The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Glutamine depletion regulates Slug to promote EMT and metastasis in pancreatic cancer
Open accessAbstract
Tumor cells rely on glutamine to fulfill their metabolic demands and sustain proliferation. The elevated consumption of glutamine can lead to intratumoral nutrient depletion, causing metabolic stress that has the potential to impact tumor progression. Here, we show that nutrient stress caused by glutamine deprivation leads to the induction of epithelial–mesenchymal transition (EMT) in pancreatic ductal adenocarcinoma (PDAC) cells. Mechanistically, we demonstrate that glutamine deficiency regulates EMT through the up-regulation of the EMT master regulator Slug, a process that is dependent on both MEK/ERK signaling and ATF4. We find that Slug is required in PDAC cells for glutamine deprivation–induced EMT, cell motility, and nutrient stress survival. Importantly, we decipher that Slug is associated with nutrient stress in PDAC tumors and is required for metastasis. These results delineate a novel role for Slug in the nutrient stress response and provide insight into how nutrient depletion might influence PDAC progression.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“extracellular asparagine from serum and produced by a constitutively active integrated stress response in subpopulations of PDAC cells can be targeted using asparaginase, potently sensitizing PDAC tumors to mitochondrial inhibition in pre-clinical models239,246.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [239]
In the citing paper
“Differential activation of the integrated stress response can also be used to define sub-populations within individual tumors, which drives differential sensitivity to metabolic inhibitors239.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [239]
In the citing paper
“metabolic characterization of clonal lines isolated from tumors revealed that two distinct populations can co-exist within the same tumor239”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [239]
In the citing paper
“asparagine produced by subpopulations of PDAC cells that have a constitutively active integrated stress response support the mitochondrial metabolism of other PDAC cells during limited respiration239, providing a barrier to metabolic targeting.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [239]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
Metascape provides a biologist-oriented resource for the analysis of systems-level datasets
Zhou, Y., Zhou, B., Pache, L., Chang, M., Khodabakhshi, A. H., Tanaseichuk, O., Benner, C., & Chanda, S. K. (2019) · Nature Communications · doi:10.1038/s41467-019-09234-6 · Cited by 14,611
Molecular mechanisms of epithelial–mesenchymal transition
Lamouille, S., Xu, J., & Derynck, R. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3758 · Cited by 8,091
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
Genomic analyses identify molecular subtypes of pancreatic cancer
Bailey, P., Chang, D. K., Nones, K., Johns, A. L., Patch, A.-M., Gingras, M.-C., Miller, D. K., Christ, A. N., Bruxner, T. J. C., Quinn, M. C., et al. (2016) · Nature · doi:10.1038/nature16965 · Cited by 3,621
The integrated stress response
Pakos‐Zebrucka, K., Koryga, I., Mnich, K., Ljujic, M., Samali, A., & Gorman, A. M. (2016) · The EMBO Reports · doi:10.15252/embr.201642195 · Cited by 2,659
