cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27110142
title: Prognostic significance of FAT10 expression in malignant tumors: a systematic review and meta-analysis

description: <b>Aim:</b> FAT10, a ubiquitin-like modifier protein, influences apoptosis, DNA damage response and tumor growth, with unclear effects on cancer prognosis. <b>Methods:</b> We reviewed <i>FAT10</i> expression's impact on malignancy prognosis through a systematic review and meta-analysis, including studies up to September 2023 from PubMed, EMBASE and Web of Science. <b>Results:</b> From 18 studies involving 2513 patients, <i>FAT10</i> overexpression significantly reduced overall and disease-free survival across various tumors, indicating correlations with advanced disease stage, poor differentiation, lymph node metastasis and larger tumor size. <b>Conclusion:</b><i>FAT10</i>‘s overexpression suggests a negative prognostic value in cancer, meriting further investigation. <b>PROSPERO Registration Number:</b> CRD42023431287 This study investigated a protein called FAT10, which is involved in how cells behave, including how cancer cells grow and survive. It analyzed previous research to see if high levels of FAT10 in patients with cancer can help predict how serious their cancer is and how it might progress. After reviewing 18 studies involving 2513 patients, we found that patients with more FAT10 in their cells often had a worse outlook, including a higher chance of the cancer returning and a shorter overall survival time. This pattern existed for different types of cancer. Our findings suggest that measuring FAT10 levels could be helpful for doctors to better understand a patient's cancer and choose the best treatment. However, more studies are needed to confirm our results. FAT10, a ubiquitin-like modifier protein, is implicated in apoptosis, the DNA damage response and tumor development, with its overexpression found in various malignancies. This systematic review and meta-analysis aggregated data from published studies on the prognostic significance of FAT10 in malignant tumors, focusing on overall survival (OS) and disease-free survival (DFS). This study included 18 studies with 2513 patients, showing <i>FAT10</i> overexpression correlated with poor OS (HR: 1.85) and DFS (HR: 2.63). Subgroup analyses across tumor types confirmed the consistent negative effect of <i>FAT10</i> overexpression on survival outcomes. <i>FAT10</i> overexpression also correlated with advanced TNM stage, differentiation grade, lymph node metastasis and tumor size. The meta-analysis found that <i>FAT10</i> could be a negative prognostic biomarker in malignant tumors and help predict patient outcomes and guide targeted therapy. This study had some limitations, including a focus on a limited number of cancer types and the inclusion of mostly retrospective studies from mainland China, which could affect the generalizability of its findings.
DOI: 10.6084/m9.figshare.27110142.v1
title: Prognostic significance of FAT10 expression in malignant tumors: a systematic review and meta-analysis

description: <b>Aim:</b> FAT10, a ubiquitin-like modifier protein, influences apoptosis, DNA damage response and tumor growth, with unclear effects on cancer prognosis. <b>Methods:</b> We reviewed <i>FAT10</i> expression's impact on malignancy prognosis through a systematic review and meta-analysis, including studies up to September 2023 from PubMed, EMBASE and Web of Science. <b>Results:</b> From 18 studies involving 2513 patients, <i>FAT10</i> overexpression significantly reduced overall and disease-free survival across various tumors, indicating correlations with advanced disease stage, poor differentiation, lymph node metastasis and larger tumor size. <b>Conclusion:</b><i>FAT10</i>‘s overexpression suggests a negative prognostic value in cancer, meriting further investigation. <b>PROSPERO Registration Number:</b> CRD42023431287 This study investigated a protein called FAT10, which is involved in how cells behave, including how cancer cells grow and survive. It analyzed previous research to see if high levels of FAT10 in patients with cancer can help predict how serious their cancer is and how it might progress. After reviewing 18 studies involving 2513 patients, we found that patients with more FAT10 in their cells often had a worse outlook, including a higher chance of the cancer returning and a shorter overall survival time. This pattern existed for different types of cancer. Our findings suggest that measuring FAT10 levels could be helpful for doctors to better understand a patient's cancer and choose the best treatment. However, more studies are needed to confirm our results. FAT10, a ubiquitin-like modifier protein, is implicated in apoptosis, the DNA damage response and tumor development, with its overexpression found in various malignancies. This systematic review and meta-analysis aggregated data from published studies on the prognostic significance of FAT10 in malignant tumors, focusing on overall survival (OS) and disease-free survival (DFS). This study included 18 studies with 2513 patients, showing <i>FAT10</i> overexpression correlated with poor OS (HR: 1.85) and DFS (HR: 2.63). Subgroup analyses across tumor types confirmed the consistent negative effect of <i>FAT10</i> overexpression on survival outcomes. <i>FAT10</i> overexpression also correlated with advanced TNM stage, differentiation grade, lymph node metastasis and tumor size. The meta-analysis found that <i>FAT10</i> could be a negative prognostic biomarker in malignant tumors and help predict patient outcomes and guide targeted therapy. This study had some limitations, including a focus on a limited number of cancer types and the inclusion of mostly retrospective studies from mainland China, which could affect the generalizability of its findings.
DOI: 10.6084/m9.figshare.27110245
title: Analyses of tumor microenvironment in patients with advanced renal cell carcinoma receiving immunotherapy (Meet-URO 18 study)

