bluuebunny/crossref_metadata_2025 huggingface dataset:
Contextual Typing
Authors: Xue Xu , Oliveira Bruno C. d. S.
Published: August 2024

Bidirectional typing
is a simple, lightweight approach to type inference that propagates known type information during typing, and can scale up to many different type systems and features. It typically only requires a reasonable amount of annotations and eliminates the need for many obvious annotations. Nonetheless the power of inference is still limited, and complications arise in the presence of more complex features. In this paper we present a generalization of bidirectional typing called
contextual typing
. In contextual typing not only known type information is propagated during typing, but also other known information about the
surrounding context
of a term. This information can be of various forms, such as other terms or record labels. Due to this richer notion of contextual information, less annotations are needed, while the approach remains lightweight and scalable. For type systems with subtyping, contextual typing subsumption is also more expressive than subsumption with bidirectional typing, since partially known contextual information can be exploited. To aid specifying type systems with contextual typing, we introduce
Q
uantitative
T
ype
A
ssignment
S
ystem
s
(QTASs). A QTAS quantifies the amount of type information that a term needs in order to type check using counters. Thus, a counter in a QTAS generalizes modes in traditional bidirectional typing, which can only model an all (checking mode) or nothing (inference mode) approach. QTASs enable precise guidelines for annotatability of contextual type systems formalized as a theorem. We illustrate contextual typing first on a simply typed lambda calculus, and then on a richer calculus with subtyping, intersection types, records and overloading. All the metatheory is formalized in the Agda theorem prover.
Geometric Approaches to Lagrangian Averaging
Authors: Gilbert Andrew D. , Vanneste Jacques
Published: August 2024

Lagrangian averaging theories, most notably the generalized Lagrangian mean (GLM) theory of Andrews and McIntyre, have been primarily developed in Euclidean space and Cartesian coordinates. We reinterpret these theories using a geometric, coordinate-free formulation. This gives central roles to the flow map, its decomposition into mean and perturbation maps, and the momentum 1-form dual to the velocity vector. In this interpretation, the Lagrangian mean of any tensorial quantity is obtained by averaging its pull-back to the mean configuration. Crucially, the mean velocity is not a Lagrangian mean in this sense. It can be defined in a variety of ways, leading to alternative Lagrangian mean formulations that include GLM and Soward and Roberts's volume-preserving version. These formulations share key features that the geometric approach uncovers. We derive governing equations both for the mean flow and for wave activities constraining the dynamics of the perturbations. The presentation focuses on the Boussinesq model for inviscid rotating stratified flows and reviews the necessary tools of differential geometry.
Bimodal Reconfigurable Memristor and Read-Only Operations Coexisting in HfOx-Based Stacked Structures
Authors: Chen Ying-Chen , Lin Chih-Yang , Lin Chang-Hsien , Lin Chao-Cheng
Published: August 2024

In this work, bilayer self-rectified memristors for highly scalable memory arrays have been realized in bilayer stacked structures for suppressing the sneak path current without an additional switch device integration. This is a groundbreaking development for high-density storage memory applications. The programmable reconfigurations and operational polarities on self-rectified memristor with temperature response on dielectric fusing phenomena with the impact of electrode thermal conductivity have been investigated. The nonlinear bifunctional memristor with low voltage dielectric fusing operation is also presented for reprogrammable read-only memory applications as the future features for security in artificial intelligence and internet hardware systems.
The complexity of cerebral blood flow regulation: the interaction of posture and vasomotor reactivity
Authors: Clough Rebecca H. , Panerai Ronney B. , Ladthavorlaphatt Kannaphob , Robinson Thompson G. , Minhas Jatinder S.
Published: August 2024

Data from supine, sitting, and standing postures were measured. Modeling the data with logistic curves to express the effects of CO2 reactivity on middle cerebral artery blood velocity (MCAv), posterior cerebral artery blood velocity (PCAv), heart rate, blood pressure (BP), and the autoregulation index (ARI), provided a more comprehensive approach to study the interaction of arterial CO2 with posture than in previous studies. Above all, shifts of the logistic curve model with changes in posture have shown interactions with [Formula: see text] that have not been previously demonstrated.
Uninterrupted Maximum Flow on Signalized Traffic Networks
Authors: Friedman Melvin H. , Mark Brian L. , Gartner Nathan H.
Published: August 2024

This paper describes a traffic signal control strategy that allows motorists who travel at a recommended speed on suburban arterial two‐way roads with a common cycle time to make every traffic signal. A road‐to‐traveler‐feedback‐device (RTFD) advises motorists how fast they should travel to do this. Signalized arterial roads where vehicles that travel at the recommended speed make every traffic signal are termed Ride‐the‐Green‐Wave (RGW) roads. Left‐turn‐arounds enable vehicles to turn left from two‐way RGW roads to intersecting/orthogonal two‐way RGW‐road while allowing maximum flow at the intersection. The traffic signal control technique that enables vehicles that travel at the recommended speed to make every traffic signal has been verified using a simulation program (RGW‐SIM). In addition to introducing novel traffic signal control strategies, the methods presented in this paper have implications for road network design, public transport control, connected and automated vehicles, and environmental impacts.
Mechanical Modeling and Application of Frost Heaving Damage to Assembled Concrete Rectangular Canals in Seasonally Frozen Soil Region
Authors: Chang Weidong , Wang Zhengyi , Li Gang , Tang Hua , Wang Aiqin , Ma Yuwei
Published: August 2024

