bluuebunny/crossref_metadata_2025 huggingface dataset:
Superstable lipid vacuoles endow cartilage with its shape and biomechanics
Authors: Ramos Raul , Pham Kim T. , Prince Richard C. , Leiser-Miller Leith B. , Prasad Maneeshi S. , Wang Xiaojie , Nordberg Rachel C. , Bielajew Benjamin J. , Hu Jerry C. , Yamaga Kosuke , Oh Ji Won , Peng Tao , Datta Rupsa , Astrowskaja Aksana , Almet Axel A. , Burns John T. , Liu Yuchen , Guerrero-Juarez Christian Fernando , Tran Bryant Q. , Chu Yi-Lin , Nguyen Anh M. , Hsi Tsai-Ching , Lim Norman T.-L. , Schoeniger Sandra , Liu Ruiqi , Pai Yun-Ling , Vadivel Chella K. , Ingleby Sandy , McKechnie Andrew E. , van Breukelen Frank , Hoehn Kyle L. , Rasweiler John J. , Kohara Michinori , Loughry William J. , Weldy Scott H. , Cosper Raymond , Yang Chao-Chun , Lin Sung-Jan , Cooper Kimberly L. , Santana Sharlene E. , Bradley Jeffrey E. , Kiebish Michael A. , Digman Michelle , James David E. , Merrill Amy E. , Nie Qing , Schilling Thomas F. , Astrowski Aliaksandr A. , Potma Eric O. , García-Castro Martín I. , Athanasiou Kyriacos A. , Behringer Richard R. , Plikus Maksim V.
Published: January 2025

Conventionally, the size, shape, and biomechanics of cartilages are determined by their voluminous extracellular matrix. By contrast, we found that multiple murine cartilages consist of lipid-filled cells called lipochondrocytes. Despite resembling adipocytes, lipochondrocytes were molecularly distinct and produced lipids exclusively through de novo lipogenesis. Consequently, lipochondrocytes grew uniform lipid droplets that resisted systemic lipid surges and did not enlarge upon obesity. Lipochondrocytes also lacked lipid mobilization factors, which enabled exceptional vacuole stability and protected cartilage from shrinking upon starvation. Lipid droplets modulated lipocartilage biomechanics by decreasing the tissue’s stiffness, strength, and resilience. Lipochondrocytes were found in multiple mammals, including humans, but not in nonmammalian tetrapods. Thus, analogous to bubble wrap, superstable lipid vacuoles confer skeletal tissue with cartilage-like properties without “packing foam–like” extracellular matrix.
In Science Journals
Authors: Smith Jesse , Lavine Marc S. , Lopez Bianca , Grocholski Brent , Vignieri Sacha , Osborne Ian S. , Maroso Mattia , Williams Allison , Simonti Corinne , Hurtley Stella M. , Kelly Priscilla N. , Szuromi Phil , Ferrarelli Leslie K. , Olingy Claire
Published: January 2025

Highlights from the
Science
family of journals
Dogs sniff out truffles—in the name of science
Authors: Wilcox Christie
Published: January 2025

Their keen noses are helping researchers uncover the diversity of the Pacific Northwest’s underground fungi
How a neurotransmitter drives brainwashing during sleep
Authors: Leslie Mitch
Published: January 2025

Pulsating blood vessels push fluid into and out of the brains of slumbering mice
Overheard at a conference: an in-class activity to foster classroom discussion on ethics and experimental systems in microbiology research
Authors: Tremblay Yannick D. N. , Thomassin Jenny-Lee
Published: January 2025

Responsible conduct of research and ethics are key components of microbiology and are carefully considered at all steps from project conception, design, data analysis to publication, and post-publication use of samples. Yet stand-alone courses covering these topics are not always core components of undergraduate biomedical education curricula. Here, we describe a classroom activity for undergraduate students designed to promote increased understanding of ethics and experimental design in biomedical research.
Origin and paleo-oceanic conditions of Guadalupian bedded chert in the northern margin of the Upper Yangtze region: Implication for marine anoxia and the Permian Chert Event
Authors: Yu Yu , Lin Liangbiao , Li Qian , Lu Gang , Liu Fengbin , Nan Fanchi
Published: January 2025