description: <b>Introduction:</b> The Meet-URO 18 study is a multicentric study of patients with metastatic renal cell carcinoma receiving nivolumab in the second-line and beyond, categorized as <i>responders</i> (progression-free survival ≥ 12 months) and <i>non-responders</i> (progression-free survival &lt; 3 months). <b>Areas covered:</b> The current study includes extensive immunohistochemical analysis of T-lineage markers (CD3, CD4, CD8, CD8/CD4 ratio), macrophages (CD68), ph-mTOR, CD15 and CD56 expression on tumor cells, and PD-L1 expression, on an increased sample size including 161 tumor samples (113 patients) compared with preliminary presented data. <i>Responders</i>‘ tumor tissue (n = 90; 55.9%) was associated with lower CD4 expression (<i>p</i> = 0.014), higher CD56 expression (<i>p</i> = 0.046) and higher CD8/CD4 ratio (<i>p</i> = 0.030). <b>Expert opinion/commentary:</b> The present work suggests the regulatory role of a subpopulation of T cells on antitumor response and identifies CD56 as a putative biomarker of immunotherapy efficacy. There is a critical lack of predictive biomarkers for patients with metastatic renal cell carcinoma receiving immunotherapy, therefore the identification of patients likely to benefit from this treatment represents a pressing clinical challenge. The Meet-URO 18 study is a multicentric, retrospective, translational study that delves into the immune tumor microenvironment (I-TME) of patients with metastatic renal cell carcinoma receiving nivolumab in the second-line or beyond. Patients were categorized as <i>responders</i> (progression-free survival ≥ 12 months) and <i>non-responders</i> (progression-free survival &lt; 3 months). Digital multitarget immunohistochemical analyses were performed on the I-TME of tumor samples of primary tumors or metastases. Primary analyses revealed that <i>responders</i> exhibited lower CD4 expression and higher levels of phosphorylated mTOR and CD56. Further extensive analysis of the I-TME focused on T-lineage markers (CD3, CD4, CD8, CD8/CD4 ratio), macrophages (CD68), ph-mTOR, CD15 and CD56 expression assessed on tumor cells, and PD-L1 expression (SP263) assessed on both tumor and immune cells. <i>Responders</i> tumor tissue showed significantly lower CD4 expression, higher CD56 expression and a higher CD8/CD4 ratio compared with <i>non-responders</i>. Other parameters, including PD-L1 expression, did not reach statistical significance. This secondary analysis highlights the emerging significance of CD56 as a putative biomarker for immunotherapy, suggesting a critical role for regulatory CD4<sup>+</sup> cells over cytotoxic CD8<sup>+</sup> cells.
DOI: 10.6084/m9.figshare.27110245.v1
title: Analyses of tumor microenvironment in patients with advanced renal cell carcinoma receiving immunotherapy (Meet-URO 18 study)

