bluuebunny/crossref_metadata_2025 huggingface dataset:
Three-body strong decays of the Y(4230) via the light-cone QCD sum rules
Authors: Wang Zhi-Gang
Published: December 2023

In this paper, we tentatively assign the [Formula: see text] as the vector tetraquark state with a relative P-wave between the scalar diquark pair, and explore the three-body strong decays [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] with the light-cone QCD sum rules by assuming contact four-meson coupling constants. The resulting partial decay widths are too small to account for the experimental data, and we expect those decays take place through an intermediate meson. We can search for the intermediate states and precisely measure the branching fractions to diagnose the nature of the Y states.
Applying Scrum to Knowledge Transfer Among Software Developers
Authors: Ibarra-Torres Fernando , Urbieta Matias , Medina-Medina Nuria
Published: December 2023

In the teaching-learning processes, research and continuous innovation are encouraged. Now, when talking about innovation, the concept of adapting methodologies that have been successfully applied to speed up and increase the quality of software projects begins to emerge, is the case of agile software development methodologies. Scrum is one of the most widely used methodologies in the software development process, it increases productivity and deliverable quality of software development teams, but there is not much evidence of how to use it to structure learning content and its use to transfer new knowledge in training or software development contexts. To fill this gap, this research analyzes the applicability of Scrum for transferring new knowledge among software developers is developed. In this paper, we describe the details of how to start transferring knowledge using Scrum, guiding the reader through its standards, processes, phases, and objectives. We also report an experiment for improving students’ performance to support the approach’s benefits in the academy context and a case study performed inside the company context.
Complicated generalized torsion elements in Seifert fibered spaces with boundary
Authors: Himeno Keisuke
Published: December 2023

In a group, a nontrivial element is called a generalized torsion element if some non-empty finite product of its conjugates is equal to the identity. There are various examples of torsion-free groups which contain generalized torsion elements. We can define the order of a generalized torsion element as the minimum number of its conjugates required to generate the identity. In previous works, three-manifold groups which contain a generalized torsion element of order two are determined. However, there are few previous studies that examine the order of a generalized torsion element bigger than two. In this paper, we focus on Seifert fibered spaces with boundary, including the torus knot exteriors, and construct concretely generalized torsion elements of order [Formula: see text], [Formula: see text], [Formula: see text] and others in their fundamental groups.
Modified symmetrized integral in G-coalgebras
Authors: Geer Nathan , Ha Ngoc Phu , Patureau-Mirand Bertrand
Published: December 2023

For [Formula: see text] a commutative group, we give a purely Hopf [Formula: see text]-coalgebra construction of [Formula: see text]-colored [Formula: see text]-manifolds invariants using the notion of modified integral.
Gauss diagram formulae for Vassiliev invariants from Kauffman polynomial
Authors: Zhang Butian
Published: December 2023

A state model for Kauffman polynomial of Dubrovnik-version is described using Gauss diagrams. Based on the state model, the Gauss diagram formulae for Vassiliev invariants are given from the coefficients of Kauffman polynomial following the method of Chmutov and Polyak. Some arrow diagram identities are given to simplify the Gauss diagram formulae of order 3, which give Polyak–Viro and Chmutov–Polyak formulae for the Vassiliev invariant of order 3. The models of Kauffman polynomial and HOMFLY-PT polynomial give different Gauss diagram expressions when specializing in Jones polynomial.
An invariant of virtual trivalent spatial graphs
Authors: Carr Evan , Scherich Nancy , Tamagawa Sherilyn
Published: December 2023

We create an invariant of virtual [Formula: see text]-oriented trivalent spatial graphs using colorings by virtual Niebrzydowski algebras. This paper generalizes the color invariants using virtual tribrackets and Niebrzydowski algebras by Nelson–Pico, and Graves-Nelson-T. We computed all tribrackets, Niebrzydowski algebras and virtual Niebrzydowski algebras of orders 3 and 4, and provide generative code for all data sets.
FIRST-PRINCIPLES COMPUTATIONAL INSIGHTS INTO SILICON-BASED ANODE MATERIALS: RECENT PROGRESS AND PERSPECTIVES
Authors: SONG JUN , JIANG MINGJIE , LI HUIJIE , WAN CHI , CHU XIAOWAN , ZHANG QI , CHEN YUHUI , WU XUEHONG , ZHANG XUEQING , LIU JUANFANG , LIU SAILIN
Published: December 2023

Silicon-based material is one of the most promising substitutes for commercial graphite anodes for the next generation lithium-ion batteries due to its extremely high theoretical capacity. However, the huge volume changes during the charging and discharging processes will cause rapid capacity decay and a short cycle life. Developing novel silicon-based materials requires a fundamental understanding of their properties. However, in many cases, the present experiments are incapable of completely mimicking real battery-operation conditions, and detailed information about the electrochemical mechanisms and ion and electron kinetic transport at the electrode/electrolyte interface is still ambiguous due to their complexity. First-principles calculations have become an effective method for predicting and interpreting the characteristics of electrode materials, understanding the electrochemical mechanisms at the atomic scale and delivering rational design strategies for electrode materials. In this review, the first-principles calculations of silicon-based anode materials in recent years, based on different modification strategies, are summarized. First, we introduce the diffusion kinetics of lithium ions in silicon and the mechanism of structure changes during the lithiation process. Then, typical examples of novel Si-based anodes, including 2D nanomaterials, silicide materials and coating materials based on theoretical predictions, are presented. Finally, we provide perspectives and future directions of first-principles calculations on Si-based anodes.
MICROSTRUCTURE AND EROSION CORROSION PROPERTY OF CrNi ALLOYED COATING ON CARBON STEEL
Authors: LI SHOUYING , LIN ZHAOQING
Published: December 2023

