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  1. Article: SETD2 regulates the methylation of translation elongation factor eEF1A1 in clear cell renal cell carcinoma.

    Hapke, Robert / Venton, Lindsay / Rose, Kristie Lindsay / Sheng, Quanhu / Reddy, Anupama / Prather, Rebecca / Jones, Angela / Rathmell, W Kimryn / Haake, Scott M

    Kidney cancer journal : official journal of the Kidney Cancer Association

    2022  Volume 6, Issue 3, Page(s) 179–193

    Abstract: Background: SET domain-containing protein 2 (: Objective: Initially, we sought to explore SETD2-dependent changes in lysine methylation of proteins in proximal renal tubule cells. Subsequently, we focused on changes in lysine methylation of the ... ...

    Abstract Background: SET domain-containing protein 2 (
    Objective: Initially, we sought to explore SETD2-dependent changes in lysine methylation of proteins in proximal renal tubule cells. Subsequently, we focused on changes in lysine methylation of the translation elongation factor eEF1A1.
    Methods: To accomplish these objectives, we initially performed a systems-wide analysis of protein lysine-methylation and expression in wild type (WT) and
    Results: We observed decreased lysine methylation of the translation elongation factor eEF1A1.
    Conclusion: Overall, these data suggest that
    Language English
    Publishing date 2022-11-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2244563-8
    ISSN 1933-0871 ; 1933-0863
    ISSN (online) 1933-0871
    ISSN 1933-0863
    DOI 10.3233/kca-220009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A Novel Class of Ribosome Modulating Agents Exploits Cancer Ribosome Heterogeneity to Selectively Target the CMS2 Subtype of Colorectal Cancer.

    Terzo, Esteban / Apte, Shruti A / Padhye, Simran / Rashed, Saleh / Austin, Wesley / Caponegro, Michael / Reddy, Anupama / Shi, Shuhao / Wang, Christy / Clark, Roger B / Sidransky, David / Modur, Vijay / Badarinarayana, Vasudeo

    Cancer research communications

    2023  Volume 3, Issue 6, Page(s) 969–979

    Abstract: Ribosomes in cancer cells accumulate numerous patient-specific structural and functional modifications that facilitate tumor progression by modifying protein translation. We have taken a unique synthetic chemistry approach to generate novel macrolides, ... ...

    Abstract Ribosomes in cancer cells accumulate numerous patient-specific structural and functional modifications that facilitate tumor progression by modifying protein translation. We have taken a unique synthetic chemistry approach to generate novel macrolides, Ribosome modulating agents (RMA), that are proposed to act distal to catalytic sites and exploit cancer ribosome heterogeneity. The RMA ZKN-157 shows two levels of selectivity: (i) selective translation inhibition of a subset of proteins enriched for components of the ribosome and protein translation machinery that are upregulated by MYC; and (ii) selective inhibition of proliferation of a subset of colorectal cancer cell lines. Mechanistically, the selective ribosome targeting in sensitive cells triggered cell-cycle arrest and apoptosis. Consequently, in colorectal cancer, sensitivity to ZKN-157 in cell lines and patient-derived organoids was restricted to the consensus molecular subtype 2 (CMS2) subtype that is distinguished by high MYC and WNT pathway activity. ZKN-157 showed efficacy as single agent and, the potency and efficacy of ZKN-157 synergized with clinically approved DNA-intercalating agents which have previously been shown to inhibit ribogenesis as well. ZKN-157 thus represents a new class of ribosome modulators that display cancer selectivity through specific ribosome inhibition in the CMS2 subtype of colorectal cancer potentially targeting MYC-driven addiction to high protein translation.
    Significance: This study demonstrates that ribosome heterogeneity in cancer can be exploited to develop selective ribogenesis inhibitors. The colorectal cancer CMS2 subtype, with a high unmet need for therapeutics, shows vulnerability to our novel selective ribosome modulator. The mechanism suggests that other cancer subtypes with high MYC activation could also be targeted.
    MeSH term(s) Humans ; Colorectal Neoplasms/drug therapy ; Colorectal Neoplasms/genetics ; Colorectal Neoplasms/pathology ; Protein Biosynthesis ; Ribosomes/genetics ; Ribosomes/metabolism ; Cell Cycle Checkpoints
    Language English
    Publishing date 2023-06-05
    Publishing country United States
    Document type Journal Article
    ISSN 2767-9764
    ISSN (online) 2767-9764
    DOI 10.1158/2767-9764.CRC-22-0469
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Integrative modeling of multi-omics data to identify cancer drivers and infer patient-specific gene activity.

