bluuebunny/crossref_metadata_2025 huggingface dataset:
Intertwining noncommutativity with gravity and particle physics
Authors: Manolakos G. , Manousselis P. , Roumelioti D. , Stefas S. , Zoupanos G.
Published: May 2023

Here we present an overview on the various works, in which many collaborators have contributed, regarding the interesting dipole of noncommutativity and physics. In brief, we present the features that noncommutativity triggers both in the fields of gravity and particle physics, from a matrix-realized perspective, with the notion of noncommutative gauge theories to play the most central role in the whole picture. Also, under the framework of noncommutativity, we examine the possibility of unifying the two fields (gravity-particle physics) in a single configuration.
The semiclassical limit of quantum gravity and the problem of time
Authors: Oña R. I. Ayala , Kalmykov M. B. , Kislyakova D. P. , Shestakova T. P.
Published: May 2023

The question about the appearance of time in the semiclassical limit of quantum gravity continues to be discussed in the literature. It is believed that a temporal Schrödinger equation for matter fields on the background of a classical gravitational field must be true. To obtain this equation, the Born–Oppenheimer approximation for gravity is used. However, the origin of time in this equation is different in works of various authors. For example, in the papers of Kiefer and his collaborators, time is a parameter along a classical trajectory of gravitational field; in the works of Montani and his collaborators, the origin of time is introducing the Kuchař–Torre reference fluid; in the extended phase space approach, the origin of time is the consequence of existing of the observer in a fixed reference frame. We discuss and compare these approaches. To make the calculations transparent, we illustrate them with the model of a closed isotropic universe. In each approach, one obtains some Schrödinger equation for matter fields with quantum gravitational corrections, but the form of the equation and the corrections depend on additional assumptions which are rather arbitrary. None of the approaches can explain how time had appeared in the Early Universe, since it is supposed that classical gravity and, therefore, classical spacetime had already come into being.
DEEP LEARNING FOR SEGMENTATION AND COUNTING OF WHITE BLOOD CELLS IN CLINICAL DIAGNOSIS
Authors: BENDIABDALLAH MOHAMMED HAKIM , SETTOUTI NESMA
Published: May 2023

In the field of cytopathology, the accurate identification and counting of white blood cells (WBCs) in blood smears is crucial for diagnosing various types of cancer. The process of manually detecting and segmenting these structures, however, can be challenging due to their variable morphologies and the presence of overlapping objects in the images. This makes manual detection time-consuming, labor-intensive, and prone to error, particularly for individuals without extensive experience in cytopathology. In this paper, a deep learning algorithm is developed based on a Mask R-CNN model and driven by a sub-algorithm called KOWN (Keep Only White Blood Cells with Nuclei) for WBC segmentation and counting. The proposed algorithm improves the accuracy of measurements compared to other rapidly growing deep learning works, providing maximum precision in detecting and counting WBCs in both low- and high-blood-cell-density images.
Optical quantum longitudinal conformable normalization energy of timelike spherical magnetic fibers
Authors: Körpinar Talat , Körpinar Zeliha , Özdemir Hatice
Published: May 2023

In this work, we calculate new concept for their Fermi–Walker conformable derivatives with spherical timelike magnetic fiber in spherical de-Sitter space [Formula: see text]. The description is advanced for timelike magnetic trajectory. First, we find conformable fractional derivatives of spherical magnetic Lorentz fields. Moreover, we compute the Fermi–Walker conformable derivatives of the normalization and recursion operators for these spherical vector fields. Furthermore, we give some characterizations of Lorentz fields of electromagnetic fields of associated with spherical magnetic conformable particle. Finally, we obtain the energy of the conformable derivative of the normalization function of the Lorentz forces and we have energy relations of some vector fields associated with spherical frame in the de-Sitter space [Formula: see text].
On the anisotropic bouncing universe with viscosity
Authors: Singh Ashutosh , Raushan Rakesh , Chaubey Raghavendra
Published: May 2023

