Despite the tremendous progress of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) development, acquired resistance mechanisms have limited their efficacy in treating non-small cell lung cancer (NSCLC). To overcome these limitations, novel EGFR-TKIs are needed. In our previous study, we presented ZZC4 as a potent EGFR-TKI. In this study, we developed NSCLC cells resistant to EGFR-TKI gefitinib and osimertinib and assessed the effect and mechanism of action of ZZC4 on those cells. HCC827 cells were cultured with gefitinib in a concentration-escalation manner to achieve HCC827 gefitinib-resistant (HCC827-GR) cells after 6 months of treatment. Then, the effect of ZZC4 was assessed at the cellular and animal levels. To understand ZZC4's mechanism of action, the proteome alteration induced by ZZC4 on the resistant cell line was compared to the parental HCC827 cells using comparative proteomics. The result showed that gefitinib's IC50 on HCC827 was 533 nM, approximately 80 times its IC50 on normal cells (7.6 nM), confirming its resistance to HCC827 cells. The obtained resistant cells were treated with ZZC4, which potently suppressed the resistant cells' proliferation with an IC50 of 0.1 nM. In tumor-bearing mice, ZZC4 also suppressed the growth of HCC827-GR cell tumors with an inhibition ratio of 82 % at ZZC4 4 mg/kg. Further, the proteomic analysis revealed that ZZC4 inhibited HCC827-GR cell growth by upregulating CDKN1B and downregulating CCNA2 and CHEK1. In conclusion, ZZC4 overcomes resistance to gefitinib by altering the cell cycle pathway.

Colorectal cancer (CRC) is a prevalent malignant tumor characterized by a high mortality rate, with significant challenges persisting in the identification and management of its metastatic stage. The role of checkpoint kinase 1 (CHEK1), a cell cycle checkpoint kinase, in CRC has not been fully clarified. We hypothesize that the upregulation of CHEK1 may enhance the proliferation of CRC cells, indicating its potential as a novel therapeutic target for CRC therapy.

To investigate the expression and function of CHEK1 in CRC, this study utilizes single-cell RNA sequencing and tissue microarray data.

Single-cell RNA sequencing technology was employed to analyze CRC cells from the GSE144735 dataset, and immunohistochemistry was conducted to confirm the expression of CHEK1 in CRC and adjacent tissues. We also integrated mRNA expression data from multiple public databases to assess global CHEK1 expression in CRC. Molecular docking experiments were performed to explore the interaction between CHEK1 and the potential drug nitidine chloride (NC), as well as to investigate the influence of CHEK1 on CRC cell proliferation.

We found comparatively elevated CHEK1 expression in the malignant epithelial cells of CRC, with marked upregulation of its mRNA levels in CRC tissues. Immunohistochemical analysis further confirmed the high expression of CHEK1 in CRC tissues, and the receiver operating characteristic curve demonstrated high accuracy (area under the curve = 0.964) for CHEK1 as a biomarker. Analysis of global datasets indicated a statistically significant overexpression of CHEK1 in CRC (standard mean difference = 1.81, P < 0.01), with summary receiver operating characteristic analysis yielding sensitivity and specificity values of 0.83 and 0.88, respectively. Molecular docking studies indicated that NC specifically targeted CHEK1, while clustered regularly interspaced short palindromic repeats knockout experiments demonstrated that CHEK1 promoted CRC cell proliferation.

Upregulation of CHEK1 promotes CRC cell proliferation. However, the dataset's diversity is limited, requiring further investigation into its specific mechanisms.