In the design and upkeep of canals in areas of seasonal permafrost, resistance to frost heave is a critical factor for ensuring the stability of water conveyance canals. Mechanical modeling is the key to frost heaving‐resistant design. In this study, the theory of elastic thin plates was used to build a mechanical model of frost heaving damage to rectangular canals. The model’s plausibility was confirmed using a prototype canal as an example, and the canal’s deformation, internal force, and stress distribution were examined. The findings demonstrate that, compared to beam theory, the internal forces and deformations computed by the model are not evenly distributed along the plate width; the base slab and side walls both saw their greatest deformations in the middle portion and two‐fifths from the canal’s top, respectively; at the junction of the two, the bending moments and tensile stresses are maximum and distributions are consistent; transverse moments should be used as control moments in the structural design of canals, and stick feet should be placed at junctions to stop damage. In addition, the maximum normal frost heaving force and optimal thickness that four various canals can withstand were estimated, and the results were biased in favor of safety. The calculation’s results can serve as a theoretical guide for antifreeze design concrete rectangular canals in places that experience seasonal freezing.
Equine Trypanosomiasis: Molecular Detection, Hematological, and Oxidative Stress Profiling
Authors: Shoraba Mostafa , Shoulah Salma A. , Arnaout Faysal , Selim Abdelfattah
Published: August 2024

Surra caused by Trypanosoma evansi (T. evansi) is widely distributed and has significant impact on equine sector and international trades. However, there are no available data about the genetic characterization of this parasite in horses in Egypt. So, the goal of this study was to study the molecular characterization of T. evansi in horses and determine the changes in hematological parameters and oxidative stress associated with T. evansi infection. A total of 12 horses were examined using PCR targeting RoTat 1.2 VSG gene, and we evaluated the changes in hematological and oxidative stress between infected and healthy animals. The results revealed a notable reduction in red blood cell (RBC), hematocrit (HCT), and hemoglobin (Hb) levels in the infected horses, as compared to the control healthy group. In contrast, the infected group showed a substantial increase in mean corpuscular hemoglobin concentration (MCHC), mean corpuscular hemoglobin (MCH), and mean corpuscular volume (MCV). In addition, the infected group exhibited monocytopenia, eosinopenia, and notable lymphocytopenia. Regarding oxidative stress profile, the infected horses showed decreased levels of glutathione (GSH), superoxide dismutase (SOD), catalase (CAT), and antioxidant capacity (TAC) compared to the control group. Moreover, the PCR assay targeting RoTat 1.2 VSG gene revealed positive specific band (205 bp) in all examined samples for T. evansi and the phylogenetic analysis demonstrated that strain of this study is closely related to T. evansi isolate in horses from India (MT501210) while showed difference from sequences of other species. The results emphasize the changes in blood composition and the body’s response to oxidative stress caused by T. evansi infection in horses.
Table S1 from Serine Depletion Promotes Antitumor Immunity by Activating Mitochondrial DNA-Mediated cGAS-STING Signaling
Authors: Saha Suchandrima , Ghosh Monisankar , Li Jinyu , Wen Asher , Galluzzi Lorenzo , Martinez Luis A. , Montrose David C.
Published: August 2024

Table S1
Supplementary Table 4 from Transient Differentiation-State Plasticity Occurs during Acute Lymphoblastic Leukemia Initiation
Authors: Poort Vera M. , Hagelaar Rico , van Roosmalen Markus J. , Trabut Laurianne , Buijs-Gladdines Jessica G. C. A. M. , van Wijk Bram , Meijerink Jules , van Boxtel Ruben
Published: August 2024

Table 4: WGS file and sequencing information
Figure S9 from Serine Depletion Promotes Antitumor Immunity by Activating Mitochondrial DNA-Mediated cGAS-STING Signaling
Authors: Saha Suchandrima , Ghosh Monisankar , Li Jinyu , Wen Asher , Galluzzi Lorenzo , Martinez Luis A. , Montrose David C.
Published: August 2024

Figure S9
Figure S6 from Serine Depletion Promotes Antitumor Immunity by Activating Mitochondrial DNA-Mediated cGAS-STING Signaling
Authors: Saha Suchandrima , Ghosh Monisankar , Li Jinyu , Wen Asher , Galluzzi Lorenzo , Martinez Luis A. , Montrose David C.
Published: August 2024

Figure S6
Figure S14 from Serine Depletion Promotes Antitumor Immunity by Activating Mitochondrial DNA-Mediated cGAS-STING Signaling
Authors: Saha Suchandrima , Ghosh Monisankar , Li Jinyu , Wen Asher , Galluzzi Lorenzo , Martinez Luis A. , Montrose David C.
Published: August 2024

Figure S14
Figure S13 from Serine Depletion Promotes Antitumor Immunity by Activating Mitochondrial DNA-Mediated cGAS-STING Signaling
Authors: Saha Suchandrima , Ghosh Monisankar , Li Jinyu , Wen Asher , Galluzzi Lorenzo , Martinez Luis A. , Montrose David C.
Published: August 2024

Figure S13
Figure S1 from Serine Depletion Promotes Antitumor Immunity by Activating Mitochondrial DNA-Mediated cGAS-STING Signaling
Authors: Saha Suchandrima , Ghosh Monisankar , Li Jinyu , Wen Asher , Galluzzi Lorenzo , Martinez Luis A. , Montrose David C.
Published: August 2024

Figure S1
Supplementary Movie 4 from Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery
Authors: Zhang Shuming , Deshpande Atul , Verma Babita K. , Wang Hanwen , Mi Haoyang , Yuan Long , Ho Won Jin , Jaffee Elizabeth M. , Zhu Qingfeng , Anders Robert A. , Yarchoan Mark , Kagohara Luciane T. , Fertig Elana J. , Popel Aleksander S.
Published: August 2024

Supplementary Movie 4
Supplementary Movie 3 from Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery
Authors: Zhang Shuming , Deshpande Atul , Verma Babita K. , Wang Hanwen , Mi Haoyang , Yuan Long , Ho Won Jin , Jaffee Elizabeth M. , Zhu Qingfeng , Anders Robert A. , Yarchoan Mark , Kagohara Luciane T. , Fertig Elana J. , Popel Aleksander S.
Published: August 2024

Supplementary Movie 3
Supplementary Figures from Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery
Authors: Zhang Shuming , Deshpande Atul , Verma Babita K. , Wang Hanwen , Mi Haoyang , Yuan Long , Ho Won Jin , Jaffee Elizabeth M. , Zhu Qingfeng , Anders Robert A. , Yarchoan Mark , Kagohara Luciane T. , Fertig Elana J. , Popel Aleksander S.
Published: August 2024