Unusual accumulations of chert developed worldwide over tens of millions of years during the Permian Period, and they are referred to as the Permian Chert Event. Middle Permian cherts, in the forms of nodules and bedded cherts, are widely distributed in the Yangtze region. A comprehensive study was conducted on middle Permian cherts from the Xibeixiang section on the northern margin of the Upper Yangtze region. This study combined micropaleontology and geochemical analyses to determine the ages, paleo-oceanic conditions, and implications of the Permian Chert Event. Identification of conodonts and brachiopods showed that the Xibeixiang cherts belong to the late Capitanian Jinogondolella granti zone. The Xibeixiang cherts can be divided into two subunits. The lower section (Sc1) consists of a thin interbedded layer of bedded chert, shale, and limestone, which were strongly influenced by upwelling with relatively low temperatures. The upper section (Sc2) comprises a thin interbedded layer of bedded chert and shale. The intermediate chemical index of alteration (CIA) values of Sc2 suggest a temperature increase compared to Sc1 and a weakening of upwelling activity. The Sc2 section of the Xibeixiang cherts is consistent with the end-Capitanian oceanic anoxic event and coincides in time with the end-Guadalupian biotic crisis, supporting a connection between the biotic crisis and marine anoxia. The Permian Chert Event distributions in the Guadalupian Epoch exhibit substantial temporal and spatial heterogeneity on a global scale. Alterations in the oceanic environment likely caused the shoaling of the lysocline and calcite compensation depth (CCD). This allowed cherts to be deposited instead of carbonates, even in relatively shallow-marine areas, such as continental margin environments.
Complicated foregut duplication cyst presenting as broncho-oesophageal fistula
Authors: Sehgal Mehak , Yadav Devendra Kumar , Jana Manisha
Published: January 2025

Oesophageal duplication cysts are a subtype of foregut cysts, associated with the presence of ectopic gastric mucosa. Gastric acid secreted by this mucosa can lead to complications. We report one such unusual case of complication leading to the formation of broncho-oesophageal fistula in a duplication cyst. A girl in her middle childhood presented with a long-duration cough and multiple respiratory infections. On investigation, a right-sided paraoesophageal air-filled cystic lesion was identified, with a possible communication with the airway, confirmed by an oral contrast study. On further workup, a positive uptake was noted on Meckel’s scan, signifying the presence of ectopic gastric mucosa. The findings were confirmed surgically and on histopathology and were consistent with a duplication cyst with broncho-oesophageal fistula. An unexplained upper respiratory tract symptomatology should mandate imaging, which would enable early detection and appropriate surgical management of such cysts in infancy and childhood.
Root-soil interface friction jointly amplified by high root density and shear deflection
Authors: LV Ming , Song Dongri , Ni Jun-Jun
Published: January 2025

Plant roots significantly enhance the stability of shallow slopes. However, the mechanism of the root-soil interaction at root-bundle scale remains unclear. The objective of this study is to reveal the factors that control root-soil interface frictional stress at root-bundle scale. Through theoretical analysis, it is clarified that spatiotemporal inhomogeneity exists in root-soil interface frictional stress, and it could be amplified by root density and root deflection angle. Large-scale shear tests with 160 mm and 10 mm shear zones were then conducted to verify this hypothesis, where variations in shear zone thicknesses corresponded to different shear deflections. The number of roots was measured within the sheared zone. Results reveal that the average root-soil interface frictional stress of rooted soils with 10 mm shear zone is 66% higher than that for rooted soils with 160 mm shear zone. During the shear process, the state of roots transitions from stretching to sliding, accompanied by increasing root-soil interface friction. This study confirms that root-soil interface frictional stress is jointly amplified by root density and root deflection angle, providing robust evidence for constructing physics-based mechanical reinforcement models.
Peeling Close to the Orientability Threshold – Spatial Coupling in Hashing-Based Data Structures
Authors: Walzer Stefan
Published: January 2025

