bluuebunny/crossref_metadata_2025 huggingface dataset:
Statistical Learning Methods for Neuroimaging Data Analysis with Applications
Authors: Zhu Hongtu , Li Tengfei , Zhao Bingxin
Published: April 2023

The aim of this review is to provide a comprehensive survey of statistical challenges in neuroimaging data analysis, from neuroimaging techniques to large-scale neuroimaging studies and statistical learning methods. We briefly review eight popular neuroimaging techniques and their potential applications in neuroscience research and clinical translation. We delineate four themes of neuroimaging data and review major image processing analysis methods for processing neuroimaging data at the individual level. We briefly review four large-scale neuroimaging-related studies and a consortium on imaging genomics and discuss four themes of neuroimaging data analysis at the population level. We review nine major population-based statistical analysis methods and their associated statistical challenges and present recent progress in statistical methodology to address these challenges.
Electrically Controllable Materials for Soft, Bioinspired Machines
Authors: Evenchik Alexander L. , Kane Alexander Q. , Oh EunBi , Truby Ryan L.
Published: April 2023

Soft robotics aims to close the performance gap between built and biological machines through materials design. Soft robots are constructed from soft, actuatable materials to be physically intelligent, or to have traits that living organisms possess such as passive adaptability and morphological computation through their compliant, deformable bodies. However, materials selection for physical intelligence often involves low-performance and/or energy-inefficient, stimuli-responsive materials for actuation. Additional challenges in soft robot sensorization and control further limit the practical utility of these machines. Recognizing that electrically controllable materials are crucial for the development of soft machines that are both physically and computationally intelligent, we review progress in the development of electroprogrammable materials for soft robotic actuation. We focus on thermomechanical, electrostatic, and electrochemical actuation strategies that are directly controlled by electric currents and fields. We conclude with an outlook on the design and fabrication of next-generation robotic materials that will facilitate true bioinspired autonomy.
The phc Quorum-Sensing System in Ralstonia solanacearum Species Complex
Authors: Kai Kenji
Published: April 2023

Ralstonia solanacearum species complex (RSSC) strains are devastating plant pathogens distributed worldwide. The primary cell density–dependent gene expression system in RSSC strains is phc quorum sensing (QS). It regulates the expression of about 30% of all genes, including those related to cellular activity, primary and secondary metabolism, pathogenicity, and more. The phc regulatory elements encoded by the phcBSRQ operon and phcA gene play vital roles. RSSC strains use methyl 3-hydroxymyristate (3-OH MAME) or methyl 3-hydroxypalmitate (3-OH PAME) as the QS signal. Each type of RSSC strain has specificity in generating and receiving its QS signal, but their signaling pathways might not differ significantly. In this review, I describe the genetic and biochemical factors involved in QS signal input and the regulatory network and summarize control of the phc QS system, new cell–cell communications, and QS-dependent interactions with soil fungi.
Social Consequences of Forced and Refugee Migration
Authors: Kraly Ellen Percy , Abbasi-Shavazi Mohammad Jalal , Torres Colón Lorraine Lizbeth , Reed Holly E.
Published: April 2023

This review considers sociological perspectives and research on the outcomes and implications of forced and refugee migration for migrants and communities of settlement. Analytic constraints and opportunities posed by concepts of forced and refugee migration and migrants for empirical research are underscored. The tendencies for research on forced and refugee migration to serve policy and programs are addressed in relationship to the conceptualization of processes of displacement as well as research design. A social demographic lens is used to illustrate a record of research on the consequences of forced and refugee migration and settlement. Accordingly, we review empirical literature on patterns of spatial mobility, health and well-being, social and economic integration, and family and community dynamics at different scales. Implications of global issues such as climate change and the COVID-19 pandemic are considered. Analytic issues emerge from the intersections, and lack thereof, between forced migration, refugee studies, and migration policy analysis and provide critical opportunities for contributions by sociologists and social scientists more generally.
Polylatic Acid Nanofiber-Guided Uniform Lithium Deposition for Stable Lithium Metal Anodes
Authors: Fang Pingan , Zhang Shixian , Chen Xinhui , Lu Yao , Zhao Zhenghui , Xiong Chuanxi , Xie Haian
Published: April 2023

Lithium (Li) metal has been considered as potential choices for high-energy density batteries. However, the uncontrollable growth of Li dendrites and the infinite relative volume changes of Li anodes hinder its practical application. Herein we demonstrate a strategy to protect the Li metal anode by using a polylatic acid (PLA) nanofiber film. This polymer nanofiber film exhibits high ionic conductivity, flexibility, and chemical affinity, which enable the fast transfer of Li-ion and the feasibility to accommodate the volume changes of Li metal, and further resulting in a dendrite-free anode and stable interface. Numerous polar groups on the surface of PLA nanofibers can guide the orderly migration of Li ions. Besides, PLA nanofiber can form an artificial solid electrolyte interphase (SEI) layer by in situ reaction. Based on these advantages, we realize a high average coulombic efficiency (CE) of 95% within 150 cycles in a Li|Cu cell. When the LiCoO2 cathode was assembled with PLA-protected Li anode, a high capacity retention (81%) within 100 cycles at 89mAg−1(1 C = 178mAhg−1) is obtained. This work highlights the advantages of an in situ polymer nanofiber artificial SEI layer in stabilizing Li metal anode and provides a fresh insight for the design of artificial SEI layer.
Smooth pursuit eye movements contribute to anticipatory force control during mechanical stopping of moving objects
Authors: Sinha Oindrila , Madarshahian Shirin , Gómez-Granados Ana , Paine Morgan L. , Kurtzer Isaac , Singh Tarkeshwar
Published: April 2023

We show for the first time that smooth pursuit eye movements (SPEMs) play a role in the modulation of anticipatory control of hand force to stabilize posture against contact forces. SPEMs are critical for tracking moving objects, facilitate processing motion of moving objects, and are impacted during aging and in many neurological disorders, such as Alzheimer’s disease and multiple sclerosis. These results provide a novel basis to probe how changes in SPEMs could contribute to deficient limb motor control in older adults and patients with neurological disorders.
Experimental Study on the Effect of Coarse Grain Content on the Dilatancy and Particle Breakage Characteristics of Coarse-Grained Soils
Authors: Du Jun , Xiong Zhiming , Shen Xinggang , Li Chenchen
Published: April 2023