    Pavel, Ana B / Sonkin, Dmitriy / Reddy, Anupama

    BMC systems biology

    2016  Volume 10, Page(s) 16

    Abstract: Background: High throughput technologies have been used to profile genes in multiple different dimensions, such as genetic variation, copy number, gene and protein expression, epigenetics, metabolomics. Computational analyses often treat these different ...

    Abstract Background: High throughput technologies have been used to profile genes in multiple different dimensions, such as genetic variation, copy number, gene and protein expression, epigenetics, metabolomics. Computational analyses often treat these different data types as independent, leading to an explosion in the number of features making studies under-powered and more importantly do not provide a comprehensive view of the gene's state. We sought to infer gene activity by integrating different dimensions using biological knowledge of oncogenes and tumor suppressors.
    Results: This paper proposes an integrative model of oncogene and tumor suppressor activity in cells which is used to identify cancer drivers and compute patient-specific gene activity scores. We have developed a Fuzzy Logic Modeling (FLM) framework to incorporate biological knowledge with multi-omics data such as somatic mutation, gene expression and copy number measurements. The advantage of using a fuzzy logic approach is to abstract meaningful biological rules from low-level numerical data. Biological knowledge is often qualitative, thus combining it with quantitative numerical measurements may leverage new biological insights about a gene's state. We show that the oncogenic and altered tumor suppressing state of a gene can be better characterized by integrating different molecular measurements with biological knowledge than by each data type alone. We validate the gene activity score using data from the Cancer Cell Line Encyclopedia and drug sensitivity data for five compounds: BYL719 (PIK3CA inhibitor), PLX4720 (BRAF inhibitor), AZD6244 (MEK inhibitor), Erlotinib (EGFR inhibitor), and Nutlin-3 (MDM2 inhibitor). The integrative score improves prediction of drug sensitivity for the known drug targets of these compounds compared to each data type alone. The gene activity scores are also used to cluster colorectal cancer cell lines. Two subtypes of CRCs were found and potential cancer drivers and therapeutic targets for each of the subtypes were identified.
    Conclusions: We propose a fuzzy logic based approach to infer gene activity in cancer by integrating numerical data with descriptive biological knowledge. We compute general patient-specific gene-level scores useful to determine the oncogenic or tumor suppressor status of cancer gene drivers and to cluster or classify patients.
    MeSH term(s) Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Cell Line, Tumor ; Colorectal Neoplasms/drug therapy ; Colorectal Neoplasms/genetics ; Computational Biology/methods ; Fuzzy Logic ; Gene Dosage ; Gene Expression Profiling ; Humans ; Models, Biological ; Mutation ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/pathology ; Oncogenes/genetics ; Tumor Suppressor Proteins/genetics
    Chemical Substances Antineoplastic Agents ; Tumor Suppressor Proteins
    Language English
    Publishing date 2016-02-11
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1752-0509
    ISSN (online) 1752-0509
    DOI 10.1186/s12918-016-0260-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: 30-Year Review of Pediatric- and Adult-Onset CVID: Clinical Correlates and Prognostic Indicators.

    Baloh, Carolyn / Reddy, Anupama / Henson, Michele / Prince, Katherine / Buckley, Rebecca / Lugar, Patricia

    Journal of clinical immunology

    2019  Volume 39, Issue 7, Page(s) 678–687

    Abstract: Purpose: To evaluate mortality risk factors in pediatric-onset common variable immunodeficiency disorders (CVID), we evaluated the largest single-institution cohort of pediatric-onset CVID patients. Previous publications on CVID have provided valuable ... ...