In this study, CrNi alloyed coating was deposited on Q235 low carbon steel by arc-added glow plasma depositing technique in order to increase the corrosion resistance property. It was found that the CrNi alloyed coating was composed of face-centered cubic Cr0.7Ni2.9Fe0.36 phase. The EDS results indicated that 7.3 [Formula: see text]m coatings were prepared which was bonded metallurgically with the substrate. The salt spray corrosion test result showed that the corrosion product film of coating was dense while the corrosion film of carbon steel was multilayered in morphology. The corrosion product film of CrNi coating reduced the corrosion rate. However, the corrosion product of Q235 with loose multi-layer structure increased corrosion process. The erosion corrosion properties of carbon steel and coating were tested in NaCl solution with different flowing speed through electrochemical test methods. The erosion corrosion results showed that the corrosion rate of carbon steel was increased in flowing NaCl solution. The corrosion product of CrNi coating could protect inner material in NaCl solution at flowing speed of 2 m·s[Formula: see text] to 6 m·s[Formula: see text].
Biological Appraisals of Cisplatin and Intercalating Analogies of Nanoscale Level Metal(II) Complexes
Authors: Rajasekaran M. , Athappan P. R. , Rajendhran J. , Annaraj J. , Sagathevan Suresh
Published: December 2023

A series of nanoscale-level metal complexes with bidentate (N2MCl[Formula: see text] and tetradentate (MN) chromophores have been employed as efficient cisplatin analogues and intercalating agents towards DNA and studied their anticancer activities against A549 cancer cells. Among them, complexes 1–6 exist with two labile chlorides similar to the chemotherapeutic inorganic drug cisplatin, which have been found to bind covalently with herring sperm DNA. Complexes 7–12 may undergo an intercalative mode of binding due to their structural differences relative to 1–6. The intrinsic binding constants obtained for complexes 7–12 were also significantly varied due to their structure and binding mode ([Formula: see text] and [Formula: see text] M[Formula: see text] for complexes, 1–3 and 4–6, respectively). However, complexes 7–9 have shown much stronger binding constants ([Formula: see text] M[Formula: see text]) due to their existing planarity which leads them to strong intercalation than their counterparts, 10–12 ([Formula: see text] M[Formula: see text]). The significantly higher binding constant values for complexes 1–3 may due to their planar structure and also may possibly lead to intercalation. Though all these complexes (1–12) have shown almost similar binding constants (1.26–2.0) in the electrochemical analysis, it implies that these complexes interact towards DNA with equal strength at their reduced oxidation (M[Formula: see text]) states. The obtained results in various spectral, electrochemical, relative viscosity changes, DNA cleavage studies revealed that these complexes 1–6 mimic the functional properties of cisplatin. Therefore, these nanostructured complexes could be substituted for cisplatin as a new family of non-platinum-based anticancer drugs in the future, after a sequence of in-vivo investigation. Their potential activity against A549 cancer cells has also been recorded using Hoechst staining and Propidium iodide images.
Detecting Covert Disruptive Behavior in Online Interaction by Analyzing Conversational Features and Norm Violations
Authors: Paakki Henna , Vepsäläinen Heidi , Salovaara Antti , Zafar Bushra
Published: December 2023

Disruptive behavior is a prevalent threat to constructive online engagement. Covert behaviors, such as trolling, are especially challenging to detect automatically, because they utilize deceptive strategies to manipulate conversation. We illustrate a novel approach to their detection: analyzing conversational structures instead of focusing only on messages in isolation. Building on conversation analysis, we demonstrate that (1) conversational actions and their norms provide concepts for a deeper understanding of covert disruption, and that (2) machine learning, natural language processing and structural analysis of conversation can complement message-level features to create models that surpass earlier approaches to trolling detection. Our models, developed for detecting overt (aggression) as well as covert (trolling) behaviors using prior studies’ message-level features and new conversational action features, achieved high accuracies (0.90 and 0.92, respectively). The findings offer a theoretically grounded approach to computationally analyzing social media interaction and novel methods for effectively detecting covert disruptive conversations online.
Expressive, Scalable, Mid-air Haptics with Synthetic Jets
Authors: Shen Vivian , Harrison Chris , Shultz Craig
Published: December 2023

Non-contact, mid-air haptic devices have been utilized for a wide variety of experiences, including those in extended reality, public displays, medical, and automotive domains. In this work, we explore the use of synthetic jets as a promising and under-explored mid-air haptic feedback method. We show how synthetic jets can scale from compact, low-powered devices, all the way to large, long-range, and steerable devices (Figure 
1
). We built seven functional prototypes targeting different application domains to illustrate the broad applicability of our approach. These example devices are capable of rendering complex haptic effects, varying in both time and space. We quantify the physical performance of our designs using spatial pressure and wind flow measurements and validate their compelling effect on users with stimuli recognition and qualitative studies.
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Authors: Hu Jingyu , Hui Ka-Hei , Liu Zhengzhe , Li Ruihui , Fu Chi-Wing
Published: December 2023

