Tumour budding is a novel marker in breast cancer: the clinical application and future prospects

Proteogenomic Landscape of Breast Ductal Carcinoma Reveals Tumor Progression Characteristics and Therapeutic Targets

Multi-omics studies of breast ductal carcinoma (BRDC) have advanced the understanding of the disease's biology and accelerated targeted therapies. However, the temporal order of a series of biological events in the progression of BRDC is still poorly understood. A comprehensive proteogenomic analysis of 224 samples from 168 patients with malignant and benign breast diseases is carried out. Proteogenomic analysis reveals the characteristics of linear multi-step progression of BRDC, such as tumor protein P53 (TP53) mutation-associated estrogen receptor 1 (ESR1) overexpression is involved in the transition from ductal hyperplasia (DH) to ductal carcinoma in situ (DCIS). 6q21 amplification-associated nuclear receptor subfamily 3 group C member 1 (NR3C1) overexpression helps DCIS_Pure (pure DCIS, no histologic evidence of invasion) cells avoid immune destruction. The T-cell lymphoma invasion and metastasis 1, androgen receptor, and aldo-keto reductase family 1 member C1 (TIAM1-AR-AKR1C1) axis promotes cell invasion and migration in DCIS_adjIDC (DCIS regions of invasive cancers). In addition, AKR1C1 is identified as a potential therapeutic target and demonstrated the inhibitory effect of aspirin and dydrogesterone as its inhibitors on tumor cells. The integrative multi-omics analysis helps to understand the progression of BRDC and provides an opportunity to treat BRDC in different stages.

The vasculogenic mimicry, CD146+ and CD105+ microvessel density in the prognosis of endometrioid endometrial adenocarcinoma: a single-centre immunohistochemical study

The microvessel compartment is crucial in the tumour microenvironment of endometrioid adenocarcinoma (EA). This study investigated the role of vasculogenic mimicry (VM), CD146, and CD105 microvessel density in the clinical prognosis of EA. A total of 188 EA cases were analyzed, with VM channels and microvessels detected using PAS/CD31, CD146, and CD105 staining. Mann-Whitney and Fisher exact tests were used to compare the study groups according to the evaluated criteria. ROC analysis included determination of the confidence interval (CI) and area under the ROC curve. The Mantel-Cox test was used to analyze progression-free survival. Multivariate Cox proportional hazard analysis was performed using stepwise regression. Results showed that VM channels and CD146 and CD105 microvessels were significantly higher (p < 0.0001) in cases with unfavourable prognosis. Univariate survival analysis highlighted the significant role of these factors in progression-free survival, while multivariate Cox analysis identified VM and CD146+ vessels as predictive factors. This study demonstrates, for the first time, that VM, CD146, and CD105-positive vessels are involved in EA prognosis, suggesting their potential as independent prognostic indicators and targets for antiangiogenic therapy. However, these findings require further validation through large-scale studies.

The relationship between tumor budding and survival of patients with breast cancer: A meta-analysis

Tumor budding has been proposed as a potential prognostic marker in various cancers, but its association with survival outcomes in breast cancer (BC) remains unclear. This meta-analysis aimed to clarify the relationship between tumor budding and survival outcomes in patients with BC. A comprehensive literature search was conducted in PubMed, EMBASE, and Web of Science. Cohort studies examining the association between tumor budding and overall survival (OS) and progression-free survival (PFS) in BC patients were included. Hazard ratios (HRs) and 95% confidence intervals (CIs) were pooled using a random-effects model to account for potential heterogeneity. Eleven cohort studies, including 2,828 patients, met the inclusion criteria. High tumor budding was significantly associated with poorer OS (HR = 1.89, 95% CI = 1.37-2.60, P < 0.001) and PFS (HR = 1.89, 95% CI = 1.32-2.71, P < 0.001). Subgroup analyses revealed a stronger association in studies where high tumor budding was defined as ≥ 10 buds / high-power field (HPF) compared to those with lower cutoffs. Sensitivity analyses confirmed the robustness of the findings. This meta-analysis demonstrates that high tumor budding is associated with significantly worse OS and PFS in BC patients, underscoring its prognostic significance. These findings suggest tumor budding could be a valuable marker in clinical assessments, and further research is needed to standardize its evaluation criteria in BC.