In multiple-choice data structures each element

\(x\)

in a set

\(S\)

of

\(m\)

keys
is associated with a random set
e(x)
⊆ [
n
] of
buckets
with capacity

\(\ell \ge 1\)

by hash functions. This setting is captured by the hypergraph

\(H=([n],\{e(x)\mid x \in S\})\)

. Accomodating each key in an associated bucket amounts to finding an
ℓ-orientation
of

\(H\)

assigning to each hyperedge an incident vertex such that each vertex is assigned at most ℓ hyperedges. If each subhypergraph of

\(H\)

has minimum degree at most ℓ, then an ℓ-orientation can be found greedily and

\(H\)

is called
ℓ-peelable
. Peelability has a central role in invertible Bloom lookup tables and can speed up the construction of retrieval data structures, perfect hash functions and cuckoo hash tables.

Many hypergraphs exhibit sharp density thresholds with respect to ℓ-orientability and ℓ-peelability, i.e. as the density

\(c=\frac{m}{n}\)

grows past a critical value, the probability of these properties drops from almost

\(1\)

to almost

\(0\)

. In fully random

\(k\)

-uniform hypergraphs the thresholds

\(c_{k,l}^\ast\)

for ℓ-orientability significantly exceed the thresholds for ℓ-peelability. In this paper, for every

\(k \ge 2\)

and

\(\ell \ge 1\)

with

\((k,\ell)\ne(2,1)\)

and every

\(z>0\)

, we construct a new family of random

\(k\)

-uniform hypergraphs with i.i.d. random hyperedges such that
both
the ℓ-peelability and the ℓ-orientability thresholds approach

\(c_{k,l}^\ast\)

as

\(z \rightarrow \infty\)

. In particular we achieve

\(1\)

-peelability at densities arbitrarily close to

\(1\)

, extending the reach of greedy algorithms.

Our construction is simple: The

\(n\)

vertices are linearly ordered and each hyperedge selects its

\(k\)

elements uniformly at random from a random range of

\(\frac{n}{z+1}\)

consecutive vertices. We thus exploit the phenomenon of
threshold saturation
via
spatial coupling
discovered in the context of low-density parity-check codes. Once the connection to data structures is in plain sight, a framework by Kudekar, Kudekar, Richardson and Urbanke [42] does the heavy lifting in our proof.

We demonstrate the usefulness of our construction using our hypergraphs as a drop-in replacement in a retrieval data structure by Botelho et al. [9]. This reduces memory usage from

\(\approx1.23m\)

bits to

\(\approx1.12m\)

bits (for input size

\(m\)

). Using

\(k>3\)

attains, at small sacrifices in running time, further improvements to memory usage.
Supplemental Table 6 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study
Authors: Edwards Kathryn C. , Khan Asia , Sharma Eva , Wang Lanqing , Feng June , Blount Benjamin C. , Sosnoff Connie S. , Smith Danielle M. , Goniewicz Maciej L. , Pearson Jennifer , Villanti Andrea C. , Delnevo Cristine D. , Bover-Manderski Michelle T. , Hatsukami Dorothy K. , Niaura Raymond , Everard Colm , Kimmel Heather L. , Duffy Kara , Rostron Brian L. , Del Valle-Pinero Arseima Y. , van Bemmel Dana M. , Stanton Cassandra A. , Hyland Andrew
Published: January 2025

Supplemental Table 6 provides Wave 1 and Wave 4 TNE-2 cut-points for any tobacco use.
Supplemental Table 5 from Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study
Authors: Edwards Kathryn C. , Khan Asia , Sharma Eva , Wang Lanqing , Feng June , Blount Benjamin C. , Sosnoff Connie S. , Smith Danielle M. , Goniewicz Maciej L. , Pearson Jennifer , Villanti Andrea C. , Delnevo Cristine D. , Bover-Manderski Michelle T. , Hatsukami Dorothy K. , Niaura Raymond , Everard Colm , Kimmel Heather L. , Duffy Kara , Rostron Brian L. , Del Valle-Pinero Arseima Y. , van Bemmel Dana M. , Stanton Cassandra A. , Hyland Andrew
Published: January 2025