The complex interplay of epigenetic factors is essential in regulating the hallmarks of cancer and orchestrating intricate molecular interactions during tumor progression. Circular RNAs (circRNAs), known for their covalently closed loop structures, are non-coding RNA molecules exceptionally resistant to enzymatic degradation, which enhances their stability and regulatory functions in cancer. Similarly, microRNAs (miRNAs) are endogenous non-coding RNAs with linear structures that regulate cellular biological processes akin to circRNAs. Both miRNAs and circRNAs exhibit aberrant expressions in various cancers. Notably, circRNAs can function as sponges for miRNAs, influencing their activity. The circRNA/miRNA interaction plays a pivotal role in the regulation of cancer progression, including in brain, gastrointestinal, gynecological, and urological cancers, influencing key processes such as proliferation, apoptosis, invasion, autophagy, epithelial-mesenchymal transition (EMT), and more. Additionally, this interaction impacts the response of tumor cells to radiotherapy and chemotherapy and contributes to immune evasion, a significant challenge in cancer therapy. Both circRNAs and miRNAs hold potential as biomarkers for cancer prognosis and diagnosis. In this review, we delve into the circRNA-miRNA circuit within human cancers, emphasizing their role in regulating cancer hallmarks and treatment responses. This discussion aims to provide insights for future research to better understand their functions and potentially guide targeted treatments for cancer patients using circRNA/miRNA-based strategies.

Viruses are widely recognized to be intricately associated with both solid and hematological malignancies in humans. The primary goal of this research is to elucidate the interplay of genes between SARS-CoV-2 infection and lung adenocarcinoma (LUAD), with a preliminary investigation into their clinical significance and underlying molecular mechanisms. Transcriptome data for SARS-CoV-2 infection and LUAD were sourced from public databases. Differentially expressed genes (DEGs) associated with SARS-CoV-2 infection were identified and subsequently overlapped with TCGA-LUAD DEGs to discern the crosstalk genes (CGs). In addition, CGs pertaining to both diseases were further refined using LUAD TCGA and GEO datasets. Univariate Cox regression was conducted to identify genes associated with LUAD prognosis, and these genes were subsequently incorporated into the construction of a prognosis signature using 10 different machine learning algorithms. Additional investigations, including tumor mutation burden assessment, TME landscape, immunotherapy response assessment, as well as analysis of sensitivity to antitumor drugs, were also undertaken. We discovered the risk stratification based on the prognostic signature revealed that the low-risk group demonstrated superior clinical outcomes (p < 0.001). Gene set enrichment analysis results predominantly exhibited enrichment in pathways related to cell cycle. Our analyses also indicated that the low-risk group displayed elevated levels of infiltration by immunocytes (p < 0.001) and superior immunotherapy response (p < 0.001). In our study, we reveal a close association between CGs and the immune microenvironment of LUAD. This provides preliminary insight for further exploring the mechanism and interaction between the two diseases.

LC is one of the most common malignant tumours that often presents with no distinct symptoms in the early stages, leading to late diagnoses when patients are at an advanced stage and no longer suitable for surgical treatment. Although adjuvant treatments are available, patients frequently develop tolerance to these treatments over time, resulting in poor prognoses for patients with advanced LC. Recently, circular RNAs (circRNAs), a type of non-coding RNA, have gained significant attention in LC research. Owing to their unique circular structure, circRNAs are highly stable within cells. This review systematically summarises the expression, characteristics, biological functions, and molecular regulatory mechanisms of circRNAs involved in therapy resistance as well as the potential applications in early diagnosis and gene targeting therapy in LC.

Paclitaxel (PTX) is a commonly used as a chemotherapeutic drug for non-small cell lung cancer (NSCLC). Exploring the underlying mechanism of PTX resistance is of great significance for NSCLC treatment.

The expression levels of RNA and protein were detected by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blot assays. The targeted relationship was confirmed by dual-luciferase reporter assay and RNA-pull down assay. The PTX resistance and cell proliferation were assessed by cell counting kit-8 (CCK-8) assay and 5-Ethynyl-2'-deoxyuridine (EDU) assay, respectively. Cell migration and invasion were analyzed by transwell assays. Cell apoptosis was analyzed by flow cytometry, and cell glycolysis was analyzed using the commercial kits. The role of circular RNA_0076305 (circ_0076305) in regulating the PTX sensitivity in vivo was explored in xenograft tumor model.