    Abstract Purpose: To evaluate mortality risk factors in pediatric-onset common variable immunodeficiency disorders (CVID), we evaluated the largest single-institution cohort of pediatric-onset CVID patients. Previous publications on CVID have provided valuable descriptive data, but lack risk stratification to guide physicians in management of these patients.
    Methods: Retrospective chart review of 198 subjects with CVID at a single institution, of whom 91 had disease onset at a pediatric age. Clinical and laboratory data were collected at diagnosis and in follow-up. Odds ratios and Fisher tests were utilized to examine trends. This study was approved by an institutional review board.
    Results: Clinical features and laboratory results for subjects diagnosed with CVID at a pediatric age are similar to those who had adult-onset CVID. However, majority of the deceased subjects (13/18) were at a pediatric age at CVID symptom onset. These subjects had a lower age at mortality, multiple comorbidities, and often depression. The most common cause of death was infection. Lung disease (OR 5, p < 0.05) and infection with severe/opportunistic organisms (OR 9, p < 0.05) are directly related to increased mortality. Delay in diagnosis of CVID is also correlated with mortality. Intermediary markers correlating with mortality include anemia, GERD, and depression.
    Conclusions: There are many similarities between patients with pediatric- and adult-onset CVID; however, the mortality of pediatric CVID in our cohort is striking. This is the first study to identify specific factors correlated with mortality in pediatric-onset CVID to guide pediatricians and subspecialists in managing these immunodeficient patients.
    MeSH term(s) Adolescent ; Adult ; Age of Onset ; Child ; Common Variable Immunodeficiency/diagnosis ; Common Variable Immunodeficiency/epidemiology ; Common Variable Immunodeficiency/etiology ; Common Variable Immunodeficiency/mortality ; Comorbidity ; Delayed Diagnosis ; Disease Susceptibility ; Female ; Humans ; Kaplan-Meier Estimate ; Male ; Mortality ; Odds Ratio ; Phenotype ; Prognosis ; Young Adult
    Language English
    Publishing date 2019-08-03
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 779361-3
    ISSN 1573-2592 ; 0271-9142
    ISSN (online) 1573-2592
    ISSN 0271-9142
    DOI 10.1007/s10875-019-00674-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Phase Ib Study of Ulixertinib Plus Gemcitabine and Nab-Paclitaxel in Patients with Metastatic Pancreatic Adenocarcinoma.

    Grierson, Patrick M / Tan, Benjamin / Pedersen, Katrina S / Park, Haeseong / Suresh, Rama / Amin, Manik A / Trikalinos, Nikolaos A / Knoerzer, Deborah / Kreider, Brent / Reddy, Anupama / Liu, Jingxia / Der, Channing J / Wang-Gillam, Andrea / Lim, Kian-Huat

    The oncologist

    2022  Volume 28, Issue 2, Page(s) e115–e123

    Abstract: Background: Ulixertinib is a novel oral ERK inhibitor that has shown promising single-agent activity in a phase I clinical trial that included patients with RAS-mutant cancers.: Methods: We conducted a phase Ib trial combining ulixertinib with ... ...

    Abstract Background: Ulixertinib is a novel oral ERK inhibitor that has shown promising single-agent activity in a phase I clinical trial that included patients with RAS-mutant cancers.
    Methods: We conducted a phase Ib trial combining ulixertinib with gemcitabine and nab-paclitaxel (GnP) for untreated metastatic pancreatic adenocarcinoma. The trial comprised a dose de-escalation part and a cohort expansion part at the recommended phase II dose (RP2D). Primary endpoint was to determine the RP2D of ulixertinib plus GnP and secondary endpoints were to assess toxicity and safety profile, biochemical and radiographic response, progression-free survival (PFS) and overall survival (OS).
    Results: Eighteen patients were enrolled. Ulixertinib 600 mg PO twice daily (BID) with GnP was initially administered but was de-escalated to 450 mg BID as RP2D early during dose expansion due to poor tolerability, which ultimately led to premature termination of the study. Common treatment-related adverse events (TRAEs) were anemia, thrombocytopenia, rash and diarrhea. For 5 response evaluable patients, one patient achieved a partial response and 2 patients achieved stable disease. For 15 patients who received the triplet, median PFS and OS were 5.46 and 12.23 months, respectively.
    Conclusion: Ulixertinib plus GnP had similar frequency of grade ≥3 TRAEs and potentially efficacy as GnP, however was complicated by a high rate of all-grade TRAEs (ClinicalTrials.gov Identifier: NCT02608229).
    MeSH term(s) Humans ; Gemcitabine ; Pancreatic Neoplasms/drug therapy ; Pancreatic Neoplasms/pathology ; Deoxycytidine ; Adenocarcinoma/drug therapy ; Adenocarcinoma/pathology ; Paclitaxel ; Albumins/adverse effects ; Antineoplastic Combined Chemotherapy Protocols/adverse effects ; Treatment Outcome
    Chemical Substances Gemcitabine ; 130-nm albumin-bound paclitaxel ; ulixertinib (16ZDH50O1U) ; Deoxycytidine (0W860991D6) ; Paclitaxel (P88XT4IS4D) ; Albumins
    Language English
    Publishing date 2022-11-26
    Publishing country England
    Document type Clinical Trial, Phase I ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1409038-7
    ISSN 1549-490X ; 1083-7159
    ISSN (online) 1549-490X
    ISSN 1083-7159
    DOI 10.1093/oncolo/oyac237
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  6. Article ; Online: Logical analysis of survival data: prognostic survival models by detecting high-degree interactions in right-censored data.

