scholarly journals Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Adrian Levitsky ◽  
Maria Pernemalm ◽  
Britt-Marie Bernhardson ◽  
Jenny Forshed ◽  
Karl Kölbeck ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Primary Lung Cancer ◽  
Variable Model ◽  
Orthogonal Projections ◽  
Test Set ◽  
Early Symptoms ◽  
The Past ◽  
Projections To Latent Structures ◽  
History Of ◽  
Latent Structures

Abstract The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e-questionnaire comprised of pre-diagnostic descriptors of first symptoms/sensations was administered to patients referred for suspected LC. Respondents were included in the present analysis only if they later received a primary LC diagnosis or had no cancer; and inclusion of each descriptor required ≥4 observations. Fully-completed data from 506/670 individuals later diagnosed with primary LC (n = 311) or no cancer (n = 195) were modelled with orthogonal projections to latent structures (OPLS). After analysing 145/285 descriptors, meeting inclusion criteria, through randomised seven-fold cross-validation (six-fold training set: n = 433; test set: n = 73), 63 provided best LC prediction. The most-significant LC-positive descriptors included a cough that varied over the day, back pain/aches/discomfort, early satiety, appetite loss, and having less strength. Upon combining the descriptors with the background variables current smoking, a cold/flu or pneumonia within the past two years, female sex, older age, a history of COPD (positive LC-association); antibiotics within the past two years, and a history of pneumonia (negative LC-association); the resulting 70-variable model had accurate cross-validated test set performance: area under the ROC curve = 0.767 (descriptors only: 0.736/background predictors only: 0.652), sensitivity = 84.8% (73.9/76.1%, respectively), specificity = 55.6% (66.7/51.9%, respectively). In conclusion, accurate prediction of LC was found through 63 early symptoms/sensations and seven background factors. Further research and precision in this model may lead to a tool for referral and LC diagnostic decision-making.

Brachyspira Species Avidity to Colonic Mucins from Pigs with and without Brachyspira hyodysenteriae Infection is Species-Specific and Varies between Strains

2021 ◽  
Author(s):  
Macarena P. Quintana-Hayashi ◽  
Mattias Erhardsson ◽  
Maxime Mahu ◽  
Vignesh Venkatakrishnan ◽  
Freddy Haesebrouck ◽  
...  
Keyword(s):  
Sialic Acid ◽  
Hierarchical Cluster ◽  
Swine Industry ◽  
Binding Ability ◽  
Orthogonal Projections ◽  
Brachyspira Hyodysenteriae ◽  
Projections To Latent Structures ◽  
Latent Structures ◽  
Species Specific

Brachyspira hyodysenteriae is commonly associated with swine dysentery (SD), a disease that has an economic impact in the swine industry. B. hyodysenteriae infection results in changes to the colonic mucus niche with a massive mucus induction, which substantially increases the amount of B. hyodysenteriae binding sites in the mucus. We have previously determined that a B. hyodysenteriae strain binds to colon mucins in a manner that differs between pigs and mucin types. Here, we investigated if adhesion to mucins is a trait observed across a broad set of B. hyodysenteriae strains and isolates and furthermore at a genus level ( B. innocens, B. pilosicoli, B. murdochii, B. hampsonii and B. intermedia strains). Our results show that binding to mucins appears to be specific to B. hyodysenteriae , and within this species, the binding ability to mucins varies between strains/isolates, increases to mucins from pigs with SD, and is associated to sialic acid epitopes on mucins. Infection with B. hyodysenteriae strain 8dII results in mucin glycosylation changes in the colon including a shift in sialic acid containing structures. Thus, we demonstrate through hierarchical cluster analysis and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) models of the relative abundances of sialic acid-containing glycans, that sialic acid containing structures in the mucin O -glycome are good predictors of B. hyodysenteriae strain 8dII infection in pigs. The results emphasize the role of sialic acids in governing B. hyodysenteriae interactions with its host, which may open perspectives for therapeutic strategies.

scholarly journals Comparative Inner Morphological and Chemical Studies on Reynoutria Species in Korea

Plants ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 222
Author(s):  
Atif Ali Khan Khalil ◽  
Kazi-Marjahan Akter ◽  
Hye-Jin Kim ◽  
Woo Sung Park ◽  
Dong-Min Kang ◽  
...  
Keyword(s):  
High Performance ◽  
Spectroscopic Studies ◽  
Array Detector ◽  
Vascular Bundles ◽  
Orthogonal Projections ◽  
Flowering Season ◽  
Projections To Latent Structures ◽  
Chemical Profiles ◽  
Chemical Studies ◽  
Latent Structures