This paper presents a new approach for 3D shape generation, inversion, and manipulation, through a direct generative modeling on a continuous implicit representation in wavelet domain. Specifically, we propose acompact wavelet representationwith a pair of coarse and detail coefficient volumes to implicitly represent 3D shapes via truncated signed distance functions and multi-scale biorthogonal wavelets. Then, we design a pair of neural networks: a diffusion-basedgeneratorto produce diverse shapes in the form of the coarse coefficient volumes and adetail predictorto produce compatible detail coefficient volumes for introducing fine structures and details. Further, we may jointly train anencoder networkto learn a latent space for inverting shapes, allowing us to enable a rich variety of whole-shape and region-aware shape manipulations. Both quantitative and qualitative experimental results manifest the compelling shape generation, inversion, and manipulation capabilities of our approach over the state-of-the-art methods.
Modeling the Interplay between Loop Tiling and Fusion in Optimizing Compilers Using Affine Relations
Authors: Zhao Jie , Xu Jinchen , Di Peng , Nie Wang , Hu Jiahui , Yi Yanzhi , Yang Sijia , Geng Zhen , Zhang Renwei , Li Bojie , Gan Zhiliang , Jin Xuefeng
Published: December 2023

Loop tiling and fusion are two essential transformations in optimizing compilers to enhance the data locality of programs. Existing heuristics either perform loop tiling and fusion in a particular order, missing some of their profitable compositions, or execute ad-hoc implementations for domain-specific applications, calling for a generalized and systematic solution in optimizing compilers.

In this article, we present a so-called
basteln
(an abbreviation for backward slicing of tiled loop nests)
strategy
in polyhedral compilation to better model the interplay between loop tiling and fusion. The basteln strategy first groups loop nests by preserving their parallelism/tilability and next performs rectangular/parallelogram tiling to the output groups that produce data consumed outside the considered program fragment. The memory footprints required by each tile are then computed, from which the upward exposed data are extracted to determine the tile shapes of the remaining fusion groups. Such a tiling mechanism can construct complex tile shapes imposed by the dependences between these groups, which are further merged by a post-tiling fusion algorithm for enhancing data locality without losing the parallelism/tilability of the output groups. The basteln strategy also takes into account the amount of redundant computations and the fusion of independent groups, exhibiting a general applicability.

We integrate the basteln strategy into two optimizing compilers, with one a general-purpose optimizer and the other a domain-specific compiler for deploying deep learning models. The experiments are conducted on CPU, GPU, and a deep learning accelerator to demonstrate the effectiveness of the approach for a wide class of application domains, including deep learning, image processing, sparse matrix computation, and linear algebra. In particular, the basteln strategy achieves a mean speedup of 1.8× over cuBLAS/cuDNN and 1.1× over TVM on GPU when used to optimize deep learning models; it also outperforms PPCG and TVM by 11% and 20%, respectively, when generating code for the deep learning accelerator.
Investigating the Effects of Intervention Strategies on Pneumonia and HIV/AIDS Coinfection Model
Authors: Teklu Shewafera Wondimagegnhu
Published: December 2023

HIV/AIDS and pneumonia coinfection have imposed a major socioeconomic and health burden throughout the world, especially in the developing countries. In this study, we propose a compartmental epidemic model on the spreading dynamics of HIV/AIDS and pneumonia coinfection to investigate the impacts of protection and treatment intervention mechanisms on the coinfection spreading in the community. In the qualitative analysis of the model, we have performed the positivity and boundedness of the coinfection model solutions; the effective reproduction numbers using the next‐generation operator approach; and both the disease‐free and endemic equilibrium points’ local and global stabilities using the Routh‐Hurwiz and Castillo–Chavez stability criteria, respectively. We performed the sensitivity analysis of the model parameters using both the forward normalized sensitivity index criteria and numerical methods (simulation). Moreover, we carried out the numerical simulation for different scenarios to investigate the effect of model parameters on the associated reproduction number, the effect of model parameters on the model state variables, and the solution behavior and convergence to the equilibrium point(s) of the models. Finally, from the qualitative analysis and numerical simulation results, we observed that the disease‐spreading rates, protection rates, and treatment rates are the most sensitive parameters, and we recommend for stakeholders to concentrate and exert their maximum effort to minimize the spreading rates by maximizing the protection and treatment rates.
Modeling and Design of a Multistream Plate-Fin Heat Exchanger in the Air Separation Units by Pinch Technology
Authors: Alyaseen Nazar Oudah Mousa , Mehrzad Salem , Saffarian Mohammad Reza
Published: December 2023

Recent years have seen considerable advancement in cryogenic technology. Air separation devices have used the cold box with heat exchanger plate-fin (PFHE) in numerous applications. Cryogenic technologies are used in many industrial processes to recover heat and reduce energy consumption. The multistream plate-fin heat exchanger (MSPFHE) is heavily utilized in the air separation plant’s (ASU) design. The plate-fin heat exchanger, one of the most important applications in the cryogenic industry, is the focus of the current investigation. The air entering this operation has been cooled by utilizing energy from streams originating from the distillation tower in the air separation unit (ASU) to reduce energy usage. The project aims to develop and create a multistream plate-fin heat exchanger (MSPFHE) that may be used in the cold box of an air separation unit practically and without limitations. The pinch technique, a method based on the usage of composite curves, was used in the creation of MSPFHE. With pinch technology, it is possible to divide a multistream exchanger into block portions that represent enthalpy intervals and identify the entry and departure sites for the streams. The correlations used in the MSPFHE thermal design model were first modeled and compared to earlier models as part of this effort. This model has been turned into MATLAB code and utilized in two case studies to yield acceptable results during the sizing step. Calculations of thermodynamic properties, heat transfer, pressure drop, choice of fin type, and final heat exchanger size were all part of the design of the MSPFHE. Finally, based on the software’s ability to reproduce the identical environmental conditions nature produces, the case study results have been validated using Aspen EDR. These findings were matched to findings from the literature and determined to be reliable and consistent.
Figure S7 Part 2 from CK1δ and CK1ε Signaling Sustains Mitochondrial Metabolism and Cell Survival in Multiple Myeloma
Authors: Burger Karen L. , Fernandez Mario R. , Meads Mark B. , Sudalagunta Praneeth , Oliveira Paula S. , Renatino Canevarolo Rafael , Alugubelli Raghunandan Reddy , Tungsevik Alexandre , De Avila Gabe , Silva Maria , Graeter Allison I. , Dai Hongyue A. , Vincelette Nicole D. , Prabhu Antony , Magaletti Dario , Yang Chunying , Li Weimin , Kulkarni Amit , Hampton Oliver , Koomen John M. , Roush William R. , Monastyrskyi Andrii , Berglund Anders E. , Silva Ariosto S. , Cleveland John L. , Shain Kenneth H.
Published: December 2023