    Kronek, Louis-Philippe / Reddy, Anupama

    Bioinformatics (Oxford, England)

    2008  Volume 24, Issue 16, Page(s) i248–53

    Abstract: Motivation: Survival analysis involves predicting the time to event for patients in a dataset, based on a set of recorded attributes. In this study we focus on right-censored survival problems. Detecting high-degree interactions for the estimation of ... ...

    Abstract Motivation: Survival analysis involves predicting the time to event for patients in a dataset, based on a set of recorded attributes. In this study we focus on right-censored survival problems. Detecting high-degree interactions for the estimation of survival probability is a challenging problem in survival analysis from the statistical perspective.
    Results: We propose a new methodology, Logical Analysis of Survival Data (LASD), to identify interactions between variables (survival patterns) without any prior hypotheses. Using these set of patterns, we predict survival distributions for each observation. To evaluate LASD we select two publicly available datasets: a lung adenocarcinoma dataset (gene-expression pro.les) and the other a breast cancer dataset (clinical pro.les). The performance of LASD when compared with survival decision trees improves the cross-validation accuracy by 18% for the gene-expression dataset, and by 2% for the clinical dataset.
    Availability: Executable codes will be provided upon request.
    MeSH term(s) Bias ; Computer Simulation ; Data Interpretation, Statistical ; Logistic Models ; Prognosis ; Proportional Hazards Models ; Survival Analysis ; Survival Rate
    Language English
    Publishing date 2008-08-15
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btn265
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  7. Article: Id Proteins Suppress E2A-Driven Invariant Natural Killer T Cell Development prior to TCR Selection.

    Roy, Sumedha / Moore, Amanda J / Love, Cassandra / Reddy, Anupama / Rajagopalan, Deepthi / Dave, Sandeep S / Li, Leping / Murre, Cornelis / Zhuang, Yuan

    Frontiers in immunology

    2018  Volume 9, Page(s) 42

    Abstract: A family of transcription factors known as E proteins, and their antagonists, Id proteins, regulate T cell differentiation at critical developmental checkpoints. Id proteins promote the differentiation of conventional αβ T cells and suppress the ... ...

