Stress granules in colorectal cancer: Current knowledge and potential therapeutic applications

A bivalent inhibitor against TDRD3 to suppress phase separation of methylated G3BP1

The formation of membrane-less organelles is driven by multivalent weak interactions while mediation of such interactions by small molecules remains an unparalleled challenge. Here, we uncovered a bivalent inhibitor that blocked the recruitment of TDRD3 by the two methylated arginines of G3BP1. Relative to the monovalent inhibitor, this bivalent inhibitor demonstrated an enhanced binding affinity to TDRD3 and capability to suppress the phase separation of methylated G3BP1, TDRD3, and RNAs, and in turn inhibit the stress granule growth in cells. Our result paves a new path to mediate multivalent interactions involved in SG assembly for potential combinational chemotherapy by bivalent inhibitors.

Stress granules and hormetic adaptation of cancer

Cell stress is inherent to cancer and a key driver of tumorigenesis. Recent studies have proposed that cell stress promotes tumorigenesis through non-membranous organelles known as stress granules (SGs). While the biology of SGs is an emerging field, all studies to date point to the enhanced ability of cancer cells to form SGs compared with normal cells, a heightened dependence on SGs for survival under adverse conditions and for chemotherapy resistance, and the dependence of tumors on SGs for growth. Why cancer cells become dependent on SGs and how SGs promote tumorigenesis remain to be elucidated. Here, we attempt to provide a framework for answering these questions by framing SGs as a hormetic response to tumor-associated stress stimuli.

Role of stress granules in tumorigenesis and cancer therapy

Stress granules (SGs) are membrane-less organelles that cell forms via liquid-liquid phase separation (LLPS) under stress conditions such as oxidative stress, ER stress, heat shock and hypoxia. SG assembly is a stress-responsive mechanism by regulating gene expression and cellular signaling pathways. Cancer cells face various stress conditions in tumor microenvironment during tumorigenesis, while SGs contribute to hallmarks of cancer including proliferation, invasion, migration, avoiding apoptosis, metabolism reprogramming and immune evasion. Here, we review the connection between SGs and cancer development, the limitation of SGs on current cancer therapy and promising cancer therapeutic strategies targeting SGs in the future.

Stress granules: functions and mechanisms in cancer

Stress granules (SGs) are non-enveloped structures formed primarily via protein and RNA aggregation under various stress conditions, including hypoxia and viral infection, as well as oxidative, osmotic, and heat-shock stress. SGs assembly is a highly conserved cellular strategy to reduce stress-related damage and promote cell survival. At present, the composition and dynamics of SGs are well understood; however, data on the functions and related mechanisms of SGs are limited. In recent years, SGs have continued to attract attention as emerging players in cancer research. Intriguingly, SGs regulate the biological behavior of tumors by participating in various tumor-associated signaling pathways, including cell proliferation, apoptosis, invasion and metastasis, chemotherapy resistance, radiotherapy resistance, and immune escape. This review discusses the roles and mechanisms of SGs in tumors and suggests novel directions for cancer treatment.

Deep learning-based morphological feature analysis and the prognostic association study in colon adenocarcinoma histopathological images

Colorectal cancer (CRC) is now the third most common malignancy to cause mortality worldwide, and its prognosis is of great importance. Recent CRC prognostic prediction studies mainly focused on biomarkers, radiometric images, and end-to-end deep learning methods, while only a few works paid attention to exploring the relationship between the quantitative morphological features of patients' tissue slides and their prognosis. However, existing few works in this area suffered from the drawback of choosing the cells randomly from the whole slides, which contain the non-tumor region that lakes information about prognosis. In addition, the existing works, which tried to demonstrate their biological interpretability using patients' transcriptome data, failed to show the biological meaning closely related to cancer. In this study, we proposed and evaluated a prognostic model using morphological features of cells in the tumor region. The features were first extracted by the software CellProfiler from the tumor region selected by Eff-Unet deep learning model. Features from different regions were then averaged for each patient as their representative, and the Lasso-Cox model was used to select the prognosis-related features. The prognostic prediction model was at last constructed using the selected prognosis-related features and was evaluated through KM estimate and cross-validation. In terms of biological meaning, Gene Ontology (GO) enrichment analysis of the expressed genes that correlated with the prognostically significant features was performed to show the biological interpretability of our model.With the help of tumor segmentation, our model achieved better statistical significance and better biological interpretability compared to the results without tumor segmentation. Statistically, the Kaplan Meier (KM) estimate of our model showed that the model using features in the tumor region has a higher C-index, a lower p-value, and a better performance on cross-validation than the model without tumor segmentation. In addition, revealing the pathway of the immune escape and the spread of the tumor, the model with tumor segmentation demonstrated a biological meaning much more related to cancer immunobiology than the model without tumor segmentation. Our prognostic prediction model using quantitive morphological features from tumor regions was almost as good as the TNM tumor staging system as they had a close C-index, and our model can be combined with the TNM tumor stage system to make a better prognostic prediction. And to the best of our knowledge, the biological mechanisms in our study were the most relevant to the immune mechanism of cancer compared to the previous studies.