We investigate the role of bulk and shear viscosity in the spatially homogeneous anisotropic spacetime, in particular, the Kantowski–Sachs (KS) spacetime. General conditions for the bouncing evolution of universe in anisotropic background have been obtained by using the derived propagation equations of expansion scalar, shear scalar and spatial 3-curvature. We show that the presence of shear viscosity in the model prohibits the energy density to attain its extremum in the bouncing model. We explore the qualitative behavior of KS cosmologies by formulating the Einstein’s field equations into a plane-autonomous system of equations by taking dimensionless equation of state. The stability of the system has been investigated by evaluating and analyzing the eigenvalues at the critical points. The stable solutions exist for the system composed of bulk and shear viscosity. The present analysis through dynamical system method illustrates that the universe does not exhibit synchronous bounce with perfect fluid and/or viscous fluids in the KS spacetime.
3D Simulation of Appendage Effect on the Submarine Drag
Authors: Nouri Abdelmadjid , Demim Fethi , Nemra Abdelkrim
Published: May 2023

Over the last decade, the focus on the use of computer tools to assess flows around submarines and guide their design has been considerably developed. In particular, with the emergence of parallel computational capabilities, RANS simulations of viscous flows have seen a greater role in predicting these flow fields. The shift to a much more CFD-based design and analysis approach leads to the ability to achieve better designs in the shortest time. This makes it possible to classify several ranges of designs as well as to provide an entire image of the flow field, which can lead to a better understanding of the flow field’s physics. The aim of this study consists of a 3D numerical simulation of the turbulent flow around a submarine without and with appendages to quantify the effect of each appendage on total drag and to study the interaction between the submarine hull and its appendages. The hydrodynamic turbulent flow behavior around the well-defined shape is described using the ANSYS CFX code to resolve the RANS governing equations. Good agreement is obtained from the validation of the numerical results confirming the efficiency of the method in terms of computational time and robustness. The numerical approach is adopted to predict the flow field and forces and moments acting on the underwater vehicle for different maneuvering cases and simulation results have been presented.
Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts
Authors: Carré Sylvain , Gabriel Franck , Hongler Clément , Lacerda Gustavo , Capano Gloria
Published: May 2023

We introduce the
SPRIG (Smart Proofs via Recursive Information Gathering)
protocol. SPRIG allows agents to propose, question, and defend mathematical proofs in a decentralized fashion. A structure of stakes and bounties aims at producing debates in good faith and if those persist, they must go down to machine-level details, where they can be settled automatically. This combination of economic incentives and an oracle is designed to promote succinct and informative proofs. SPRIG can run autonomously as a smart contract on a blockchain platform, and hence it does not rely on a central trusted institution.

We translate SPRIG into a general game-theoretic model and prove that the protocol satisfies two desirable properties: no spamming and monotonicity. We then characterize analytically the equilibrium of a simple two-player specification of the model: this provides important insights into the impact of the protocol’s parameters on the probabilities that it induces type I/II errors. We conclude by discussing the main attacks SPRIG’s designers will need to take into account.
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation
Authors: Zhang Yihao , Zhao Chu , Liao Weiwen , Zhou Wei , Yuan Meng
Published: May 2023

Popularity bias is a massive challenge for autoencoder-based models, which decreases the level of personalization and hurts the fairness of recommendations. User reviews reflect their preferences and help mitigate bias or unfairness in the recommendation. However, most existing works typically incorporate user (item) reviews into a long document and then use the same module to process the document in parallel. Actually, the set of user reviews is completely different from the set of item reviews. User reviews are heterogeneous in that they reflect a variety of items purchased by users, while item reviews are only related to the item itself and are thus typically homogeneous. In this article, a novel asymmetric attention network fused with autoencoders is proposed, which jointly learns representations from the user and item reviews and implicit feedback to perform recommendations. Specifically, we design an asymmetric attentive module to capture rich representations from user and item reviews, respectively, which solves data sparsity and explainable problems. Furthermore, to further address popularity bias, we apply a noise-contrastive estimation objective to learn high-quality “de-popularity” embedding via the decoder structure. A series of extensive experiments are conducted on four benchmark datasets to show that leveraging user review information can eliminate popularity bias and improve performance compared to various state-of-the-art recommendation techniques.
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior
Authors: Li Tong , Li Yong , Zhang Mingyang , Tarkoma Sasu , Hui Pan
Published: May 2023