Exploring the Usefulness of Tumor Budding as a Histopathological Marker Compared to Tumor-Node-Metastasis (TNM) Staging in Breast Cancer

BACKGROUND

 Tumor budding, defined as small clusters of tumor cells at the invasive front of carcinomas, has gained attention as a potential prognostic marker in various cancers. This study aimed to evaluate the utility of tumor budding as a histopathological marker in breast cancer and compare it to traditional prognostic markers such as histological grading, tumor-node-metastasis (TNM) staging, and molecular subtypes.

METHODS

 A prospective, cross-sectional study was conducted over two years (June 2022 to May 2024) in the Department of Pathology at Jawaharlal Nehru Medical College, Wardha. Seventy-two female patients diagnosed with breast carcinoma who underwent modified radical mastectomy were included. Tumor budding was assessed through histopathological analysis and categorized as high or low. Statistical correlations were established between tumor budding and tumor size, histological grade, lymph node involvement, vascular invasion, and molecular subtypes (estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and triple-negative breast cancer, TNBC). The chi-square test and multiple regression analyses were applied to assess significance.

RESULTS

 High tumor budding was observed in 68.1% of patients and was significantly associated with larger tumor size (p = 0.040), higher histological grade (p = 0.009), lymph node metastasis (p = 0.002), and vascular invasion (p = 0.003). The postmenopausal age group (>55 years) demonstrated a higher prevalence of high budding (p = 0.010). No significant correlation was found between tumor budding and molecular subtypes (p = 0.39), although high budding was more frequent in TNBC cases.

CONCLUSION

 Tumor budding is significantly associated with more aggressive tumor characteristics in breast cancer. Incorporating tumor budding into routine pathological assessments alongside TNM staging and histological grading may enhance the ability to identify high-risk patients and guide treatment strategies. Further large-scale, multicenter studies are warranted to confirm its prognostic value.

GAS5 lncRNA: A biomarker and therapeutic target in breast cancer

Breast cancer is one of the most common causes of cancer-related mortality globally, and its aggressive phenotype results in poor treatment outcomes. Growth Arrest-Specific 5 long non-coding RNA has attracted considerable attention due to its pivotal function in apoptosis regulation and tumor aggressiveness in breast cancer. Gas5 enhances apoptosis by regulating apoptotic proteins, such as caspases and BCL2 family proteins, and the sensitivity of BCCs to chemotherapeutic agents. At the same time, low levels of GAS5 increased invasion, metastasis, and overall tumor aggressiveness. GAS5 also regulates EMT markers, critical for cancer metastasis, and influences tumor cell proliferation by regulating various signaling components. As a result, GAS5 can be restored to suppress tumor development as a possible therapeutic strategy, which might present promising prospects for a patient's treatment. Its activity levels might also be a crucial indicator and diagnostic parameter for prediction. This review highlights the significant role of GAS5 in modulating apoptosis and tumor aggressiveness in breast cancer, emphasizing its potential as a therapeutic target for breast cancer treatment and management.

Identification of Tumor Budding-Associated Genes in Breast Cancer through Transcriptomic Profiling and Network Diffusion Analysis

Breast cancer has the highest diagnosis rate among all cancers. Tumor budding (TB) is recognized as a recent prognostic marker. Identifying genes specific to high-TB samples is crucial for hindering tumor progression and metastasis. In this study, we utilized an RNA sequencing technique, called TempO-Seq, to profile transcriptomic data from breast cancer samples, aiming to identify biomarkers for high-TB cases. Through differential expression analysis and mutual information, we identified seven genes (NOL4, STAR, C8G, NEIL1, SLC46A3, FRMD6, and SCARF2) that are potential biomarkers in breast cancer. To gain more relevant proteins, further investigation based on a protein-protein interaction network and the network diffusion technique revealed enrichment in the Hippo signaling and Wnt signaling pathways, promoting tumor initiation, invasion, and metastasis in several cancer types. In conclusion, these novel genes, recognized as overexpressed in high-TB samples, along with their associated pathways, offer promising therapeutic targets, thus advancing treatment and diagnosis for breast cancer.

