression ( P < 0.05).CONCLUSIONS:These findings provide new evidence that suppressing PGK1, inhibiting glycolysis, reduces KFb proliferation, migration, invasion, and type I collagen expression. Targeting PGK1 to inhibit the Warburg effect may be a new therapeutic strategy for keloids.CLINICAL RELEVANCE STATEMENT:This article may provide new suggestions into the pathogenesis and treatment of keloids.CLINICAL QUESTION/LEVEL OF EVIDENCE:Therapeutic, V.

Fatty acids (FAs) are complex and essential biomolecules in the human body and are critical to the formation of cell membranes, energy metabolism, and signaling. FAs are the major components of several lipids including phospholipids, sphingolipids, and triglycerides, and consist of carboxylic acid groups and hydrocarbon chains of different carbon lengths and degrees of desaturation. They can synthesize more complex lipids, including acylglycerides (DAG) and triacylglycerides (TAG). Saturated fatty acids (SFA), polyunsaturated fatty acids (PUFA), and monounsaturated fatty acids (MUFA) can be classified according to whether the hydrocarbon chain is saturated or not. Normal cells are commonly supplied with energy by the tricarboxylic acid cycle. On the contrary, to obtain energy, tumor cells usually use aerobic glycolysis (Warburg effect) and produce large amounts of FAs to maintain membrane structure to support cell proliferation. In addition, cancer migration, immune escape, development of drug resistance, and fatty acids are very closely related. In conclusion, a deeper understanding of the molecular mechanisms of fatty acid metabolism could provide a more plausible explanation for the progression of cancer cells and provide new potential targets for therapy.

Urologic cancers such as kidney, bladder, prostate, and uroepithelial cancers have recently become a considerable global health burden, and the response to immunotherapy is limited due to immune escape and immune resistance. Therefore, it is crucial to find appropriate and effective combination therapies to improve the sensitivity of patients to immunotherapy. DNA damage repair inhibitors can enhance the immunogenicity of tumor cells by increasing tumor mutational burden and neoantigen expression, activating immune-related signaling pathways, regulating PD-L1 expression, and reversing the immunosuppressive tumor microenvironment to activate the immune system and enhance the efficacy of immunotherapy. Based on promising experimental results from preclinical studies, many clinical trials combining DNA damage repair inhibitors (e.g., PARP inhibitors and ATR inhibitors) with immune checkpoint inhibitors (e.g., PD-1/PD-L1 inhibitors) are underway in patients with urologic cancers. Results from several clinical trials have shown that the combination of DNA damage repair inhibitors with immune checkpoint inhibitors can improve objective rates, progression-free survival, and overall survival (OS) in patients with urologic tumors, especially in patients with defective DNA damage repair genes or a high mutational load. In this review, we present the results of preclinical and clinical trials of different DNA damage repair inhibitors in combination with immune checkpoint inhibitors in urologic cancers and summarize the potential mechanism of action of the combination therapy. Finally, we also discuss the challenges of dose toxicity, biomarker selection, drug tolerance, drug interactions in the treatment of urologic tumors with this combination therapy and look into the future direction of this combination therapy.

Bladder cancer is the most common malignancy of the urinary system and is also one of the 10 most common cancers of the human body. Currently, clinical treatment of bladder cancer mainly utilizes partial or total cystectomy, supplemented by conventional chemotherapy. However, such treatment has not fully improved the prognosis of patients and is associated with various side effects. Studies have found that flavonoids extracted from plants can be used in radiotherapy and chemotherapy for the prevention of postoperative recurrence and metastasis but also alone for the treatment of advanced tumors. Both applications can ameliorate clinical symptoms, improve the quality of life, and prolong the survival of patients. Based on the above information, the present study investigated the effect of isoquercitrin, a type of flavonoid found in Bidens pilosa L. extracts, on bladder cancer progression, with the goal of understanding the biological characteristics of isoquercitrin by which it participates in bladder cancer progression. Using in vitro experiments, we found that therapeutic doses of isoquercitrin significantly inhibited cell proliferation and induced apoptosis in human bladder cancer cells and that the cell cycle was arrested in the G1 phase. Isoquercitrin inhibited phosphatidylinositol 3-kinase (PI3K) and Akt phosphorylation expression levels, thus inhibiting proliferation and inducing apoptosis in the cancer cells. In addition, we found that isoquercitrin reduced protein kinase C (PKC) protein expression levels in the human bladder cancer cell lines. We also showed via in vivo experiments that isoquercitrin inhibited xenograft tumor growth in nude mice. In conclusion, our study confirmed that isoquercitrin inhibits bladder cancer progression in vivo and demonstrated that the molecular mechanism of this inhibition may be closely associated with the PI3K/Akt and PKC signaling pathways.