Supplementary Figure S7 Part 2
Figure S1 from CK1δ and CK1ε Signaling Sustains Mitochondrial Metabolism and Cell Survival in Multiple Myeloma
Authors: Burger Karen L. , Fernandez Mario R. , Meads Mark B. , Sudalagunta Praneeth , Oliveira Paula S. , Renatino Canevarolo Rafael , Alugubelli Raghunandan Reddy , Tungsevik Alexandre , De Avila Gabe , Silva Maria , Graeter Allison I. , Dai Hongyue A. , Vincelette Nicole D. , Prabhu Antony , Magaletti Dario , Yang Chunying , Li Weimin , Kulkarni Amit , Hampton Oliver , Koomen John M. , Roush William R. , Monastyrskyi Andrii , Berglund Anders E. , Silva Ariosto S. , Cleveland John L. , Shain Kenneth H.
Published: December 2023

Supplementary Figure S1
Figure S6 from Neurotransmitter Receptor HTR2B Regulates Lipid Metabolism to Inhibit Ferroptosis in Gastric Cancer
Authors: Tu Ru-Hong , Wu Sheng-Ze , Huang Ze-Ning , Zhong Qing , Ye Yin-Hua , Zheng Chao-Hui , Xie Jian-Wei , Wang Jia-Bin , Lin Jian-Xian , Chen Qi-Yue , Huang Chang-Ming , Lin Mi , Lu Jun , Cao Long-Long , Li Ping
Published: December 2023

Supplementary Figure 6. The HTR2B receptor exerts protective effects via the PI3K/AKT/mTOR pathway. (A-B) Representative IHC images of ACSL4 (A) and GPX4 (B) in subcutaneous xenograft tumor tissues, comparing SB204741-treated vs. control groups or sh-HTR2B vs. sh-vector groups. (C) GSEA plots representing the “MAPK,” “STAT3,” and “AMPK” signatures derived from DEGs profiles, discriminating between HTR2B high and low groups within the TCGA stomach adenocarcinoma cohort. Normalized enrichment score (NES) and false discovery rate (FDR) are shown. (D) After treatment with vehicle or 5-HT (10 μM) for 24 h, levels of phosphorylated and total AMPK, STAT3, and ERK1/2 were assessed by immunoblot. (E) Representative immunofluorescence images showing HTR2B and p-mTOR in HTR2B-positive patient-derived xenograft (PDX) tumor tissues. (F) Representative IHC images of p-Akt derived from SB204741 treated vs. control groups and sh-HTR2B vs. sh-vector groups in subcutaneous xenograft tumor tissues.
Figure S1 from Neurotransmitter Receptor HTR2B Regulates Lipid Metabolism to Inhibit Ferroptosis in Gastric Cancer
Authors: Tu Ru-Hong , Wu Sheng-Ze , Huang Ze-Ning , Zhong Qing , Ye Yin-Hua , Zheng Chao-Hui , Xie Jian-Wei , Wang Jia-Bin , Lin Jian-Xian , Chen Qi-Yue , Huang Chang-Ming , Lin Mi , Lu Jun , Cao Long-Long , Li Ping
Published: December 2023

Supplementary Figure 1. The association between HTR2B overexpression and its promoter methylation status. (A-C) Kaplan–Meier survival analysis for the three other candidate genes (EDNRA, GRIA1, and P2RY14) in the TCGA cohorts (n = 370). (D) Comparison of relative mRNA levels of genes (TPH1, TPH2, MAOA, MAOB, VMAT2, SERT, and AADC) between the gastric cancer cell line (HGC-27) and normal gastric epithelial cells (GES-1). Differences were not significant (ns). (E) Relationship between somatic copy number alterations (SCNAs) and HTR2B mRNA expression in the TCGA cohorts based on the LinkedOmics database. (F) Effect of HTR2B mutations on HTR2B mRNA expression in the TCGA cohorts based on the LinkedOmics database. (G) Rates of HTR2B mutations and SCNAs in the TCGA cohorts based on the cBioPortal database. (H and I) Subcutaneous xenograft tumors were treated with 5-azacytidine (dose of 0.5 mg/kg body weight, intraperitoneal injection, alternate days) for 3 weeks and tumor weight was measured (n = 5).
Supplementary Fig. S5 from The BRD4–NUT Fusion Alone Drives Malignant Transformation of NUT Carcinoma
Authors: Durall R. Taylor , Huang Julianna , Wojenski Luke , Huang Yeying , Gokhale Prafulla C. , Leeper Brittaney A. , Nash Joshua O. , Ballester Pedro L. , Davidson Scott , Shlien Adam , Sotirakis Emmanuel , Bertaux Fabien , Dubus Vincent , Luo Jia , Wu Catherine J. , Keskin Derin B. , Eagen Kyle P. , Shapiro Geoffrey I. , French Christopher A.
Published: December 2023

