mTOR modulates resistance to gemcitabine in lung cancer in an MTORC2 dependent mechanism

Unravelling key signaling pathways for the therapeutic targeting of non-small cell lung cancer

Lung cancer (LC) remains the foremost cause of cancer-related mortality across the globe. Non-small cell lung cancer (NSCLC) is a type of LC that exhibits significant heterogeneity at histological and molecular levels. Genetic alterations in upstream signaling molecules activate cascades affecting apoptosis, proliferation, and differentiation. Disruption of these signaling pathways leads to the proliferation of cancer-promoting cells, progression of cancer, and resistance to its treatment. Recent insights into the function of signaling pathways and their fundamental mechanisms in the onset of various diseases could pave the way for new therapeutic approaches. Recently, numerous drug molecules have been created that target these cell signaling pathways and could be used alongside other standard therapies to achieve synergistic effects in mitigating the pathophysiology of NSCLC. Additionally, many researchers have identified several predictive biomarkers, and alterations in transcription factors and related pathways are employed to create new therapeutic strategies for NSCLC. Findings suggest using specific inhibitors to target cellular signaling pathways in tumor progression to treat NSCLC. This review investigates the role of signaling pathways in NSCLC development and explores novel therapeutic strategies to enhance clinical treatment options for NSCLC.

The CXCL8-CXCR2 axis promotes M2 macrophage polarization in ovarian cancer via RASGRP4-mediated mTOR-STAT3 signaling

This study aimed to investigate whether CXCL8-CXCR2 axis in regulating M2 macrophage polarization via RASGRP4 related signaling in ovarian cancer. Data from The Cancer Genome Atlas (TCGA) database was used to assess the correlation between CXCR2 expression and M2 macrophage infiltration. THP-1 human monocytic cells were utilized to analyze the effects of CXCL8 on RASGRP4 expression and M2 polarization. In vivo experiments were conducted using xenograft models to evaluate the impact of CXCL8 and RASGRP4 on tumor growth and macrophage polarization. Among the CXCR2 co-expressed genes, RASGRP4 showed the highest positive correlation with M2 macrophage infiltration in ovarian cancer. Higher expression of RASGRP4 is associated with poorer progression-free survival in patients with serous ovarian cancer. CXCR2 knockdown or inhibition (using SB225002) reduced IL-8-induced upregulation of RASGRP4 mRNA and protein in THP-1 cells. Additionally, PLCβ2 silencing attenuated IL-8-induced RASGRP4 expression. Knockdown of RASGRP4 in THP-1 cells reduced M2 polarization, while overexpression restored it. The CXCL8-CXCR2 axis further enhances M2 polarization through RASGRP4-mediated mTOR-STAT3 signaling. In xenograft ovarian tumor models, knockdown of CXCL8, CXCR2, or RASGRP4 reduced tumor growth and M2 macrophage infiltration. In summary, the CXCL8-CXCR2 axis promotes M2 macrophage polarization via RASGRP4-mediated mTOR-STAT3 signaling in ovarian cancer. Targeting this pathway may be a promising therapeutic strategy to reprogram tumor-associated macrophages and enhance treatment efficacy.

Development of m6A/m5C/m1A regulated lncRNA signature for prognostic prediction, personalized immune intervention and drug selection in LUAD

Research indicates that there are links between m6A, m5C and m1A modifications and the development of different types of tumours. However, it is not yet clear if these modifications are involved in the prognosis of LUAD. The TCGA-LUAD dataset was used as for signature training, while the validation cohort was created by amalgamating publicly accessible GEO datasets including GSE29013, GSE30219, GSE31210, GSE37745 and GSE50081. The study focused on 33 genes that are regulated by m6A, m5C or m1A (mRG), which were used to form mRGs clusters and clusters of mRG differentially expressed genes clusters (mRG-DEG clusters). Our subsequent LASSO regression analysis trained the signature of m6A/m5C/m1A-related lncRNA (mRLncSig) using lncRNAs that exhibited differential expression among mRG-DEG clusters and had prognostic value. The model's accuracy underwent validation via Kaplan-Meier analysis, Cox regression, ROC analysis, tAUC evaluation, PCA examination and nomogram predictor validation. In evaluating the immunotherapeutic potential of the signature, we employed multiple bioinformatics algorithms and concepts through various analyses. These included seven newly developed immunoinformatic algorithms, as well as evaluations of TMB, TIDE and immune checkpoints. Additionally, we identified and validated promising agents that target the high-risk mRLncSig in LUAD. To validate the real-world expression pattern of mRLncSig, real-time PCR was carried out on human LUAD tissues. The signature's ability to perform in pan-cancer settings was also evaluated. The study created a 10-lncRNA signature, mRLncSig, which was validated to have prognostic power in the validation cohort. Real-time PCR was applied to verify the actual manifestation of each gene in the signature in the real world. Our immunotherapy analysis revealed an association between mRLncSig and immune status. mRLncSig was found to be closely linked to several checkpoints, such as IL10, IL2, CD40LG, SELP, BTLA and CD28, which could be appropriate immunotherapy targets for LUAD. Among the high-risk patients, our study identified 12 candidate drugs and verified gemcitabine as the most significant one that could target our signature and be effective in treating LUAD. Additionally, we discovered that some of the lncRNAs in mRLncSig could play a crucial role in certain cancer types, and thus, may require further attention in future studies. According to the findings of this study, the use of mRLncSig has the potential to aid in forecasting the prognosis of LUAD and could serve as a potential target for immunotherapy. Moreover, our signature may assist in identifying targets and therapeutic agents more effectively.

