Impacts of cadmium accumulation on the diversity, assembly processes, and co-occurrence patterns of archaeal communities in marine sediments.

There is limited understanding regarding the changes in the ecological processes and the mechanisms of archaeal community in response to heavy metal contamination in the marine sediments. In this study, sediment samples were collected from 46 locations near harbors, and the concentration of heavy metals and the diversity of archaeal communities were investigated to understand the impact of Cd on archaeal communities. The results demonstrated a significant correlation between the diversity of archaeal community and Cd concentration, particularly showing a linear decrease in the species richness with rising Cd concentration. ANME-1b was identified as a significantly enriched archaeal taxon in the higher Cd environment. Null model and neutral community model indicated that the ecological assembly of archaeal communities in marine sediments was primarily governed by the stochastic processes, with dispersal limitation being the primary factor. The contribution of deterministic process to the assembly of archaeal communities in higher Cd environments increased clearly, accompanied by a notable reduction in species migration rates and widths of ecological niche of archaeal populations. Co-occurrence network analysis revealed an obvious increase in species interactions in higher Cd environments, with an apparent rise in the proportion of competitive relationships and an increase in the number of keystone species. Moreover, archaeal species formed a more complex and stable community to cope with Cd stress. This study provides new insights into the impacts of heavy metals on the ecological processes of marine microorganisms and the underlying mechanisms.

HKDC1 promotes tumor immune evasion in hepatocellular carcinoma by coupling cytoskeleton to STAT1 activation and PD-L1 expression.

Immune checkpoint blockade (ICB) has shown considerable promise for treating various malignancies, but only a subset of cancer patients benefit from immune checkpoint inhibitor therapy because of immune evasion and immune-related adverse events (irAEs). The mechanisms underlying how tumor cells regulate immune cell response remain largely unknown. Here we show that hexokinase domain component 1 (HKDC1) promotes tumor immune evasion in a CD8+ T cell-dependent manner by activating STAT1/PD-L1 in tumor cells. Mechanistically, HKDC1 binds to and presents cytosolic STAT1 to IFNGR1 on the plasma membrane following IFNγ-stimulation by associating with cytoskeleton protein ACTA2, resulting in STAT1 phosphorylation and nuclear translocation. HKDC1 inhibition in combination with anti-PD-1/PD-L1 enhances in vivo T cell antitumor response in liver cancer models in male mice. Clinical sample analysis indicates a correlation among HKDC1 expression, STAT1 phosphorylation, and survival in patients with hepatocellular carcinoma treated with atezolizumab (anti-PD-L1). These findings reveal a role for HKDC1 in regulating immune evasion by coupling cytoskeleton with STAT1 activation, providing a potential combination strategy to enhance antitumor immune responses.

Integrative Omic Analysis Reveals the Dynamic Change in Phenylpropanoid Metabolism in Morus alba under Different Stress.

Morus alba is used as a traditional Chinese medicine due to its various biological activities. Phenylpropanoid metabolism is one of the most important pathways in Morus alba to produce secondary metabolites and response to stress. From the general phenylpropanoid pathway, there are two metabolic branches in M. alba, including flavonoid and lignin biosynthesis, which also play roles in response to stress. However, the dynamic changes between flavonoid and lignin biosynthesis under Botrytis cinerea infection and UV-B stress in M. alba were unclear. To explore the different regulation mode of flavonoid and lignin biosynthesis in M. alba leaves' response to biotic and abiotic stress, a combined proteomic and metabolomic study of M. alba leaves under UV-B stress and B. cinerea infection was performed. The results showed that most of the proteins involved in the lignin and flavonoid biosynthesis pathway were increased under either UV-B stress or B. cinerea infection in M. alba. This was also confirmed by enzyme assays and metabolomics analysis. Additionally, the abundance of proteins involved in the biosynthesis of jasmonic acid was increased after B. cinerea infection. This suggests that both flavonoid and lignin biosynthesis participate in the responses to abiotic and biotic stress in M. alba, but they might be regulated by different hormone signaling.