Mobile apps have become an indispensable part of people’s daily lives. Users determine what apps to use and when and where to use them based on their tastes, interests, and personal demands, depending on their personality traits. This article aims to infer user profiles from their spatiotemporal mobile app usage behavior. Specifically, we first transform mobile app usage records into a heterogeneous graph. On the graph, nodes represent users, apps, locations, and time slots. Edges describe the co-occurrence of entities in usage records. We then develop a multi-relational heterogeneous graph attention network (MRel-HGAN), an end-to-end system for user profiling. MRel-HGAN first adopts a neighbor sampling strategy based on bootstrapping to sample heavily connected neighbors of a fixed size for each node. Next, we design a relational graph convolutional operation and a multi-relational attention operation. Through such modules, MRel-HGAN can generate node embedding by sufficiently leveraging the rich semantic information of the multi-relational structure in the mobile app usage graph. Experimental results on real-world mobile app usage datasets show the effectiveness and superiority of our MRel-HGAN in the user profiling task for attributes of gender and age.
Self-triggered Control with Energy Harvesting Sensor Nodes
Authors: Stricker Naomi , Lian Yingzhao , Jiang Yuning , Jones Colin N. , Thiele Lothar
Published: May 2023

Distributed embedded systems are pervasive components jointly operating in a wide range of applications. Moving toward energy harvesting powered systems enables their long-term, sustainable, scalable, and maintenance-free operation. When these systems are used as components of an automatic control system to sense a control plant, energy availability limits when and how often sensed data are obtainable and therefore when and how often control updates can be performed. The time-varying and non-deterministic availability of harvested energy and the necessity to plan the energy usage of the energy harvesting sensor nodes ahead of time, on the one hand, have to be balanced with the dynamically changing and complex demand for control updates from the automatic control plant and thus energy usage, on the other hand. We propose a hierarchical approach with which the resources of the energy harvesting sensor nodes are managed on a long time horizon and on a faster timescale, self-triggered model predictive control controls the plant. The controller of the harvesting-based nodes’ resources schedules the future energy usage ahead of time and the self-triggered model predictive control incorporates these time-varying energy constraints. For this novel combination of energy harvesting and automatic control systems, we derive provable properties in terms of correctness, feasibility, and performance. We evaluate the approach on a double integrator and demonstrate its usability and performance in a room temperature and air quality control case study.
Methods and Insights from Single-Cell Expression Quantitative Trait Loci
Authors: Kang Joyce B. , Raveane Alessandro , Nathan Aparna , Soranzo Nicole , Raychaudhuri Soumya
Published: May 2023

Recent advancements in single-cell technologies have enabled expression quantitative trait locus (eQTL) analysis across many individuals at single-cell resolution. Compared with bulk RNA sequencing, which averages gene expression across cell types and cell states, single-cell assays capture the transcriptional states of individual cells, including fine-grained, transient, and difficult-to-isolate populations at unprecedented scale and resolution. Single-cell eQTL (sc-eQTL) mapping can identify context-dependent eQTLs that vary with cell states, including some that colocalize with disease variants identified in genome-wide association studies. By uncovering the precise contexts in which these eQTLs act, single-cell approaches can unveil previously hidden regulatory effects and pinpoint important cell states underlying molecular mechanisms of disease. Here, we present an overview of recently deployed experimental designs in sc-eQTL studies. In the process, we consider the influence of study design choices such as cohort, cell states, and ex vivo perturbations. We then discuss current methodologies, modeling approaches, and technical challenges as well as future opportunities and applications.
Engineering the Crop Microbiota Through Host Genetics
Authors: Escudero-Martinez Carmen , Bulgarelli Davide
Published: May 2023

The microbiota populating the plant–soil continuum defines an untapped resource for sustainable crop production. The host plant is a driver for the taxonomic composition and function of these microbial communities. In this review, we illustrate how the host genetic determinants of the microbiota have been shaped by plant domestication and crop diversification. We discuss how the heritable component of microbiota recruitment may represent, at least partially, a selection for microbial functions underpinning the growth, development, and health of their host plants and how the magnitude of this heritability is influenced by the environment. We illustrate how host–microbiota interactions can be treated as an external quantitative trait and review recent studies associating crop genetics with microbiota-based quantitative traits. We also explore the results of reductionist approaches, including synthetic microbial communities, to establish causal relationships between microbiota and plant phenotypes. Lastly, we propose strategies to integrate microbiota manipulation into crop selection programs. Although a detailed understanding of when and how heritability for microbiota composition can be deployed for breeding purposes is still lacking, we argue that advances in crop genomics are likely to accelerate wider applications of plant–microbiota interactions in agriculture.
Systemic Immune-Inflammatory Index, Tumor-Infiltrating Lymphocytes, and Clinical Outcomes in Esophageal Squamous Cell Carcinoma Receiving Concurrent Chemoradiotherapy
Authors: Yang Jun , Zheng Jifang , Qiu Jianjian , Zhang Mengyan , Liu Lingyun , Wang Zhiping , Zheng Qunhao , Liu Yanyan , Chen Mingqiu , Li Jiancheng
Published: May 2023