Hingorani, S. R., Wang, L., Multani, A. S., Combs, C., Deramaudt, T. B., Hruban, R. H., Rustgi, A. K., Chang, S., & Tuveson, D. A. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.04.023 · Cited by 2,609
Regulatory networks defining EMT during cancer initiation and progression
Craene, B. D., & Berx, G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3447 · Cited by 2,487
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–181 of 181
Syntenin Regulated by miR-216b Promotes Cancer Progression in Pancreatic Cancer
Zu, F., Chen, H., Liu, Q., Zang, H., Li, Z., & Tan, X. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.790788 · Cited by 8
He, X., Smith, M. R., Jarrell, Z. R., Ly, V. T., Liang, Y., Lee, C., Orr, M. L., Go, Y., & Jones, D. P. (2024) · Toxicology · doi:10.1016/j.tox.2024.153772 · Cited by 7
A hormetic response model for glutamine stress in cancer
Grenier, S. F., & Commisso, C. (2024) · Trends in cancer · doi:10.1016/j.trecan.2024.11.008 · Cited by 7
Self-citationCrosstalk of glutamine metabolism between cancer-associated fibroblasts and cancer cells
Chen, T., Xu, Y., Yang, F., Pan, Y., Ji, N., Li, J., Zeng, X. Y., Chen, Q., Jiang, L., & Shen, Y. (2025) · Cellular Signalling · doi:10.1016/j.cellsig.2025.111874 · Cited by 9
Post-translational modifications and the reprogramming of tumor metabolism
Hu, Y., Xu, W., & Chen, L. (2025) · Discover Oncology · doi:10.1007/s12672-025-02674-1 · Cited by 8
Li, J., Gao, P., Qin, M., Wang, J., Luo, Y., Deng, P., Hao, R., Zhang, L., He, M., Chen, C., et al. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.170773 · Cited by 7
Cancer spreading patterns based on epithelial-mesenchymal plasticity
Wang, R., & Yan, Z. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1259953 · Cited by 7
Predictive biomarkers of pancreatic cancer metastasis: A comprehensive review
Chen, M., Liu, H., Xiao, Y., Liang, R., Xu, H., Hong, B., & Qian, Y. (2025) · Clinica Chimica Acta · doi:10.1016/j.cca.2025.120176 · Cited by 7
Redding, A., Fonteneau, G., Heinrich, S., Gaida, M. M., & Grabocka, E. (2025) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-1144 · Cited by 7
Wang, J., Ding, S., Liu, X.-S., Yu, T., Wu, Z., & Li, Y. (2023) · Current Molecular Medicine · doi:10.2174/0115665240271525231112121008 · Cited by 7
Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes
Galenkamp, K. M. O., Galapate, C. M., Zhang, Y., & Commisso, C. (2021) · Journal of Visualized Experiments · doi:10.3791/62828 · Cited by 7
Self-citationResearch progress on chronic stress stimulation and gastric cancer metastasis
Chen, J., Zhang, Y., Zhang, T., Wen, Z., Li, Y., Ye, Y., Zhou, Z., & Jia, G. (2025) · Discover Oncology · doi:10.1007/s12672-025-03950-w · Cited by 6
Self-citationMa, Y., Ling, S., Li, Y., Hu, M., Kong, B., Huang, P., & Liu, H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23126697 · Cited by 6
Franco, A., Duryea, J., & McDonald, O. G. (2023) · Cancer and Metastasis Reviews · doi:10.1007/s10555-023-10116-z · Cited by 5
An Overview of Research Advances in Oncology Regarding the Transcription Factor ATF4
Chen, Y., Gao, Q., Wang, D., Zou, X., Li, X.-M., Ji, J., & Liu, B. (2024) · Current Drug Targets · doi:10.2174/0113894501328461240921062056 · Cited by 5
Ragab, E. M., Gamal, D. M. E., Elnajjar, F. F., Elkomy, H. A., Ragab, M. A., Elantary, M. A., Basyouni, O. M., Moustafa, S. M., El-Naggar, S. A., & Elsherbiny, A. S. (2025) · Discover Oncology · doi:10.1007/s12672-025-01846-3 · Cited by 5