The dilatancy deformation and particle breakage effects of coarse-grained soil have a significant influence on the safety and stability of high earth and rock-fill dams. To study the shear deformation and particle breakage characteristics of coarse-grained soil, four groups of soil sample with different coarse grain contents were to conduct consolidated drained triaxial compression tests by DJSZ-150 large-scale triaxial compression test machine. The results showed that the volume of coarse-grained soil changes significantly under deviation stress. The soil samples underwent positive dilatancy under the confining pressures of 200 kPa and 400 kPa but negative dilatancy under the confining pressures of 600 kPa and 800 kPa. When increasing the coarse grain contents in the soil sample under the same confining pressure, the positive dilatancy was more significant. A three-parameter dilatancy equation of coarse-grained soil considering confining pressure was established, in which the parameter

L
=
4

could serve as a criterion for whether the coarse-grained soil underwent positive dilatancy. Under the load, the coarse-grained soil showed three particle breakage modes: abrasion, attrition, and fracture. The coarse-grained soil particle size distribution before and after breakage conformed to the fractal characteristics, and the particle breakage rate increased significantly with larger soil particle size fractal dimension differences before and after the test. The coarse grain content and the confining pressure are two important factors affecting the mechanical properties of coarse-grained soil, and they control the shear deformation of soil.
An Extraordinary Case of Autoimmune Polyendocrinopathy-Candidiasis-Ectodermal Dystrophy (APECED) Syndrome Misdiagnosed as Juvenile Idiopathic Arthritis on Admission
Authors: Aytac Gulcin , Guven Burcu , Aydin Ilyas , Topyildiz Ezgi , Aykut Ayca , Durmaz Asude , Edeer Karaca Neslihan , Aksu Guzide , Kutukculer Necil
Published: April 2023

Background. APECED is a syndrome characterized by autoimmune polyendocrinopathy, candidiasis, and ectodermal dystrophy. The most observed clinical findings are chronic mucocutaneous candidiasis, hypoparathyroidism, and autoimmune adrenal insufficiency. Case Presentation. A three-year-old male patient was admitted with classical signs of juvenile idiopathic arthritis and treated with nonsteroidal anti-inflammatory drugs. During follow-up, signs of autoimmunity, candidiasis, nail dystrophy, and onychomycosis were observed. The parents were consanguineous, and targeted next-generation sequencing was performed. A homozygous mutation in the AIRE gene SAND domain (c.769C > T, p.Arg257Ter) was detected, and the patient was diagnosed with APECED syndrome. Conclusion. Inflammatory arthritis is rarely described in association with APECED and is often misdiagnosed as juvenile idiopathic arthritis. In APECED cases, nonclassical symptoms such as arthritis may occur before developing classical symptoms and considering the diagnosis of APECED in patients with CMC and arthritis is useful for early diagnosis before development of complications and management of disease.
A Real-Time Tourism Route Recommendation System Based on Multitime Scale Constraints
Authors: Song Yongmei , Jiao Xuelian
Published: April 2023

In order to increase the capability of real-time intelligent recommendation of tourists’ information on cross-regional city-level tourist routes with epidemic normalization, a real-time intelligent recommendation algorithm for cross-regional city-level tourist routes with epidemic normalization based on multi-time scale constraints is proposed. Under the training of limited samples, the tourist correlation model of the epidemic normalization of cross-regional city-level tourist routes is created. In addition, two kernel functions i.e. the mixed and the global are assembled to excerpt the correspondence features of the epidemic normalization cross-regional city-level tourist route recommendation information. As a result, the well-known particle swarm optimization (PSO) procedure and algorithm with multitime scale constraints are adopted to carry out the adaptive learning of the epidemic normalization cross-regional city-level tourist route recommendation, and the convergence control of the recommended method is comprehended through mining the geographic information data sets of cities. This paper analyzes the universality and ergodicity of tourists' personal interest preferences and social characteristics in urban tourism and combines a gradient algorithm to carry out particle swarm evolution and self-adaptive optimization for the recommendation of cross-regional city-level tourist routes with a normalized epidemic situation, so as to realize the group real-time intelligent recommendation of tourists’ information on cross-regional city-level tourist routes with the normalized epidemic situation. The model outcomes indicate that the exactitude and precision of cross-regional city-level tourism route information recommendation with this algorithm are decent, and the convergence of the swarm intelligence optimization (SIO) problem is robust, which can circumvent dipping into the local optimal solution in the process of real-time intelligent recommendation of tourism routes and improve the intelligence and global stability of cross-regional city-level tourism route recommendation with epidemic normalization.
Prediction Model and Risk Quantification of Natural Gas Peak Production in Central Sichuan Paleo-Uplift Gas Reservoirs
Authors: Li Haitao , Yu Guo , Li Chun , Xie Zhenglong , Liu Chenxi , Zhang Dongming , Wang Chongyang
Published: April 2023

Located in the Sichuan Basin of China, the central Sichuan paleo-uplift is a geological structure that spanned several areas in Sichuan province and was formed 500 million years ago. It is the bottom layer with rich conventional natural gas resources of more than

3
×

10

12

 

m

3

, and the proven reserves are about 30%, while the recovery rate is only 1.4%. In this paper, the Hubbert and Gauss models are used to study the peak production of natural gas. The Monte Carlo simulation method is used to predict the realization probability of future medium and long-term production, evaluate the risk level of natural gas production, and realize the whole process research from scale prediction to risk quantification of gas reservoirs. According to the Gauss model, under the realization probability of P50, the gas reservoir in the central Sichuan paleo-uplift can reach a peak production value of