description: <b>Introduction:</b> The Meet-URO 18 study is a multicentric study of patients with metastatic renal cell carcinoma receiving nivolumab in the second-line and beyond, categorized as <i>responders</i> (progression-free survival ≥ 12 months) and <i>non-responders</i> (progression-free survival &lt; 3 months). <b>Areas covered:</b> The current study includes extensive immunohistochemical analysis of T-lineage markers (CD3, CD4, CD8, CD8/CD4 ratio), macrophages (CD68), ph-mTOR, CD15 and CD56 expression on tumor cells, and PD-L1 expression, on an increased sample size including 161 tumor samples (113 patients) compared with preliminary presented data. <i>Responders</i>‘ tumor tissue (n = 90; 55.9%) was associated with lower CD4 expression (<i>p</i> = 0.014), higher CD56 expression (<i>p</i> = 0.046) and higher CD8/CD4 ratio (<i>p</i> = 0.030). <b>Expert opinion/commentary:</b> The present work suggests the regulatory role of a subpopulation of T cells on antitumor response and identifies CD56 as a putative biomarker of immunotherapy efficacy. There is a critical lack of predictive biomarkers for patients with metastatic renal cell carcinoma receiving immunotherapy, therefore the identification of patients likely to benefit from this treatment represents a pressing clinical challenge. The Meet-URO 18 study is a multicentric, retrospective, translational study that delves into the immune tumor microenvironment (I-TME) of patients with metastatic renal cell carcinoma receiving nivolumab in the second-line or beyond. Patients were categorized as <i>responders</i> (progression-free survival ≥ 12 months) and <i>non-responders</i> (progression-free survival &lt; 3 months). Digital multitarget immunohistochemical analyses were performed on the I-TME of tumor samples of primary tumors or metastases. Primary analyses revealed that <i>responders</i> exhibited lower CD4 expression and higher levels of phosphorylated mTOR and CD56. Further extensive analysis of the I-TME focused on T-lineage markers (CD3, CD4, CD8, CD8/CD4 ratio), macrophages (CD68), ph-mTOR, CD15 and CD56 expression assessed on tumor cells, and PD-L1 expression (SP263) assessed on both tumor and immune cells. <i>Responders</i> tumor tissue showed significantly lower CD4 expression, higher CD56 expression and a higher CD8/CD4 ratio compared with <i>non-responders</i>. Other parameters, including PD-L1 expression, did not reach statistical significance. This secondary analysis highlights the emerging significance of CD56 as a putative biomarker for immunotherapy, suggesting a critical role for regulatory CD4<sup>+</sup> cells over cytotoxic CD8<sup>+</sup> cells.
DOI: 10.6084/m9.figshare.26343471
title: Evaluating Salinity Tolerance of Pomegranate Cultivars Using Subordinate Function Analysis and Machine Learning

description: The application of machine learning in salinity tolerance evaluation studies is limited. To address this gap, a pot culture experiment was conducted with six pomegranate cultivars at Punjab Agricultural University Ludhiana, India, in 2020 and 2021. The data were subjected to subordinated function analysis (SFA), random forest regression (RFR), support vector regression (SVR) and general linear modeling (GLM) after 60 and 120 days of first saline water treatment. The SFA identified ‘Bhagwa’ as the most salt tolerant cultivar, followed by ‘Wonderful.’ The RFR highlighted leaf K, catalase activity, and relative growth rate (RGR) as key parameters influencing salinity tolerance of the tested cultivars after 60 days. The SVR demonstrated root S content and net assimilation rate as critical factors. After 120 days, both RFR and SVR identified stomatal conductance and relative growth rate as crucial markers displaying salinity tolerance of cultivars. Both RFR and SVR showed high predictive accuracy, especially after 120 days, compared to GLM. However, GLM provided a broader set of variables for a better understanding of the underlying mechanism across different time intervals. Therefore, this research emphasizes the importance of using both machine learning techniques and traditional statistical approaches to gain a deeper understanding of the subject.
DOI: 10.6084/m9.figshare.26343471.v1
title: Evaluating Salinity Tolerance of Pomegranate Cultivars Using Subordinate Function Analysis and Machine Learning

description: The application of machine learning in salinity tolerance evaluation studies is limited. To address this gap, a pot culture experiment was conducted with six pomegranate cultivars at Punjab Agricultural University Ludhiana, India, in 2020 and 2021. The data were subjected to subordinated function analysis (SFA), random forest regression (RFR), support vector regression (SVR) and general linear modeling (GLM) after 60 and 120 days of first saline water treatment. The SFA identified ‘Bhagwa’ as the most salt tolerant cultivar, followed by ‘Wonderful.’ The RFR highlighted leaf K, catalase activity, and relative growth rate (RGR) as key parameters influencing salinity tolerance of the tested cultivars after 60 days. The SVR demonstrated root S content and net assimilation rate as critical factors. After 120 days, both RFR and SVR identified stomatal conductance and relative growth rate as crucial markers displaying salinity tolerance of cultivars. Both RFR and SVR showed high predictive accuracy, especially after 120 days, compared to GLM. However, GLM provided a broader set of variables for a better understanding of the underlying mechanism across different time intervals. Therefore, this research emphasizes the importance of using both machine learning techniques and traditional statistical approaches to gain a deeper understanding of the subject.
DOI: 10.15468/dl.xq8pd9
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-74.70447 7.08442,-74.70552 7.07011,-74.68855 7.07124,-74.68608 7.07652,-74.69575 7.08841,-74.70447 7.08442))"
 ]
}