Miao, H., Zhang, B., Li, Y., Ma, X., Yang, Y., Lin, Z., & Liu, Y. (2025) · Cellular Signalling · doi:10.1016/j.cellsig.2025.111753 · Cited by 5
Zhu, Y.-H., Jia, Q.-Y., Yao, H., Duan, Z., Ma, X.-S.-Y., Zheng, J.-H., Yin, Y., Liu, W., Zhang, J., Hua, R., et al. (2024) · Cancer Cell International · doi:10.1186/s12935-024-03440-z · Cited by 5
Macropinocytosis controls metabolic stress-driven CAF subtype identity in pancreatic cancerPreprint
Zhang, Y., Li, L., Maganti, S., Hope, J. L., Galapate, C. M., Carrette, F., Duong‐Polk, K., Bagchi, A., Scott, D. A., Lowy, A. M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.29.625709 · Cited by 5
Self-citationTumor Microenvironment: Recent Advances in Immunotherapies of Pancreatic Cancer
Thankachan, S. V., Jayaraman, V., Datta, L., Apthi, S., Zaman, B. F., Gurunathan, R., Suresh, A., Chandrakesan, P., Vinayagam, R., Kang, S. G., et al. (2025) · Medicina · doi:10.3390/medicina61101776 · Cited by 5
Wang, W., Tian, X., Yan, L., Guan, X., Dong, B., Zhao, M., Liu, D.-N., Wu, J., & Hao, C. (2023) · Annals of Medicine · doi:10.1080/07853890.2023.2242247 · Cited by 4
Aminopyridine analogs selectively target metastatic pancreatic cancer
Smalling, R. V., Bechard, M. E., Duryea, J., Kingsley, P. J., Roberts, E. R., Marnett, L. J., Bilbao, D., Stauffer, S. R., & McDonald, O. G. (2022) · Oncogene · doi:10.1038/s41388-022-02183-3 · Cited by 4
Uncovering the Multifaceted Roles of DDX21: Bridging Biological Insights and Medical Applications
Shen, J., Chen, R., Guo, K., Zhong, C., & Duan, S. (2024) · Journal of Bio-X Research · doi:10.34133/jbioxresearch.0012 · Cited by 3
PAK5 potentiates slug transactivation of N-cadherin to facilitate metastasis of renal cell carcinoma
Liu, X., Pan, Y., Kang, M., Jiang, X., Guo, Z., & Pei, D. (2023) · Cellular Signalling · doi:10.1016/j.cellsig.2023.110803 · Cited by 3
Wang, C., Huang, Y., Jia, B., Huang, Y., & Chen, J. (2023) · Archives of Oral Biology · doi:10.1016/j.archoralbio.2023.105775 · Cited by 3
Promising Therapeutic Approach in Pancreatic Cancer: Metabolism-Related Genes
Choe, S., Kwak, W., Kim, E., Shin, S., Shin, M., Koh, H. J., & Yoon, H. (2024) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2904137 · Cited by 3
Inhibition of lncRNA RET enhances radio-sensitivity of tumor cells via miR-3179/Slug/PTEN axis
Liang, X., Li, X., Wang, P., Chen, Z., Yan, Z., Ao, X., Liu, Y., Zhu, J., Xi, T., Zhou, S., et al. (2022) · Toxicology Research · doi:10.1093/toxres/tfac008 · Cited by 3
Shi, Y., Pan, M., Chen, X., Bi, Y., Wei, X., Zheng, F., Xia, H., & He, X. (2026) · Scientific Reports · doi:10.1038/s41598-026-41545-9 · Cited by 2
FAP Serves as a Prognostic Biomarker in Head and Neck Squamous Cell Carcinoma
Liao, Z., Fan, H., Weng, J., Zhou, J., & Zheng, Y. (2024) · Analytical Cellular Pathology · doi:10.1155/2024/8810804 · Cited by 2
Zang, X., Lei, K., Wang, J., Gong, R., Gao, C., Jing, Z., Song, J., & Ren, H. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.155071 · Cited by 2
SHIRAKAWA, K., Nakazato, R., Hara, T., Uemura, K., Ijaz, F., Takahashi, S., & Ikegami, K. (2025) · Medical Molecular Morphology · doi:10.1007/s00795-025-00428-0 · Cited by 2
Road Map to Defeat Pancreatic Cancer
Ferguson, L. P., & Tuveson, D. A. (2025) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-060624-044323 · Cited by 2