145
×

10

8

m

3

/
a

, in 2040, and maintain a stable production state in 2034-2046. The risk grade evaluation matrix, through which the dispersion degree C ∈ (5% and 10%) in the rising stage and rapid production decline stage can be obtained, and the dispersion degree C ∈ (10% and 25%) in the stable production stage and slow production decline stage can be obtained. The dispersion degree and realization probability can be integrated to obtain the risk level at different stages.
Hybrid Human and Machine Learning Algorithms to Forecast the European Stock Market
Authors: Creamer Germán G. , Sakamoto Yasuaki , Nickerson Jeffrey V. , Ren Yong
Published: April 2023

This paper explores the power of news sentiment to predict financial returns, particularly the returns of a set of European stocks. Building on past decision support work going back to the Delphi method, this paper describes a text analysis expert weighting algorithm that aggregates the responses of both humans and algorithms by dynamically selecting the best answer according to previous performance. The proposed system is tested through an experiment in which ensembles of experts, crowds, and machines analyzed Thomson Reuters news stories and predicted the returns of the relevant stocks mentioned right after the stories appeared. In most cases, the expert weighting algorithm was better than or as good as the best algorithm or human. The algorithm’s capacity to dynamically select the best answers from humans and machines results in an evolving collective intelligence: the final decision is an aggregation of the best automated individual answers, some of which come from machines and some from humans. Additionally, this paper shows that the groups of humans, algorithms, and expert weighting algorithms have associated with them, particularly, news topics that these groups are good at making predictions from.
Fracture Resistance of Endodontically Treated Maxillary Premolar Teeth Restored with Wallpapering Technique: A Comparative In Vitro Study
Authors: Abdulamir Shahed Wissam , Majeed Manhal A.
Published: April 2023

Objectives. This in vitro study aimed to evaluate and compare the fracture resistance and mode of failure of endodontically treated maxillary premolar teeth restored with different direct composite restorative techniques. Materials and Methods. Forty freshly extracted maxillary premolar teeth with comparable sizes were used in this in vitro study. Each tooth received mesio-occluso-distal cavity preparation (3 mm width and 6 mm depth) followed by endodontic treatment. Canals were instrumented with RACE EVO rotary files (FKG, Dentaire, Switzerland) up to MAF 25/.06. Canals were obturated using a single cone technique, then the teeth were divided arbitrarily into five groups (n = 8): Group A: direct composite resin only using a centripetal technique, Group B: direct composite resin with glass fiber post, Group C: direct composite resin with short fiber-reinforced composite (everX Flow), Group D: direct composite resin with leno wave ultra high molecular weight polyethylene (LWUHMWPE) fibers placed on cavity floor, and Group E: direct composite resin with LWUHMWPE fibers placed circumferentially around the cavity walls (wallpapering technique). The teeth were then stored in distilled water at 37°C for 24 hr. The fracture resistance of each sample was measured using a universal testing machine in Newton (N). The data were analyzed using one-way analysis of variance (ANOVA) and the Bonferroni test with a significance level of 0.05. Results. Group E recorded the maximum mean of fracture load (2,139.375 N), while Group A recorded the minimum mean of fracture load (689.6250 N). The one-way ANOVA test revealed a significant difference between the groups. The Bonferroni test showed a significant difference between each two groups, with the exception of those between Groups B and C and between Groups D and E, where there were no statistically significant differences (p>0.05). Conclusion. Restoration of endodontically treated teeth using the wallpapering technique recorded the highest mean of fracture resistance with a repairable mode of fracture.
Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs
Authors: Li Yu , Liu Huiqing , Jiao Peng , Wang Qing , Liu Dong , Ma Liangyu , Wang Zhipeng , Peng Hao
Published: April 2023

Cyclic steam stimulation (CSS) is one efficient technology for enhancing heavy-oil recovery. However, after multiple cycles, steam channeling severely limits the thermal recovery because high-temperature steam preferentially breaks through to the producers. To solve the issues of steam breakthrough, it is essentially important and necessary to recognize steam channeling. In this work, a machine-learning-assisted identification model, based on a random-forest ensemble algorithm, is developed to predict the occurrence of steam channeling during steam huff-and-puff processes. The set of feature attributes is constructed based on the permeability ratio, steam quality, and steam-injection speed, which provides the reference for the construction of the training-sample set, steam-channeling reconstruction set, and prediction set. Based on the realistic data, the Pearson correlation coefficient is implemented to confirm the linear correlation among different characteristics; thus, the dimension reduction of the characteristic parameters is achieved. The random oversampling method is adopted to treat the unbalanced training-sample set. Our results show that this model can accurately describe the current state of steam channeling and predict steam propagation in the following cycles.
Evaluation of Music Art Teaching Quality Based on Grey Neural Network
Authors: Liu Fengqin , Wu Jinhua
Published: April 2023

The study and implementation of music art teaching quality monitoring systems as a major teaching management project in Chinese colleges and universities has been in continuation for a decade. An essential challenge in the management of colleges and universities is that how to assess the teaching abilities of music and art professors fairly and objectively. The system is designed and implemented by separating the front end and back end of browser + server to provide examination services in the way of cloud computing. This system primarily gathers the students’ multidimensional data including sound intensity, pitch, and beat. Then a grey neural network is used to analyze the students’ sound intensity, pitch, and beat. After evaluation process, the scores of the final examination in colleges and universities are uploaded to the backstage server in real-time.
Chinese Event Extraction Method Based on Roformer Model
Authors: Qiang Baohua , Zhou Xiangyu , Wang Yufeng , Yang Xianyi , Wang Yuemeng , Tian Jubo , Chen Peng
Published: April 2023