Supplementary Fig. S5. H3K27me3 and H3K27ac domains are mutually exclusive.
Supplementary Fig. S4 from The BRD4–NUT Fusion Alone Drives Malignant Transformation of NUT Carcinoma
Authors: Durall R. Taylor , Huang Julianna , Wojenski Luke , Huang Yeying , Gokhale Prafulla C. , Leeper Brittaney A. , Nash Joshua O. , Ballester Pedro L. , Davidson Scott , Shlien Adam , Sotirakis Emmanuel , Bertaux Fabien , Dubus Vincent , Luo Jia , Wu Catherine J. , Keskin Derin B. , Eagen Kyle P. , Shapiro Geoffrey I. , French Christopher A.
Published: December 2023

Supplementary Fig. S4. Large domains are larger in mNC samples.
Supplementary Tables S1-2 from EZH2 Cooperates with BRD4-NUT to Drive NUT Carcinoma Growth by Silencing Key Tumor Suppressor Genes
Authors: Huang Yeying , Durall R. Taylor , Luong Nhi M. , Hertzler Hans J. , Huang Julianna , Gokhale Prafulla C. , Leeper Brittaney A. , Persky Nicole S. , Root David E. , Anekal Praju V. , Montero Llopis Paula D.L.M. , David Clement N. , Kutok Jeffery L. , Raimondi Alejandra , Saluja Karan , Luo Jia , Zahnow Cynthia A. , Adane Biniam , Stegmaier Kimberly , Hawkins Catherine E. , Ponne Christopher , Le Quan , Shapiro Geoffrey I. , Lemieux Madeleine E. , Eagen Kyle P. , French Christopher A.
Published: December 2023

Supplementary Tables S1-2
Supplementary Table S3 from EZH2 Cooperates with BRD4-NUT to Drive NUT Carcinoma Growth by Silencing Key Tumor Suppressor Genes
Authors: Huang Yeying , Durall R. Taylor , Luong Nhi M. , Hertzler Hans J. , Huang Julianna , Gokhale Prafulla C. , Leeper Brittaney A. , Persky Nicole S. , Root David E. , Anekal Praju V. , Montero Llopis Paula D.L.M. , David Clement N. , Kutok Jeffery L. , Raimondi Alejandra , Saluja Karan , Luo Jia , Zahnow Cynthia A. , Adane Biniam , Stegmaier Kimberly , Hawkins Catherine E. , Ponne Christopher , Le Quan , Shapiro Geoffrey I. , Lemieux Madeleine E. , Eagen Kyle P. , French Christopher A.
Published: December 2023

Supplementary Table S3
Data from The Tumor Immune Microenvironment Architecture Correlates with Risk of Recurrence in Head and Neck Squamous Cell Carcinoma
Authors: Weed Donald T. , Zilio Serena , McGee Christie , Marnissi Boutheina , Sargi Zoukaa , Franzmann Elizabeth , Thomas Giovana , Leibowitz Jason , Nicolli Elizabeth , Arnold David , Bicciato Silvio , Serafini Paolo
Published: December 2023

Abstract
Emerging evidence suggests that not only the frequency and composition of tumor-infiltrating leukocytes but also their spatial organization might be a major determinant of tumor progression and response to therapy. Therefore, mapping and analyzing the fine tumor immune architecture could potentially provide insights for predicting cancer prognosis. Here, we performed an explorative, prospective clinical study to assess whether structures within the tumor microenvironment can predict recurrence after salvage surgery in head and neck squamous cell carcinoma (HNSCC). The major immune subsets were measured using flow cytometry and co-detection by indexing (CODEX) multiparametric imaging. Flow cytometry underestimated the number of PMN-MDSCs and neutrophils in the tumor and overestimated the tumor-infiltrating lymphocyte frequency. An ad hoc computational framework was used to identify and analyze discrete cellular neighborhoods. A high frequency of tertiary lymphoid structures composed of CD31highCD38high plasma cells was associated with reduced recurrence after surgery in HNSCC. These data support the notion that the structural architecture of the tumor immune microenvironment plays an essential role in tumor progression and indicates that type 1 tertiary lymphoid structures and long-lived CD31highCD38high plasma cells are associated with good prognosis in HNSCC.
Significance:
Imaging the spatial tumor immune microenvironment and evaluating the presence of type 1 tertiary lymphoid structures enables prediction of recurrence after surgery in patients with head and neck squamous cell carcinoma.
Epigenetic Cooperativity as a Therapeutic Vulnerability in Cancer
Authors: Kazansky Yaniv , Kentsis Alex
Published: December 2023