STRESS granule-associated RNA-binding protein CAPRIN1 drives cancer progression and regulates treatment response in nasopharyngeal carcinoma

Nasopharyngeal carcinoma (NPC) is a common malignancy of the head and neck that is mainly diagnosed in southern China and Southeast Asia, with a strong etiological link to Epstein‒Barr virus infection. Those with advanced-stage disease have a significantly worse prognosis. There is an urgent need to identify novel therapeutic targets for the recurrent or metastatic nasopharyngeal carcinoma. With a particular focus on Cell Cycle Associated Protein 1 (CAPRIN1), one of the important RNA-binding proteints associated with stress granule formation, we used RT‒qPCR and immunohistochemistry to validate CAPRIN1 expression in NPC tissues and cell lines. Further, CAPRIN1 expression was knocked down using siRNA, and the effect on cell proliferation and migration was systematically assessed by in vitro assays. As a result, we demonstrated that CAPRIN1 was elevated in NPC compared to adjacent normal tissues. Knockdown of CAPRIN1 in NPC cells inhibited proliferation and migration, involving the regulation of cell cycle protein CCND2 and EMT signaling, respectively. Notably, we found that CAPRIN1 knockdown promoted cell apoptosis by regulation of the expression of apoptosis-related proteins cleaved-PARP and cleaved-Caspase3. Knockdown of CAPRIN1 increased NPC cell sensitivity to rapamycin, and increased NPC cell sensitivity to cisplatin and to X-rays. In conclusion, CAPRIN1 might drive NPC proliferation, regulate cell cycle and apoptosis, and affect tumor cell response to anti-cancer agents and X-ray irradiation. CAPRIN1 might serve as a potential target for NPC.

Identification and validation of a novel stress granules-related prognostic model in colorectal cancer

Aims: A growing body of evidence demonstrates that Stress granules (SGs), a non-membrane cytoplasmic compartments, are important to colorectal development and chemoresistance. However, the clinical and pathological significance of SGs in colorectal cancer (CRC) patients is unclear. The aim of this study is to propose a new prognostic model related to SGs for CRC on the basis of transcriptional expression. Main methods: Differentially expressed SGs-related genes (DESGGs) were identified in CRC patients from TCGA dataset by limma R package. The univariate and Multivariate Cox regression model was used to construct a SGs-related prognostic prediction gene signature (SGPPGS). The CIBERSORT algorithm was used to assess cellular immune components between the two different risk groups. The mRNA expression levels of the predictive signature from 3 partial response (PR) and 6 stable disease (SD) or progress disease (PD) after neoadjuvant therapy CRC patients' specimen were examined. Key findings: By screening and identification, SGPPGS comprised of four genes (CPT2, NRG1, GAP43, and CDKN2A) from DESGGs is established. Furthermore, we find that the risk score of SGPPGS is an independent prognostic factor to overall survival. Notably, the abundance of immune response inhibitory components in tumor tissues is upregulated in the group with a high-risk score of SGPPGS. Importantly, the risk score of SGPPGS is associated with the chemotherapy response in metastatic colorectal cancer. Significance: This study reveals the association between SGs related genes and CRC prognosis and provides a novel SGs related gene signature for CRC prognosis prediction.

Hypoxia-inducible factors, mTOR, and astrin constitute an integrative regulatory network in colon cancer cells

Astrin/SPAG5 is a mitotic spindle protein found to be overexpressed in several human cancers, functioning as an oncogene. The expression of Astrin has not been reported so far in colon cancer, nor has it been related to HIFs expression or action. Since mTOR, Astrin, and hypoxia-inducible factors (HIFs) are involved in promoting the growth and survival of cancer cells, we investigated the possible interaction between them in cultured colon cancer cells. Both Astrin and HIF-1α and HIF-2α protein levels were found only expressed in colon cancer cells compared with nonmalignant cells. Our data indicate that mTOR stimulates both Astrin and HIFs expression, but notably, mTORC activity seems to be independent of Astrin expression levels. However, while HIF-1α or HIF-2α stable knockdown increased Astrin expression, mTOR activity was affected in an opposite way by HIF-1α or HIF-2α silencing, indicating that HIF-1α inhibits mTOR while HIF-2α stimulates its activity. These data suggest that mTOR, Astrin, and HIFs compose an integrative network interacting to activate positive or negative regulatory loops probably to coordinate cancer cell growth, metabolism, and survival under oncogenic stress.

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Colon cancer cells overexpress the mitotic spindle protein Astrin/SPAG5.

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The mTORC induces Astrin and HIFs expression, connecting them in a survival regulatory mechanism.

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Silencing either HIF-1α or HIF-2α in malignant cells significantly increases Astrin expression.

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Silencing of HIF-1α results in mTORC activity enhancement, while HIF-2α silencing results in mTORC activity inhibition.