Event extraction is an important research direction in the field of natural language processing. The current Chinese event extraction field still suffers from errors in the pretraining and fine-tuning stages, inability to directly handle texts with more than 512 tokens, and inaccurate event extraction due to insufficient semantic sample diversity. In this paper, we propose a Chinese event extraction method RoformerFC (Roformer model with FGM and CRF) based on the Roformer model to address the above problems. Firstly, our method utilizes the Roformer model based on rotary position embedding, which both moderates the errors in the pretraining and fine-tuning phases and allows the model to directly handle texts with more than 512 tokens; then, the adversarial networks based on FGM (fast gradient method) are realized to increase the diversity of semantic feature samples; finally, the classical CRF (conditional random fields) model is used to decode and identify the event element entity and its corresponding event role and event type. On the short text DuEE dataset, the microP, microR, and microF of our method improved 1.26%, 4.01%, and 2.68%, respectively, over the classical Chinese event extraction method BERT-CRF. On the long text JsEE dataset, the microP, microR, and microF of our method improved 2.26%, 5.03%, and 3.72%, respectively, over the classical Chinese event extraction method BERT-CRF.
Nonlinear
n
-Order
m
-Point Semipositive Boundary Value Problems and Applications
Authors: Su Hua
Published: April 2023

In our paper, we consider the positive solutions of the nonlinear

n

-order

m

-point semipositive BVP. In this BVP equation, we allow that

f

can change the symbol for

0
<
t
<
1

; by using the fixed point index theory, the existence of positive solutions and many positive solutions are obtained under the condition that

f

is superlinear or sublinear.
Method of Particular Solutions for Second-Order Differential Equation with Variable Coefficients via Orthogonal Polynomials
Authors: Xie Huantian , Zhang Zhaozhong , Jiang Ziwu , Zhou Jianwei
Published: April 2023

In this paper, with classic Legendre polynomials, a method of particular solutions (MPS, for short) is proposed to solve a kind of second-order differential equations with a variable coefficient on a unit interval. The particular solutions, satisfying the natural Dirichlet boundary conditions, are constructed with orthogonal Legendre polynomials for the variable coefficient case. Meanwhile, we investigate the a-priori error estimates of the MPS approximations. Two a-priori error estimations inH1- andL∞-norms are shown to depict the convergence order of numerical approximations, respectively. Some numerical examples and convergence rates are provided to validate the merits of our proposed meshless method.
Data from Survival of Middle Eastern and North African Individuals Diagnosed with Colorectal Cancer: A Population-Based Study in California
Authors: Zaki Timothy A. , Ziogas Argyrios , Chang Jenny , Murphy Caitlin C. , Anton-Culver Hoda
Published: April 2023

Abstract
Background: Literature on colorectal cancer (CRC) outcomes in individuals of Middle Eastern and North African (MENA) descent is limited. To address this gap, we estimated five-year CRC-specific survival by race and ethnicity, including MENA individuals, in a diverse, population-based sample in California.

Methods: We identified adults (ages 18-79 years) diagnosed with a first or only CRC in 2004 – 2017 using the California Cancer Registry, including non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, Hispanic, and MENA individuals. For each racial/ethnic group, we calculated five-year CRC-specific survival and used Cox proportional hazards regression models to examine the association of race/ethnicity and survival, adjusting for clinical and sociodemographic factors.

Results: Of 110,192 persons diagnosed with CRC, five-year CRC-specific survival was lowest in Black (61.0%) and highest in MENA (73.2%) individuals. Asian (72.2%) individuals had higher survival than White (70.0%) and Hispanic (68.2%) individuals. In adjusted analysis, MENA (aHR 0.82, 95% CI 0.76, 0.89), Asian (aHR 0.86, 95% CI 0.83, 0.90), and Hispanic (aHR 0.94, 95% CI 0.91, 0.97) race/ethnicity were associated with higher, and Black (aHR 1.13, 95% CI 1.09, 1.18) race/ethnicity was associated with lower, survival compared to non-Hispanic White race/ethnicity.

Conclusion: To our knowledge, this is the first study to report CRC survival in MENA individuals in the U.S. We observed higher survival of MENA individuals compared to other racial/ethnic groups, adjusting for sociodemographic and clinical factors.

Impact: Future studies are needed to identify factors contributing to cancer outcomes in this unique population.

Keywords: colorectal cancer; survival; Middle Eastern; race/ethnicity; population-based
Data from Survival of Middle Eastern and North African Individuals Diagnosed with Colorectal Cancer: A Population-Based Study in California
Authors: Zaki Timothy A. , Ziogas Argyrios , Chang Jenny , Murphy Caitlin C. , Anton-Culver Hoda
Published: April 2023

AbstractBackground:
Literature on colorectal cancer outcomes in individuals of Middle Eastern and North African (MENA) descent is limited. To address this gap, we estimated five-year colorectal cancer–specific survival by race and ethnicity, including MENA individuals, in a diverse, population-based sample in California.
Methods:
We identified adults (ages 18–79 years) diagnosed with a first or only colorectal cancer in 2004 to 2017 using the California Cancer Registry (CCR), including non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, Hispanic, and MENA individuals. For each racial/ethnic group, we calculated five-year colorectal cancer–specific survival and used Cox proportional hazards regression models to examine the association of race/ethnicity and survival, adjusting for clinical and socio demographic factors.
Results:
Of 110,192 persons diagnosed with colorectal cancer, five-year colorectal cancer–specific survival was lowest in Black (61.0%) and highest in MENA (73.2%) individuals. Asian (72.2%) individuals had higher survival than White (70.0%) and Hispanic (68.2%) individuals. In adjusted analysis, MENA [adjusted HR (aHR), 0.82; 95% confidence interval (CI), 0.76–0.89], Asian (aHR, 0.86; 95% CI, 0.83–0.90), and Hispanic (aHR, 0.94; 95% CI, 0.91–0.97) race/ethnicity were associated with higher, and Black (aHR, 1.13; 95% CI, 1.09–1.18) race/ethnicity was associated with lower survival compared with non-Hispanic White race/ethnicity.
Conclusions:
To our knowledge, this is the first study to report colorectal cancer survival in MENA individuals in the United States. We observed higher survival of MENA individuals compared with other racial/ethnic groups, adjusting for sociodemographic and clinical factors.
Impact:
Future studies are needed to identify factors contributing to cancer outcomes in this unique population.
Supplementary Figure 1 from Antitumor Efficacy of Dual Blockade with Encorafenib + Cetuximab in Combination with Chemotherapy in Human BRAFV600E-Mutant Colorectal Cancer
Authors: Napolitano Stefania , Woods Melanie , Lee Hey Min , De Falco Vincenzo , Martini Giulia , Della Corte Carminia Maria , Martinelli Erika , Famiglietti Vincenzo , Ciardiello Davide , Anderson Amanda , Fowlkes Natalie Wall , Villareal Oscar Eduardo , Sorokin Alexey , Kanikarla Preeti , Coker Olu , Morris Van , Altucci Lucia , Tabernero Josep , Troiani Teresa , Ciardiello Fortunato , Kopetz Scott
Published: April 2023