Background. Systemic inflammation may be involved in the entire cancer process as a promoter and is associated with antitumor immunity. The systemic immune-inflammation index (SII) has been shown to be a promising prognostic factor. However, the relationship between SII and tumor-infiltrating lymphocytes (TIL) have not been established in esophageal cancer (EC) patients receiving concurrent chemoradiotherapy (CCRT). Methods. Retrospective analysis of 160 patients with EC was performed, peripheral blood cell counts were collected, and TIL concentration was assessed in H&E-stained sections. Correlations of SII and clinical outcomes with TIL were analyzed. Cox proportional hazard model and Kaplan–Meier method were used to perform survival outcomes. Results. Compared with high SII, low SII had longer overall survival (OS) (

P
=
0.036

, hazard ratio (HR) = 0.59) and progression-free survival (PFS) (

P
=
0.041

, HR = 0.60). Low TIL showed worse OS (

P
<
0.001

, HR = 2.42) and PFS (

P
<
0.001

, HR = 3.05). In addition, research have shown that the distribution of SII, platelet-to-lymphocyte ratio, and neutrophil-to-lymphocyte ratio were negatively associated with the TIL state, while lymphocyte-to-monocyte ratio presented a positive correlation. Combination analysis observed that SIIlow + TILhigh had the best prognosis of all combinations, with a median OS and PFS of 36 and 22 months, respectively. The worst prognosis was identified as SIIhigh + TILlow, with a median OS and PFS of only 8 and 4 months. Conclusion. SII and TIL as independent predictors of clinical outcomes in EC receiving CCRT. Furthermore, the predictive power of the two combinations is much higher than a single variable.
Experimental and Numerical Simulation Research on Combustion and NOx Emission of Low Calorific Value and High-Alkaline Coal Based on Jet Characteristics of Flow Field
Authors: Li Yaode , Qiao Mingshuai , Shen Pengyu , Chen Mei
Published: May 2023

A numerical model of a tower boiler burning low calorific value and high-alkali coal was established; based on the jet rigidity of the flow field in the furnace, the effects of air velocity and air volume flow on the combustion of high-alkali coal and NOx emissions were studied. The optimal parameters obtained by numerical simulation are applied to a typical experimental boiler. The experimental results show that when SOFA operates at about 65 m/s, the rigidity of the jet is obviously increased, the flow field and temperature field in the furnace are uniform, the temperature of the flue gas at the outlet is reduced by 53 K, the CO concentration at the furnace outlet was reduced from 3713 ppm to 57 ppm, the exhaust gas temperature was reduced by 6 K, and the concentration of NOx is reduced to 163 mg/m3. On the other hand, the combustion efficiency is increased by 0.86%, which translates into 2 g/kwh of standard coal, and the problem of easy coking has also been effectively solved. The collaborative optimization of high-alkali coal combustion and NOx emission is realized.
Severity and Determinants of Anemia in TB/HIV Coinfected Adults at Mekelle, Ethiopia: Hospital Based Retrospective Study
Authors: Gezae Kebede Embaye , Hagos Kiflom , Gebreslassie Assefa Ayalew
Published: May 2023