NUT carcinoma (NC) is one of the most common types of undifferentiated carcinomas affecting young adults with a dismal prognosis. NUT carcinomas often involve chromosomal translocations, leading to the production of BRD4-NUT fusion protein that generates large domains of hyperactive chromatin and activates oncogenic gene expression. Bromodomain and extraterminal domain (BET) bromodomain inhibitors offer a direct means to block BRD4-mediated gene activation but have shown limited clinical efficacy in patients. In this issue of Cancer Research, Huang and colleagues report an unexpected discovery of a synthetic lethal NC dependency on Polycomb repressive complex 2 (PRC2)–mediated gene repression, including EZH2, the catalytic subunit of PRC2. EZH2 is highly expressed in NC patient tumors and a specific inhibitor of its methyltransferase activity, tazemetostat, exhibits potent antitumor cell activity. While the repressed and activated chromatin domains in NC cells are distinct, the resultant gene expression changes exhibit convergent features, including dysregulation of CDKN2A and the E2F-RB1 axis. As a result, combined treatment of NC tumors with tazemetostat and the BET inhibitor mivebresib produces marked antitumor therapeutic synergy in vitro and in vivo, associated with enhanced suppression of RB1 function through convergent remodeling of NC gene expression. This study advances epigenetic cooperativity as a distinct mode of gene expression dysregulation in NC and nominates a compelling combination epigenetic strategy for investigation in clinical trials for patients.

See related article by Huang et al., p. 3956
Supplementary Table 1 from Birth Defects in Offspring of Adolescent and Young Adults with a History of Cancer: A Population-Based Study of 27,000 Women
Authors: Murphy Caitlin C. , Betts Andrea C. , Pruitt Sandi L. , Cohn Barbara A. , Shay L. Aubree , Allicock Marlyn A. , Wang Jennifer S. , Lupo Philip J.
Published: December 2023

Distribution of metropolitan statistical area among adolescent and young adult women with a history of cancer and women without cancer
Supplementary table S1 from Mammographic Breast Density and Risk of Ovarian Cancer in Korean Women
Authors: Tran Thi Xuan Mai , Kim Soyeoun , Park Boyoung
Published: December 2023

Supplemental table S1. Sensitivity analysis for the association between mammographic breast density and ovarian cancer development in the total population.
Table S5 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

All-site combined projections of 5-year prevalence count and rate in 2020, 2030, 2040, and 2050
Table S4 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Overall validation of selected models
Table S1 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Data exclusion for cancer survival projection
Supplementary Materials and Methods from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Supplementary Materials and Methods: Describe how the changes in projected cancer prevalence between periods were calculated
Figure S9 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Age distribution of 10-year cancer survivors in 2020 and 2050, by cancer site and sex
The plot presents both-sex (A), male (B), and female (C).
Notes: The y-axis title is ordered based on sex-specific prevalence count in year 2020, with the highest at the top and the lowest at the bottom.
Figure S8 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Scenario-specific projections with sensitivity range in 2020–2050, by cancer site, of female 10-year prevalence count
Notes: (*) the main projection scenario with the dynamic population demographics, incidence rates, and survival rates; Cancer sites are ordered based on sex-specific prevalence count in year 2020 as reading order, with the highest at the top-left and the lowest at the bottom-right corner.
Figure S6 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Scenario-specific projections with sensitivity range in 2020–2050, by cancer site, of all-sex 10-year prevalence count
Notes: (*) the main projection scenario with the dynamic population demographics, incidence rates, and survival rates; Cancer sites are ordered based on sex-specific prevalence count in year 2020 as reading order, with the highest at the top-left and the lowest at the bottom-right corner.
Figure S3 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Scenario-specific projections with sensitivity range in 2020–2050, by cancer site, of all-sex 5-year prevalence count
Notes: (*) the main projection scenario with the dynamic population demographics, incidence rates, and survival rates; Cancer sites are ordered based on sex-specific prevalence count in year 2020 as reading order, with the highest at the top-left and the lowest at the bottom-right corner.
Table S1 from Cancer Incidence and Mortality Estimates in Arab Countries in 2018: A GLOBOCAN Data Analysis
Authors: Al-Muftah Mariam , Al-Ejeh Fares
Published: December 2023

Table S1: Raw data extracted from GLOBOCAN 2018 dataset for all cancers and each cancer, for all age groups and age-group intervals, for females and males, and for mortality and incidence for Arab countries, the world, USA and Europe. This data was used to generate the pivot table in Table S2 which can be queried. All data in the manuscript was based on this data file.
Figure S12 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Site-specific decomposed absolute and relative changes of 10-year prevalence count
over 2020–2050, by sex.
The plot shows the absolute changes for both-sex (A), male (B), and female (C), and relative changes for both-sex (D), male (E), and female (F).
Notes: Absolute changes over 2020-2050 is calculated as Prevalence 2050 – Prevalence 2020; Relative changes over 2020-2050 is calculated as (Prevalence 2050 – Prevalence 2020) / Prevalence 2020; The y-axis title is ordered based on sex-specific total absolute/relative changes in prevalence count over 2020–2050, with the highest at the top and the lowest at the bottom.
Figure S5 from Cancer Incidence and Mortality Estimates in Arab Countries in 2018: A GLOBOCAN Data Analysis
Authors: Al-Muftah Mariam , Al-Ejeh Fares
Published: December 2023

Figure S5: Age-specific incidence of cancers in Arab countries. The ASIR for cancers at different age groups in Arab countries are summarized and compared to the ASIR at the same age groups for the World, USA and Europe. Arab countries are labelled as those in the Arabian Gulf (maroon), the Levant (green) and North Africa (blue). The world, USA and Europe in black font. Each cancer type is shown on a separate page in the following pages organized alphabetically. For all age groups please refer to Supplementary Data Tables S1 and S2.
Figure S11 from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