Differentially enriched hallmark gene sets after cytotoxic chemotherapy and targeted therapy of B1003b PDX tumor samples.
Table S3 from Eganelisib, a First-in-Class PI3Kγ Inhibitor, in Patients with Advanced Solid Tumors: Results of the Phase 1/1b MARIO-1 Trial
Authors: Hong David S. , Postow Michael , Chmielowski Bartosz , Sullivan Ryan , Patnaik Amita , Cohen Ezra E.W. , Shapiro Geoffrey , Steuer Conor , Gutierrez Martin , Yeckes-Rodin Heather , Ilaria Robert , O'Connell Brenda , Peng Joanna , Peng Guangbin , Zizlsperger Nora , Tolcher Anthony , Wolchok Jedd D.
Published: April 2023

Summary of anti-tumor activity endpoints in patients treated with eganelisib combination therapy by tumor type
Methodology and Criteria for MDSCs 2 from Eganelisib, a First-in-Class PI3Kγ Inhibitor, in Patients with Advanced Solid Tumors: Results of the Phase 1/1b MARIO-1 Trial
Authors: Hong David S. , Postow Michael , Chmielowski Bartosz , Sullivan Ryan , Patnaik Amita , Cohen Ezra E.W. , Shapiro Geoffrey , Steuer Conor , Gutierrez Martin , Yeckes-Rodin Heather , Ilaria Robert , O'Connell Brenda , Peng Joanna , Peng Guangbin , Zizlsperger Nora , Tolcher Anthony , Wolchok Jedd D.
Published: April 2023

Study IPI-549-01 methodology and criteria for assessing MDSCs
Inclusion and Exclusion Criteria 1 from Eganelisib, a First-in-Class PI3Kγ Inhibitor, in Patients with Advanced Solid Tumors: Results of the Phase 1/1b MARIO-1 Trial
Authors: Hong David S. , Postow Michael , Chmielowski Bartosz , Sullivan Ryan , Patnaik Amita , Cohen Ezra E.W. , Shapiro Geoffrey , Steuer Conor , Gutierrez Martin , Yeckes-Rodin Heather , Ilaria Robert , O'Connell Brenda , Peng Joanna , Peng Guangbin , Zizlsperger Nora , Tolcher Anthony , Wolchok Jedd D.
Published: April 2023

Study IPI-549-01 full protocol inclusion and exclusion criteria
Supplementary Table TS1 from Comprehensive Genome Profiling in Patients With Metastatic Non–Small Cell Lung Cancer: The Precision Medicine Phase II Randomized SAFIR02-Lung/IFCT 1301 Trial
Authors: Barlesi Fabrice , Tomasini Pascale , Karimi Maryam , Michiels Stefan , Raimbourg Judith , Daniel Catherine , Janicot Henri , Madroszyk Anne , Audigier-Valette Clarisse , Quoix Elisabeth , Mazieres Julien , Moro-Sibilot Denis , Dansin Eric , Molinier Olivier , Morel Hugues , Pichon Eric , Cortot Alexis , Otto Josiane , Chomy François , Souquet Pierre-Jean , Cloarec Nicolas , Giroux-Leprieur Etienne , Bieche Ivan , Lacroix Ludovic , Boyault Sandrine , Attignon Valery , Soubeyran Isabelle , Morel Alain , Tran-Dien Alicia , Jacquet Alexandra , Dall'Olio Filippo Gustavo , Jimenez Marta , Soria Jean-Charles , Besse Benjamin
Published: April 2023

Supplementary Table S1. Representativeness of Study Participants
Supplementary Material SM1 from Comprehensive Genome Profiling in Patients With Metastatic Non–Small Cell Lung Cancer: The Precision Medicine Phase II Randomized SAFIR02-Lung/IFCT 1301 Trial
Authors: Barlesi Fabrice , Tomasini Pascale , Karimi Maryam , Michiels Stefan , Raimbourg Judith , Daniel Catherine , Janicot Henri , Madroszyk Anne , Audigier-Valette Clarisse , Quoix Elisabeth , Mazieres Julien , Moro-Sibilot Denis , Dansin Eric , Molinier Olivier , Morel Hugues , Pichon Eric , Cortot Alexis , Otto Josiane , Chomy François , Souquet Pierre-Jean , Cloarec Nicolas , Giroux-Leprieur Etienne , Bieche Ivan , Lacroix Ludovic , Boyault Sandrine , Attignon Valery , Soubeyran Isabelle , Morel Alain , Tran-Dien Alicia , Jacquet Alexandra , Dall'Olio Filippo Gustavo , Jimenez Marta , Soria Jean-Charles , Besse Benjamin
Published: April 2023

Supplementary materials - substudy 1 statistical report
Supplementary Figure S5 from Comprehensive Genome Profiling in Patients With Metastatic Non–Small Cell Lung Cancer: The Precision Medicine Phase II Randomized SAFIR02-Lung/IFCT 1301 Trial
Authors: Barlesi Fabrice , Tomasini Pascale , Karimi Maryam , Michiels Stefan , Raimbourg Judith , Daniel Catherine , Janicot Henri , Madroszyk Anne , Audigier-Valette Clarisse , Quoix Elisabeth , Mazieres Julien , Moro-Sibilot Denis , Dansin Eric , Molinier Olivier , Morel Hugues , Pichon Eric , Cortot Alexis , Otto Josiane , Chomy François , Souquet Pierre-Jean , Cloarec Nicolas , Giroux-Leprieur Etienne , Bieche Ivan , Lacroix Ludovic , Boyault Sandrine , Attignon Valery , Soubeyran Isabelle , Morel Alain , Tran-Dien Alicia , Jacquet Alexandra , Dall'Olio Filippo Gustavo , Jimenez Marta , Soria Jean-Charles , Besse Benjamin
Published: April 2023