Background. Anemia has up to 87% prevalence in high tuberculosis (TB) and human immunodeficiency virus (HIV) burden settings of the sub-Saharan Africa (SSA) including Ethiopia. It increases lost to follow-up (LTFU) rate, reduces quality of life, and shortens the survival of TB/HIV coinfected patients. However, there is limited information on severity level and determinants of anemia in TB/HIV coinfected adults in the study setting in particular. Therefore, this study is aimed to assess severity level and determinants of TB/HIV-associated anemia. Methods. A hospital based retrospective study was conducted among 305 TB/HIV coinfected adults who enrolled for antiretroviral therapy (ART) from January, 2009 to December, 2016 in two public hospital of Mekelle, Ethiopia, by reviewing ART register. A multiple logit model was fitted to identify the baseline determinants of anemia using 95% confidence level or 5% level of significance for adjusted odds ratio (AOR). Results. In the current study, the cumulative baseline prevalence of anemia was 59.0% (95% CI: 53.3%–64.6%). Considering severity level, the prevalence was 6.2%, 28.2%, and 24.6% for severe, moderate, and mild anemia, respectively. Being female (AOR = 0.380; 95% CI: 0.226–0.640), body mass index (AOR = 0.913; 95% CI: 0.836–0.998) reduces the odds of developing anemia whereas baseline ambulatory functional status (AOR = 2.139; 95% CI: 1.189–3.846), bedridden functional status (AOR = 2.208; 95% CI: 1.002–4.863), HIV clinical stage III (AOR = 2.565; 95% CI: 1.030–6.384), and HIV clinical stage IV (AOR = 2.590; 95% CI: 1.006–6.669) increased the odds of developing anemia for TB/HIV coinfected adults. Conclusions. In the current study, significant TB/HIV-associated severe anemia was assessed which accounted for nearly one-ninth of all anemia cases while nearly half were moderate anemia. Therefore, curious attention has to be given for the management of TB/HIV-associated severe anemia in particular and anemia in general to reducing anemia associated bad outcomes most importantly death.
Research on Elastic Composite Cylindrical Roller Bearing Contact Fatigue Based on the Subsurface Stress
Authors: Yang Wen , Yao Qishui , Yu Jianghong , Kuang Yunxin , Huang Jianfeng
Published: May 2023

In order to study the elastic contact fatigue problems of composite cylindrical roller bearing, through the three stages of contact fatigue crack initiation, propagation, and ablating of cylindrical roller bearing theoretically analyzed, the subsurface stress is one of the factors of contact fatigue damage. By finite element method and theoretical analytic method with solid cylindrical roller bearing contact surface, the size and distribution of shear stress are analyzed, and comparing the calculation results of two methods, the comparison results show that the finite element method to calculate the bearing contact problem is scientific and reasonable. Through the finite element method of cylindrical roller bearing and elastic composite cylindrical roller bearing subsurface shear stress and equivalent stress on the surface of numerical analysis, the calculation results show that the subsurface stress value of elastic composite cylindrical roller bearings was 31.65% smaller than that of ordinary cylindrical roller bearings, and the distribution of the maximum subsurface stress value of elastic composite cylindrical roller bearings was shallower than that of cylindrical roller bearings. The elastic composite cylindrical roller bearings have significant advantages over cylindrical roller bearings in terms of subsurface stress and have stronger resistance to contact fatigue damage. The finite element method is used to analyze the subsurface stress of elastic composite cylindrical roller bearings with different filling degrees. The results show that the subsurface shear stress and equivalent stress values of elastic composite cylindrical roller bearings with filling degrees of 55% to 65% are maintained at a relatively low level, and the depth of the maximum stress is minimal, which is basically distributed on the surface of the rolling body. The magnitude and distribution of subsurface stresses in elastic composite cylindrical roller bearings provide a reference for more reasonable structural design.
A Wideband, Sharp Roll-Off U-Band Diplexer in Suspended Stripline Technology
Authors: Miri Seyed-Milad , Mohammadpour-Aghdam Karim , Miri Seyed-Omidreza
Published: May 2023

This paper presents a low-loss, sharp roll-off, and wideband millimeter-wave contiguous diplexer implemented on 0.127 mm-thick TLY5 dielectric material to separate U-band frequency range into two jointed frequency ranges of 40-50 GHz and 50-60 GHz using two low-pass and high-pass filter channels. In order to integrate the diplexer in the front end of a wideband millimeter-wave down-converter and evaluate the frequency response, the proposed diplexer is supported by three add-on waveguide-to-suspended-stripline transitions. The final design of diplexer consisting of a low-pass filter with cut-off frequency of 50 GHz, a pseudo-high-pass filter with crossover at 50 GHz, and a T-junction is analyzed and optimized together with a 3D full-wave simulator. The realized diplexer features a VSWR of 2.5 : 1 across the entire operation frequency band of 40-60 GHz, low passband insertion loss of less than 2 dB in both channels, stopband rejection higher than 45 dB, and compact size with dimensions of