Supplemental Table 5 provides Wave 1 and Wave 4 cotinine cut-points for any tobacco use.
Supplemental Figure 1 from Urinary Cotinine and Cotinine + Trans-3′-Hydroxycotinine (TNE-2) Cut-points for Distinguishing Tobacco Use from Nonuse in the United States: PATH Study (2013–2014)
Authors: Edwards Kathryn C. , Naz Tasmia , Stanton Cassandra A. , Goniewicz Maciej L. , Hatsukami Dorothy K. , Smith Danielle M. , Wang Lanqing , Villanti Andrea , Pearson Jennifer , Blount Benjamin C. , Bansal-Travers Maansi , Feng June , Niaura Raymond , Manderski Michelle T. Bover , Sosnoff Connie S. , Delnevo Cristine D. , Duffy Kara , Del Valle-Pinero Arseima Y. , Rostron Brian L. , Everard Colm , Kimmel Heather L. , van Bemmel Dana M. , Hyland Andrew
Published: January 2025

This flow diagram outlines exclusion criteria that led to our final analytic sample. All N s are unweighted. Abbreviations: P30D= past 30-days. *This is the reference category for the exclusive or polytobacco cigarette use groups. Additional exclusion criteria was added to ensure logically consistent daily/non-daily cigarette use responses since we also stratified by daily/non-daily use for these analyses.
Supplementary Table 1 from Metabolic Syndrome and Risks of Breast Cancer Outcomes for Luminal, Triple-Negative, and HER2-Overexpressing Subtypes
Authors: Loroña Nicole C. , Othus Megan , Malone Kathleen E. , Linden Hannah M. , Tang Mei-Tzu C. , Li Christopher I.
Published: January 2025

Supplementary Table 1 presents the distribution of patient characteristics among those with and without extended follow-up for recurrence.
Sup. Figure 8 from Gastric Cancer Risk among Immigrants and Socioeconomic Groups in the Netherlands
Authors: Mülder Duco T. , van de Schootbrugge - Vandermeer Hilliene J. , O’Mahony James F. , Sun Dianqin , Han Weiran , Verhoeven Rob H.A. , van Loo Marlon , van de Veerdonk Wessel , Spaander Manon C.W. , Lansdorp-Vogelaar Iris
Published: January 2025

Odd ratios of gastric cancer per socioeconomic status compared to the general population, controlled for age, sex and immigration status (first-generation and second-generation). The results are presented in totals and stratified by topographic location (non-cardia and cardia).
Sup. Figure 1 from Gastric Cancer Risk among Immigrants and Socioeconomic Groups in the Netherlands
Authors: Mülder Duco T. , van de Schootbrugge - Vandermeer Hilliene J. , O’Mahony James F. , Sun Dianqin , Han Weiran , Verhoeven Rob H.A. , van Loo Marlon , van de Veerdonk Wessel , Spaander Manon C.W. , Lansdorp-Vogelaar Iris
Published: January 2025

Odds ratios of gastric cancer per country of birth compared to the general population, controlled for age and sex. The results are presented in totals and stratified by topographic location (non-cardia and cardia).
Supplementary Table S4 from The Influence of DNA Repair Genes and Prenatal Tobacco Exposure on Risk of Childhood Acute Lymphoblastic Leukemia: A Gene–Environment Interaction Study
Authors: Wang Xinran , Zhong Charlie , Ma Xiaomei , Metayer Catherine , Mancuso Nicolas , Gauderman W. James , Wiemels Joseph L.
Published: January 2025

Supplementary Table S4 shows a full list of G x E interaction p-values in the two main study sets (non-Latino whites only), and meta-analyzed together.
Supplementary Figure S8 from The Influence of DNA Repair Genes and Prenatal Tobacco Exposure on Risk of Childhood Acute Lymphoblastic Leukemia: A Gene–Environment Interaction Study
Authors: Wang Xinran , Zhong Charlie , Ma Xiaomei , Metayer Catherine , Mancuso Nicolas , Gauderman W. James , Wiemels Joseph L.
Published: January 2025