Time since diagnosed distribution of cancer survivors in 2020 and 2050, by cancer site and sex, of 10-year prevalence count.
The plot presents both-sex (A), male (B), and female (C).
Notes: The y-axis title is ordered based on sex-specific prevalence count in year 2020, with the highest at the top and the lowest at the bottom.
Figure S4 from Cancer Incidence and Mortality Estimates in Arab Countries in 2018: A GLOBOCAN Data Analysis
Authors: Al-Muftah Mariam , Al-Ejeh Fares
Published: December 2023

Figure S4: Leading cancers for diagnosis and cancer-related deaths in subregions of the Arab countries. The percentage contribution of cancer sites to all cancers in females or males are shown for the 10 leading sites for cancer diagnoses and mortality in 2018 at all ages in the specified Arab subregions. The total number of diagnoses or deaths are shown under each plot. Complete data for all cancer sites in all subregions, in each country, and data for the USA, Europe and the world are available in Tables S1-S2.
Table S2 from Hypothetical Interventions on Diet Quality and Lifestyle Factors to Improve Breast Cancer Survival: The Pathways Study
Authors: Ergas Isaac J. , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Kwan Marilyn L. , Laraia Barbara , Madsen Kristine A. , Yao Song , Thomsen Catherine , Kushi Lawrence H.
Published: December 2023

Sample output from parametric g-computation algorithm calculating 5-year risks of all-cause mortality when hypothetically intervening on different levels of the healthy plant-based diet score (hPDI)
Table S1 from Hypothetical Interventions on Diet Quality and Lifestyle Factors to Improve Breast Cancer Survival: The Pathways Study
Authors: Ergas Isaac J. , Bradshaw Patrick T. , Cespedes Feliciano Elizabeth M. , Roh Janise M. , Kwan Marilyn L. , Laraia Barbara , Madsen Kristine A. , Yao Song , Thomsen Catherine , Kushi Lawrence H.
Published: December 2023

Immediate cause of death among Pathways participants who died during the study period (n=734)
Supplemental Figure 7 from Gene–Environment Analyses Reveal Novel Genetic Candidates with Prenatal Tobacco Exposure in Relation to Risk for Childhood Acute Lymphoblastic Leukemia
Authors: Zhong Charlie , Li Shaobo , Arroyo Katti , Morimoto Libby M. , de Smith Adam J. , Metayer Catherine , Ma Xiaomei , Kogan Scott C. , Gauderman W. James , Wiemels Joseph L.
Published: December 2023

QQ-plot for CCRLP study, Hispanic participants. As Supp. Fig. 4, but for the CCLS Hispanic participant strata.
Supplemental Figure 1 from Gene–Environment Analyses Reveal Novel Genetic Candidates with Prenatal Tobacco Exposure in Relation to Risk for Childhood Acute Lymphoblastic Leukemia
Authors: Zhong Charlie , Li Shaobo , Arroyo Katti , Morimoto Libby M. , de Smith Adam J. , Metayer Catherine , Ma Xiaomei , Kogan Scott C. , Gauderman W. James , Wiemels Joseph L.
Published: December 2023

Manhattan plot of disease-gene associations and ALL risk. The figure displays P-values across the genome for gene-ALL genotype additive model results.
Supplemental Table 2 from Educational Attainment and Cancer Incidence in a Large Nationwide Prospective Cohort
Authors: Hodge James M. , Patel Alpa V. , Islami Farhad , Jemal Ahmedin , Hiatt Robert A.
Published: December 2023

Supplemental Table 2 shows hazard ratios and 95% confidence intervals for female never smokers.
Data from Mammographic Breast Density and Risk of Ovarian Cancer in Korean Women
Authors: Tran Thi Xuan Mai , Kim Soyeoun , Park Boyoung
Published: December 2023

AbstractBackground:
This study aimed to investigate the potential association between mammographic breast density and ovarian cancer risk.
Methods:
This retrospective cohort study included women ≥40 years of age who underwent a mammography screening from 2009 to 2014. Breast density was assessed using the Breast Imaging-Reporting and Data System. The primary outcome was ovarian cancer development, and the cases were recorded until 2020. Cox proportional hazards regression was used to assess the association between breast density and ovarian cancer development. Subgroup analyses stratified by age, menopausal status, and body mass index (BMI) were conducted.
Results:
Of the 8,556,914 women included in this study, 9,246 ovarian cancer events were recorded during a median follow-up period of 10 years (interquartile range, 8.1–11.0 years). Compared with women with almost entirely fat density, those with scattered fibroglandular density, heterogeneous density, and extreme density had an increased risk of ovarian cancer with adjusted HRs of 1.08 [95% confidence interval (CI), 1.02–1.15], 1.16 (95% CI, 1.09–1.24), and 1.24 (95% CI, 1.15–1.34), respectively. The strongest association was observed in the ≥60 years age group; subgroup analysis indicated a significant increase in association between the higher-density category and ovarian cancer risk, regardless of BMI or menopausal status.
Conclusions:
Higher levels of breast density are associated with an increased risk of ovarian cancer.
Impact:
Breast density may have a relationship with ovarian cancer risk and could be used to assess future risk.
Data from Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2050: A Statistical Modeling Study
Authors: Nguyen Phuong The , Hori Megumi , Matsuda Tomohiro , Katanoda Kota
Published: December 2023