Supplementary Figure 5. Forest plot with subgroup analysis for OS in substudy 2.
Supplementary Figure S4 from Comprehensive Genome Profiling in Patients With Metastatic Non–Small Cell Lung Cancer: The Precision Medicine Phase II Randomized SAFIR02-Lung/IFCT 1301 Trial
Authors: Barlesi Fabrice , Tomasini Pascale , Karimi Maryam , Michiels Stefan , Raimbourg Judith , Daniel Catherine , Janicot Henri , Madroszyk Anne , Audigier-Valette Clarisse , Quoix Elisabeth , Mazieres Julien , Moro-Sibilot Denis , Dansin Eric , Molinier Olivier , Morel Hugues , Pichon Eric , Cortot Alexis , Otto Josiane , Chomy François , Souquet Pierre-Jean , Cloarec Nicolas , Giroux-Leprieur Etienne , Bieche Ivan , Lacroix Ludovic , Boyault Sandrine , Attignon Valery , Soubeyran Isabelle , Morel Alain , Tran-Dien Alicia , Jacquet Alexandra , Dall'Olio Filippo Gustavo , Jimenez Marta , Soria Jean-Charles , Besse Benjamin
Published: April 2023

Supplementary Figure 4. Forest plot with subgroup analysis for PFS in substudy 2.
Supplementary Figure S2 from Comprehensive Genome Profiling in Patients With Metastatic Non–Small Cell Lung Cancer: The Precision Medicine Phase II Randomized SAFIR02-Lung/IFCT 1301 Trial
Authors: Barlesi Fabrice , Tomasini Pascale , Karimi Maryam , Michiels Stefan , Raimbourg Judith , Daniel Catherine , Janicot Henri , Madroszyk Anne , Audigier-Valette Clarisse , Quoix Elisabeth , Mazieres Julien , Moro-Sibilot Denis , Dansin Eric , Molinier Olivier , Morel Hugues , Pichon Eric , Cortot Alexis , Otto Josiane , Chomy François , Souquet Pierre-Jean , Cloarec Nicolas , Giroux-Leprieur Etienne , Bieche Ivan , Lacroix Ludovic , Boyault Sandrine , Attignon Valery , Soubeyran Isabelle , Morel Alain , Tran-Dien Alicia , Jacquet Alexandra , Dall'Olio Filippo Gustavo , Jimenez Marta , Soria Jean-Charles , Besse Benjamin
Published: April 2023

Supplementary Figure 2. Forest plot with subgroup analysis for PFS in substudy 1.
Supplementary Figure Legends SL1 from Comprehensive Genome Profiling in Patients With Metastatic Non–Small Cell Lung Cancer: The Precision Medicine Phase II Randomized SAFIR02-Lung/IFCT 1301 Trial
Authors: Barlesi Fabrice , Tomasini Pascale , Karimi Maryam , Michiels Stefan , Raimbourg Judith , Daniel Catherine , Janicot Henri , Madroszyk Anne , Audigier-Valette Clarisse , Quoix Elisabeth , Mazieres Julien , Moro-Sibilot Denis , Dansin Eric , Molinier Olivier , Morel Hugues , Pichon Eric , Cortot Alexis , Otto Josiane , Chomy François , Souquet Pierre-Jean , Cloarec Nicolas , Giroux-Leprieur Etienne , Bieche Ivan , Lacroix Ludovic , Boyault Sandrine , Attignon Valery , Soubeyran Isabelle , Morel Alain , Tran-Dien Alicia , Jacquet Alexandra , Dall'Olio Filippo Gustavo , Jimenez Marta , Soria Jean-Charles , Besse Benjamin
Published: April 2023

Supplementary Figure legends 1-5
Supplementary Table S6 from Frequent Overexpression of HER3 in Brain Metastases from Breast and Lung Cancer
Authors: Tomasich Erwin , Steindl Ariane , Paiato Christina , Hatziioannou Teresa , Kleinberger Markus , Berchtold Luzia , Puhr Rainer , Hainfellner Johannes A. , Müllauer Leonhard , Widhalm Georg , Eckert Franziska , Bartsch Rupert , Heller Gerwin , Preusser Matthias , Berghoff Anna Sophie
Published: April 2023

Pathway enrichment analysis of genes associated with differentially methylated CpG sites in HER3+ vs. HER3-
Supplementary Table S5 from Frequent Overexpression of HER3 in Brain Metastases from Breast and Lung Cancer
Authors: Tomasich Erwin , Steindl Ariane , Paiato Christina , Hatziioannou Teresa , Kleinberger Markus , Berchtold Luzia , Puhr Rainer , Hainfellner Johannes A. , Müllauer Leonhard , Widhalm Georg , Eckert Franziska , Bartsch Rupert , Heller Gerwin , Preusser Matthias , Berghoff Anna Sophie
Published: April 2023

Differentially methylated CpG sites in HER3+ vs HER3- breast cancer samples (TNBC cohort)
Supplementary Table S2 from Frequent Overexpression of HER3 in Brain Metastases from Breast and Lung Cancer
Authors: Tomasich Erwin , Steindl Ariane , Paiato Christina , Hatziioannou Teresa , Kleinberger Markus , Berchtold Luzia , Puhr Rainer , Hainfellner Johannes A. , Müllauer Leonhard , Widhalm Georg , Eckert Franziska , Bartsch Rupert , Heller Gerwin , Preusser Matthias , Berghoff Anna Sophie
Published: April 2023