Supplementary Figure S8 shows a "coefficient effect size" comparison between Non-Latino white and Latino children with ALL compared to controls. The effect sizes generally are not associated as a group.
Table S7 from Physical Activity during Adolescence and Early Adulthood and Breast Cancer Risk before Age 40 Years
Authors: Kehm Rebecca D. , Genkinger Jeanine M. , Knight Julia A. , MacInnis Robert J. , Liao Yuyan , Li Shuai , Weideman Prue C. , Chung Wendy K. , Kurian Allison W. , Colonna Sarah V. , Andrulis Irene L. , Buys Saundra S. , Daly Mary B. , John Esther M. , Hopper John L. , Terry Mary Beth
Published: January 2025

Hazard ratios and 95% confidence intervals for the association of recreational physical activity during both adolescence and early adulthood with breast cancer risk before the age of 40 years in the restricted cohort, n = 10,079
Table S1 from Physical Activity during Adolescence and Early Adulthood and Breast Cancer Risk before Age 40 Years
Authors: Kehm Rebecca D. , Genkinger Jeanine M. , Knight Julia A. , MacInnis Robert J. , Liao Yuyan , Li Shuai , Weideman Prue C. , Chung Wendy K. , Kurian Allison W. , Colonna Sarah V. , Andrulis Irene L. , Buys Saundra S. , Daly Mary B. , John Esther M. , Hopper John L. , Terry Mary Beth
Published: January 2025

Characteristics of the full cohort by category of recreational physical activity during adolescence and early adulthood, n = 26,348
Figure S5 from Physical Activity during Adolescence and Early Adulthood and Breast Cancer Risk before Age 40 Years
Authors: Kehm Rebecca D. , Genkinger Jeanine M. , Knight Julia A. , MacInnis Robert J. , Liao Yuyan , Li Shuai , Weideman Prue C. , Chung Wendy K. , Kurian Allison W. , Colonna Sarah V. , Andrulis Irene L. , Buys Saundra S. , Daly Mary B. , John Esther M. , Hopper John L. , Terry Mary Beth
Published: January 2025

Figure S5 presents the association of recreational physical activity during early adulthood with breast cancer risk before age 40 years stratified by recreational physical activity during adolescence in the restricted cohort, n = 10,079.
Figure S2 from Physical Activity during Adolescence and Early Adulthood and Breast Cancer Risk before Age 40 Years
Authors: Kehm Rebecca D. , Genkinger Jeanine M. , Knight Julia A. , MacInnis Robert J. , Liao Yuyan , Li Shuai , Weideman Prue C. , Chung Wendy K. , Kurian Allison W. , Colonna Sarah V. , Andrulis Irene L. , Buys Saundra S. , Daly Mary B. , John Esther M. , Hopper John L. , Terry Mary Beth
Published: January 2025

Figure S2 presents an overview of the selection criteria applied to identify the restricted cohort used in the secondary analyses.
Supplementary Table S8 from Diet Changes and Colorectal Cancer Risk in the UK Biobank
Authors: Hoang Tung , Cho Sooyoung , Shin Aesun
Published: January 2025

Sensitivity analysis of associations between dietary changes and colorectal cancer risk among individuals with only two assessment visits
Supplementary Table S6 from Diet Changes and Colorectal Cancer Risk in the UK Biobank
Authors: Hoang Tung , Cho Sooyoung , Shin Aesun
Published: January 2025

Number of participants by dietary changes across assessment visits
Supplementary Table S5 from Diet Changes and Colorectal Cancer Risk in the UK Biobank
Authors: Hoang Tung , Cho Sooyoung , Shin Aesun
Published: January 2025