Canine-Inspired Chemometric Analysis of Volatile Organic Compounds in Urine Headspace to Distinguish Prostate Cancer in Mice and Men.

Canines can identify prostate cancer with high accuracy by smelling volatile organic compounds (VOCs) in urine. Previous studies have identified VOC biomarkers for prostate cancer utilizing solid phase microextraction (SPME) gas chromatography-mass spectrometry (GC-MS) but have not assessed the ability of VOCs to distinguish aggressive cancers. Additionally, previous investigations have utilized murine models to identify biomarkers but have not determined if the results are translatable to humans. To address these challenges, urine was collected from mice with prostate cancer and men undergoing prostate cancer biopsy and VOCs were analyzed by SPME GC-MS. Prior to analysis, SPME fibers/arrows were compared, and the fibers had enhanced sensitivity toward VOCs with a low molecular weight. The analysis of mouse urine demonstrated that VOCs could distinguish tumor-bearing mice with 100% accuracy. Linear discriminant analysis of six VOCs in human urine distinguished prostate cancer with sensitivity = 75% and specificity = 69%. Another panel of seven VOCs could classify aggressive cancer with sensitivity = 78% and specificity = 85%. These results show that VOCs have moderate accuracy in detecting prostate cancer and a superior ability to stratify aggressive tumors. Furthermore, the overlap in the structure of VOCs identified in humans and mice shows the merit of murine models for identifying biomarker candidates.

Integrative Proteomic and Phosphoproteomic Analyses Revealed the Regulatory Mechanism of the Response to Ultraviolet B Stress in Clematis terniflora DC.

Clematis terniflora DC. (C. terniflora) has been used as an ancient Chinese traditional herbal medicine. The active substances in C. terniflora have been confirmed to be effective in treating diseases such as prostatitis. UV light radiation is a common environmental factor that damages plants and influences primary and secondary metabolism. Previous studies showed that ultraviolet B (UV-B) radiation followed by dark stress resulted in the accumulation of secondary metabolites in C. terniflora leaves. An in-depth understanding of how C. terniflora leaves respond to UV-B stress is crucial for improving C. terniflora value. Here, we conducted label-free proteomic and phosphoproteomic analyses to explore the protein changes under UV-B and UV-B combined with dark treatment. A total of 2839 proteins and 1638 phosphorylated proteins were identified. Integrative omics revealed that the photosynthetic system and carbohydrate balance were modulated under both stresses. The phosphoproteomic data indicated that the mitogen-activated protein kinase signaling pathway was triggered, while the abundance of phosphorylated proteins related to osmotic stress was increased under UV-B stress. Differentially abundant phosphoproteins from UV-B followed by dark treatment were mainly enriched in response to stimulus including calcium-mediated proteins. This study provides new insight into the impact of UV-B stress on C. terniflora and plant molecular resistance mechanisms through proteomic and phosphoproteomic analyses.

Molecular characterization of a feruloyl-CoA 6'-hydroxylase involved in coumarin biosynthesis in Clematis terniflora DC.

Coumarin is an important secondary metabolite that affects plant physiology. It is a lactone of cis-o-hydroxycinnamic acid and widely exists in medicinal plants. Clematis terniflora DC. is a plant belonging to Ranunculaceae and is rich in variety of coumarins. Feruloyl-CoA 6'-hydroxylase has been reported as a key enzyme in the formation of coumarin basic skeleton only in some common plants, however, its evidence in other species is still lacking especially for the biosynthesis of coumarins in C. terniflora. In the present study, we identified a feruloyl-CoA 6'-hydroxylase CtF6'H in C. terniflora, and functional characterization indicated that CtF6'H could hydroxylate feruloyl-CoA to 6-hydroxyferuloyl-CoA. Furthermore, the expression level of CtF6'H was differed among different tissues in C. terniflora, while under UV-B radiation, the level of CtF6'H was increased in the leaves. Biochemical characteristics and subcellular location showed that CtF6'H was mainly present in the cytosol. The crystal structure of CtF6'H was simulated by homology modeling to predict the potential residues affecting enzyme activity. This study provides the additional evidence of feruloyl-CoA 6'-hydroxylase in different plant species and enriches our understanding of biosynthetic mechanism of coumarin in C. terniflora.