Supplemental Figure with Caption
Video S9 from CENP-E Inhibition Induces Chromosomal Instability and Synergizes with Diverse Microtubule-Targeting Agents in Breast Cancer
Authors: Tucker John B. , Carlsen Caleb L. , Scribano Christina M. , Pattaswamy Srishrika M. , Burkard Mark E. , Weaver Beth A.
Published: August 2024

CENP-E inhibited cell that retains polar chromosome when it enters anaphase
Video S6 from CENP-E Inhibition Induces Chromosomal Instability and Synergizes with Diverse Microtubule-Targeting Agents in Breast Cancer
Authors: Tucker John B. , Carlsen Caleb L. , Scribano Christina M. , Pattaswamy Srishrika M. , Burkard Mark E. , Weaver Beth A.
Published: August 2024

Spindle that is multipolar at anaphase onset but focuses into a bipolar spindle after anaphase onset
Video S3 from CENP-E Inhibition Induces Chromosomal Instability and Synergizes with Diverse Microtubule-Targeting Agents in Breast Cancer
Authors: Tucker John B. , Carlsen Caleb L. , Scribano Christina M. , Pattaswamy Srishrika M. , Burkard Mark E. , Weaver Beth A.
Published: August 2024

Spindle that becomes multipolar via de novo pole formation
Video S12 from CENP-E Inhibition Induces Chromosomal Instability and Synergizes with Diverse Microtubule-Targeting Agents in Breast Cancer
Authors: Tucker John B. , Carlsen Caleb L. , Scribano Christina M. , Pattaswamy Srishrika M. , Burkard Mark E. , Weaver Beth A.
Published: August 2024

Mitosis in cell treated with eribulin+CENP-E inhibitor. Although the multipolar spindle is focused into a bipolar spindle early in mitosis, the cell enters anaphase with multiple polar chromosomes and both daughter cells die.
Supplementary Data from CENP-E Inhibition Induces Chromosomal Instability and Synergizes with Diverse Microtubule-Targeting Agents in Breast Cancer
Authors: Tucker John B. , Carlsen Caleb L. , Scribano Christina M. , Pattaswamy Srishrika M. , Burkard Mark E. , Weaver Beth A.
Published: August 2024

Supplementary Figures 1-4 and Tables 1-6
Supplementary Fig. S3 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S3
Supplementary Fig. S25 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S25
Supplementary Fig. S24 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S24
Supplementary Fig. S23 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S23
Supplementary Fig. S18 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S18
Supplementary Fig. S16 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S16
Supplementary Fig. S15 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S15
Supplementary Fig. S14 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S14
Supplementary Fig. S13 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S13
Supplementary Fig. S10 from FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis
Authors: Su Dan , Wang Ruobing , Chen Guangyu , Ding Chen , Liu Yueze , Tao Jinxin , Wang Yuanyang , Qiu Jiangdong , Luo Wenhao , Weng Guihu , Yang Gang , Zhang Taiping
Published: August 2024

Supplementary Fig. S10
Data from Transient Differentiation-State Plasticity Occurs during Acute Lymphoblastic Leukemia Initiation
Authors: Poort Vera M. , Hagelaar Rico , van Roosmalen Markus J. , Trabut Laurianne , Buijs-Gladdines Jessica G. C. A. M. , van Wijk Bram , Meijerink Jules , van Boxtel Ruben
Published: August 2024

Abstract
Leukemia is characterized by oncogenic lesions that result in a block of differentiation, whereas phenotypic plasticity is retained. A better understanding of how these two phenomena arise during leukemogenesis in humans could help inform diagnosis and treatment strategies. Here, we leveraged the well-defined differentiation states during T-cell development to pinpoint the initiation of T-cell acute lymphoblastic leukemia (T-ALL), an aggressive form of childhood leukemia, and study the emergence of phenotypic plasticity. Single-cell whole genome sequencing of leukemic blasts was combined with multiparameter flow cytometry to couple cell identity and clonal lineages. Irrespective of genetic events, leukemia-initiating cells altered their phenotypes by differentiation and dedifferentiation. The construction of the phylogenies of individual leukemias using somatic mutations revealed that phenotypic diversity is reflected by the clonal structure of cancer. The analysis also indicated that the acquired phenotypes are heritable and stable. Together, these results demonstrate a transient period of plasticity during leukemia initiation, where phenotypic switches seem unidirectional.

Significance: A method merging multicolor flow cytometry with single-cell whole genome sequencing to couple cell identity with clonal lineages uncovers differentiation-state plasticity in leukemia, reconciling blocked differentiation with phenotypic plasticity in cancer.
Data from Large-Scale Alternative Polyadenylation-Wide Association Studies to Identify Putative Cancer Susceptibility Genes
Authors: Guo Xingyi , Ping Jie , Yang Yaohua , Su Xinwan , Shu Xiao-Ou , Wen Wanqing , Chen Zhishan , Zhang Yunjing , Tao Ran , Jia Guochong , He Jingni , Cai Qiuyin , Zhang Qingrun , Giles Graham G. , Pearlman Rachel , Rennert Gad , Vodicka Pavel , Phipps Amanda , Gruber Stephen B. , Casey Graham , Peters Ulrike , Long Jirong , Lin Weiqiang , Zheng Wei
Published: August 2024

Abstract
Alternative polyadenylation (APA) modulates mRNA processing in the 3′-untranslated regions (3′ UTR), affecting mRNA stability and translation efficiency. Research into genetically regulated APA has the potential to provide insights into cancer risk. In this study, we conducted large APA-wide association studies to investigate associations between APA levels and cancer risk. Genetic models were built to predict APA levels in multiple tissues using genotype and RNA sequencing data from 1,337 samples from the Genotype-Tissue Expression project. Associations of genetically predicted APA levels with cancer risk were assessed by applying the prediction models to data from large genome-wide association studies of six common cancers among European ancestry populations: breast, ovarian, prostate, colorectal, lung, and pancreatic cancers. A total of 58 risk genes (corresponding to 76 APA sites) were associated with at least one type of cancer, including 25 genes previously not linked to cancer susceptibility. Of the identified risk APAs, 97.4% and 26.3% were supported by 3′-UTR APA quantitative trait loci and colocalization analyses, respectively. Luciferase reporter assays for four selected putative regulatory 3′-UTR variants demonstrated that the risk alleles of 3′-UTR variants, rs324015 (STAT6), rs2280503 (DIP2B), rs1128450 (FBXO38), and rs145220637 (LDHA), significantly increased the posttranscriptional activities of their target genes compared with reference alleles. Furthermore, knockdown of the target genes confirmed their ability to promote proliferation and migration. Overall, this study provides insights into the role of APA in the genetic susceptibility to common cancers.