Baseline characteristics of patients used for genome-wide DNA-methlyation analysis, stratified into HER3-positive and HER3-negative
Supplementary Table S1 from Frequent Overexpression of HER3 in Brain Metastases from Breast and Lung Cancer
Authors: Tomasich Erwin , Steindl Ariane , Paiato Christina , Hatziioannou Teresa , Kleinberger Markus , Berchtold Luzia , Puhr Rainer , Hainfellner Johannes A. , Müllauer Leonhard , Widhalm Georg , Eckert Franziska , Bartsch Rupert , Heller Gerwin , Preusser Matthias , Berghoff Anna Sophie
Published: April 2023

Protocols used for IHC stainings on the Ventana Benchmark ULTRA device
Supplementary Figure S2 from Frequent Overexpression of HER3 in Brain Metastases from Breast and Lung Cancer
Authors: Tomasich Erwin , Steindl Ariane , Paiato Christina , Hatziioannou Teresa , Kleinberger Markus , Berchtold Luzia , Puhr Rainer , Hainfellner Johannes A. , Müllauer Leonhard , Widhalm Georg , Eckert Franziska , Bartsch Rupert , Heller Gerwin , Preusser Matthias , Berghoff Anna Sophie
Published: April 2023

Kaplan-Meier curves of patients with BM of A) Luminal-BCa B) HER2+ BCa C) TN-BCa, and D) NSCLC patients stratified according to the intensity of HER3 expression determined by IHC.
Data from Comprehensive Genome Profiling in Patients With Metastatic Non–Small Cell Lung Cancer: The Precision Medicine Phase II Randomized SAFIR02-Lung/IFCT 1301 Trial
Authors: Barlesi Fabrice , Tomasini Pascale , Karimi Maryam , Michiels Stefan , Raimbourg Judith , Daniel Catherine , Janicot Henri , Madroszyk Anne , Audigier-Valette Clarisse , Quoix Elisabeth , Mazieres Julien , Moro-Sibilot Denis , Dansin Eric , Molinier Olivier , Morel Hugues , Pichon Eric , Cortot Alexis , Otto Josiane , Chomy François , Souquet Pierre-Jean , Cloarec Nicolas , Giroux-Leprieur Etienne , Bieche Ivan , Lacroix Ludovic , Boyault Sandrine , Attignon Valery , Soubeyran Isabelle , Morel Alain , Tran-Dien Alicia , Jacquet Alexandra , Dall'Olio Filippo Gustavo , Jimenez Marta , Soria Jean-Charles , Besse Benjamin
Published: April 2023

AbstractPurpose:
Targeted therapies (TT) and immune checkpoint blockers (ICB) have revolutionized the approach to non–small cell lung cancer (NSCLC) treatment in the era of precision medicine. Their impact as switch maintenance therapy based on molecular characterization is unknown.
Patients and Methods:
SAFIR02-Lung/IFCT 1301 was an open-label, randomized, phase II trial, involving 33 centers in France. We investigated eight TT (substudy-1) and one ICB (substudy-2), compared with standard-of-care as a maintenance strategy in patients with advanced EGFR, ALK wild-type (wt) NSCLC without progression after first-line chemotherapy, based on high-throughput genome analysis. The primary outcome was progression-free survival (PFS).
Results:
Among the 175 patients randomized in substudy-1, 116 received TT (selumetinib, vistusertib, capivasertib, AZD4547, AZD8931, vandetanib, olaparib, savolitinib) and 59 standard-of-care. Median PFS was 2.7 months [95% confidence interval (CI), 1.6–2.9] with TT versus 2.7 months (1.6–4.1) with standard-of-care (HR, 0.97; 95% CI, 0.7–1.36; P = 0.87). There were no significant differences in PFS within any molecular subgroup. In substudy-2, 183 patients were randomized, 121 received durvalumab and 62 standard-of-care. Median PFS was 3.0 months (2.3–4.4) with durvalumab versus 3.0 months (2.0–5.1) with standard-of-care (HR, 0.86; 95% CI, 0.62–1.20; P = 0.38). Preplanned subgroup analysis showed an enhanced benefit with durvalumab in patients with PD-L1 tumor proportion score (TPS) ≥1%, (n = 29; HR, 0.29; 95% CI, 0.11–0.75) as compared with PD-L1 <1% (n = 31; HR, 0.71; 95% CI, 0.31–1.60; Pinteraction = 0.036).
Conclusions:
Molecular profiling can feasibly be implemented to guide treatment choice for the maintenance strategy in EGFR/ALK wt NSCLC; in this study it did not lead to substantial treatment benefits beyond durvalumab for PD-L1 ≥ 1 patients.
Data from Eganelisib, a First-in-Class PI3Kγ Inhibitor, in Patients with Advanced Solid Tumors: Results of the Phase 1/1b MARIO-1 Trial
Authors: Hong David S. , Postow Michael , Chmielowski Bartosz , Sullivan Ryan , Patnaik Amita , Cohen Ezra E.W. , Shapiro Geoffrey , Steuer Conor , Gutierrez Martin , Yeckes-Rodin Heather , Ilaria Robert , O'Connell Brenda , Peng Joanna , Peng Guangbin , Zizlsperger Nora , Tolcher Anthony , Wolchok Jedd D.
Published: April 2023