Prostate cancer-associated urinary proteomes differ before and after prostatectomy.

Background: A wide range of disorders can be detected in the urine. Tumor-modifying proteins in the urine may serve as a diagnostic tool for cancer patients and the alterations in their profiles may indicate efficacies of chemotherapy, radiotherapy, and surgery. Methods: We focused on urinary proteomes of patients with prostate cancer and identified tumor-modifying proteins in the samples before and after prostatectomy. Protein array analysis was conducted to evaluate a differential profile of tumor-promoting cytokines, while mass spectrometry-based global proteomics was conducted to identify tumor-suppressing proteins. Results: The result revealed striking differences by prostatectomy. Notably, the urine from the post-prostatectomy significantly decreased the tumorigenic behaviors of prostate tumor cells as well as breast cancer cells. We observed that angiogenin, a stimulator of blood vessel formation, was reduced in the post-prostatectomy urine. By contrast, the levels of three cell-membrane proteins such as prostasin (PRSS8), nectin 2 (PVRL2), and nidogen 1 (NID1) were elevated and they acted as extracellular tumor-suppressing proteins. These three proteins, given extracellularly, downregulated tumorigenic genes such as Runx2, Snail, and transforming growth factor beta and induced apoptosis of tumor cells. However, the role of NID1 differed depending on the location, and intracellular NID1 was tumorigenic and reduced the percent survival. Conclusions: This study demonstrated that prostatectomy remarkably altered the profile of urinary proteomes, and the post-prostatectomy urine provided tumor-suppressive proteomes. The result sheds novel light on the dynamic nature of the urinary proteomes and a unique strategy for predicting tumor suppressors.

Metabolomics and proteomics revealed the synthesis difference of aroma precursors in tobacco leaves at various growth stages.

Tobacco has a high economic value as the largest cash crop worldwide. The quality of flue-cured tobacco is closely related to the overall status of compounds in fresh tobacco leaves, and the aroma precursor plays a key role in the aroma quality of flue-cured tobacco. The untargeted metabolomics and label-free quantitative proteomics analysis of tobacco leaves in three growth stages (root stretching, prosperous growth, and maturation) retrieved 243 metabolites and 4313 proteins (944 differentially expressed proteins), which showed that carbohydrate, amino acid, and fatty acid metabolism varies among the three growth stages. Also, the most of amino acids, organic acids, fatty acids, and polyphenols reduced in the vegetative growth stage, while increased in the reproductive growth stage. On the other hand, alkaloids such as nicotine, nornicotine, and anatabine increased continuously in tobacco leaves during the three growth stages. This study helps us understand the growth and development characteristics of Yun87 flue-cured tobacco in the field before harvest, and it provides a certain omics basis for the industrial crop flue-cured tobacco.

Erratum: Preventing tumor progression to the bone by induced tumor-suppressing MSCs: Erratum.

[This corrects the article DOI: 10.7150/thno.58779.].

The effect of information-driven resource allocation on the propagation of epidemic with incubation period.