Sensitivity analysis of associations between dietary changes and colorectal cancer risk among 26,895 men and 28,208 women who had no cancer at baseline
Supplementary Table S2 from Changes in Breast Cancer Screening Prevalence in the United States during the COVID-19 Pandemic, 2018 to 2022
Authors: Ashad-Bishop Kilan C. , Star Jessica , Giaquinto Angela N. , Smith Robert A. , Jemal Ahmedin , Bandi Priti
Published: January 2025

Supplementary Table S2: Characteristics of included and excluded populations overall and by survey year
Supplementary Table S10 from Diet Changes and Colorectal Cancer Risk in the UK Biobank
Authors: Hoang Tung , Cho Sooyoung , Shin Aesun
Published: January 2025

Associations between dietary intake and colorectal cancer risk among 179,744 men and 212,504 women who had dietary data at baseline only
Table S7 from Risk of Developing a Subsequent Primary Cancer among Adult Cancer Survivors
Authors: Warkentin Matthew T. , Cheung Winson Y. , Brenner Darren R. , O’Sullivan Dylan E.
Published: January 2025

Supplemental Table 7. Standardized incidence ratios (SIR) and 95% confidence intervals for the risk of a different-site subsequent primary cancer (SPC) by income quartiles and urban/rural location at time of the FPC diagnosis.
Table S2 from Risk of Developing a Subsequent Primary Cancer among Adult Cancer Survivors
Authors: Warkentin Matthew T. , Cheung Winson Y. , Brenner Darren R. , O’Sullivan Dylan E.
Published: January 2025

Supplemental Table 2. Risk of developing a subsequent primary cancer by follow-up period. Follow-up was broken into four contiguous periods from the start of the survival, defined as six months after diagnosis of the first primary cancer, until the end of follow-up. Observed and expected number of subsequent primary cancers and the standardized incidence ratios with confidence intervals are reported according to first primary cancer site and sex. Cells based on observed subsequent primary cancers less than 10 were not reportable (NR) due to guidelines for identifiable data in the Alberta Cancer Registry.
Supplementary Table S2 from Biomarkers of Nicotine and Toxicant Exposure by E-Liquid Nicotine Concentration Level among US Adult Exclusive E-Cigarette Users
Authors: Dai Hongying Daisy , Reyes Sara , Buckley James , Maloney Patrick
Published: January 2025

Supplementary Table S2 describes biomarkers of exposure comparisons by “I Don’t Know”, nicotine, and no-nicotine e-cigarette use groups.
Supplementary Table S4 from Characterization of the Biological Variability of the Angiome Biomarkers over Time in Healthy Participants
Authors: Liu Yingmiao , Li Jiatong , Lyu Jing , Howard Lauren E. , Sibley Alexander B. , Starr Mark D. , Brady John C. , Arrowood Christy , Kohn Elise C. , Ivy S. Percy , Hurwitz Herbert I. , Abbruzzese James L. , Owzar Kouros , Nixon Andrew B.
Published: January 2025

Supplementary Table S4 shows the association of fasting or fed status with biomarker levels.
Supplementary Figure S3 from Characterization of the Biological Variability of the Angiome Biomarkers over Time in Healthy Participants
Authors: Liu Yingmiao , Li Jiatong , Lyu Jing , Howard Lauren E. , Sibley Alexander B. , Starr Mark D. , Brady John C. , Arrowood Christy , Kohn Elise C. , Ivy S. Percy , Hurwitz Herbert I. , Abbruzzese James L. , Owzar Kouros , Nixon Andrew B.
Published: January 2025

Supplementary Figure S3 shows homoscedasticity and normality of residuals.
Supplementary Figure S1 from Characterization of the Biological Variability of the Angiome Biomarkers over Time in Healthy Participants
Authors: Liu Yingmiao , Li Jiatong , Lyu Jing , Howard Lauren E. , Sibley Alexander B. , Starr Mark D. , Brady John C. , Arrowood Christy , Kohn Elise C. , Ivy S. Percy , Hurwitz Herbert I. , Abbruzzese James L. , Owzar Kouros , Nixon Andrew B.
Published: January 2025