Triple-negative breast cancer survival prediction using artificial intelligence through integrated analysis of tertiary lymphoid structures and tumor budding

BACKGROUND

Triple-negative breast cancer (TNBC) is a highly heterogeneous and clinically aggressive disease. Accumulating evidence indicates that tertiary lymphoid structures (TLSs) and tumor budding (TB) are significantly correlated with the outcomes of patients who have TNBC, but no integrated TLS-TB profile has been established to predict their survival. The objective of this study was to investigate the relationship between the TLS/TB ratio and clinical outcomes of patients with TNBC using artificial intelligence (AI)-based analysis.

METHODS

The infiltration levels of TLSs and TB were evaluated using hematoxylin and eosin staining, immunohistochemistry staining, and AI-based analysis. Various cellular subtypes within TLS were determined by multiplex immunofluorescence. Subsequently, the authors established a nomogram model, conducted calibration curve analyses, and performed decision curve analyses using R software.

RESULTS

In both the training and validation cohorts, the antitumor/protumor model established by the authors demonstrated a positive correlation between the TLS/TB index and the overall survival (OS) and relapse-free survival (RFS) of patients with TNBC. Notably, patients who had a high percentage of CD8-positive T cells, CD45RO-positive T cells, or CD20-positive B cells within the TLSs experienced improved OS and RFS. Furthermore, the authors developed a comprehensive TLS-TB profile nomogram based on the TLS/TB index. This novel model outperformed the classical tumor-lymph node-metastasis staging system in predicting the OS and RFS of patients with TNBC.

CONCLUSIONS

A novel strategy for predicting the prognosis of patients with TNBC was established through integrated AI-based analysis and a machine-learning workflow. The TLS/TB index was identified as an independent prognostic factor for TNBC. This nomogram-based TLS-TB profile would help improve the accuracy of predicting the prognosis of patients who have TNBC.

The Relationship Between Tumor Budding and Patient's Survival in Breast Cancer

Introduction

Breast cancer is a severe life-threatening condition in which many women are involved yearly. One factor that has recently been noticed and investigated as a diagnostic predictor of this type of cancer is the number of tumor buds and the relation of this factor with a patient's survival rate.

Materials and methods

This study includes 150 female patients over 18 years old with a mean age of 53.99 ± 12.56 years old with breast cancer, which was diagnosed at various medical centers, including Rouhani Hospital itself, and referred to Rouhani Hospital Medical Center, Babol, Iran. The number of intratumoral and peritumoral buds in patients' microscopic slides were archived and evaluated along with tumor microenvironment on hematoxylin and eosin (H&E) slides and compared to other clinicopathological findings. This article precisely investigated the relationship between the number of intratumoral and peritumoral buds with patients' 5-year survival rate. Also, the relationship between age, tumor stage, grade, size, the number of lymph nodes involved, and the presence of metastasis with the number of intratumoral and peritumoral buds was studied.

Results and discussion

The result showed a significant statistical association between the number of intratumoral and peritumoral buds with tumor size, tumor stage, presence of metastasis, the number of lymph nodes involved, and 5-year survival rate. On the other hand, there is not a significant statistical association between the number of intratumoral and peritumoral buds with age and tumor grade.

Conclusion

Our investigation revealed a significant statistical relationship between the number of tumor buds and patients' survival rate. So, this factor should be considered significant to help those patients increase their survival ratio.

Prognostic Value of Tumor Budding for Early Breast Cancer

BACKGROUND

Tumor budding (TB) is a dynamic process associated with the epithelial-mesenchymal transition and a well-established prognostic biomarker for colorectal cancer. As part of the tumor microenvironment, tumor buds demonstrate increased cell motility and invasiveness. Current evidence demonstrates that high levels of TB correlate with disease progression and worst outcomes across different solid tumors. Our work aims to demonstrate the clinical applicability of TB analysis and its utility as a prognostic factor for patients with early breast cancer (EBC).

METHODS

Retrospective, single-center, observational study, enrolling patients with EBC diagnosed in a Portuguese hospital between 2014 and 2015. TB classification was performed according to the International Tumor Budding Conference 2016 guidelines.

RESULTS

A statistically significant relation was found between higher TB score and aggressive clinicopathological features (angiolymphatic/perineural invasion-p < 0.001; tumor size-p = 0.012; nuclear grading-p < 0.001; and Ki-67 index-p = 0.011), higher number of relapses (p < 0.001), and short disease-free survival (DFS) (p < 0.001).