In the pandemic of COVID-19, there are exposed individuals who are infected but lack distinct clinical symptoms. In addition, the diffusion of related information drives aware individuals to spontaneously seek resources for protection. The special spreading characteristic and coevolution of different processes may induce unexpected spreading phenomena. Thus we construct a three-layered network framework to explore how information-driven resource allocation affects SEIS (susceptible-exposed-infected-susceptible) epidemic spreading. The analyses utilizing microscopic Markov chain approach reveal that the epidemic threshold depends on the topology structure of epidemic network and the processes of information diffusion and resource allocation. Conducting extensive Monte Carlo simulations, we find some crucial phenomena in the coevolution of information diffusion, resource allocation and epidemic spreading. Firstly, when E-state (exposed state, without symptoms) individuals are infectious, long incubation period results in more E-state individuals than I-state (infected state, with obvious symptoms) individuals. Besides, when E-state individuals have strong or weak infectious capacity, increasing incubation period has an opposite effect on epidemic propagation. Secondly, the short incubation period induces the first-order phase transition. But enhancing the efficacy of resources would convert the phase transition to a second-order type. Finally, comparing the coevolution in networks with different topologies, we find setting the epidemic layer as scale-free network can inhibit the spreading of the epidemic.

Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time.

Volatile organic compounds (VOCs) in urine are potential biomarkers of breast cancer. Previously, our group has investigated breast cancer through analysis of VOCs in mouse urine and identified a panel of VOCs with the ability to monitor tumor progression. However, an unanswered question is whether VOCs can be exploited similarly to monitor the efficacy of antitumor treatments over time. Herein, subsets of tumor-bearing mice were treated with pitavastatin at high (8 mg/kg) and low (4 mg/kg) concentrations, and urine was analyzed through solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Previous investigations using X-ray and micro-CT analysis indicated pitavastatin administered at 8 mg/kg had a protective effect against mammary tumors, whereas 4 mg/kg treatments did not inhibit tumor-induced damage. VOCs from mice treated with pitavastatin were compared to the previously analyzed healthy controls and tumor-bearing mice using chemometric analyses, which revealed that mice treated with pitavastatin at high concentrations were significantly different than tumor-bearing untreated mice in the direction of healthy controls. Mice treated with low concentrations demonstrated significant differences relative to healthy controls and were reflective of tumor-bearing untreated mice. These results show that urinary VOCs can accurately and noninvasively predict the efficacy of pitavastatin treatments over time.

Counterintuitive production of tumor-suppressive secretomes from Oct4- and c-Myc-overexpressing tumor cells and MSCs.

Background: Advanced breast cancer frequently metastasizes to bone, but inhibiting tumor progression in chemotherapy may occasionally enhance tumorigenesis. Here, we employed a counterintuitive approach of overexpressing Yamanaka factors (Oct4, c-Myc, Sox2, and Klf4) and examined a conditioned medium (CM)-based treatment option with induced tumor-suppressing cells (iTSCs). Methods:In vitro proliferation and migration assays were conducted using tumor cell lines derived from breast cancer, as well as prostate and pancreatic cancers, and osteosarcoma. The tumor-suppressing capability of iTSC-derived CM was evaluated using freshly isolated breast cancer tissues and a mouse model of mammary tumors and tumor-induced osteolysis. The regulatory mechanism was evaluated using Western blotting, immunoprecipitation, pull-down, gene overexpression, and RNA interference based on mass spectrometry-based proteomics data. Results: The overexpression of Oct4 and c-Myc in tumor cells and MSCs, but not Sox2 or Klf4, generated anti-tumor CM, which suppressed the progression of mammary tumors and tumor-induced bone loss. Notably, CM downregulated histone demethylase, and PDL-1, a blocker of T-cell-based immune responses. Whole-genome proteomics predicted enolase 1 (Eno1), Hsp90ab1, Eef2, and vinculin as extracellular tumor suppressors. Specifically, CD44 was co-immunoprecipitated with Eno1 and the silencing of CD44 suppressed Eno1's anti-tumor action. The overexpression of Oct4 and c-Myc also generated secretomes that inhibited the development of bone-resorbing osteoclasts. Conclusions: In analogous to cell competition in which Myc-overexpressing cells in Drosophila and mouse embryos remove neighboring cells with a lower level of Myc, this study presented the possibility of eliminating tumor cells by the secretory proteomes derived from Myc/Oc4-overexpressing iTSCs.

