Image_1_The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram.tif

PurposeWe developed and validated a CT-based radiomics nomogram to predict HER2 status in patients with adenocarcinoma of esophagogastric junction (AEG).MethodA total of 101 patients with HER2-positive (n=46) and HER2-negative (n=55) esophagogastric junction adenocarcinoma (AEG) were retrospectively analyzed. They were then randomly divided into a training cohort (n=70) and a verification cohort (n=31). The radiomics features were obtained from the portal phase of the CT enhanced scan. We used the least absolute shrinkage and selection operator (LASSO) logistic regression method to select the best radiomics features in the training cohort, combined them linearly, and used the radiomics signature formula to calculate the radiomics score (Rad-score) of each AEG patient. A multivariable logistic regression method was applied to develop a prediction model that incorporated the radiomics signature and independent risk predictors. The prediction performance of the nomogram was evaluated using the training and validation cohorts.ResultIn the training (PConclusionThe nomogram CT-based radiomics signature combined with CT-reported T stage can better predict the HER2 status of AEG before surgery. It can be used as a non-invasive prediction tool for HER2 status and is expected to guide clinical treatment decisions in clinical practice, and it can assist in the formulation of individualized treatment plans.</p

DataSheet_1_The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram.docx

PurposeWe developed and validated a CT-based radiomics nomogram to predict HER2 status in patients with adenocarcinoma of esophagogastric junction (AEG).MethodA total of 101 patients with HER2-positive (n=46) and HER2-negative (n=55) esophagogastric junction adenocarcinoma (AEG) were retrospectively analyzed. They were then randomly divided into a training cohort (n=70) and a verification cohort (n=31). The radiomics features were obtained from the portal phase of the CT enhanced scan. We used the least absolute shrinkage and selection operator (LASSO) logistic regression method to select the best radiomics features in the training cohort, combined them linearly, and used the radiomics signature formula to calculate the radiomics score (Rad-score) of each AEG patient. A multivariable logistic regression method was applied to develop a prediction model that incorporated the radiomics signature and independent risk predictors. The prediction performance of the nomogram was evaluated using the training and validation cohorts.ResultIn the training (PConclusionThe nomogram CT-based radiomics signature combined with CT-reported T stage can better predict the HER2 status of AEG before surgery. It can be used as a non-invasive prediction tool for HER2 status and is expected to guide clinical treatment decisions in clinical practice, and it can assist in the formulation of individualized treatment plans.</p

Learning impairment in naïve rats after intra-hippocampal cycloheximide.

<p>Intra-hippocampal cycloheximide injection (not saline) disrupted the established spatial learning (<b>A</b>: before the injection) in a parallel group of rats without ankle inflammation, as shown in two separate series of the Morris water maze test (<b>B</b>: post-injection day 1-5 and <b>C</b>: post-injection day 15-19). *P< 0.05, as compared with the intra-hippocampal vehicle group.</p

Average daily food intake (grams) of rats during the experiment.

<p>Each value represents mean ± SD (n = 6).</p><p>*P<0.05 as compared with naïve ZDF rats.</p><p>Average daily food intake (grams) of rats during the experiment.</p

Schematic depiction of the modulation of glucose metabolism following taVNS in T2D.

<p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124195#sec018" target="_blank">Discussion</a> for interpretation.</p

Plasma 5-HT concentration (ng/L) in rats at last time point.

<p>Each value represents mean ± SD (n = 6).</p><p>*, P<0.05, versus N-ZL;</p><p>#, P<0.05 versus N-ZDF.</p><p>Plasma 5-HT concentration (ng/L) in rats at last time point.</p

Plasma melatonin concentration (ng/L) in rats at last time point.

<p>Each value represents mean ± SD (n = 6).</p><p>*, P<0.05, versus N-ZL;</p><p>#, P<0.05 versus N-ZDF.</p><p>Plasma melatonin concentration (ng/L) in rats at last time point.</p

Expression of NR1 in brain regions.

<p><b>A</b>–<b>C</b>) Immunostaining (A) and Western blot (B, C) showed an upregulation of NR1 on the ipsilateral side (to ankle inflammation) of the hippocampus in rats with the intra-hippocampal Aβ injection. Scale bar: 100 µm. <b>B</b>, <b>C</b>) In these same Aβ-injected rats, NR1 expression was downregulated in the ipsilateral thalamus but not amygdala. * <i>P</i><0.05 and ** <i>P</i><0.01, as compared with the naïve and ACSF group on the same (ipsilateral) side.</p

Expression of ChAT in the hippocampus, thalamus, and amygdala.

<p><b>A</b>) ChAT immunoreactivity was decreased in the hippocampus contralateral to ankle inflammation in Aβ group as compared with both naïve and ACSF groups with or without ankle inflammation. Veh: Vehicle. Scale bar: 100 µm. <b>B</b>, <b>C</b>) Western blot showed a substantial downregulation of ChAT expression in the contralateral hippocampus, thalamus, and amygdala of rats in Aβ group with ankle inflammation. * <i>P</i><0.05, as compared with Aβ/vehicle and Aβ/CFA groups; # <i>P</i><0.05, as compared with the ASCF/vehicle group.</p

A schematic presentation of experimental designs.

<p><b>A)</b> Experiment 1 examined the effect of intra-hippocampal Aβ-induced learning impairment on the development of nociceptive behavior following ankle inflammation. <b>B</b>) Experiment 2 examined the effect of intra-hippocampal cycloheximide on the recovery of established nociceptive behavior following ankle inflammation. </p