Significance: Systematic evaluation of associations of alternative polyadenylation with cancer risk reveals 58 putative susceptibility genes, highlighting the contribution of genetically regulated alternative polyadenylation of 3′UTRs to genetic susceptibility to cancer.
Supplemental Table S4 from T2-FLAIR Mismatch Sign Predicts DNA Methylation Subclass and CDKN2A/B Status in IDH-Mutant Astrocytomas
Authors: Lee Matthew D. , Jain Rajan , Galbraith Kristyn , Chen Anna , Lieberman Evan , Patel Sohil H. , Placantonakis Dimitris G. , Zagzag David , Barbaro Marissa , Guillermo Prieto Eibl Maria del Pilar , Golfinos John G. , Orringer Daniel A. , Snuderl Matija
Published: August 2024

Supplemental Table S4. Multivariate Cox proportional hazards model for histologic grade 2 IDH-mutant astrocytomas
Supplemental Table S3 from T2-FLAIR Mismatch Sign Predicts DNA Methylation Subclass and CDKN2A/B Status in IDH-Mutant Astrocytomas
Authors: Lee Matthew D. , Jain Rajan , Galbraith Kristyn , Chen Anna , Lieberman Evan , Patel Sohil H. , Placantonakis Dimitris G. , Zagzag David , Barbaro Marissa , Guillermo Prieto Eibl Maria del Pilar , Golfinos John G. , Orringer Daniel A. , Snuderl Matija
Published: August 2024

Supplemental Table S3. Multivariate Cox proportional hazards model for histologic grade 4 IDH-mutant astrocytomas
Supplementary Table S5 from A Novel Approach to Quantify Heterogeneity of Intrahepatic Cholangiocarcinoma: The Hidden-Genome Classifier
Authors: Song Yi , Boerner Thomas , Drill Esther , Shin Paul , Kumar Sandeep , Sigel Carlie , Cercek Andrea , Kemeny Nancy , Abou-Alfa Ghassan , Iacobuzio-Donahue Christine , Cowzer Darren , Schultz Nikolaus , Walch Henry , Balachandran Vinod , Groot Koerkamp Bas , Kingham Peter , Soares Kevin , Wei Alice , D’Angelica Michael , Drebin Jeffrey , Chandwani Rohit , Harding James J. , Jarnagin William
Published: August 2024

Comparison of clinicopathologic characteristics of IHC genomic subclasses.
Supplementary Figure S7 from Urinary Metabolite Diagnostic and Prognostic Liquid Biopsy Biomarkers of Lung Cancer in Nonsmokers and Tobacco Smokers
Authors: Dalal Bhavik , Tada Takeshi , Patel Daxesh P. , Pine Sharon R. , Khan Mohammed , Oike Takahiro , Kanke Yasuyuki , Parker Amelia L. , Haznadar Majda , Toulabi Leila , Krausz Kristopher W. , Robles Ana I. , Bowman Elise D. , Gonzalez Frank J. , Harris Curtis C.
Published: August 2024

K-M plots of overall survival of lung cancer cases stratified by the median cutoff value of CR and NANA for smokers in (A) Exploratory cohort and (B) Validation cohort.
Supplementary Figure S5 from Urinary Metabolite Diagnostic and Prognostic Liquid Biopsy Biomarkers of Lung Cancer in Nonsmokers and Tobacco Smokers
Authors: Dalal Bhavik , Tada Takeshi , Patel Daxesh P. , Pine Sharon R. , Khan Mohammed , Oike Takahiro , Kanke Yasuyuki , Parker Amelia L. , Haznadar Majda , Toulabi Leila , Krausz Kristopher W. , Robles Ana I. , Bowman Elise D. , Gonzalez Frank J. , Harris Curtis C.
Published: August 2024

Distribution of CR and NANA metabolite levels in AA and EA participants. **** p<0.0001* p<0.05; AA, African American; EA, European American; LCC, lung cancer cases; x͂ = median
Supplementary Figure S3 from Urinary Metabolite Diagnostic and Prognostic Liquid Biopsy Biomarkers of Lung Cancer in Nonsmokers and Tobacco Smokers
Authors: Dalal Bhavik , Tada Takeshi , Patel Daxesh P. , Pine Sharon R. , Khan Mohammed , Oike Takahiro , Kanke Yasuyuki , Parker Amelia L. , Haznadar Majda , Toulabi Leila , Krausz Kristopher W. , Robles Ana I. , Bowman Elise D. , Gonzalez Frank J. , Harris Curtis C.
Published: August 2024

Distribution of CR and NANA metabolite levels in early-stage (I & II) cases. ****, p < 0.0001, ***, p < 0.001; ES, early-stage (I & II); x͂ = median
Supplementary Figure S2 from A Novel Approach to Quantify Heterogeneity of Intrahepatic Cholangiocarcinoma: The Hidden-Genome Classifier
Authors: Song Yi , Boerner Thomas , Drill Esther , Shin Paul , Kumar Sandeep , Sigel Carlie , Cercek Andrea , Kemeny Nancy , Abou-Alfa Ghassan , Iacobuzio-Donahue Christine , Cowzer Darren , Schultz Nikolaus , Walch Henry , Balachandran Vinod , Groot Koerkamp Bas , Kingham Peter , Soares Kevin , Wei Alice , D’Angelica Michael , Drebin Jeffrey , Chandwani Rohit , Harding James J. , Jarnagin William
Published: August 2024