Supplementary Figure S1 shows biomarker variability over time.
Supplementary Figure S3 from Small Area Estimation of PSA Testing in US States and Counties
Authors: Liu Benmei , Pleis John R. , Khan Diba , Parsons Van L. , Lee Richard , Cai Bill , Town Machell , Feuer Eric J. , He Yulei
Published: January 2025

Model diagnosis plots from the 2018-2019 county-level delta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the parameter associated with covariate “Population density”.
Supplementary Figure S2 from Small Area Estimation of PSA Testing in US States and Counties
Authors: Liu Benmei , Pleis John R. , Khan Diba , Parsons Van L. , Lee Richard , Cai Bill , Town Machell , Feuer Eric J. , He Yulei
Published: January 2025

Model diagnosis plots from the 2018-2019 county-level theta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the parameter associated with covariate “% of rural areas”.
Supplementary Figure S1 from Small Area Estimation of PSA Testing in US States and Counties
Authors: Liu Benmei , Pleis John R. , Khan Diba , Parsons Van L. , Lee Richard , Cai Bill , Town Machell , Feuer Eric J. , He Yulei
Published: January 2025

Trend of single year direct estimates of PSA Screening rates (%) and prostate cancer incidence rates for men ages 55-69 from 2012 to 2019. The plots include direct estimates from the NHIS (blue solid line) and the BRFSS (black dash line), the age-adjusted prostate cancer incidence rates (per 100 K population(red dash line), and the aggregated modeled estimates from the county-level model to the national level (green solid line, data presented in the mid-point of each data period, i.e., 2014 and 2018.5, respectively). USPSTF made Grade D recommendation in May 2012 and Grade C recommendation in May 2018 for Prostate cancer screening.
Table S5 - Sensitivity Analysis from Strength in Numbers: Identifying a Significant Association between High Serum Ferritin Levels and Newly Diagnosed Malignancy in a Large Health Organization Cohort
Authors: Simchovitz Gesher Alon , Grinin Keren , Atias Dor , Patalon Tal , Gazit Sivan , Hoshen Moshe , Dagan Amir
Published: January 2025

SF sensitivity analysis for the diagnosis of cancer
Table S2 - Confounder ICD Codes from Strength in Numbers: Identifying a Significant Association between High Serum Ferritin Levels and Newly Diagnosed Malignancy in a Large Health Organization Cohort
Authors: Simchovitz Gesher Alon , Grinin Keren , Atias Dor , Patalon Tal , Gazit Sivan , Hoshen Moshe , Dagan Amir
Published: January 2025

ICD codes used in the study as confounding variables for the connection between SF and malignancy
Table S8 from Hispanic/Latino Ethnicity Is an Independent Predictor of Worse Survival for Gastric Cancer in a Multicenter Safety-Net Patient Population
Authors: Klingbeil Kyle D. , Dillon Dustin L. , Zarrinkhoo Erfan , Bechay Kirollos , Park Joon Y. , Rook Jordan M. , Mederos Michael A. , Girgis Mark D. , Chen Keren , Chen Kuan-Ting , Bastani Roshan , Manouchehr-Pour Shawdi , Dubé Priyanka , Viragh Karoly , Thomas Mariam , Chiu Victor , Kadera Brian E.
Published: January 2025

Cox model stratified by ‘Treatment Site’, three category model
Supplementary Table 2 from Biomarkers Suitable for Early Detection of Intrathoracic Cancers in Primary Care: A Systematic Review
Authors: Hamad Wasim , Grigore Bogdan , Walford Hugo , Peters Jaime , Alexandris Panos , Bonfield Stefanie , Standen Laura , Boscott Rachel , Behiyat Dawnya , Kuhn Isla , Neal Richard D. , Walter Fiona M. , Calanzani Natalia
Published: January 2025