27
×
13

 mm2 due to its intelligent and guided design and technology selection.
Supplemental Figure 2 from Sugar- and Artificially-Sweetened Beverages and Cancer Mortality in a Large U.S. Prospective Cohort
Authors: McCullough Marjorie L. , Hodge Rebecca A. , Campbell Peter T. , Guinter Mark A. , Patel Alpa V.
Published: May 2023

Supplemental Figure 2: Associations of ASB consumption and cancer mortality stratified by 10-year follow-up period (≥2 drinks/day vs never, HR and 95% CI) among men and women in the CPS-II cohort (1982-2016)
Supplemental Figure 1 from Sugar- and Artificially-Sweetened Beverages and Cancer Mortality in a Large U.S. Prospective Cohort
Authors: McCullough Marjorie L. , Hodge Rebecca A. , Campbell Peter T. , Guinter Mark A. , Patel Alpa V.
Published: May 2023

Supplemental Figure 1: Associations of SSB consumption and cancer mortality stratified by 10-year follow-up period (≥2 drinks/day vs never, HR and 95% CI) among men and women in the CPS-II cohort (1982-2016)
Supplementary Table S2 from Tobacco Smoke Is a Major Source of Aromatic Amine Exposure in U.S. Adults: 2013–2014 National Health and Nutrition Examination Survey (NHANES)
Authors: Seyler Tiffany , Mazumder Shrila , Ahamed Rayaj , Zhu Wanzhe , Blount Benjamin C. , Apelberg Benjamin J. , Wang Lanqing
Published: May 2023

Supplementary Table S2: Sample-weighted multiple regression results with dietary categories for urinary 1AMN, 2AMN, 4ABP (n = 1,845) among participants who smoked cigarette exclusively and nonusers of tobacco products, 2013-2014 NHANES
Supplementary Table S1 from Tobacco Smoke Is a Major Source of Aromatic Amine Exposure in U.S. Adults: 2013–2014 National Health and Nutrition Examination Survey (NHANES)
Authors: Seyler Tiffany , Mazumder Shrila , Ahamed Rayaj , Zhu Wanzhe , Blount Benjamin C. , Apelberg Benjamin J. , Wang Lanqing
Published: May 2023

Supplementary Table S1: Details of USDA food codes and logic for apportioning dietary intake used in our analysis
Supplementary Figure S1 from Tobacco Smoke Is a Major Source of Aromatic Amine Exposure in U.S. Adults: 2013–2014 National Health and Nutrition Examination Survey (NHANES)
Authors: Seyler Tiffany , Mazumder Shrila , Ahamed Rayaj , Zhu Wanzhe , Blount Benjamin C. , Apelberg Benjamin J. , Wang Lanqing
Published: May 2023

Supplementary Figure S1. Chemical structures of five AAs. Analytes that were monitored for isomeric separation but not quantified are indicated with an asterisk.
Supplementary Table 2 from Updated Review of Major Cancer Risk Factors and Screening Test use in the United States, with a Focus on Changes During the COVID-19 Pandemic
Authors: Star Jessica , Bandi Priti , Nargis Nigar , Islami Farhad , Yabroff K. Robin , Minihan Adair K. , Smith Robert A. , Jemal Ahmedin
Published: May 2023

Obesity and smoking prevalence by state from 2019 to 2021.
Supplementary Table 1 from Updated Review of Major Cancer Risk Factors and Screening Test use in the United States, with a Focus on Changes During the COVID-19 Pandemic
Authors: Star Jessica , Bandi Priti , Nargis Nigar , Islami Farhad , Yabroff K. Robin , Minihan Adair K. , Smith Robert A. , Jemal Ahmedin
Published: May 2023