Xie, S., Hu, Y., Jin, J., Fu, L., Zhang, C., Yang, Q., Niu, Y., & Sheng, Z. (2023) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2023.12173 · Cited by 2
Effects of quercetin on renal autophagy and interstitial fibrosis in diabetes mellitus
Shuling, W. A. N. G., SHANG, S., Juan, L. V., & Dandan, H. O. U. (2022) · Food Science and Technology · doi:10.1590/fst.122821 · Cited by 2
Zeng, Z., Han, S., Wang, Y., Huang, Y., Hu, Y., Xu, F., Zhao, Y. B., Huang, M., Tang, J., Wang, D., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-875697/v1 · Cited by 2
Zhang, S., Chu, X., Zhang, Y., Qiu, J., Pan, L., Gu, L., Kang, H., & Wang, L. (2025) · Translational Cancer Research · doi:10.21037/tcr-24-1933 · Cited by 1
Self-citationLiu, J., Li, H., Lin, X., Xiong, J., Wu, G., Ding, L., & Lin, B. (2025) · World Journal of Surgical Oncology · doi:10.1186/s12957-025-03793-3 · Cited by 1
Meng, Y., Li, R., Jiang, W., Chen, W., Xu, Z., Li, Z., Hou, Y., & Wang, T. (2026) · Cell Cycle · doi:10.1080/15384101.2025.2604772 · Cited by 1
Glutamine homeostasis regulates PD-L1 level through STAT3 in pancreatic cancer
Li, Z., Otkur, W., Qi, H., Li, J., Li, S., Ling, T., Wang, H., Li, R., Zhang, Q., Sun, Y., et al. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102092 · Cited by 1
Fueling the fatal voyage: How metabolic plasticity empowers every step of cancer metastasis
Liao, J., & Ji, Q. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218444 · Cited by 1
Wang, X., Zhang, C. X., Zhao, Y., He, J., & Thiery, J. P. (2026) · Cancer and Metastasis Reviews · doi:10.1007/s10555-026-10368-5 · Cited by 2
Sandborg, H., & Sherman, M. H. (2022) · Nature Cancer · doi:10.1038/s43018-022-00421-x · Cited by 1
Ou, X., Tan, Y., Gao, G., Wu, S., Zhang, J., Tang, H., Zhu, H., & Yang, A. (2023) · Journal of Oncology · doi:10.1155/2023/6242355 · Cited by 1
PPAR-delta acts as a metabolic master checkpoint for metastasis in pancreatic cancerPreprint
Parejo-Alonso, B., Barneda, D., Trabulo, S. M. D., Courtois, S., Compte-Sancerni, S., Ruíz-Cañas, L., Zheng, Q., Tang, J., Chen, M., Guo, Z., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.15.468579 · Cited by 1
Fu, H., Zeng, Y., Lai, J., Lin, W., Chen, J., Xu, C., Chen, X., & Tu, X.-K. (2022) · Research Square · doi:10.21203/rs.3.rs-1662969/v1 · Cited by 1
Lei, Y., Lin, H., Liu, P., & Guo, F. (2024) · Research Square · doi:10.21203/rs.3.rs-3849378/v1 · Cited by 1
Josselsohn, R., & Tuveson, D. A. (2020) · The Journal of Experimental Medicine · doi:10.1084/jem.20200819
Liu, J., Zheng, X., Wan, L., Ren, L., Li, S., Yang, Y., Ge, B., Du, G., Shi, J., & Wang, J. (2021) · Research Square · doi:10.21203/rs.3.rs-656678/v1
Compania Elias de zarzuela y opera espanola
la Católica, T. I., & Cabrero, F. (1896) · Institutional Repository of the University of Granada (University of Granada)
Comprehensive molecular characterization of hypertension-related genes in cancer
Jiang, Y., Shi, C., Tian, S., Zhi, F., Shen, X., Shang, D., & Tian, J. (2022) · Cardio-Oncology · doi:10.1186/s40959-022-00136-z
Gao, C., Chu, Z., Yang, X., Zhou, X., Wu, J., Yuan, H., Jiang, Y., Chen, D., Zhang, J., Yao, N., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1774135/v1
Saggese, P., Pandey, A., Fung, E., Yanagawa, J., Rodriguez, E. F., Grogan, T., Giurato, G., Nassa, G., Salvati, A., Weisz, A., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4124636