Supplementary Figure S2 The genomic alterations in extrahepatic biliary tumors and hepatocellular carcinoma are visualized using two-dimensional embeddings of the lasso-selected active genetic predictors in the training data, which includes 190 extrahepatic cholangiocarcinoma (dark blue), 226 gallbladder cancer (light blue) and 277 hepatocellular carcinoma (orange). Each point in the plot represents the genetic profile of a single tumor. EHC: extrahepatic cholangiocarcinoma; GBC: gallbladder cancer; HCC: hepatocellular carcinoma.
Supplementary Figure S4 from Intraperitoneal Nivolumab after Debulking Surgery and Hyperthermic Intraperitoneal Chemotherapy in Advanced Ovarian Cancer: A Phase I Study with Expansion Cohort
Authors: Corbaux Pauline , Freyer Gilles , Glehen Olivier , You Benoît , Bakrin Naoual , Gelot Audrey , Dayde David , Sajous Christophe , Piffoux Max , Péron Julien , Lescuyer Gaelle , Payen Lea , Kepenekian Vahan
Published: August 2024

Kinetics of peritoneal nucleosomes and CA125
Supplementary Figure S3 from Tissue-Free Liquid Biopsies Combining Genomic and Methylation Signals for Minimal Residual Disease Detection in Patients with Early Colorectal Cancer from the UK TRACC Part B Study
Authors: Slater Susanna , Bryant Annette , Aresu Maria , Begum Ruwaida , Chen Hsiang-Chi , Peckitt Clare , Lazaro-Alcausi Retchel , Carter Paul , Anandappa Gayathri , Khakoo Shelize , Melcher Lucinda , Potter Vanessa , Marti Francisca M. , Huang Joesph , Branagan Graham , George Nicol , Abulafi Muti , Duff Sarah , Raja Ashraf , Gupta Ashish , West Nicholas , Bucheit Leslie , Rich Thereasa , Chau Ian , Cunningham David , Starling Naureen
Published: August 2024

Sensitivity analysis for landmark and longitudinal analysis populations (n=33)
Supplementary Figure S2 from Tissue-Free Liquid Biopsies Combining Genomic and Methylation Signals for Minimal Residual Disease Detection in Patients with Early Colorectal Cancer from the UK TRACC Part B Study
Authors: Slater Susanna , Bryant Annette , Aresu Maria , Begum Ruwaida , Chen Hsiang-Chi , Peckitt Clare , Lazaro-Alcausi Retchel , Carter Paul , Anandappa Gayathri , Khakoo Shelize , Melcher Lucinda , Potter Vanessa , Marti Francisca M. , Huang Joesph , Branagan Graham , George Nicol , Abulafi Muti , Duff Sarah , Raja Ashraf , Gupta Ashish , West Nicholas , Bucheit Leslie , Rich Thereasa , Chau Ian , Cunningham David , Starling Naureen
Published: August 2024

Bioinformatics review of patients with ctDNA detected with no recurrence or death from CRC
Supplementary Tables S1-S15 from Nivolumab with or without Ipilimumab Combined with Stereotactic Body Radiotherapy in Patients with Metastatic Biliary Tract Cancer: A Randomized Phase 2 Study
Authors: Markussen Alice , Johansen Julia S. , Larsen Finn O. , Theile Susann , Hasselby Jane P. , Willemoe Gro L. , Lorentzen Torben , Madsen Kasper , Høgdall Estrid , Poulsen Tim S. , Wilken Eva E. , Geertsen Poul , Behrens Claus P. , Svane Inge M. , Nielsen Dorte , Chen Inna M.
Published: August 2024

Supplementary Table S1. List of antibodies used for immunohistochemistry analysis Supplementary Table S2. Detailed description on SBRT and BOR for all the cases Supplementary Table S3. SBRT targets according to treatment group Supplementary Table S4. Treatment exposure according to treatment group Supplementary Table S5. Duration and efficacy of subsequent therapy Supplementary Table S6. Summary of adverse events occurred in all treated patients by treatment group Supplementary Table S7. Detailed results of tumor mutational burden analyses (TMB) Supplementary Table S8. Efficacy by baseline expression and on-treatment expression (week 2) of PD-L1 Supplementary Table S9. PD-L1 expression in patients with clinical benefit Supplementary Table S10. Baseline serum concentrations of CA 19-9, CRP, IL-6, IL-8, and IL-17 Supplementary Table S11. Baseline serum concentrations of CA-19.9, CRP, IL-6, IL-8, and IL-17 related to clinical characteristics Supplementary Table S12. Uni- and multivariate analysis of the circulation biomarkers and clinical characteristics at baseline according to progression free survival Supplementary Table S13. Uni- and multivariate analysis of the circulation biomarkers and clinical characteristics at baseline according to overall survival Supplementary Table S14. Uni- and multivariate analysis of the circulation biomarkers and clinical characteristics after 2 months of treatment according to overall survival Supplementary Table S15. Representativeness of study participants
Supplementary Table S4 from Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma
Authors: Saner Flurina A.M. , Takahashi Kazuaki , Budden Timothy , Pandey Ahwan , Ariyaratne Dinuka , Zwimpfer Tibor A. , Meagher Nicola S. , Fereday Sian , Twomey Laura , Pishas Kathleen I. , Hoang Therese , Bolithon Adelyn , Traficante Nadia , Alsop Kathryn , Christie Elizabeth L. , Kang Eun-Young , Nelson Gregg S. , Ghatage Prafull , Lee Cheng-Han , Riggan Marjorie J. , Alsop Jennifer , Beckmann Matthias W. , Boros Jessica , Brand Alison H. , Brooks-Wilson Angela , Carney Michael E. , Coulson Penny , Courtney-Brooks Madeleine , Cushing-Haugen Kara L. , Cybulski Cezary , El-Bahrawy Mona A. , Elishaev Esther , Erber Ramona , Gayther Simon A. , Gentry-Maharaj Aleksandra , Gilks C. Blake , Harnett Paul R. , Harris Holly R. , Hartmann Arndt , Hein Alexander , Hendley Joy , Hernandez Brenda Y. , Jakubowska Anna , Jimenez-Linan Mercedes , Jones Michael E. , Kaufmann Scott H. , Kennedy Catherine J. , Kluz Tomasz , Koziak Jennifer M. , Kristjansdottir Björg , Le Nhu D. , Lener Marcin , Lester Jenny , Lubiński Jan , Mateoiu Constantina , Orsulic Sandra , Ruebner Matthias , Schoemaker Minouk J. , Shah Mitul , Sharma Raghwa , Sherman Mark E. , Shvetsov Yurii B. , Soong T. Rinda , Steed Helen , Sukumvanich Paniti , Talhouk Aline , Taylor Sarah E. , Vierkant Robert A. , Wang Chen , Widschwendter Martin , Wilkens Lynne R. , Winham Stacey J. , Anglesio Michael S. , Berchuck Andrew , Brenton James D. , Campbell Ian , Cook Linda S. , Doherty Jennifer A. , Fasching Peter A. , Fortner Renée T. , Goodman Marc T. , Gronwald Jacek , Huntsman David G. , Karlan Beth Y. , Kelemen Linda E. , Menon Usha , Modugno Francesmary , Pharoah Paul D.P. , Schildkraut Joellen M. , Sundfeldt Karin , Swerdlow Anthony J. , Goode Ellen L. , DeFazio Anna , Köbel Martin , Ramus Susan J. , Bowtell David D.L. , Garsed Dale W.
Published: August 2024