Weighted population estimates of major cancer risk factors, preventive behaviors and services, and up-to-date cancer screening.
Supplementary Table S8 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Hazard ratios (HR) and 95% confidence intervals (95% CI) for the association of 2-year post-diagnosis lifestyle with all-cause mortality, breast cancer-mortality, and breast cancer recurrence among women diagnosed with stage I–III breast cancer.
Supplementary Table S7 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Subdistribution hazard ratios (sdHR) and 95% confidence intervals (95% CI) for the association of 2-year post-diagnosis lifestyle with breast cancer-specific mortality (n=1,736) and breast cancer recurrence (n=1,705).
Supplementary Table S6 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Hazard Ratios and 95% Confidence Intervals for Associations of each of the 9 Components of the 2-Year Post-Diagnosis Lifestyle Score with All-Cause Mortality, Breast Cancer-Specific Mortality, and Breast Cancer Recurrence, Excluding Deaths and Recurrences Occurring within 4 Years of Diagnosis.
Supplementary Table S5 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Posterior Median Hazard Ratios and 95% Credible Intervals from Piecewise Exponential Proportional Hazards Model for All-Cause Mortality, Breast Cancer-Specific Mortality, and Breast Cancer Recurrence in the Pathways Study
Supplementary Table S4 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Interactions Between the 2-Year Post-Diagnosis Lifestyle score and Selected Characteristics with All-Cause Mortality, Breast Cancer-Specific Mortality, and Breast Cancer Recurrence in the Pathways Study.
Supplementary Table S3 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Multivariable Cox Proportional Hazards Models for the Associations of Changes in Components of the Lifestyle Score on All-Cause Mortality and Breast Cancer Recurrence in the Pathways Study.
Supplementary Table S2 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Hazard ratios and 95% confidence intervals for associations of each of the 9 components of the 2-year post-diagnosis lifestyle score with all-cause mortality.
Supplementary Table S1 from Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer
Authors: Troeschel Alyssa N. , Hartman Terryl J. , McCullough Lauren E. , Ergas Isaac J. , Collin Lindsay J. , Kwan Marilyn L. , Ambrosone Christine B. , Flanders W. Dana , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Wang Ying , Valice Emily , Kushi Lawrence H.
Published: May 2023

Categorization of the modified baseline and 2-year post-diagnosis lifestyle scores.
Supplementary Table 2 from Recent Mortality Patterns and Time Trends for the Major Cancers in 47 Countries Worldwide
Authors: Sedeta Ephrem , Sung Hyuna , Laversanne Mathieu , Bray Freddie , Jemal Ahmedin
Published: May 2023

Supplementary Table 2. Age-standardized mortality rate (ASR) per 100,000 person-years, 10-year average annual percent change (AAPC), and 5-year AAPC for 8 cancers by sex for 47 countries (bold font indicates statistically significant AAPC at p<0.05)
Supplementary Table 1 from Recent Mortality Patterns and Time Trends for the Major Cancers in 47 Countries Worldwide
Authors: Sedeta Ephrem , Sung Hyuna , Laversanne Mathieu , Bray Freddie , Jemal Ahmedin
Published: May 2023

Supplementary Table 1. Country and time-period available for trend analysis of cancer mortality
Supplementary Figure 2 from Recent Mortality Patterns and Time Trends for the Major Cancers in 47 Countries Worldwide
Authors: Sedeta Ephrem , Sung Hyuna , Laversanne Mathieu , Bray Freddie , Jemal Ahmedin
Published: May 2023

Supplementary Figure 2. Age-standardized mortality rates per 100,000 person-years and ten-year average annual percent change in cervical cancer in 47 countries.
Supplementary Table S3 from Devimistat in Combination with Gemcitabine and Cisplatin in Biliary Tract Cancer: Preclinical Evaluation and Phase Ib Multicenter Clinical Trial (BilT-04)
Authors: Mohan Arathi , Griffith Kent A. , Wuchu Fulei , Zhen David B. , Kumar-Sinha Chandan , Crysler Oxana , Hsiehchen David , Enzler Thomas , Dippman Dominique , Gunchick Valerie , Achreja Abhinav , Animasahun Olamide , Choppara Srinadh , Nenwani Minal , Chinnaiyan Arul M. , Nagrath Deepak , Zalupski Mark M. , Sahai Vaibhav
Published: May 2023

Prior and Posterior Estimates for Probability of Dose-Limiting Toxicity
Supplementary Table S1 from Devimistat in Combination with Gemcitabine and Cisplatin in Biliary Tract Cancer: Preclinical Evaluation and Phase Ib Multicenter Clinical Trial (BilT-04)
Authors: Mohan Arathi , Griffith Kent A. , Wuchu Fulei , Zhen David B. , Kumar-Sinha Chandan , Crysler Oxana , Hsiehchen David , Enzler Thomas , Dippman Dominique , Gunchick Valerie , Achreja Abhinav , Animasahun Olamide , Choppara Srinadh , Nenwani Minal , Chinnaiyan Arul M. , Nagrath Deepak , Zalupski Mark M. , Sahai Vaibhav
Published: May 2023