Circ_0076305 was up-regulated in PTX-resistant NSCLC tissues and cells. Mechanically, circ_0076305 bound to microRNA-936 (miR-936), and miR-936 targeted transmembrane serine protease 4 (TMPRSS4). Circ_0076305 could up-regulate TMPRSS4 expression by sponging miR-936 in NSCLC cells. miR-936 knockdown or TMPRSS4 overexpression reversed the anti-tumor effects of circ_0076305 knockdown in NSCLC cells with PTX treatment. Circ_0076305 silencing increased the PTX sensitivity of xenograft tumors in vivo.

Circ_0076305 silencing promoted PTX sensitivity by targeting miR-936/TMPRSS4 axis in NSCLC cells.

Globally, lung cancer contributes significantly to the public health burden-associated mortality. As this form of cancer is insidious in nature, there is an inevitable diagnostic delay leading to chronic tumor development. Non-small cell lung cancer (NSCLC) constitutes 80-85% of all lung cancer cases, making this neoplasia form a prevalent subset of lung carcinoma. One of the most vital aspects for proper diagnosis, prognosis, and adequate therapy is the precise classification of non-small cell lung cancer based on biomarker expression profiling. This form of biomarker profiling has provided opportunities for improvements in patient stratification, mechanistic insights, and probable druggable targets. However, numerous patients have exhibited numerous toxic side effects, tumor relapse, and development of therapy-based chemoresistance. As a result of these exacting situations, there is a dire need for efficient and effective new cancer therapeutics. De novo drug development approach is a costly and tedious endeavor, with an increased attrition rate, attributed, in part, to toxicity-related issues. Drug repurposing, on the other hand, when combined with computer-assisted systems biology approach, provides alternatives to the discovery of new, efficacious, and safe drugs. Therefore, in this review, we focus on a comparison of the conventional therapy-based chemoresistance mechanisms with the repurposed anti-cancer drugs from three different classes-anti-parasitic, anti-depressants, and anti-psychotics for cancer treatment with a primary focus on NSCLC therapeutics. Certainly, amalgamating these novel therapeutic approaches with that of the conventional drug regimen in NSCLC-affected patients will possibly complement/synergize the existing therapeutic modalities. This approach has tremendous translational significance, since it can combat drug resistance and cytotoxicity-based side effects and provides a relatively new strategy for possible application in therapy of individuals with NSCLC.

Circular RNAs (circRNAs) have been recognized as significant regulators of pulmonary hypertension (PH); however, the differential expression and function of circRNAs in different vascular cells under hypoxia remain unknown. Here, we identified co-differentially expressed circRNAs and determined their putative roles in the proliferation of pulmonary artery smooth muscle cells (PASMCs), pulmonary microvascular endothelial cells (PMECs), and pericytes (PCs) under hypoxia.

Whole transcriptome sequencing was performed to analyze the differential expression of circRNAs in three different vascular cell types. Bioinformatic analysis was used to predict their putative biological function. Quantitative real-time polymerase chain reaction, Cell Counting Kit-8, and EdU Cell Proliferation assays were carried out to determine the role of circular postmeiotic segregation 1 (circPMS1) as well as its potential sponge mechanism in PASMCs, PMECs, and PCs.

PASMCs, PMECs, and PCs exhibited 16, 99, and 31 differentially expressed circRNAs under hypoxia, respectively. CircPMS1 was upregulated in PASMCs, PMECs, and PCs under hypoxia and enhanced the proliferation of vascular cells. CircPMS1 may upregulate DEP domain containing 1 (DEPDC1) and RNA polymerase II subunit D expression by targeting microRNA-432-5p (miR-432-5p) in PASMCs, upregulate MAX interactor 1 (MXI1) expression by targeting miR-433-3p in PMECs, and upregulate zinc finger AN1-type containing 5 (ZFAND5) expression by targeting miR-3613-5p in PCs.