CONCLUSION

We demonstrate that high TB correlates with shorter DFS and aggressive clinicopathological features used in daily practice to decide on the benefit of chemotherapy for EBC. TB represents a needed prognostic biomarker for EBC, comprising a new factor to be considered in the adjuvant decision-making process by identifying patients at a high risk of relapse and with higher benefit on treatment intensification. Clinical trials incorporating TB are needed to validate its prognostic impact.

Unveiling the Immune Microenvironment's Role in Breast Cancer: A Glimpse into Promising Frontiers

Breast cancer (BC), one of the most widespread and devastating diseases affecting women worldwide, presents a significant public health challenge. This review explores the emerging frontiers of research focused on deciphering the intricate interplay between BC cells and the immune microenvironment. Understanding the role of the immune system in BC is critical as it holds promise for novel therapeutic approaches and precision medicine strategies. This review delves into the current literature regarding the immune microenvironment's contribution to BC initiation, progression, and metastasis. It examines the complex mechanisms by which BC cells interact with various immune cell populations, including tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs). Furthermore, this review highlights the impact of immune-related factors, such as cytokines and immune checkpoint molecules. Additionally, this comprehensive analysis sheds light on the potential biomarkers associated with the immune response in BC, enabling early diagnosis and prognostic assessment. The therapeutic implications of targeting the immune microenvironment are also explored, encompassing immunotherapeutic strategies and combination therapies to enhance treatment efficacy. The significance of this review lies in its potential to pave the way for novel therapeutic interventions, providing clinicians and researchers with essential knowledge to design targeted and personalized treatment regimens for BC patients.

Tumor budding in invasive breast carcinoma: correlation with clinicopathological parameters, hormone receptor status, and survival: an observational study

OBJECTIVE

Tumor budding is currently thought to be associated with worse prognosis. This study aims to examine tumor budding in invasive ductal-type breast carcinoma and its relationship with other clinicopathological parameters and overall survival.

METHODS

All the H&E slides of 198 patients were re-evaluated for the histological grade, angiolymphatic invasion, perineural invasion, lymph node status, extranodal extension, multicentricity, pT, presence of the tumor budding, tumor budding score (i.e., low, intermediate, or high). Overall survival was considered the period after surgery until death. SPSS was used for statistical analysis.

RESULTS

Tumor budding was identified in 98 (49.5%) patients. Tumor budding score was low in 41 (41.8%) of 98 cases, intermediate in 25 (25.5%), and high in 32 (32.7%). We determined a strong correlation between tumor budding and poor prognostic variables such as tumor size, pT stage, angiolymphatic invasion, perineural invasion, number of metastatic axillary lymph nodes, overall survival, and extranodal tumor extension in metastatic lymph nodes. This strong correlation was also present for the tumor budding score.

CONCLUSION

Tumor budding may be a prognostic indicator for breast cancer.

Tumor Budding and Poor Prognosis in Oral Cancer: A Systematic Review and Meta-Analysis

BACKGROUND

Tumor budding (TB) has been investigated in several types of solid tumors. In oral cancer, studies show its association with survival. However, for its implementation in routine histological analyses, results with a high certainty of evidence are needed. Therefore, the aim of this systematic review is to explore the association between tumor budding and overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS) in oral cancer.

METHODS

A search was performed in Embase, PubMed, Scopus, Livivo, Web of Science, and Google Scholar. We adopted the following inclusion criteria: studies that evaluate tumor budding in oral cancer, that investigate survival, and presenting cohort design. We excluded reviews and studies without hazard-ratio (HR) data.

RESULTS

This systematic review included 22 studies and showed an association between TB and survival. High-grade TB is associated with a worse OS in univariate analysis (HR = 3.11; 95% CI: 2.06-4.69, p<0.01) and multivariate analysis (HR = 2.62; 95% CI: 1.64-4.20, p<0.01); with a poorer DSS in univariate (HR = 2.43; 95% CI: 1.94-3.03, p<0.01) and multivariate analysis (HR = 2.01; 95% CI: 1.43-2.83, p< 0.01); and with a worse DFS in univariate (HR = 1.94; 95% CI: 1.44-2.62, p<0.01) and multivariate analysis (HR = 2.15; 95% CI: 1.31-3.53, p< 0.01). Sensitivity analysis showed that the results are robust, and no significant publication bias was identified in univariate analysis for DFS (Egger's test: p = 0.94). The certainty of the evidence was graded as low or very low.