SWATH-based quantitative proteomic analysis of Morus alba L. leaves after exposure to ultraviolet-B radiation and incubation in the dark.

Morus alba is a woody shrub of the family Moraceae and used as traditional Chinese medicine for a long history. Ultraviolet-B (UV-B) radiation, as a kind of abiotic stress factor, affected the growth and secondary metabolism in M. alba. Previous studies indicated that the contents of several secondary metabolites such as moracin N, chalcomaricin were significantly increased under high level UV-B radiation and dark incubation in M. alba leaves. To reveal the response mechanism under UV-B radiation and dark incubation in M. alba leaves, SWATH-based quantitative proteomic analysis was performed. Totally, 716 proteins were identified and quantified in the control, UVB, and UVD groups. Among them, 123 proteins and 96 proteins were identified as differentially abundant proteins in UVB group and UVD groups, respectively. Proteins related to photosynthesis, amino acid biosynthesis, and tocopherol biosynthesis were significantly altered in UVB group, while proteins related to the biosynthesis of phenolic compounds were significantly altered in UVD group. In addition, the abundances of proteins involved in the ubiquitin-proteasome system (UPS) were significantly increased in both UVB and UVD groups, indicating that UPS combined with secondary mechanism participated in the resistance to UV-B radiation and dark incubation. The obtained results provide novel insight into the effects of high level UV-B radiation on M. alba leaves and on the strategies used for maximizing the chemical constituents and the medicinal value of the M. alba leaves.

De novo Transcriptome Analysis Revealed the Putative Pathway Genes Involved in Biosynthesis of Moracins in Morus alba L.

Moracins, a kind of 2-phenyl-benzofuran compound from Moraceae, serve as phytoalexins with antimicrobial, anti-inflammatory, antitumor, and antidiabetes activities and respond to biotic and abiotic stresses, while their biosynthetic pathway and regulatory mechanism remain unclear. Here, we report a de novo transcriptome sequencing for different tissues of seedlings, as well as leaves under different stresses, in M. alba L. A total of 88 282 unigenes were assembled with an average length of 937 bp, and 82.2% of them were annotated. On the basis of the differential expression analysis and enzymatic activity assays in vitro, moracins were traced to the phenylpropanoid pathway, and a putative biosynthetic pathway of moracins was proposed. Unigenes coding key enzymes in the pathway were identified and their expression levels were verified by real-time quantitative reverse transcription PCR (qRT-PCR). Particularly, a p-coumaroyl CoA 2'-hydroxylase was presumed to be involved in the biosynthesis of stilbenes and deoxychalcones in mulberry. Additionally, the transcription factors that might participate in the regulation of moracin biosynthesis were obtained by coexpression analysis. These results shed light on the putative biosynthetic pathway of moracins, providing a basis for further investigation in functional characterization and transcriptional regulation of moracin biosynthesis in mulberry.

Tandem mass tag-based proteomic analysis of endoplasmic reticulum proteins in mulberry leaves under ultraviolet-B and dark stress.

Mulberry leaves have been used in traditional Chinese medicine due to their antioxidant, antidiabetic, and antihyperlipidemic properties. A previous study showed that ultraviolet-B radiation followed by dark incubation could improve the contents of active ingredients in mulberry leaves, such as moracin N and chalcomoracin. The endoplasmic reticulum (ER) serves as a protein quality control center and the location for protein synthesis, which is involved in the response to the environmental stress in plants. To investigate the mechanisms in response to ultraviolet-B radiation followed by dark incubation (UV + D), ER proteomics was performed on mulberry leaves. The ER protein markers, glucose-regulated protein (GRP78), and calnexin (CNX), were significantly higher in the ER fraction than in the total protein fraction, indicating that the ER was purified. Compared to the control, the abundance of protein disulfide isomerase, UDP-glucose glycoprotein glucosyltransferase, CNX, and calreticulin proteins decreased, while of the abundance of heat shock-related proteins increased under stress. P450 enzyme system-related proteins and ribosomal proteins showed significant increases. These results suggest that under UV + D stress, mulberry leaves activated the cell redox and ER quality control systems, enhancing protein synthesis and weakening N-glycan biosynthesis in the ER to resist the damage.