Jiang, L.-Y., Wen, Z.-K., Li, B., & Zhong, Y. (2022) · Research Square · doi:10.21203/rs.3.rs-1708815/v1
Epithelial-mesenchymal transition and resistance to EGFR inhibitors
Jacob, S., Kurupi, R., & Faber, A. C. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-822833-3.00009-7
Wu, Q., Hatse, S., Kenis, C., Fernández-García, J., Altea‐Manzano, P., Billen, J., Planque, M., Vandekeere, A., Lambrechts, Y., Richard, F., et al. (2024) · Breast Cancer Research and Treatment · doi:10.1007/s10549-024-07260-7
IL20RB promotes pancreatic cancer progression by activating NF- kB signalling and promoting EMTPreprint
Ruan, W., Li, J., Yin, Y., Lei, P., & Zhu, K. (2025) · Research Square · doi:10.21203/rs.3.rs-5929013/v1
Effect of FLRT3 on epithelial-mesenchymal transition in clear cell renal cell carcinoma
Wang, J., Xie, Z., Peng, S., Huang, Y., Chen, B., & Chen, N. (2025) · Urologia Journal · doi:10.1177/03915603251319944
Liu, C., Wang, M., Qin, H., Liu, H., Wu, Z., Chen, P., Wei, T., Liu, J., Shang, D., Yao, J., et al. (2025) · Organ medicine. · doi:10.1002/orm2.70004
Ameloblastoma Diagnosis From Serum Metabolic Profiling
Sun, P., Wang, S., Wang, Y., & Wei, Z. (2025) · Oral Diseases · doi:10.1111/odi.15308
Gupta, P., Murad, R., Ling, L., Zhang, Y., Duong‐Polk, K., Maganti, S., Galapate, C. M., & Commisso, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.08.652966
Self-citationThe glutamine-aspartate metabolic tradeoff between fast growth and metabolic flexibility
Ortmayr, K., Ringwald, M., Schuhknecht, L., Dubuis, S., Paunossis, E., Blaesi, M., Jehanno, C., Grieder, S. D., Bentires‐Alj, M., Mall, M., et al. (2026) · Genome biology · doi:10.1101/2025.05.12.652188
Turan, K., Guillard, J., Storl-Desmond, M. R., Shan, L., Huang, Y.-C., Forti, K. M., & Schwörer, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.21.677637
Honokiol inhibits cell migration and invasion by blocking EMT via Snail/Slug axis in endometriosis
Kong, X., & Lei, L. (2025) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-025-04702-x
Age-Related Metabolic Reprogramming in Cancer Cell Plasticity
Huang, F., & Weeraratna, A. T. (2025) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-070524-040250
Zhu, Y., Jia, Q.-Y., Yao, H., Duan, Z., Ma, X., Zheng, J.-H., Yin, Y.-F., Liu, W., Zhang, J.-F., Hua, R., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26367915
Jiang, Y., Shi, C., Tian, S., Zhi, F., Shen, X., Shang, D., & Tian, J. (2022) · Figshare · doi:10.6084/m9.figshare.19720078
Jiang, Y., Shi, C., Tian, S., Zhi, F., Shen, X., Shang, D., & Tian, J. (2022) · Figshare · doi:10.6084/m9.figshare.19720084
Jiang, Y., Shi, C., Tian, S., Zhi, F., Shen, X., Shang, D., & Tian, J. (2022) · Figshare · doi:10.6084/m9.figshare.19720087
Jiang, Y., Shi, C., Tian, S., Zhi, F., Shen, X., Shang, D., & Tian, J. (2022) · Figshare · doi:10.6084/m9.figshare.19720081
Sun, H., Zhang, C., Zheng, Y., Liu, C., Wang, X., & Cong, X. (2022) · Figshare · doi:10.6084/m9.figshare.20364135
RHOJ derived peptide promotes chemosensitivity by inhibiting glutamine metabolism in gastric cancer
Li, J., Li, H., Ye, F., Wang, J., Li, F., Bei, S., Zhang, X., Jiang, J. H., & Li, F. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-07731-z
Sathe, M., Minchella, P. M., Vegh, C., Dharmalingam, M. M., Pasupathi, V., Xi, Y., Rai, S., Patil, M., Elshenawy, H., Rudolph, S., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.31.703055