CONCLUSION

Our findings indicate that TB is an independent prognostic factor of OS, DSS, and DFS in oral cancer. However, further studies are needed to increase the certainty of the evidence.

The Chorioallantoic Membrane Xenograft Assay as a Reliable Model for Investigating the Biology of Breast Cancer

The chorioallantoic membrane (CAM) assay is an alternative in vivo model that allows for minimally invasive research of cancer biology. Using the CAM assay, we investigated phenotypical and functional characteristics (tumor grade, mitosis rate, tumor budding, hormone receptor (HR) and HER2 status, Ki-67 proliferation index) of two breast cancer cell lines, MCF-7 and MDA-MB-231, which resemble the HR+ (luminal) and triple-negative breast cancer (TNBC) subgroups, respectively. Moreover, the CAM results were directly compared with murine MCF-7- and MDA-MB-231-derived xenografts and human patient TNBC tissue. Known phenotypical and biological features of the aggressive triple-negative breast cancer cell line (MDA-MB-231) were confirmed in the CAM assay, and mouse xenografts. Furthermore, the histomorphological and immunohistochemical variables assessed in the CAM model were similar to those in human patient tumor tissue. Given the confirmation of the classical biological and growth properties of breast cancer cell lines in the CAM model, we suggest this in vivo model to be a reliable alternative test system for breast cancer research to reduce murine animal experiments.

A new practical method of estimating tumoral microenvironment parameters of possible prognostic significance in patients with invasive breast carcinoma: Combined microenvironment score

BACKGROUND AND OBJECTIVE

In recent years, the tumor microenvironment has become increasingly recognized as an influential factor in breast cancer development and growth. The parameters that form the microenvironment are the tumor stroma ratio and tumor infiltrating lymphocytes. In addition, tumor budding, which shows the ability of the tumor to metastasize, gives information about the progression of the tumor. In this study, the combined microenvironment score (CMS) was determined with these parameters, and the relationship between CMS and prognostic parameters and survival was evaluated.

MATERIALS AND METHODS

In our study, tumor stroma ratio, tumor infiltrating lymphocytes, and tumor budding were evaluated in hematoxylin-eosin sections of 419 patients with invasive ductal carcinoma. Patients were scored separately for each of these parameters, and these scores were summed to determine the CMS. The patients were divided into 3 groups according to CMS and the relationship between CMS and prognostic parameters and the survival of the patients was studied.

RESULTS

The patients with CMS 3 had higher histological grade and Ki67 proliferation index compared to CMS 1 and 2. Additionally, lymphovascular invasion, axillary lymph node and distant metastasis were more common. Disease-free, and overall survival were significantly shortened in the CMS 3 group. CMS was found as an independent risk factor for DFS (HR: 2.144 (95 % CI: 1.219-3.77) p: 0.008), but not an independent risk factor for OS.

CONCLUSION

CMS is a prognostic parameter that can be easily evaluated and does not require extra time and cost. Evaluating the morphological parameters of the microenvironment with a single scoring system will contribute to routine pathology practice and predict patient prognosis.

ZNF460 mediates epithelial-mesenchymal transition to promote gastric cancer progression by transactivating APOC1 expression

Zinc finger protein 460 (ZNF460) is closely related to the progression of a variety of human cancers. However, the biological role of ZNF460 in gastric cancer remains fully unrevealed. This study aimed to investigate the role and potential mechanism of ZNF460 in gastric cancer. In this study, we discovered a significant up-regulation of ZNF460 in gastric cancer and that ZNF460 expression correlated with tumor grade, lymph node metastasis, and H. pylon infection in gastric cancer through UALCAN database. Functionally, Diminished ZNF460 expression inhibited gastric cancer cell proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT) in vitro and suppressed tumor growth in vivo. Mechanistically, ZNF460 combined with apolipoprotein C1 (APOC1) promoter to facilitate APOC1 transcription, and accelerated EMT, thereby promoting the progression of gastric cancer. In conclusion, our study confirmed that ZNF460 promotes gastric cancer progression, which might serve as a novel target for gastric cancer treatment.