Renal cell carcinoma (RCC) is a type of cancer with an increasing rate of morbidity and mortality and is a serious threat to human health. The treatment of RCC, especially kidney renal clear cell carcinoma (KIRC), has always been the focus of clinical treatment. Using The Cancer Genome Atlas (TCGA) database as a starting point, we explored the feasibility of applying the pyroptosis mechanism to KIRC treatment by searching for cancer markers associated with pyroptosis and cancer treatment signatures. The obtained samples were clustered using unsupervised clustering analysis to define the different KIRC subtypes with different pyroptosis expression levels. Based on this, a gene expression analysis was performed to explore the carcinogenic mechanism that is markedly related to pyroptosis. The Genomics of Drug Sensitivity in Cancer database and single sample gene set enrichment analysis (ssGSEA) algorithm were used to analyze the different treatment methods of the current prominent KIRC to determine whether pyroptosis plays a role. Finally, LASSO regression was used to screen for related genes and construct a model to predict patient prognosis. The expression levels of GSDME, CASP3, CASP4, CASP5, CHMP3, and CHMP4C were incorporated into the model construction. After verification, the prediction accuracy of the 3-, 5-, 7- and 10 years survival rates of our prognostic model were 0.66, 0.701, 0.719, and 0.728, respectively. Through the above analysis, we demonstrated the feasibility of pyroptosis in the clinical treatment of KIRC and provided novel ideas and suggestions for the clinical treatment of KIRC.

The occurrence of clear cell renal cell carcinoma (ccRCC) is related to changes in the transforming growth factor-β (TGF-β) signaling pathway. In this study, we adopted an integrated approach to identify and verify the effects of changes in this pathway on ccRCC and provide a guide for identifying new therapeutic targets. We performed transcriptome analysis of 539 ccRCC cases from The Cancer Genome Atlas (TCGA) and divided the samples into different TGF-β clusters according to unsupervised hierarchical clustering. We found that 76 of the 85 TGF-β pathway genes were dysregulated, and 55 genes were either protective or risk factors affecting the prognosis of ccRCC. The survival time of patients with tumors with low TGF-β scores was shorter than that of patients with tumors with high TGF-β scores. The overall survival (OS) of patients with ccRCC with high TGF-β scores was better than that of patients with low TGF-β scores. The TGF-β score correlated with the expression of key ccRCC and deacetylation genes. The sensitivity of tumor patients to targeted drugs differed between the high and low TGF-β score groups. Therefore, a prognostic model based on the TGF-β gene pathway can predict the prognosis of ccRCC patients. Grouping patients with ccRCC according to their TGF-β score is of great significance for evaluating the prognosis of patients, selecting targeted drugs, and identifying new therapeutic targets.

Anoikis is a specialized mode of programmed cell death. Specifically, once cells detach from the original extracellular matrix, an apoptotic program is initiated, preventing colonization of the cells in distant parts of the organ. Therefore, both distant metastasis and colonization of cancer cells rely on the anoikis resistance of cancer cells. Bioinformatics analysis was performed to confirm the relation of anoikis to kidney renal cell carcinoma (KIRC). To construct a prognostic model for patients with KIRC, we investigated several genes of the anoikis pathway most closely related to KIRC and also contrasted the effects of common anticancer drugs on the KIRC pathway. Besides KIRC, we explored the expression of anoikis-related genes in various other cancers. We classified patients with KIRC into three clusters based on the coefficients and mRNA expression levels of anoikis-related genes selected using the GSVA algorithm. We used the GDSC database to predict the response of the anoikis pathway to common anticancer drugs and explored the potential targets of the anoikis pathway in KIRC. We then analyzed the response of common immunotherapies to the anoikis pathway to analyze the correlation between anoikis and immune checkpoint inhibitor therapy. Finally, eleven cancer-related genes were screened and a prognostic model was constructed using LASSO regression.