Chang, T., Babich, V., Luong, S. S., Zobel, A. P., & Sole, F. D. (2026) · Cancers · doi:10.3390/cancers18040573
Glutamine-dependent changes in fibroblast-derived extracellular matrix dictate cancer cell behavior
Guillard, J., Stradley, J., Turan, K., Storl-Desmond, M., Lin, S. C., Huang, Y.-T., Forti, K. M., Weber, C. R., & Schwörer, S. (2026) · Matrix Biology · doi:10.1016/j.matbio.2026.03.004
Control of the invadopodia/MT1-MMP axis by mTORC1/TFEB signaling pathway in breast cancer cells
Remy, D. (2022) · theses.fr (ABES) · doi:10.70675/849dc96dz8e18z4428zbf6fz67c9b1d98114
Li, J., Gu, A., Jia, Z., Li, M., Zuo, J., Wang, Z., Li, X., Feng, J., Xue, T., Zhai, S., et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102976
FBXO28 targets SNAI1 for ubiquitin-proteasomal degradation in non-small cell lung cancer
Lin, J., Qiao, X., Liu, H., Chen, Y., Li, Z., Tong, X., Shen, M., Zhang, R., Han, Y., Shen, J., et al. (2026) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2026.113405
Role of epithelial-mesenchymal transition (EMT) in malignancies: current status and future prospects
Meftahpour, V., Dakal, T. C., Maciaczyk, J., Sharma, A., & Schmidt‐Wolf, I. G. H. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02881-4 · Cited by 1
Tumor-derived SAA1-TLR4 signaling drives tumor-to-muscle communication in pancreatic cancer cachexiaPreprint
Guarnaccia, G., Massenet, J., Cecchini, A., Guarnaccia, E., Silvestri, B., Nicoletti, C., Barajas, J. R., Sala, D., Teneche, M. G., Li, B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.04.748998 · Cited by 1
Self-citationMetabolites and cancer metastasis
Yang, S., Shi, S., Hou, J., Zhang, J., & Su, Z. (2026) · Oncogene · doi:10.1038/s41388-026-03930-6
Metadata
- Authors
- Recouvreux, M. V., Moldenhauer, M. R., Galenkamp, K. M. O., Jung, M., James, B., Zhang, Y., Lowy, A., Bagchi, A., & Commisso, C.
- Affiliations
- Sanford Burnham Prebys Medical Discovery Institute (US)
- University of California San Diego (US)
- Corresponding author
- Commisso, Cosimo
- ORCID
- Venue
- Journal of Experimental Medicine
- Publisher
- Rockefeller University Press
- Published
- 2020-06-08
- Volume
- 217
- Issue
- 9
- ISSN
- 0022-1007 (ISSN-L)
- 1540-9538
- PMC
- PMC7478719
- OpenAlex
- W3032930460
- Cited by
- 181
- References
- 57
- Citations by year
- 2026: 15 · 2025: 33 · 2024: 28 · 2023: 37 · 2022: 40 · 2021: 23 · 2020: 4
- FWCI
- 8.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Journal of Experimental Medicine (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R01CA207189)
- National Cancer Institute (P30CA030199)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Keywords
- glutamine deprivation, Slug, epithelial-mesenchymal transition, pancreatic ductal adenocarcinoma, nutritional stress, metabolic stress, MEK/ERK signaling, ATF4, metastasis, cell motility, tumor progression
- MeSH terms
- Snail Family Transcription Factors, Adenocarcinoma, Animals, Cell Movement, Cell Survival, Glutamine, Humans, Mice, Inbred C57BL, Neoplasm Metastasis, Pancreatic Neoplasms, RNA, Messenger, Stress, Physiological, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, MAP Kinase Signaling System, Carcinoma, Pancreatic Ductal, Cell Line, Tumor, Activating Transcription Factor 4, HEK293 Cells, Epithelial-Mesenchymal Transition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