 The dataset includes 516 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031643-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpmswq
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Pternopetalum subalpinum Hand.-Mazz.)",
 {
 "or" : [
 "Country is China",
 "Country is Chinese Taipei"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031642-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcbve3
title: Occurrence Download

description: A dataset containing 1236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tamarix chinensis Lour."
 ]
}

 The dataset includes 1236 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031645-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60956/a7sg-zd43
title: Electrostimulation improves plant growth and modulates the flavonoid profile in aeroponic culture of Scutellaria baicalensis-Supplementary material

description: <p><span lang="EN-US" style="font-size:12pt;font-family:&#39;times new roman&#39; , serif">Figures represented growth and
development of <em>S. baicalensis</em> from particular
Groups 2 (E &#61; 1,75 kV/cm), </span><span lang="EN-US" style="font-size:12pt;font-family:&#39;times new roman&#39; , serif">3 (E &#61; 2,25 kV/cm), </span><span lang="EN-US" style="font-size:12pt;font-family:&#39;times new roman&#39; , serif">4 (E &#61; 3,0 kV/cm) and </span><span lang="EN-US" style="font-size:12pt;font-family:&#39;times new roman&#39; , serif">5 (E &#61; 5<strong>,</strong>0 kV/cm) </span><span lang="EN-US" style="font-size:12pt;font-family:&#39;times new roman&#39; , serif"> in 2-week intervals compared to a single specimen from
the Control group. </span></p>
DOI: 10.15468/dl.t6kgp5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Pternopetalum cartilagineum C.Y.Wu ex R.H.Shan & F.T.Pu)",
 {
 "or" : [
 "Country is China",
 "Country is Chinese Taipei"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031648-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x76ubu
title: Occurrence Download

description: A dataset containing 63783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Philaenus Stål, 1864"
 ]
}

 The dataset includes 63783 records from 557 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031644-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33msp3
title: Occurrence Download

description: A dataset containing 152806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.88559 52.46835,4.64039 52.38112,4.47692 52.1811,4.47011 51.89199,4.90603 51.71088,5.46455 51.65175,5.84598 51.83311,5.9141 52.0975,5.56672 52.38112,5.20572 52.39359,4.88559 52.46835))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3"
 ]
}

 The dataset includes 152806 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031632-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsyfs3
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sulawesi Onthophagus: seven new species in select groups (Coleoptera: Scarabaeidae: Scarabaeinae)"
 ]
}

 The dataset includes 29 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031649-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3kwqh
title: Occurrence Download

description: A dataset containing 29874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.37748 45.37544,7.06359 42.87242,9.97952 41.77337,7.57816 41.60258,10.66563 40.26363,14.78224 41.51701,13.69591 45.77564,6.37748 45.37544))",
 "HasCoordinate is true",
 "TaxonKey is Castanea Mill."
 ]
}

 The dataset includes 29874 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031646-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96znvm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-39.74975 30.93278,-3.26483 30.93278,-3.26483 50.29482,-39.74975 50.29482,-39.74975 30.93278))",
 "TaxonKey is Leptostomias longibarba Regan & Trewavas, 1930"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031650-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f7547
title: Occurrence Download

description: A dataset containing 7800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.4916 45.84198,6.87951 45.50466,7.24158 43.08644,9.41401 41.70501,11.64677 40.88895,14.12092 41.20752,15.08644 42.46633,12.4916 45.84198))",
 "HasCoordinate is true",
 "TaxonKey is Robinia L."
 ]
}

 The dataset includes 7800 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031651-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13840170
title: Neutron activation analysis data of pottery, clay, obsidian, and andesite from multiple sites in Argentina

description: Neutron activation analysis data of pottery, clay, obsidian, and andesite from multiple sites in Argentina and Chile
DOI: 10.5281/zenodo.13840171
title: Neutron activation analysis data of pottery, clay, obsidian, and andesite from multiple sites in Argentina

description: Neutron activation analysis data of pottery, clay, obsidian, and andesite from multiple sites in Argentina and Chile
DOI: 10.5281/zenodo.13843415
title: Neutron activation analysis data of pottery, clay, obsidian, and andesite from multiple sites in Argentina

description: Neutron activation analysis data of pottery, clay, obsidian, and andesite from multiple sites in Argentina and Chile
DOI: 10.5281/zenodo.13843276
title: DOM files for modeling bacterial interactions in the coastal lignin degrading consortium
DOI: 10.15468/dl.yh2vaz
title: Occurrence Download

description: A dataset listing the 3590 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.21.27_2)"
 ]
}

 The dataset's 3590 records were derived from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031633-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.