The development of cancer treatment methods is constantly changing. For common cancers, our treatment methods are still based on conventional treatment methods, such as chemotherapy, radiotherapy, and targeted drug therapy. Nevertheless, the emergence of tumor resistance has a negative impact on treatment. Regulated cell death is a gene-regulated mode of programmed cell death. After receiving specific signal transduction, cells change their physical and chemical properties and the extracellular microenvironment, resulting in structural destruction and decomposition. As research accumulates, we now know that by precisely inducing specific cell death patterns, we can treat cancer with less collateral damage than other treatments. Many newly discovered types of RCD are thought to be useful for cancer treatment. However, some experimental results suggest that some RCDs are not sensitive to cancer cell death, and some may even promote cancer progression. This review summarizes the discovered types of RCDs, reviews their clinical efficacy in cancer treatment, explores their anticancer mechanisms, and discusses the feasibility of some newly discovered RCDs for cancer treatment in combination with the immune and tumor microenvironment.

Clear cell renal cell carcinoma (ccRCC) accounts for 75% of the total incidence of renal cancer, and every year the number of morbidity and mortality increases, posing a serious threat to public health. The current main treatment methods for kidney cancer include drug-targeted therapy and immunotherapy. Although there are many treatment options for kidney cancer, they all have limitations, including drug resistance, unsatisfied long-term benefits, and adverse effects. Therefore, it is crucial to identify more effective therapeutic targets. As a newly discovered mechanism of cell death, copper-induced cell death (cuprotosis) is closely related to changes in cell metabolism, particularly in copper metabolism. Current studies have shown that the key signaling pathway of cuprotosis, the FDX1 (Ferredoxin 1)-LIAS (Lipoic Acid Synthetase) axis, plays an important role in the regulation of cellular oxidative stress, which can directly affect cell survival via inducing or promoting cancer cell death. Therefore, we speculated that this regulatory cell death mechanism might serve as a potential therapeutic target for the clinical treatment of renal cancer. To test this, we first performed a pan-cancer analysis based on cuprotosis-related genomic and transcriptomic levels to reveal the expression of cuprotosis in cancer. Next, GSVA-clustering analysis was performed with data from the Cancer Genome Atlas (TCGA) cohort, and the cohort was divided into three clusters according to the gene enrichment levels of cuprotosis marker genes. In addition, we analyzed the potential of using cuprotosis in clinical treatment from multiple perspectives, including chemotherapeutic drug susceptibility test, immune target inhibition treatment responsiveness, and histone modification. Combining the results of multi-omics analysis, we focused on the feasibility of this novel regulatory cell death mechanism in ccRCC treatment and further constructed a prognostic model. Finally, we verified our results by integrating the patient's gene expression information and radiomics information. Our study provides new insights into the development and clinical application of targeting cuprotosis pathway.

Immunogenic cell death (ICD) is a regulated cell death (RCD) pathway. In response to physical and chemical signals, tumor cells activate specific signaling pathways that stimulate stress responses in the endoplasmic reticulum (ER) and expose damage-associated molecular patterns (DAMPs), which promote antitumor immune responses. As a result, the tumor microenvironment is altered, and many tumor cells are killed. The ICD response in tumor cells requires inducers. These inducers can be from different sources and contribute to the development of the ICD either indirectly or directly. The combination of ICD inducers with other tumor treatments further enhances the immune response in tumor cells, and more tumor cells are killed; however, it also produces side effects of varying severity. New induction methods based on nanotechnology improve the antitumor ability and significantly reduces side effects because they can target tumor cells precisely. In this review, we introduce the characteristics and mechanisms of ICD responses in tumor cells and the DAMPs associated with ICD responses, summarize the current methods of inducing ICD response in tumor cells in five distinct categories: chemical sources, physical sources, pathogenic sources, combination therapies, and innovative therapies. At the same time, we introduce the limitations of current ICD inducers and make a summary of the use of ICD responses in clinical trials. Finally, we provide an outlook on the future of ICD inducer development and provide some constructive suggestions.