Marine-Derived Streptomyces sennicomposti GMY01 with Anti-Plasmodial and Anticancer Activities: Genome Analysis, In Vitro Bioassay, Metabolite Profiling, and Molecular Docking

To discover novel antimalarial and anticancer compounds, we carried out a genome analysis, bioassay, metabolite profiling, and molecular docking of marine sediment actinobacteria strain GMY01. The whole-genome sequence analysis revealed that Streptomyces sp. GMY01 (7.9 Mbp) is most similar to Streptomyces sennicomposti strain RCPT1-4T with an average nucleotide identity (ANI) and ANI based on BLAST+ (ANIb) values of 98.09 and 97.33% (>95%). An in vitro bioassay of the GMY01 bioactive on Plasmodium falciparum FCR3, cervical carcinoma of HeLa cell and lung carcinoma of HTB cells exhibited moderate activity (IC50 value of 46.06; 27.31 and 33.75 µg/mL) with low toxicity on Vero cells as a normal cell (IC50 value of 823.3 µg/mL). Metabolite profiling by LC-MS/MS analysis revealed that the active fraction of GMY01 contained carbohydrate-based compounds, C17H29NO14 (471.15880 Da) as a major compound (97.50%) and mannotriose (C18H32O16; 504.16903 Da, 1.96%) as a minor compound. Molecular docking analysis showed that mannotriose has a binding affinity on glutathione reductase (GR) and glutathione-S-transferase (GST) of P. falciparum and on autophagy proteins (mTORC1 and mTORC2) of cancer cells. Streptomyces sennicomposti GMY01 is a potential bacterium producing carbohydrate-based bioactive compounds with anti-plasmodial and anticancer activities and with low toxicity to normal cells.

ERAP2 as a potential biomarker for predicting gemcitabine response in patients with pancreatic cancer

Objective: Pancreatic cancer is one of the most malignant tumors, with rapid metastasis, high mortality rate, and difficult early screening. Currently, gemcitabine is a first-line drug for pancreatic cancer patients, but its clinical effect is limited due to drug resistance. It is particularly important to further identify biomarkers associated with gemcitabine resistance to improve the sensitivity of gemcitabine treatment.

Methods: Drug sensitivity data and the corresponding transcript data derived from the Genomics of Drug Sensitivity in Cancer (GDSC) database for correlation analysis was adopted to obtain genes related to gemcitabine sensitivity. Moreover, the survival model of pancreatic cancer patients treated with gemcitabine in The Cancer Genome Atlas (TCGA) database was utilized to obtain key genes. Multiple in vitro assays were performed to verify the function of the key biomarker.

Results: Endoplasmic Reticulum Aminopeptidase 2 (ERAP2) was identified as a biomarker promoting gemcitabine resistance, and its high expression resulted in a worse prognosis. Besides, gemcitabine significantly increased the mRNA and protein levels of ERAP2 in pancreatic cancer cells. Additionally, ERAP2 knockdown suppressed tumorigenesis and potentiated gemcitabine-induced growth, migration and invasion inhibition in human pancreatic cancer cells.

Conclusions: ERAP2 may be a novel key biomarker for gemcitabine sensitivity and diagnosis, thus providing an effective therapeutic strategy for pancreatic cancer treatment.

Deciphering the enigmatic crosstalk between prostate cancer and Alzheimer's disease: A current update on molecular mechanisms and combination therapy

Alzheimer's disease (AD) and prostate cancer (PCa) are considered the leading causes of death in elderly people worldwide. Although both these diseases have striking differences in their pathologies, a few underlying mechanisms are similar when cell survival is considered. In the current study, we employed an in-silico approach to decipher the possible role of bacterial proteins in the initiation and progression of AD and PCa. We further analyzed the molecular connections between these two life-threatening diseases. The androgen deprivation therapy used against PCa has been shown to promote castrate resistant PCa as well as AD. In addition, cell signaling pathways, such as Akt, IGF, and Wnt contribute to the progression of both AD and PCa. Besides, various proteins and genes are also common in disease progression. One such similarity is mTOR signaling. mTOR is the common downstream target for many signaling pathways and plays a vital role in both PCa and AD. Targeting mTOR can be a favorable line of treatment for both AD and PCa. However, drug resistance is one of the challenges in effective drug therapy. A few drugs that target mTOR have now become ineffective due to the development of resistance. In that regard, phytochemicals can be a rich source of novel drug candidates as they can act via multiple mechanisms. This review also presents mTOR targeting phytochemicals with promising anti-PCa, anti-AD activities, and approaches to overcome the issues associated with phytochemical-based therapies in clinical trials.