Drug Resistance in Cancers: A Free Pass for Bullying

The cancer burden continues to grow globally, and drug resistance remains a substantial challenge in cancer therapy. It is well established that cancerous cells with clonal dysplasia generate the same carcinogenic lesions. Tumor cells pass on genetic templates to subsequent generations in evolutionary terms and exhibit drug resistance simply by accumulating genetic alterations. However, recent evidence has implied that tumor cells accumulate genetic alterations by progressively adapting. As a result, intratumor heterogeneity (ITH) is generated due to genetically distinct subclonal populations of cells coexisting. The genetic adaptive mechanisms of action of ITH include activating "cellular plasticity", through which tumor cells create a tumor-supportive microenvironment in which they can proliferate and cause increased damage. These highly plastic cells are located in the tumor microenvironment (TME) and undergo extreme changes to resist therapeutic drugs. Accordingly, the underlying mechanisms involved in drug resistance have been re-evaluated. Herein, we will reveal new themes emerging from initial studies of drug resistance and outline the findings regarding drug resistance from the perspective of the TME; the themes include exosomes, metabolic reprogramming, protein glycosylation and autophagy, and the relates studies aim to provide new targets and strategies for reversing drug resistance in cancers.

Liquid-liquid phase separation in tumor biology

Liquid–liquid phase separation (LLPS) is a novel principle for explaining the precise spatial and temporal regulation in living cells. LLPS compartmentalizes proteins and nucleic acids into micron-scale, liquid-like, membraneless bodies with specific functions, which were recently termed biomolecular condensates. Biomolecular condensates are executors underlying the intracellular spatiotemporal coordination of various biological activities, including chromatin organization, genomic stability, DNA damage response and repair, transcription, and signal transduction. Dysregulation of these cellular processes is a key event in the initiation and/or evolution of cancer, and emerging evidence has linked the formation and regulation of LLPS to malignant transformations in tumor biology. In this review, we comprehensively summarize the detailed mechanisms of biomolecular condensate formation and biophysical function and review the recent major advances toward elucidating the multiple mechanisms involved in cancer cell pathology driven by aberrant LLPS. In addition, we discuss the therapeutic perspectives of LLPS in cancer research and the most recently developed drug candidates targeting LLPS modulation that can be used to combat tumorigenesis.

MG53 suppresses tumor progression and stress granule formation by modulating G3BP2 activity in non-small cell lung cancer

Background

Cancer cells develop resistance to chemotherapeutic intervention by excessive formation of stress granules (SGs), which are modulated by an oncogenic protein G3BP2. Selective control of G3BP2/SG signaling is a potential means to treat non-small cell lung cancer (NSCLC).

Methods

Co-immunoprecipitation was conducted to identify the interaction of MG53 and G3BP2. Immunohistochemistry and live cell imaging were performed to visualize the subcellular expression or co-localization. We used shRNA to knock-down the expression MG53 or G3BP2 to test the cell migration and colony formation. The expression level of MG53 and G3BP2 in human NSCLC tissues was tested by western blot analysis. The ATO-induced oxidative stress model was used to examine the effect of rhMG53 on SG formation. Moue NSCLC allograft experiments were performed on wild type and transgenic mice with either knockout of MG53, or overexpression of MG53. Human NSCLC xenograft model in mice was used to evaluate the effect of MG53 overexpression on tumorigenesis.

Results

We show that MG53, a member of the TRIM protein family (TRIM72), modulates G3BP2 activity to control lung cancer progression. Loss of MG53 results in the progressive development of lung cancer in mg53^-/- mice. Transgenic mice with sustained elevation of MG53 in the bloodstream demonstrate reduced tumor growth following allograft transplantation of mouse NSCLC cells. Biochemical assay reveals physical interaction between G3BP2 and MG53 through the TRIM domain of MG53. Knockdown of MG53 enhances proliferation and migration of NSCLC cells, whereas reduced tumorigenicity is seen in NSCLC cells with knockdown of G3BP2 expression. The recombinant human MG53 (rhMG53) protein can enter the NSCLC cells to induce nuclear translation of G3BP2 and block arsenic trioxide-induced SG formation. The anti-proliferative effect of rhMG53 on NSCLC cells was abolished with knockout of G3BP2. rhMG53 can enhance sensitivity of NSCLC cells to undergo cell death upon treatment with cisplatin. Tailored induction of MG53 expression in NSCLC cells suppresses lung cancer growth via reduced SG formation in a xenograft model.

Conclusion

Overall, these findings support the notion that MG53 functions as a tumor suppressor by targeting G3BP2/SG activity in NSCLCs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12943-021-01418-3.

[Stress granules, emerging players in cancer research]

Cancer cells are submitted to numerous stresses during tumor development, such as hypoxia, lack of nutrient, oxidative stress, or mechanical constriction. A complex mechanism termed the integrated stress response (ISR) occurs allowing cell survival. This mechanism leads to the formation of membraneless cytoplasmic structures called stress granules. The hypothesis that these structures play a major role during tumorigenesis has recently emerged. Here, we describe the biological function of stress granules and of proteins that their formation. We also present the current evidences for their involvement in the development of tumors and in the tumor resistance to cancer drugs. Finally, we discuss the interest of targeting stress granule formation to enhance treatment efficiency in order to delay tumor progression.