    Abstract A family of transcription factors known as E proteins, and their antagonists, Id proteins, regulate T cell differentiation at critical developmental checkpoints. Id proteins promote the differentiation of conventional αβ T cells and suppress the expansion of innate-like αβ T cells known as invariant natural killer T (iNKT) cells. However, it remains to be determined whether Id proteins differentially regulate these distinct lineage choices in early stages of T cell development. In this manuscript, we report that in Id-deficient mice, uninhibited activity of the E protein family member E2A mediates activation of genes that support iNKT cell development and function. There is also biased rearrangement in Id-deficient DP cells that promotes selection into the iNKT lineage in these mice. The observed expansion of iNKT cells is not abrogated by blocking pre-TCR signaling, which is required for conventional αβ T cell development. Finally, E2A is found to be a key transcriptional regulator of both iNKT and γδNKT lineages, which appear to have shared lineage history. Therefore, our study reveals a previously unappreciated role of E2A in coordinating the development of the iNKT lineage at an early stage, prior to their TCR-mediated selection alongside conventional αβ T cells.
    MeSH term(s) Animals ; Basic Helix-Loop-Helix Transcription Factors/physiology ; Cell Differentiation ; Inhibitor of Differentiation Proteins/physiology ; Mice, Knockout ; Natural Killer T-Cells/physiology ; Receptors, Antigen, T-Cell/physiology
    Chemical Substances Basic Helix-Loop-Helix Transcription Factors ; Inhibitor of Differentiation Proteins ; Receptors, Antigen, T-Cell ; Tcf3 protein, mouse
    Language English
    Publishing date 2018-01-24
    Publishing country Switzerland
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2606827-8
    ISSN 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2018.00042
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  8. Article ; Online: Growth and nutritional status at corrected term gestational age in very low birth weight infants.

    Jaiswal, Ashish / Reddy, Anupama / Gaddam, Pramod / Murki, Srinivas

    Indian journal of pediatrics

    2011  Volume 78, Issue 6, Page(s) 673–678

    Abstract: Objective: To evaluate the growth and nutritional status at term (39-41 weeks) corrected gestational age in VLBW infants and to study the predictors of malnutrition.: Methods: This Cross-sectional study was conducted in a tertiary care perinatal ... ...

    Abstract Objective: To evaluate the growth and nutritional status at term (39-41 weeks) corrected gestational age in VLBW infants and to study the predictors of malnutrition.
    Methods: This Cross-sectional study was conducted in a tertiary care perinatal centre with level III NICU. All Inborn VLBW infants who were discharged alive from the hospital during the study period from January 2008 through June 2009 were included in this study. Relevant perinatal, clinical and anthropometry data were collected at birth, at hospital discharge and at term gestation. Primary outcome was considered as Z scores of weight, occipitofrontal circumference, length and predictors of postnatal malnutrition (z-score for weight ≤2SD) at term gestation.
    Results: The mean gestational age and the mean birth weight of study subjects were 31.03 ± 2.18 weeks and 1195.28 ± 191.25 g respectively. Twenty-six (15%) infants had birth weight less than 1,000 g and 65 (37.4%) infants were of gestation less than 31 weeks. The mean weight, the mean length and mean occipitofrontal circumference (OFC) at term gestation were 2367.32 ± 521 g, 43.72 ± 3.3 cm and 32.65 ± 1.6 cm respectively. The mean z scores for weight, length and OFC at term gestation was -1.66 ± 1.2, -1.98 ± 1.3 and -0.48 ± 0.7 respectively. Forty three percent (n = 75) infants were malnourished. Birth weight (p = 0.005), gestational age (p = 0.001), z-score at birth (p = 0.001), female sex (p = 0.004), duration of oxygen (p = 0.008), duration of hospitalization (p = 0.005) and average post discharge weight gain per day (p < 0.001) predicted malnutrition.
    Conclusions: There is a high prevalence of postnatal malnutrition in VLBW infants. Poor intrauterine growth, female sex, lower birth weight, lower gestation, infant sickness and poor post-discharge weight gain contribute significantly to postnatal malnutrition.
    MeSH term(s) Cross-Sectional Studies ; Female ; Gestational Age ; Humans ; Infant, Newborn ; Infant, Very Low Birth Weight/growth & development ; Infant, Very Low Birth Weight/physiology ; Male ; Malnutrition/epidemiology ; Nutritional Status ; Prevalence ; Risk Factors
    Language English
    Publishing date 2011-01-19
    Publishing country India
    Document type Journal Article
    ZDB-ID 218231-2
    ISSN 0973-7693 ; 0019-5456
    ISSN (online) 0973-7693
    ISSN 0019-5456
    DOI 10.1007/s12098-010-0347-z
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  9. Article ; Online: Non-Hodgkin Lymphomas: Malignancies Arising from Mature B Cells.