Agilent and Resipher Assays in the TKF-1, RCB1292 and RCB1293 BTC Cell Lines in Figure 1B and 1C
Supplementary Figure S1 from Devimistat in Combination with Gemcitabine and Cisplatin in Biliary Tract Cancer: Preclinical Evaluation and Phase Ib Multicenter Clinical Trial (BilT-04)
Authors: Mohan Arathi , Griffith Kent A. , Wuchu Fulei , Zhen David B. , Kumar-Sinha Chandan , Crysler Oxana , Hsiehchen David , Enzler Thomas , Dippman Dominique , Gunchick Valerie , Achreja Abhinav , Animasahun Olamide , Choppara Srinadh , Nenwani Minal , Chinnaiyan Arul M. , Nagrath Deepak , Zalupski Mark M. , Sahai Vaibhav
Published: May 2023

Study Schema
Supplementary Table 4 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Table 4. Baseline clinicopathologic features of patients with ATM mutated NSCLC according ATM protein expression by immunohistochemistry.
Supplementary Table 3 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Table 3. Baseline clinicopathologic features of patients with ATMMUT and ATMWT NSCLC at the Dana-Farber Cancer Institute and Memorial Sloan Kettering Cancer Center.
Supplementary Table 2 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Table 2. List of potential ATM germline variants identified among 3800 patients with NSCLC at the DFCI
Supplementary Table 1 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Table 1. Baseline clinicopathologic features of the 5172 patients with NSCLC which underwent comprehensive tumor genomic profiling at the Dana-Farber Cancer Institute and Memorial Sloan Kettering Cancer Center.
Supplementary Figure 7 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 7. (A) Histograms showing the distribution of deleterious class I and class II ATM mutations with lost or intact ATM protein expression by IHC. (B) Histograms showing the distribution of deleterious missense, nonsense, splice site, and insertion/deletion mutations with lost or intact ATM protein expression by IHC. (C) proportion of NSCLCs with predicted benign and predicted pathogenic ATM missense mutations with lost and intact ATM expression by IHC.
Supplementary Figure 6 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 6. (A) Tumor mutational burden and (B) PD-L1 tumor proportion score distributions according to ATM protein expression by IHC (lost versus intact).
Supplementary Figure 5 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 5. (A) Median distance of each missense mutation from the closest intron start. (B) Median distance of each missense mutation from the closest intron end. (C) Proportion of cases with ATM loss and ATM intact expression by IHC in NSCLC samples with ATM mutation and ATM loss-of-heterozygosity (LOH).
Supplementary Figure 27 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 27. Tumor mutational burden in NSCLC samples which underwent NGS at the DFCI and MSK according to ATM/TP53 co-mutation status.
Supplementary Figure 26 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 26. Proportion of (A) tumor, (B) non-tumor, and (C) total PD-L1+ cells according to ATM/TP53 co-mutation status.
Supplementary Figure 25 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 25. (A) Intratumoral, (B) tumor-stroma interface, and (C) total CD8+ PD1+ T cells according to ATM/TP53 co-mutation status. (D) Intratumoral, (E) tumor-stroma interface, and (F) total FOXP3+ immune cells according to ATM/TP53 co-mutation status.
Supplementary Figure 23. from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 23. Correlation of intratumoral, tumor-stroma interface, and total CD8+, PD1+, CD8+PD1+, FOXP3+ T cells and tumoral and non-tumoral PD-L1+ cells among ATMMUT NSCLCs.
Supplementary Figure 22. from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 22. Proportion of (A) tumor, (B) non-tumor, and (C) total PD-L1+ cells in ATMMUT and ATMWT NSCLCs.
Supplementary Figure 21 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 21. (A) Intratumoral, (B) tumor-stroma interface, and (C) total CD8+ PD1+ T cells in ATMMUT and ATMWT NSCLCs. (D) Intratumoral, (E) tumor-stroma interface, and (F) total FOXP3+ immune cells in ATMMUT and ATMWT NSCLCs.