Prognostic and immune microenvironment analysis of cuproptosis-related LncRNAs in breast cancer

Breast cancer is the most common tumor and the leading cause of cancer death in women. Cuproptosis is a new type of cell death, which can induce proteotoxic stress and eventually lead to cell death. Therefore, regulating copper metabolism in tumor cells is a new therapeutic approach. Long non-coding RNAs play an important regulatory role in immune response. At present, cuproptosis-related lncRNAs in breast cancer have not been reported. Breast cancer RNA sequencing, genomic mutations, and clinical data were downloaded from The Cancer Genome Atlas (TCGA). Patients with breast cancer were randomly assigned to the train group or the test group. Co-expression network analysis, Cox regression method, and least absolute shrinkage and selection operator (LASSO) method were used to identify cuproptosis-related lncRNAs and to construct a risk prognostic model. The prediction performance of the model is verified and recognized. In addition, the nomogram was used to predict the prognosis of breast cancer patients. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and immunoassay were used to detect the differences in biological function. Tumor mutation burden (TMB) was used to measure immunotherapy response. A total of 19 cuproptosis genes were obtained and a prognostic model based on 10 cuproptosis-related lncRNAs was constructed. Kaplan-Meier survival curves showed statistically significant overall survival (OS) between the high-risk and low-risk groups. Receiver operating characteristic curve (ROC) and principal component analysis (PCA) show that the model has accurate prediction ability. Compared with other clinical features, cuproptosis-related lncRNAs model has higher diagnostic efficiency. Univariate and multivariate Cox regression analysis showed that risk score was an independent prognostic factor for breast cancer patients. In addition, the nomogram model analysis showed that the tumor mutation burden was significantly different between the high-risk and low-risk groups. Of note, the additive effect of patients in the high-risk group and patients with high TMB resulted in reduced survival in breast cancer patients. Our study identified 10 cuproptosis-related lncRNAs, which may be promising biomarkers for predicting the survival prognosis of breast cancer.

Dual-Drug Conjugated Glyco-Nanoassemblies for Tumor-Triggered Targeting and Synergistic Cancer Therapy

Drug-conjugated nanoassemblies potentiate the efficiency of anticancer drugs through the advantages of high drug-loading capacity and passive/active targeting ability in cancer therapy. This study describes the synthesis of gemcitabine (Gem) and cisplatin (cisPt) dual-drug-functionalized glyco-nanoassemblies (GNs) for anticancer drug delivery systems. It also investigates the pH-triggered drug delivery of the conventional anticancer drug cisPt. A Gem-functionalized well-defined glycoblock copolymer backbone (P(iprFruMA-b-MAc)-Gem), which consists of fructose and methacrylic acid segments, was synthesized via a reversible addition-fragmentation chain transfer (RAFT) polymerization method. Following the hydrolysis of the protecting groups on the backbone copolymer, cisPt functionalization of P(FruMA-b-MAc)-Gem in aqueous media was carried out during the transformation of glycoblock polymers into self-assembled spherical glyco-nanoassemblies (GN3). Monodrug-functionalized glyco-nanoassemblies were also prepared either with Gem (GN1) or cisPt (GN2) to compare the synergetic effect of dual-drug conjugated glyco-nanoassemblies (GN3). The sizes of glyco-nanoassemblies GN1, GN2, and GN3 were found as 5.76 ± 0.64, 59.80 ± 0.13, and 53.80 ± 3.90 nm and dispersity (Đ) values as 0.476, 0.292, and 0.311 by dynamic light scattering (DLS) measurement, respectively. The in vitro studies revealed that the drug-free glyco-nanoassemblies are biocompatible at concentrations higher than 296 μg/mL. The drug-conjugated glyco-nanoassemblies (GN1 and GN2) exhibited in vitro cytotoxicity against human breast cancer cell lines of MDA-MB-231 comparable to free Gem and cisPt, illustrating an efficient drug release into the tumor environment. Additionally, GNs exhibited higher selectivity and preferential cellular internalization in MDA-MB-231 when compared to healthy cell lines of CCD-1079Sk. These dual-drug conjugated GNs can effectively enhance the killing of cancer cells and increase synergistic chemotherapy.