Supplementary Table S4. Differential gene expression analysis comparing transcriptomes of tumors based on BRCA and RB1 alteration status.
Supplementary Table S3 from Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma
Authors: Saner Flurina A.M. , Takahashi Kazuaki , Budden Timothy , Pandey Ahwan , Ariyaratne Dinuka , Zwimpfer Tibor A. , Meagher Nicola S. , Fereday Sian , Twomey Laura , Pishas Kathleen I. , Hoang Therese , Bolithon Adelyn , Traficante Nadia , Alsop Kathryn , Christie Elizabeth L. , Kang Eun-Young , Nelson Gregg S. , Ghatage Prafull , Lee Cheng-Han , Riggan Marjorie J. , Alsop Jennifer , Beckmann Matthias W. , Boros Jessica , Brand Alison H. , Brooks-Wilson Angela , Carney Michael E. , Coulson Penny , Courtney-Brooks Madeleine , Cushing-Haugen Kara L. , Cybulski Cezary , El-Bahrawy Mona A. , Elishaev Esther , Erber Ramona , Gayther Simon A. , Gentry-Maharaj Aleksandra , Gilks C. Blake , Harnett Paul R. , Harris Holly R. , Hartmann Arndt , Hein Alexander , Hendley Joy , Hernandez Brenda Y. , Jakubowska Anna , Jimenez-Linan Mercedes , Jones Michael E. , Kaufmann Scott H. , Kennedy Catherine J. , Kluz Tomasz , Koziak Jennifer M. , Kristjansdottir Björg , Le Nhu D. , Lener Marcin , Lester Jenny , Lubiński Jan , Mateoiu Constantina , Orsulic Sandra , Ruebner Matthias , Schoemaker Minouk J. , Shah Mitul , Sharma Raghwa , Sherman Mark E. , Shvetsov Yurii B. , Soong T. Rinda , Steed Helen , Sukumvanich Paniti , Talhouk Aline , Taylor Sarah E. , Vierkant Robert A. , Wang Chen , Widschwendter Martin , Wilkens Lynne R. , Winham Stacey J. , Anglesio Michael S. , Berchuck Andrew , Brenton James D. , Campbell Ian , Cook Linda S. , Doherty Jennifer A. , Fasching Peter A. , Fortner Renée T. , Goodman Marc T. , Gronwald Jacek , Huntsman David G. , Karlan Beth Y. , Kelemen Linda E. , Menon Usha , Modugno Francesmary , Pharoah Paul D.P. , Schildkraut Joellen M. , Sundfeldt Karin , Swerdlow Anthony J. , Goode Ellen L. , DeFazio Anna , Köbel Martin , Ramus Susan J. , Bowtell David D.L. , Garsed Dale W.
Published: August 2024

Supplementary Table S3. Number of RNA-seq primary tumor samples by library type and alteration group.
Supplementary Table S2 from Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma
Authors: Saner Flurina A.M. , Takahashi Kazuaki , Budden Timothy , Pandey Ahwan , Ariyaratne Dinuka , Zwimpfer Tibor A. , Meagher Nicola S. , Fereday Sian , Twomey Laura , Pishas Kathleen I. , Hoang Therese , Bolithon Adelyn , Traficante Nadia , Alsop Kathryn , Christie Elizabeth L. , Kang Eun-Young , Nelson Gregg S. , Ghatage Prafull , Lee Cheng-Han , Riggan Marjorie J. , Alsop Jennifer , Beckmann Matthias W. , Boros Jessica , Brand Alison H. , Brooks-Wilson Angela , Carney Michael E. , Coulson Penny , Courtney-Brooks Madeleine , Cushing-Haugen Kara L. , Cybulski Cezary , El-Bahrawy Mona A. , Elishaev Esther , Erber Ramona , Gayther Simon A. , Gentry-Maharaj Aleksandra , Gilks C. Blake , Harnett Paul R. , Harris Holly R. , Hartmann Arndt , Hein Alexander , Hendley Joy , Hernandez Brenda Y. , Jakubowska Anna , Jimenez-Linan Mercedes , Jones Michael E. , Kaufmann Scott H. , Kennedy Catherine J. , Kluz Tomasz , Koziak Jennifer M. , Kristjansdottir Björg , Le Nhu D. , Lener Marcin , Lester Jenny , Lubiński Jan , Mateoiu Constantina , Orsulic Sandra , Ruebner Matthias , Schoemaker Minouk J. , Shah Mitul , Sharma Raghwa , Sherman Mark E. , Shvetsov Yurii B. , Soong T. Rinda , Steed Helen , Sukumvanich Paniti , Talhouk Aline , Taylor Sarah E. , Vierkant Robert A. , Wang Chen , Widschwendter Martin , Wilkens Lynne R. , Winham Stacey J. , Anglesio Michael S. , Berchuck Andrew , Brenton James D. , Campbell Ian , Cook Linda S. , Doherty Jennifer A. , Fasching Peter A. , Fortner Renée T. , Goodman Marc T. , Gronwald Jacek , Huntsman David G. , Karlan Beth Y. , Kelemen Linda E. , Menon Usha , Modugno Francesmary , Pharoah Paul D.P. , Schildkraut Joellen M. , Sundfeldt Karin , Swerdlow Anthony J. , Goode Ellen L. , DeFazio Anna , Köbel Martin , Ramus Susan J. , Bowtell David D.L. , Garsed Dale W.
Published: August 2024