    Shingleton, Jennifer / Wang, Jie / Baloh, Carolyn / Dave, Tushar / Davis, Nicholas / Happ, Lanie / Jadi, Othmane / Kositsky, Rachel / Li, Xiang / Love, Cassandra / Panea, Razvan / Qin, Qiu / Reddy, Anupama / Singhi, Naina / Smith, Eileen / Thakkar, Devang / Dave, Sandeep S

    Cold Spring Harbor perspectives in medicine

    2021  Volume 11, Issue 3

    Abstract: Non-Hodgkin lymphomas (NHLs) are a diverse group of entities, both clinically and molecularly. Here, we review the evolution of classification schemes in B-cell lymphoma, noting the now standard WHO classification system that is based on immune cell-of- ... ...

    Abstract Non-Hodgkin lymphomas (NHLs) are a diverse group of entities, both clinically and molecularly. Here, we review the evolution of classification schemes in B-cell lymphoma, noting the now standard WHO classification system that is based on immune cell-of-origin and molecular phenotypes. We review how lymphomas arise throughout the B-cell development process as well as the molecular and clinical features of prominent B-cell lymphomas. We provide an overview of the major progress that has occurred over the past decade in terms of our molecular understanding of these diseases. We discuss treatment options available and focus on a number of the diverse research tools that have been employed to improve our understanding of these diseases. We discuss the problem of heterogeneity in lymphomas and anticipate that the near future will bring significant advances that provide a measurable impact on NHL outcomes.
    MeSH term(s) B-Lymphocytes/pathology ; Humans ; Lymphoma, B-Cell/classification ; Lymphoma, B-Cell/therapy ; Lymphoma, Non-Hodgkin/classification ; Lymphoma, Non-Hodgkin/therapy ; World Health Organization
    Language English
    Publishing date 2021-03-01
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ISSN 2157-1422
    ISSN (online) 2157-1422
    DOI 10.1101/cshperspect.a034843
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  10. Article ; Online: Ligand-independent integrin β1 signaling supports lung adenocarcinoma development.

    Haake, Scott M / Plosa, Erin J / Kropski, Jonathan A / Venton, Lindsay A / Reddy, Anupama / Bock, Fabian / Chang, Betty T / Luna, Allen J / Nabukhotna, Kateryna / Xu, Zhi-Qi / Prather, Rebecca A / Lee, Sharon / Tanjore, Harikrishna / Polosukhin, Vasiliy V / Viquez, Olga M / Jones, Angela / Luo, Wentian / Wilson, Matthew H / Rathmell, W Kimryn /
    Massion, Pierre P / Pozzi, Ambra / Blackwell, Timothy S / Zent, Roy

    JCI insight

    2022  Volume 7, Issue 15

    Abstract: Integrins - the principal extracellular matrix (ECM) receptors of the cell - promote cell adhesion, migration, and proliferation, which are key events for cancer growth and metastasis. To date, most integrin-targeted cancer therapeutics have disrupted ... ...

    Abstract Integrins - the principal extracellular matrix (ECM) receptors of the cell - promote cell adhesion, migration, and proliferation, which are key events for cancer growth and metastasis. To date, most integrin-targeted cancer therapeutics have disrupted integrin-ECM interactions, which are viewed as critical for integrin functions. However, such agents have failed to improve cancer patient outcomes. We show that the highly expressed integrin β1 subunit is required for lung adenocarcinoma development in a carcinogen-induced mouse model. Likewise, human lung adenocarcinoma cell lines with integrin β1 deletion failed to form colonies in soft agar and tumors in mice. Mechanistically, we demonstrate that these effects do not require integrin β1-mediated adhesion to ECM but are dependent on integrin β1 cytoplasmic tail-mediated activation of focal adhesion kinase (FAK). These studies support a critical role for integrin β1 in lung tumorigenesis that is mediated through constitutive, ECM binding-independent signaling involving the cytoplasmic tail.
    MeSH term(s) Adenocarcinoma/genetics ; Adenocarcinoma of Lung/genetics ; Animals ; Humans ; Integrin beta1/genetics ; Integrin beta1/metabolism ; Integrins ; Ligands ; Lung Neoplasms/pathology ; Mice
    Chemical Substances Integrin beta1 ; Integrins ; Ligands
    Language English
    Publishing date 2022-08-08
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ISSN 2379-3708
    ISSN (online) 2379-3708
    DOI 10.1172/jci.insight.154098
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