AbstractBackground:
We provide comprehensive sex-stratified projections of cancer prevalence for 22 cancer sites in Japan from 2020 to 2050.
Methods:
Using a scenario-based approach, we projected cancer prevalence by combining projected incidence cases and survival probabilities. Age-specific incidences were forecasted using age–period–cohort models, while survival rates were estimated using a period-analysis approach and multiple parametric survival models. To understand changes in cancer prevalence, decomposition analysis was conducted, assessing the contributions of incidence, survival, and population demographics.
Results:
By 2050, cancer prevalence in Japan is projected to reach 3,665,900 (3,210,200 to 4,201,400) thousand cases, representing a 13.1% increase from 2020. This rise is primarily due to a significant increase in female survivors (+27.6%) compared with a modest increase in males (+0.8%), resulting in females overtaking males in prevalence counts from 2040 onward. In 2050, the projected most prevalent cancer sites in Japan include colorectal, female breast, prostate, lung, and stomach cancers, accounting for 66.4% of all survivors. Among males, the highest absolute increases in prevalence are projected for prostate, lung, and malignant lymphoma cancers, while among females, the highest absolute increases are expected for female breast, colorectal, and corpus uteri cancers.
Conclusions:
These findings emphasize the evolving cancer prevalence, influenced by aging populations, changes in cancer incidence rates, and improved survival. Effective prevention, detection, and treatment strategies are crucial to address the growing cancer burden.
Impact:
This study contributes to comprehensive cancer control strategies and ensures sufficient support for cancer survivors in Japan.
Data from Adherence to the Diabetes Risk Reduction Diet and Bladder Cancer Risk in the Prostate, Lung, Colorectal, Ovarian (PLCO) Cohort
Authors: Chen Yuanhao , Zeng Song , Jiao Binbin , Zhang He , Li Gao , Zhang Xin , Hu Xiaopeng
Published: December 2023

AbstractBackground:
This study aimed to explore the relationship between diabetes risk reduction diet (DRRD) and bladder cancer risk in Prostate, Lung, Colorectal, Ovarian (PLCO) cohort.
Methods:
Data from 99,001 participants in the PLCO Cancer Screening Trial were analyzed using Cox proportional hazards regression models to estimate HRs and 95% confidence intervals (CI) for the association between DRRD score and bladder cancer incidence. Subgroup analyses were conducted to assess whether variables such as age, sex, body mass index, cigarette smoking status, and history of diabetes influenced the observed association. The DRRD score was formulated on the basis of nine nutrient intake indicators derived from the Dietary History Questionnaire.
Results:
During the median follow-up of 11.7 years, 761 new bladder cancer cases were identified. Participants with highest DRRD scores exhibited a reduced risk of bladder cancer compared with those in the lowest quartile (unadjusted analysis, HR, 0.65; 95% CI, 0.53–0.82); multivariable adjusted analysis, HR, 0.79; 95% CI, 0.64–0.98; Ptrend = 0.007). A similar risk reduction was seen solely in transitional cell carcinoma (HR, 0.79; 95% CI, 0.64–0.99; P = 0.007). In addition, the significant negative association between DRRD scores and bladder cancer risk persisted even after excluding participants with unique characteristics.
Conclusions:
This large prospective population-based study suggests that adherence to a DRRD may contribute to the prevention of bladder cancer.
Impact:
The DRRD could potentially mitigate bladder cancer risk, which warrants further validation in diverse populations.
Data from Cancer Incidence and Mortality Estimates in Arab Countries in 2018: A GLOBOCAN Data Analysis
Authors: Al-Muftah Mariam , Al-Ejeh Fares
Published: December 2023

AbstractBackground:
Arab countries are projecting increase in cancer incidence and mortality; however, there are limited studies that compare the epidemiology of cancer in Arab countries compared with other parts of the world.
Methods:
We used the 2018 Global Cancer Observatory data to compare the age-standardized incidence and mortality estimates in Arab-speaking countries to the rest of the world.
Results:
Rates for incidence and mortality for all cancers in Arab countries were lower than the world's rates but the incidence rates of non-Hodgkin and Hodgkin lymphoma, bladder, breast, and liver cancers were higher. Arab countries generally had higher mortality-to-incidence ratio than the world's ratio. Incidence rates, even in age-specific groups, varied between subregions of Arab countries (the Levant, Arabian Gulf, and Arab African subregions), and Iraq and Egypt, suggesting some common and unique environmental factors and possible ethnic or genetic heritages.
Conclusions:
There are essential scopes for improvements in Arab countries including better treatments to reduce the high mortality-to-incidence ratio, and supporting vaccination programs and antiviral treatments that would prevent the prevalent viral infection–related cancers. The high incidence of several cancers in younger Arabs suggests genetic factors and underlines the importance of genetic epidemiology studies.
Impact:
This study is an essential reference to evaluate and monitor the progress of national cancer initiatives in Arab countries for surveillance and prevention programs and improving clinical management. The study also provides a comprehensive snapshot of cancers in a unique region that could shed light on the interplay of environmental, lifestyle, and genetic risk factors.
Supplementary Figures 1-2 from Clinico-Genomic Profiling of Conventional and Dedifferentiated Chondrosarcomas Reveals TP53 Mutation to Be Associated with Worse Outcomes
Authors: Denu Ryan A. , Yang Richard K. , Lazar Alexander J. , Patel Shalin S. , Lewis Valerae O. , Roszik Jason , Livingston J. Andrew , Wang Wei-Lien , Shaw Kenna R. , Ratan Ravin , Zarzour Maria A. , Bird Justin , Raza Shaan , Akdemir Kadir C. , Rodon Ahnert Jordi , Subbiah Vivek , Patel Shreyaskumar , Conley Anthony P.
Published: December 2023

Supplementary Figures 1-2