Supplementary Table S2. Molecular and clinical data summary of 126 patients in the Multidisciplinary Ovarian Cancer Outcomes Group (MOCOG) study.
Supplementary Table S18 from Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma
Authors: Saner Flurina A.M. , Takahashi Kazuaki , Budden Timothy , Pandey Ahwan , Ariyaratne Dinuka , Zwimpfer Tibor A. , Meagher Nicola S. , Fereday Sian , Twomey Laura , Pishas Kathleen I. , Hoang Therese , Bolithon Adelyn , Traficante Nadia , Alsop Kathryn , Christie Elizabeth L. , Kang Eun-Young , Nelson Gregg S. , Ghatage Prafull , Lee Cheng-Han , Riggan Marjorie J. , Alsop Jennifer , Beckmann Matthias W. , Boros Jessica , Brand Alison H. , Brooks-Wilson Angela , Carney Michael E. , Coulson Penny , Courtney-Brooks Madeleine , Cushing-Haugen Kara L. , Cybulski Cezary , El-Bahrawy Mona A. , Elishaev Esther , Erber Ramona , Gayther Simon A. , Gentry-Maharaj Aleksandra , Gilks C. Blake , Harnett Paul R. , Harris Holly R. , Hartmann Arndt , Hein Alexander , Hendley Joy , Hernandez Brenda Y. , Jakubowska Anna , Jimenez-Linan Mercedes , Jones Michael E. , Kaufmann Scott H. , Kennedy Catherine J. , Kluz Tomasz , Koziak Jennifer M. , Kristjansdottir Björg , Le Nhu D. , Lener Marcin , Lester Jenny , Lubiński Jan , Mateoiu Constantina , Orsulic Sandra , Ruebner Matthias , Schoemaker Minouk J. , Shah Mitul , Sharma Raghwa , Sherman Mark E. , Shvetsov Yurii B. , Soong T. Rinda , Steed Helen , Sukumvanich Paniti , Talhouk Aline , Taylor Sarah E. , Vierkant Robert A. , Wang Chen , Widschwendter Martin , Wilkens Lynne R. , Winham Stacey J. , Anglesio Michael S. , Berchuck Andrew , Brenton James D. , Campbell Ian , Cook Linda S. , Doherty Jennifer A. , Fasching Peter A. , Fortner Renée T. , Goodman Marc T. , Gronwald Jacek , Huntsman David G. , Karlan Beth Y. , Kelemen Linda E. , Menon Usha , Modugno Francesmary , Pharoah Paul D.P. , Schildkraut Joellen M. , Sundfeldt Karin , Swerdlow Anthony J. , Goode Ellen L. , DeFazio Anna , Köbel Martin , Ramus Susan J. , Bowtell David D.L. , Garsed Dale W.
Published: August 2024

Supplementary Table S18. Half maximum inhibitory concentrations (IC50) for cisplatin, paclitaxel and olaparib in cell lines after CRISPR/Cas-9 mediated RB1 knockout.
Supplementary Table S11 from Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma
Authors: Saner Flurina A.M. , Takahashi Kazuaki , Budden Timothy , Pandey Ahwan , Ariyaratne Dinuka , Zwimpfer Tibor A. , Meagher Nicola S. , Fereday Sian , Twomey Laura , Pishas Kathleen I. , Hoang Therese , Bolithon Adelyn , Traficante Nadia , Alsop Kathryn , Christie Elizabeth L. , Kang Eun-Young , Nelson Gregg S. , Ghatage Prafull , Lee Cheng-Han , Riggan Marjorie J. , Alsop Jennifer , Beckmann Matthias W. , Boros Jessica , Brand Alison H. , Brooks-Wilson Angela , Carney Michael E. , Coulson Penny , Courtney-Brooks Madeleine , Cushing-Haugen Kara L. , Cybulski Cezary , El-Bahrawy Mona A. , Elishaev Esther , Erber Ramona , Gayther Simon A. , Gentry-Maharaj Aleksandra , Gilks C. Blake , Harnett Paul R. , Harris Holly R. , Hartmann Arndt , Hein Alexander , Hendley Joy , Hernandez Brenda Y. , Jakubowska Anna , Jimenez-Linan Mercedes , Jones Michael E. , Kaufmann Scott H. , Kennedy Catherine J. , Kluz Tomasz , Koziak Jennifer M. , Kristjansdottir Björg , Le Nhu D. , Lener Marcin , Lester Jenny , Lubiński Jan , Mateoiu Constantina , Orsulic Sandra , Ruebner Matthias , Schoemaker Minouk J. , Shah Mitul , Sharma Raghwa , Sherman Mark E. , Shvetsov Yurii B. , Soong T. Rinda , Steed Helen , Sukumvanich Paniti , Talhouk Aline , Taylor Sarah E. , Vierkant Robert A. , Wang Chen , Widschwendter Martin , Wilkens Lynne R. , Winham Stacey J. , Anglesio Michael S. , Berchuck Andrew , Brenton James D. , Campbell Ian , Cook Linda S. , Doherty Jennifer A. , Fasching Peter A. , Fortner Renée T. , Goodman Marc T. , Gronwald Jacek , Huntsman David G. , Karlan Beth Y. , Kelemen Linda E. , Menon Usha , Modugno Francesmary , Pharoah Paul D.P. , Schildkraut Joellen M. , Sundfeldt Karin , Swerdlow Anthony J. , Goode Ellen L. , DeFazio Anna , Köbel Martin , Ramus Susan J. , Bowtell David D.L. , Garsed Dale W.
Published: August 2024