Our results suggest that circPMS1 promotes cell proliferation through the miR-432-5p/DEPDC1 or miR-432-5p/POL2D axis in PASMCs, through the miR-433-3p/MXI1 axis in PMECs, and through the miR-3613-5p/ZFAND5 axis in PCs, which provides putative targets for the early diagnosis and treatment of PH.

Owing to the subtlety of initial symptoms associated with gastric cancer (GC), the majority of patients are diagnosed at later stages. Given the absence of reliable diagnostic markers, it is imperative to identify novel markers that exhibit high sensitivity and specificity. Circular RNA, a non-coding RNA, plays an important role in tumorigenesis and development and is well expressed in body fluids.

In this study, we aimed to identify hsa_circ_0000231 as a new biomarker for the diagnosis of GC and to assess its clinical diagnostic value in serum.

The stability and correctness of hsa_circ_0000231 was determined by agarose gel electrophoresis, Rnase R assay and Sanger sequencing. Real-time quantitative polymerase chain reaction (qRT-PCR) was designed to discover the expression level of hsa_circ_0000231 and whether it has dynamic serum monitoring capability. The correlation between hsa_circ_0000231 and clinicopathological parameters was analyzed by collecting clinical and pathological data from GC patients. In addition, diagnostic efficacy was assessed by constructing receiver operating characteristic curves (ROC). Hsa_circ_0000231 exhibits a stable and consistently expressed structure. In GC serum, cells, and tissues, it demonstrates reduced expression levels. Elevated expression levels observed postoperatively suggest its potential for dynamic monitoring. Additionally its expression level correlates with TNM staging and neuro/vascular differentiation. The area under ROC curve (AUC) for hsa_circ_0000231 is 0.781, indicating its superior diagnostic value compared to CEA, CA19-9, and CA72-4. The combination of these four indicators enhances diagnostic accuracy, with an AUC of 0.833.

The stable expression of hsa_circ_0000231 in the serum of gastric cancer patients holds promise as a novel biomarker for both the diagnosis and dynamic monitoring of GC.

Lung cancer stands as the most prevalent form of cancer globally, posing a significant threat to human well-being. Due to the lack of effective and accurate early diagnostic methods, many patients are diagnosed with advanced lung cancer. Although surgical resection is still a potential means of eradicating lung cancer, patients with advanced lung cancer usually miss the best chance for surgical treatment, and even after surgical resection patients may still experience tumor recurrence. Additionally, chemotherapy, the mainstay of treatment for patients with advanced lung cancer, has the potential to be chemo-resistant, resulting in poor clinical outcomes. The emergence of liquid biopsies has garnered considerable attention owing to their noninvasive nature and the ability for continuous sampling. Technological advancements have propelled circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), extracellular vesicles (EVs), tumor metabolites, tumor-educated platelets (TEPs), and tumor-associated antigens (TAA) to the forefront as key liquid biopsy biomarkers, demonstrating intriguing and encouraging results for early diagnosis and prognostic evaluation of lung cancer. This review provides an overview of molecular biomarkers and assays utilized in liquid biopsies for lung cancer, encompassing CTCs, ctDNA, non-coding RNA (ncRNA), EVs, tumor metabolites, TAAs and TEPs. Furthermore, we expound on the practical applications of liquid biopsies, including early diagnosis, treatment response monitoring, prognostic evaluation, and recurrence monitoring in the context of lung cancer.