AbstractPurpose:
Eganelisib (IPI-549) is a first-in-class, orally administered, highly selective PI3Kγ inhibitor with antitumor activity alone and in combination with programmed cell death protein 1/ligand 1 (PD-1/PD-L1) inhibitors in preclinical studies. This phase 1/1b first-in-human, MAcrophage Reprogramming in Immuno-Oncology-1 (NCT02637531) study evaluated the safety and tolerability of once-daily eganelisib as monotherapy and in combination with nivolumab in patients with solid tumors.
Patients and Methods:
Dose-escalation cohorts received eganelisib 10–60 mg as monotherapy (n = 39) and 20–40 mg when combined with nivolumab (n = 180). Primary endpoints included incidence of dose-limiting toxicities (DLT) and adverse events (AE).
Results:
The most common treatment-related grade ≥3 toxicities with monotherapy were increased alanine aminotransferase (ALT; 18%), aspartate aminotransferase (AST; 18%), and alkaline phosphatase (5%). No DLTs occurred in the first 28 days; however, toxicities meeting DLT criteria (mostly grade 3 reversible hepatic enzyme elevations) occurred with eganelisib 60 mg in later treatment cycles. In combination, the most common treatment-related grade ≥3 toxicities were increased AST (13%) and increased ALT and rash (10%). Treatment-related serious AEs occurred in 5% of monotherapy patients (grade 4 bilirubin and hepatic enzyme increases in one patient each) and 13% in combination (pyrexia, rash, cytokine release syndrome, and infusion-related reaction in ≥2 patients each). Antitumor activity was observed in combination, including patients who had progressed on PD-1/PD-L1 inhibitors.
Conclusions:
On the basis of the observed safety profile, eganelisib doses of 30 and 40 mg once daily in combination with PD-1/PD-L1 inhibitors were chosen for phase 2 study.
Supplementary Table S1, S2 from MACdb: A Curated Knowledgebase for Metabolic Associations across Human Cancers
Authors: Sun Yanling , Zheng Xinchang , Wang Guoliang , Wang Yibo , Chen Xiaoning , Sun Jiani , Xiong Zhuang , Zhang Sisi , Wang Tianyi , Fan Zhuojing , Bu Congfan , Bao Yiming , Zhao Wenming
Published: April 2023

Supplementary Table S1, S2
Supplementary Methods from MACdb: A Curated Knowledgebase for Metabolic Associations across Human Cancers
Authors: Sun Yanling , Zheng Xinchang , Wang Guoliang , Wang Yibo , Chen Xiaoning , Sun Jiani , Xiong Zhuang , Zhang Sisi , Wang Tianyi , Fan Zhuojing , Bu Congfan , Bao Yiming , Zhao Wenming
Published: April 2023

Supplementary Methods
Supplementary Figure S1, S2, S3 from MACdb: A Curated Knowledgebase for Metabolic Associations across Human Cancers
Authors: Sun Yanling , Zheng Xinchang , Wang Guoliang , Wang Yibo , Chen Xiaoning , Sun Jiani , Xiong Zhuang , Zhang Sisi , Wang Tianyi , Fan Zhuojing , Bu Congfan , Bao Yiming , Zhao Wenming
Published: April 2023

Supplementary Figure S1, S2, S3
Supplementary Figures 1 - 12, Supplementary Tables 1-5 from BLEACH&STAIN 15-marker Multiplexed Imaging in 3,098 Human Carcinomas Reveals Six Major PD-L1–driven Immune Phenotypes with Distinct Spatial Orchestration
Authors: Bady Elena , Möller Katharina , Mandelkow Tim , Raedler Jonas B. , Yang Cheng , Ebner Julia , Lurati Magalie C.J. , Simon Ronald , Vettorazzi Eik , Büscheck Franziska , Luebke Andreas M. , Dum David , Menz Anne , Sauter Guido , Höflmayer Doris , Weidemann Sören , Fraune Christoph , Uhlig Ria , Bernreuther Christian , Jacobsen Frank , Clauditz Till S. , Wilczak Waldemar , Burandt Eike , Steurer Stefan , Minner Sarah , Lennartz Maximilian , Blessin Niclas C.
Published: April 2023

Figure S1a: Representative images of the BLEACH&STAIN 15+1 staining.
Figure S1b: BLEACH&STAIN 15+1 validation.
Figure S2: Deep learning framework for automated cell type identification.
Figure S3: Performance of a Deep Learning-based framework for cell type identification compared to manual set thresholds.
Figure S4: Comparison between BLEACH&STAIN and manual PD-L1 assessment.
Figure S5: Immune phenotype identification.
Figure S6: Association between the immune phenotypes and the individual immune cell parameters.
Figure S7: Representative image of the 6 major immune phenotypes of Figure 2
Figure S8a: Association between PD-L1 phenotypes and clinico-histopathological parameters.
Figure S8b: Distribution of six PD-L1 phenotypes across 44 carcinoma entities.
Figure S9: Spatial orchestration of immune cells across the PD-L1 immune phenotypes.
Figure S10: Representative image of the spatial orchestration shown in Figure 3
Figure S11: Composition of immune cells across the three PD-L1 phenotypes
Figure S12: Prognosis analysis of spatial immune parameters in breast cancer for overall 5-years survival after surgery.
Table S1: TMA cohort of the PD-L1 15+1 study.
Table S2: List of the used antibodies, antigen retrieval (AR), dilutions, and Opal dyes for multiplex fluorescence immunohistochemistry.
Table S3: List of 132 immune cell (sub)population.
Table S4: Associations between spatial parameters and PD-L1 phenotypes were independent from the used threshold.
Table S5: Immune landscape of 3098 human carcinoma samples.
Supplementary Figure 2 from Tumor-Derived CCL5 Recruits Cancer-Associated Fibroblasts and Promotes Tumor Cell Proliferation in Esophageal Squamous Cell Carcinoma
Authors: Dunbar Karen J. , Karakasheva Tatiana A. , Tang Qiaosi , Efe Gizem , Lin Eric W. , Harris Michael , Sahu Varun , Sachdeva Uma M. , Hu Jianhua , Klein-Szanto Andres J. , Henick Brian , Diehl J. Alan , Nakagawa Hiroshi , Rustgi Anil K.
Published: April 2023

Loss of tumor-derived CCL5 reduces tumor cell proliferation in TE-1 cells.
Supplementary Figure 1 from Tumor-Derived CCL5 Recruits Cancer-Associated Fibroblasts and Promotes Tumor Cell Proliferation in Esophageal Squamous Cell Carcinoma
Authors: Dunbar Karen J. , Karakasheva Tatiana A. , Tang Qiaosi , Efe Gizem , Lin Eric W. , Harris Michael , Sahu Varun , Sachdeva Uma M. , Hu Jianhua , Klein-Szanto Andres J. , Henick Brian , Diehl J. Alan , Nakagawa Hiroshi , Rustgi Anil K.
Published: April 2023

Confirmation of CCL5 knockout clones.