cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20231838
title: MKI67 is a potential biomarker for prostate cancer in diagnosis and prognosis based on two cohorts

description: Objective: To explore the efficacy of diagnosis and prognosis of the marker of proliferation Ki-67(MKI67) expression in prostate cancer (PCa). Methods: In cohort 1, the efficacy of diagnosis of MKI67 was evaluated by the Wilcoxon rank-sum test and ROC curve using the data from the TCGA database and GTEx database. Then the relationship between MKI67 expression and clinicopathological characteristics was analyzed through Wilcoxon rank-sum test. Next, the ability of prognosis of MKI67 expression for 1-Year, 2-Year, 3-Year of progress free interval (PFI) was assessed by the Kaplan-Meier method and time-ROC curve. In cohort 2, the diagnostic and prognostic power of MKI67 expression was further validated with data from 271 clinical PCa patients. Finally, a nomogram was created to predict 3-year PFI in BCR based on COX regression results. Results: In cohort 1, MKI67 expression correlated with PSA, Gleason Score, T stage, and N stage (p&lt;0.05). The ROC curve showed a strong ability to diagnose (AUC=0.844) and the Kaplan-Meier method demonstrated MKI67 expression was negatively associated with PFI (HR=1.91, p=0.003). And the time-ROC curve displayed the weak capability of prognosis (1-Year, AUC=0.672; 2-Year, AUC=0.624; 3-Year, AUC=0.613) of MKI67 in PCa. In cohort 2, MKI67 expression was significantly related to Gleason Score, T stage, and N stage (p&lt;0.05) while negatively associated with PFI (HR=9.23, p&lt;0.001). The time-ROC curve exhibited a stronger capability of prognosis (1-Year, AUC=0.868; 2-Year, AUC=0.857; 3-Year, AUC=0.874) of MKI67 in PCa. The multivariate analysis of COX regression was performed to select the risk factors, including PSA, N Stage, and MKI67 expression (p&lt;0.05). And a nomogram was established to predict the 3-Year PFI based on the outcomes. Conclusions: MKI67 expression was positively associated with Gleason Score, T stage, and N stage and showed a strong ability of diagnosis and prognosis of PFI of PCa.
DOI: 10.6084/m9.figshare.20231838.v1
title: MKI67 is a potential biomarker for prostate cancer in diagnosis and prognosis based on two cohorts

description: Objective: To explore the efficacy of diagnosis and prognosis of the marker of proliferation Ki-67(MKI67) expression in prostate cancer (PCa). Methods: In cohort 1, the efficacy of diagnosis of MKI67 was evaluated by the Wilcoxon rank-sum test and ROC curve using the data from the TCGA database and GTEx database. Then the relationship between MKI67 expression and clinicopathological characteristics was analyzed through Wilcoxon rank-sum test. Next, the ability of prognosis of MKI67 expression for 1-Year, 2-Year, 3-Year of progress free interval (PFI) was assessed by the Kaplan-Meier method and time-ROC curve. In cohort 2, the diagnostic and prognostic power of MKI67 expression was further validated with data from 271 clinical PCa patients. Finally, a nomogram was created to predict 3-year PFI in BCR based on COX regression results. Results: In cohort 1, MKI67 expression correlated with PSA, Gleason Score, T stage, and N stage (p&lt;0.05). The ROC curve showed a strong ability to diagnose (AUC=0.844) and the Kaplan-Meier method demonstrated MKI67 expression was negatively associated with PFI (HR=1.91, p=0.003). And the time-ROC curve displayed the weak capability of prognosis (1-Year, AUC=0.672; 2-Year, AUC=0.624; 3-Year, AUC=0.613) of MKI67 in PCa. In cohort 2, MKI67 expression was significantly related to Gleason Score, T stage, and N stage (p&lt;0.05) while negatively associated with PFI (HR=9.23, p&lt;0.001). The time-ROC curve exhibited a stronger capability of prognosis (1-Year, AUC=0.868; 2-Year, AUC=0.857; 3-Year, AUC=0.874) of MKI67 in PCa. The multivariate analysis of COX regression was performed to select the risk factors, including PSA, N Stage, and MKI67 expression (p&lt;0.05). And a nomogram was established to predict the 3-Year PFI based on the outcomes. Conclusions: MKI67 expression was positively associated with Gleason Score, T stage, and N stage and showed a strong ability of diagnosis and prognosis of PFI of PCa.
DOI: 10.6084/m9.figshare.20231838.v2
title: MKI67 is a potential biomarker for prostate cancer in diagnosis and prognosis based on two cohorts

description: Objective: To explore the efficacy of diagnosis and prognosis of the marker of proliferation Ki-67(MKI67) expression in prostate cancer (PCa). Methods: In cohort 1, the efficacy of diagnosis of MKI67 was evaluated by the Wilcoxon rank-sum test and ROC curve using the data from the TCGA database and GTEx database. Then the relationship between MKI67 expression and clinicopathological characteristics was analyzed through Wilcoxon rank-sum test. Next, the ability of prognosis of MKI67 expression for 1-Year, 2-Year, 3-Year of progress free interval (PFI) was assessed by the Kaplan-Meier method and time-ROC curve. In cohort 2, the diagnostic and prognostic power of MKI67 expression was further validated with data from 271 clinical PCa patients. Finally, a nomogram was created to predict 3-year PFI in BCR based on COX regression results. Results: In cohort 1, MKI67 expression correlated with PSA, Gleason Score, T stage, and N stage (p&lt;0.05). The ROC curve showed a strong ability to diagnose (AUC=0.844) and the Kaplan-Meier method demonstrated MKI67 expression was negatively associated with PFI (HR=1.91, p=0.003). And the time-ROC curve displayed the weak capability of prognosis (1-Year, AUC=0.672; 2-Year, AUC=0.624; 3-Year, AUC=0.613) of MKI67 in PCa. In cohort 2, MKI67 expression was significantly related to Gleason Score, T stage, and N stage (p&lt;0.05) while negatively associated with PFI (HR=9.23, p&lt;0.001). The time-ROC curve exhibited a stronger capability of prognosis (1-Year, AUC=0.868; 2-Year, AUC=0.857; 3-Year, AUC=0.874) of MKI67 in PCa. The multivariate analysis of COX regression was performed to select the risk factors, including PSA, N Stage, and MKI67 expression (p&lt;0.05). And a nomogram was established to predict the 3-Year PFI based on the outcomes. Conclusions: MKI67 expression was positively associated with Gleason Score, T stage, and N stage and showed a strong ability of diagnosis and prognosis of PFI of PCa.
DOI: 10.6084/m9.figshare.23531348
title: Dataset S5 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531348.v1
title: Dataset S5 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531351
title: Dataset S1 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531351.v1
title: Dataset S1 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531354
title: Dataset S10 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531354.v1
title: Dataset S10 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531357
title: Dataset S7 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531357.v1
title: Dataset S7 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531360
title: Dataset S3 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531360.v1
title: Dataset S3 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
DOI: 10.6084/m9.figshare.23531363.v1
title: Dataset S12 from Foraging history of individual elephants using DNA metabarcoding

description: Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from ‘grazing’ to ‘browsing’ strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant ‘Artists’ family was stronger and more consistently positive compared to the dominant ‘Royals’ family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.