Lung cancer as the leading cause of cancer related mortality is always one of the main global health challenges. Despite the recent progresses in therapeutic methods, the mortality rate is still significantly high among lung cancer patients. A wide range of therapeutic methods including chemotherapy, radiotherapy, and surgery are used to treat lung cancer. Doxorubicin (DOX) and Paclitaxel (TXL) are widely used as the first-line chemotherapeutic drugs in lung cancer. However, there is a significant high percentage of DOX/TXL resistance in lung cancer patients, which leads to tumor recurrence and metastasis. Considering, the side effects of these drugs in normal tissues, it is required to clarify the molecular mechanisms of DOX/TXL resistance to introduce the efficient prognostic and therapeutic markers in lung cancer. MicroRNAs (miRNAs) have key roles in regulation of different pathophysiological processes including cell division, apoptosis, migration, and drug resistance. MiRNA deregulations are widely associated with chemo resistance in various cancers. Therefore, considering the importance of miRNAs in chemotherapy response, in the present review, we discussed the role of miRNAs in regulation of DOX/TXL response in lung cancer patients. It has been reported that miRNAs mainly induced DOX/TXL sensitivity in lung tumor cells by the regulation of signaling pathways, autophagy, transcription factors, and apoptosis. This review can be an effective step in introducing miRNAs as the non-invasive prognostic markers to predict DOX/TXL response in lung cancer patients.

Circular RNAs (circRNAs) have been shown to have critical roles in developing cancer and treatment resistance in an increasing body of research. The aim was to look into the functions and processes of hsa_circ_0003220 in the non-small cell lung cancer (NSCLC) chemoresistance. The NSCLC cell lines H460 and A549 were employed in present work. hsa_circ_0003220, miR-489-3p, and insulin-like growth factors (IGF1) mRNA levels were assessed with a quantitative real time polymerase chain reaction (qRT-PCR). The cisplatin, docetaxel, and paclitaxel (PTX) resistances were determined using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay, and the enzyme linked immunosorbent assay (ELISA) test measured IGF1 expression. In order to corroborate the miR-489-3p relation with hsa_circ_0003220 or IGF1, a dual-luciferase reporter method was applied. The level of hsa_circ_0003220 was raised in cells and tissues from PTX-resistant (PR) NSCLC. In PR NSCLC cells, hsa_circ_0003220 knockdown reduced chemoresistance. For the purpose of the mechanism study, hsa_circ_0003220 knockdown substantially reduced IGF1 expression via miR-489-3p sponging, reducing chemoresistance in PR NSCLC cells. By controlling the miR-489-3p/IGF1 axis, hsa_circ_0003220 knockdown helped NSCLC overcome chemoresistance, suggesting a potential circRNA-targeted therapy for the disease.

This study probes the mechanism of the PARP9/PI3K/AKT/PD-L1 axis in the chemoresistance and immune escape of breast cancer cells.

The expression of related genes was detected in MCF-7/FUL cells. After MCF-7/FUL cells were treated with sh-PARP9 and/or the PI3K/AKT pathway activator, drug resistance, proliferation, migration, invasion, and apoptosis were measured. Afterward, MCF-7/FUL cells were co-cultured with CD8+ T cells to examine the positive rate and density of MCF-7/FUL cells, the percentage and apoptosis of CD8+ T cells, and the expression of immune-related factors in cell supernatants. Nude mice were subcutaneously injected with sh-PARP9-transfected MCF-7/FUL cells for in vivo validation.

PARP9 was highly expressed in MCF-7/FUL cells. Sh-PARP9 transfection suppressed cell migration, proliferation, and invasion while accelerating apoptosis in MCF-7/FUL cells, accompanied by downregulated PD-L1, p-PI3K, and p-AKT expression, and reduced IC50 and FUL resistance. After co-culture of MCF-7/FUL cells with CD8+ T cells, the percentage of CD8+ T cells, the expression of immune-related factors in supernatants, and the positive rate of MCF-7/FUL cells increased, while the apoptosis of CD8+ T cells and the density of adherent MCF-7/FUL cells were diminished. These trends were negated by further activating the PI3K/AKT pathway. PARP9 knockdown suppressed xenograft growth, decreased p-PI3K, p-AKT, PD-L1, and cyclin D1 expression, and augmented p-Cdc2 and cleaved caspase 3 levels in nude mice.

PARP9 knockdown blocked the PI3K/AKT pathway to downregulate PD-L1, thus depressing chemoresistance and immune escape in breast cancer.