Supplementary Table S11. Multivariable adjusted association of molecular alterations and overall survival in HGSC and ENOC among patients with residual disease* status.
Supplementary Table S10 from Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma
Authors: Saner Flurina A.M. , Takahashi Kazuaki , Budden Timothy , Pandey Ahwan , Ariyaratne Dinuka , Zwimpfer Tibor A. , Meagher Nicola S. , Fereday Sian , Twomey Laura , Pishas Kathleen I. , Hoang Therese , Bolithon Adelyn , Traficante Nadia , Alsop Kathryn , Christie Elizabeth L. , Kang Eun-Young , Nelson Gregg S. , Ghatage Prafull , Lee Cheng-Han , Riggan Marjorie J. , Alsop Jennifer , Beckmann Matthias W. , Boros Jessica , Brand Alison H. , Brooks-Wilson Angela , Carney Michael E. , Coulson Penny , Courtney-Brooks Madeleine , Cushing-Haugen Kara L. , Cybulski Cezary , El-Bahrawy Mona A. , Elishaev Esther , Erber Ramona , Gayther Simon A. , Gentry-Maharaj Aleksandra , Gilks C. Blake , Harnett Paul R. , Harris Holly R. , Hartmann Arndt , Hein Alexander , Hendley Joy , Hernandez Brenda Y. , Jakubowska Anna , Jimenez-Linan Mercedes , Jones Michael E. , Kaufmann Scott H. , Kennedy Catherine J. , Kluz Tomasz , Koziak Jennifer M. , Kristjansdottir Björg , Le Nhu D. , Lener Marcin , Lester Jenny , Lubiński Jan , Mateoiu Constantina , Orsulic Sandra , Ruebner Matthias , Schoemaker Minouk J. , Shah Mitul , Sharma Raghwa , Sherman Mark E. , Shvetsov Yurii B. , Soong T. Rinda , Steed Helen , Sukumvanich Paniti , Talhouk Aline , Taylor Sarah E. , Vierkant Robert A. , Wang Chen , Widschwendter Martin , Wilkens Lynne R. , Winham Stacey J. , Anglesio Michael S. , Berchuck Andrew , Brenton James D. , Campbell Ian , Cook Linda S. , Doherty Jennifer A. , Fasching Peter A. , Fortner Renée T. , Goodman Marc T. , Gronwald Jacek , Huntsman David G. , Karlan Beth Y. , Kelemen Linda E. , Menon Usha , Modugno Francesmary , Pharoah Paul D.P. , Schildkraut Joellen M. , Sundfeldt Karin , Swerdlow Anthony J. , Goode Ellen L. , DeFazio Anna , Köbel Martin , Ramus Susan J. , Bowtell David D.L. , Garsed Dale W.
Published: August 2024

Supplementary Table S10. Number of patients by study and histotype.
Supplementary Figure S9 from Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma
Authors: Saner Flurina A.M. , Takahashi Kazuaki , Budden Timothy , Pandey Ahwan , Ariyaratne Dinuka , Zwimpfer Tibor A. , Meagher Nicola S. , Fereday Sian , Twomey Laura , Pishas Kathleen I. , Hoang Therese , Bolithon Adelyn , Traficante Nadia , Alsop Kathryn , Christie Elizabeth L. , Kang Eun-Young , Nelson Gregg S. , Ghatage Prafull , Lee Cheng-Han , Riggan Marjorie J. , Alsop Jennifer , Beckmann Matthias W. , Boros Jessica , Brand Alison H. , Brooks-Wilson Angela , Carney Michael E. , Coulson Penny , Courtney-Brooks Madeleine , Cushing-Haugen Kara L. , Cybulski Cezary , El-Bahrawy Mona A. , Elishaev Esther , Erber Ramona , Gayther Simon A. , Gentry-Maharaj Aleksandra , Gilks C. Blake , Harnett Paul R. , Harris Holly R. , Hartmann Arndt , Hein Alexander , Hendley Joy , Hernandez Brenda Y. , Jakubowska Anna , Jimenez-Linan Mercedes , Jones Michael E. , Kaufmann Scott H. , Kennedy Catherine J. , Kluz Tomasz , Koziak Jennifer M. , Kristjansdottir Björg , Le Nhu D. , Lener Marcin , Lester Jenny , Lubiński Jan , Mateoiu Constantina , Orsulic Sandra , Ruebner Matthias , Schoemaker Minouk J. , Shah Mitul , Sharma Raghwa , Sherman Mark E. , Shvetsov Yurii B. , Soong T. Rinda , Steed Helen , Sukumvanich Paniti , Talhouk Aline , Taylor Sarah E. , Vierkant Robert A. , Wang Chen , Widschwendter Martin , Wilkens Lynne R. , Winham Stacey J. , Anglesio Michael S. , Berchuck Andrew , Brenton James D. , Campbell Ian , Cook Linda S. , Doherty Jennifer A. , Fasching Peter A. , Fortner Renée T. , Goodman Marc T. , Gronwald Jacek , Huntsman David G. , Karlan Beth Y. , Kelemen Linda E. , Menon Usha , Modugno Francesmary , Pharoah Paul D.P. , Schildkraut Joellen M. , Sundfeldt Karin , Swerdlow Anthony J. , Goode Ellen L. , DeFazio Anna , Köbel Martin , Ramus Susan J. , Bowtell David D.L. , Garsed Dale W.
Published: August 2024

Supplementary Figure S9. Bars indicate the number of differentially expressed genes (Benjamini-Hochberg adjusted P value < 0.05) between HGSC tumors grouped by HRD and/or RB1 status as shown.