Comparative Proteomic and Metabolomic Analyses of Plasma Reveal the Novel Biomarker Panels for Thyroid Dysfunction.

BACKGROUND: Thyroid dysfunction, including hypothyroidism (THO) and hyperthyroidism (THE), commonly arise from pathological processes in the thyroid gland. The current diagnosis of thyroid dysfunction varies because of the age and sex of the patients. The aim of this study was to explore novel candidate biomarker panels for hypothyroidism and hyperthyroidism screening with mass spectrometry and bioinformatics. METHODS: Plasma samples were collected from 15 THE patients, 9 THO patients, and 15 healthy controls. Data Independent Acquisition(DIA)-based proteomic and untargeted metabolomic analyses were performed to identify novel biomarker panels for THO and THE patients. Finally, three candidate biomarkers were verified by ELISA in 34 samples. RESULTS: A total of 2738 proteins and 6103 metabolites were identified, and 173 proteins and 2487 metabolites were found to be differentially expressed among the THE, THO and control groups. The results of the ensemble feature selection, K-means clustering and least absolute shrinkage and selection operator (LASSO) regression model showed that two proteins (C4-A and C3/C5 convertase) combined with two metabolites (L-arginine and L-proline), and proteins (APOL1 and ITIH4) combined with metabolites (cortisol, and cortisone) identified by plasma proteomics and metabolomics could help distinguish THO and THE patients from healthy controls, respectively. CONCLUSIONS: This study identified and verified two pairs of biomarker panels that can be used to distinguish THE and THO patients regardless of age and sex. Consequently, our findings represent a comprehensive analysis of thyroid dysfunction plasma, which is significant for clinical diagnosis.

Mitochondrial proteomic analysis reveals the regulation of energy metabolism and reactive oxygen species production in Clematis terniflora DC. leaves under high-level UV-B radiation followed by dark treatment.

Clematis terniflora DC. is an important medicinal plant from the family Ranunculaceae. A previous study has shown that active ingredients in C. terniflora, such as flavonoids and coumarins, are increased under ultraviolet B radiation (UV-B) and dark treatment and that the numbers of genes related to the tricarboxylic acid cycle and mitochondrial electron transport chain (mETC) are changed. To uncover the mechanism of the response to UV-B radiation and dark treatment in C. terniflora, mitochondrial proteomics was performed. The results showed that proteins related to photorespiration, mitochondrial membrane permeability, the tricarboxylic acid cycle, and the mETC mainly showed differential expression profiles. Moreover, the increase in alternative oxidase indicated that another oxygen-consuming respiratory pathway in plant mitochondria was induced to minimize mitochondrial reactive oxygen species production. These results suggested that respiration and mitochondrial membrane permeability were deeply influenced to avoid energy consumption and maintain energy balance under UV-B radiation and dark treatment in C. terniflora leaf mitochondria. Furthermore, oxidative phosphorylation was able to regulate intracellular oxygen balance to resist oxidative stress. This study improves understanding of the function of mitochondria in response to UV-B radiation and dark treatment in C. terniflora. SIGNIFICANCE: C. terniflora was an important traditional Chinese medicine for anti-inflammatory. Previous study showed that the contents of coumarins which were the main active ingredient in C. terniflora were induced by UV-B radiation and dark treatment. In the present study, to uncover the regulatory mechanism of metabolic changes in C. terniflora, mitochondrial proteomics analysis of leaves was performed. The results showed that photorespiration and oxidative phosphorylation pathways were influenced under UV-B radiation and dark treatment. Mitochondria in C. terniflora leaf played a crucial role in energy mechanism and regulation of cellular oxidation-reduction to maintain cell homeostasis under UV-B radiation followed with dark treatment.