Reynoutria species are medicinal plants that belong to the family Polygonaceae and are widely distributed in eastern Asia, North America and Europe. Although the phylogeny and morphological and anatomical studies of some species in Korea have been previously reported, there are no discriminative anatomical and chemical data available. Therefore, anatomical characterization of the leaf, stem and root, and high performance liquid chromatography–diode array detector (HPLC–DAD) analyses were carried out to assess the differences in anatomical and chemical profiles among the Reynoutria plants in Korea, i.e., R. japonica, R. sachalinensis, R. forbesii and R. japonica for. elata. The anatomical evaluation showed discriminative characteristics, such as the shape of the stomata and the stomatal index of the lower leaf surface; the ratio of the adaxial/abaxial height, the size of the vascular bundles and the frequency of druse in the midrib, petiole, and stem; and the pericycle number in the root. For the HPLC analysis, ten compounds corresponding to each major peak were isolated from R. japonica roots and their structures were identified by comprehensive spectroscopic studies. Samples collected before the flowering season showed higher contents of these ten major compounds than those collected after the flowering season. The orthogonal projections to latent structures-discrimination analysis (OPLS-DA) with the inner morphological and HPLC quantification results, clearly discriminated these plants. These results provide anatomical parameters and HPLC profiling that can be used to distinguish the four Reynoutria plants, which supports quality control for their precise identification.

Predicting factors for early and long-term mortality after thoracotomy in patients with primary lung cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e18562-e18562
Author(s):  
Cynthia van Arkel ◽  
Daphne Dumoulin ◽  
Bart van Straten ◽  
Joost ter Woorst ◽  
Saskia Houterman ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Regression Analysis ◽  
Primary Lung Cancer ◽  
Early Mortality ◽  
Predicting Factors ◽  
Time Period ◽  
History Of ◽  
Long Term Mortality

e18562 Background: To determine factors predicting early and long term mortality in patients who underwent a thoracotomy because of primary lung cancer. Methods: Data of patients who underwent a thoracotomy in the Catharina Hospital Eindhoven between 1 January 1995 and 1 January 2011 have been collected retrospectively from the medical files. Early mortality was defined as mortality <30 days after surgery. Last date of follow up was 1 January 2013. Patients were divided in three periods according to date of surgery (1: 1995-1999, 2: 2000-2004 and 3: 2005-2010). Predicting factors for early mortality were assessed with uni- and multivariate logistic regression analysis. For long term mortality and survival predicting factors were assessed using the Cox proportional hazards model and Kaplan-Meier survival curves. Results: In total 501 patients underwent a thoracotomy due to primary lung cancer. Overall 30 day mortality was 5.8% (n=29). Early mortality was 3.0% for lobectomy (n=289), 0.2% for bilobectomy (n=29) and 11% for pneumonectomy (n=109). Multivariate analysis showed that age over 70 (p=0.002), pneumonectomy (p=0.008) and a pre-operative VO2max of <15 ml/kg/min (p=0.02) were significant predictors of early mortality. With respect to long term survival, 308 (62%) patients had died at the end of the follow-up period. Median survival time was 44 months, with an overall 5- and 10- year survival of 45% and 27% respectively. The 5- and 10-year survival for stage I, II and III-IV was 61% and 37%; 46% and 30%;16% and 6.6%, respectively (p<0.0001, log rank test). Finally Cox regression analysis showed that stage (stage I (HR 0.30; 95% CI 0.22-0.42), stage II (HR 0.38; 95% CI 0.26-0.57) compared to stage III-IV, FEV1% ≤70% (HR 1.57; 95% CI 1.61-2.11), a history of cerebrovascular disease (CVD) (HR 1.97; 95% CI 1.20-3.23) and surgery in an earlier time period (1 (HR 1.50; 95% CI 1.04-2.17); 2 (HR 1.46; 95% CI 1.05-2.02) compared to 3) were significant predictors of long term mortality. Conclusions: In this cohort age, pneumonectomy and pre-operative VO2max are significant predictors of early mortality. Significant predictors of long term mortality are disease stage, FEV1%, a history of CVD and surgery in an earlier time period.

scholarly journals Two Cases of Primary Lung Cancer Presenting as Nephrotic Syndrome and a Review of the Literature in the Past 15 Years.

Haigan ◽  
1994 ◽  
Vol 34 (1) ◽  
pp. 95-102 ◽  
Author(s):  
Kousuke Kashiwabara ◽  
Hiroyuki Nakamura ◽  
Yuuji Fukai ◽  
Hirosi Semba ◽  
Ryouichi Kurano
Keyword(s):  
Lung Cancer ◽  
Nephrotic Syndrome ◽  
Primary Lung Cancer ◽  
Review Of The Literature ◽  
The Past
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