CXCL13 in Cancer and Other Diseases: Biological Functions, Clinical Significance, and Therapeutic Opportunities.

The development of cancer is a multistep and complex process involving interactions between tumor cells and the tumor microenvironment (TME). C-X-C chemokine ligand 13 (CXCL13) and its receptor, CXCR5, make crucial contributions to this process by triggering intracellular signaling cascades in malignant cells and modulating the sophisticated TME in an autocrine or paracrine fashion. The CXCL13/CXCR5 axis has a dominant role in B cell recruitment and tertiary lymphoid structure formation, which activate immune responses against some tumors. In most cancer types, the CXCL13/CXCR5 axis mediates pro-neoplastic immune reactions by recruiting suppressive immune cells into tumor tissues. Tobacco smoke and haze (smohaze) and the carcinogen benzo(a)pyrene induce the secretion of CXCL13 by lung epithelial cells, which contributes to environmental lung carcinogenesis. Interestingly, the knockout of CXCL13 inhibits benzo(a)pyrene-induced lung cancer and azoxymethane/dextran sodium sulfate-induced colorectal cancer in mice. Thus, a better understanding of the context-dependent functions of the CXCL13/CXCR5 axis in tumor tissue and the TME is required to design an efficient immune-based therapy. In this review, we summarize the molecular events and TME alterations caused by CXCL13/CXCR5 and briefly discuss the potentials of agents targeting this axis in different malignant tumors.

Generation of the tumor-suppressive secretome from tumor cells.

Rationale: The progression of cancer cells depends on the soil and building an inhibitory soil might be a therapeutic option. We previously created tumor-suppressive secretomes by activating Wnt signaling in MSCs. Here, we examined whether the anti-tumor secretomes can be produced from tumor cells. Methods: Wnt signaling was activated in tumor cells by overexpressing ß-catenin or administering BML284, a Wnt activator. Their conditioned medium (CM) was applied to cancer cells or tissues, and the effects of CM were evaluated. Tumor growth in the mammary fat pad and tibia in C57BL/6 female mice was also evaluated through µCT imaging and histology. Whole-genome proteomics analysis was conducted to determine and characterize novel tumor-suppressing proteins, which were enriched in CM. Results: The overexpression of ß-catenin or the administration of BML284 generated tumor-suppressive secretomes from breast, prostate and pancreatic cancer cells. In the mouse model, ß-catenin-overexpressing CM reduced tumor growth and tumor-driven bone destruction. This inhibition was also observed with BML284-treated CM. Besides p53 and Trail, proteomics analysis revealed that CM was enriched with enolase 1 (Eno1) and ubiquitin C (Ubc) that presented notable tumor-suppressing actions. Importantly, Eno1 immunoprecipitated CD44, a cell-surface adhesion receptor, and its silencing suppressed Eno1-driven tumor inhibition. A pan-cancer survival analysis revealed that the downregulation of MMP9, Runx2 and Snail by CM had a significant impact on survival outcomes (p < 0.00001). CM presented a selective inhibition of tumor cells compared to non-tumor cells, and it downregulated PD-L1, an immune escape modulator. Conclusions: The tumor-suppressive secretome can be generated from tumor cells, in which ß-catenin presented two opposing roles, as an intracellular tumor promoter in tumor cells and a generator of extracellular tumor suppressor in CM. Eno1 was enriched in CM and its interaction with CD44 was involved in Eno1's anti-tumor action. Besides presenting a potential option for treating primary cancers and metastases, the result indicates that aggressive tumors may inhibit the growth of less aggressive tumors via tumor-suppressive secretomes.