Risk of Bias and Applicability Assessment - QUADAS-2
Table S4 from Hispanic/Latino Ethnicity Is an Independent Predictor of Worse Survival for Gastric Cancer in a Multicenter Safety-Net Patient Population
Authors: Klingbeil Kyle D. , Dillon Dustin L. , Zarrinkhoo Erfan , Bechay Kirollos , Park Joon Y. , Rook Jordan M. , Mederos Michael A. , Girgis Mark D. , Chen Keren , Chen Kuan-Ting , Bastani Roshan , Manouchehr-Pour Shawdi , Dubé Priyanka , Viragh Karoly , Thomas Mariam , Chiu Victor , Kadera Brian E.
Published: January 2025

Exclusion Proportions by Race
Table S3 from Hispanic/Latino Ethnicity Is an Independent Predictor of Worse Survival for Gastric Cancer in a Multicenter Safety-Net Patient Population
Authors: Klingbeil Kyle D. , Dillon Dustin L. , Zarrinkhoo Erfan , Bechay Kirollos , Park Joon Y. , Rook Jordan M. , Mederos Michael A. , Girgis Mark D. , Chen Keren , Chen Kuan-Ting , Bastani Roshan , Manouchehr-Pour Shawdi , Dubé Priyanka , Viragh Karoly , Thomas Mariam , Chiu Victor , Kadera Brian E.
Published: January 2025

Exclusion Proportions by Ethnicity
Table S2 from Hispanic/Latino Ethnicity Is an Independent Predictor of Worse Survival for Gastric Cancer in a Multicenter Safety-Net Patient Population
Authors: Klingbeil Kyle D. , Dillon Dustin L. , Zarrinkhoo Erfan , Bechay Kirollos , Park Joon Y. , Rook Jordan M. , Mederos Michael A. , Girgis Mark D. , Chen Keren , Chen Kuan-Ting , Bastani Roshan , Manouchehr-Pour Shawdi , Dubé Priyanka , Viragh Karoly , Thomas Mariam , Chiu Victor , Kadera Brian E.
Published: January 2025

Specified rates of misdiagnosis given to patients with gastric adenocarcinoma
Data from Assessing 1-Year Comorbidity Prevalence and Its Survival Implications in Medicare Beneficiaries Diagnosed with Cancer: Insights from a New SEER–Medicare Resource
Authors: Noone Anne-Michelle , Mariotto Angela B. , Hong Yoon Duk , Enewold Lindsey
Published: January 2025

AbstractBackground:
Almost half of Medicare beneficiaries diagnosed with cancer from 1992 to 2005 had at least one comorbid condition. Conditions affect a range of domains from clinical decision-making to quality of life, which are important to consider when conducting cancer research. We introduce a new Surveillance, Epidemiology, and End Results (SEER)–Medicare resource to facilitate using claims data for patients with cancer.
Methods:
We use the SEER–Medicare resource to estimate prevalence of comorbidities, 5-year survival rate by cancer site, stage, age and comorbidity severity, and prevalence of surgery by comorbidity for breast, prostate, colorectal and lung cancers.
Results:
Overall, the most prevalent comorbidities in the year prior to cancer diagnosis were diabetes (27%), chronic obstructive pulmonary disease (22%), peripheral vascular disease (14%), and congestive heart failure (12%). Comorbidity severity had a greater impact on the probability of dying from noncancer causes than dying from cancer. Severity of comorbidity and age consistently increased the probability of noncancer death. The percentage of persons receiving surgery tended to be lower among those with severe comorbidity.
Conclusions:
This study demonstrates the utility of new SEER*Stat databases that contain Medicare beneficiaries and claims-based measures of comorbidity. Our results demonstrate that comorbidity is common among older persons diagnosed with cancer and the impact of comorbidity on the probability of dying from cancer varies by cancer site, stage at diagnosis, and age.
Impact:
Comorbidity is common among persons with cancer and affects survival. Future research on the impact of comorbidity among cancer survivors is facilitated by new databases.
Data from Alcohol and Cannabis Use Associated with Cardiometabolic Biomarkers among “All of Us” Cancer Survivors
Authors: Arizpe Angel , Chapman Tiffany M. , Rodriguez Claudia , Carvajal Alberto , Queen Katelyn J. , Navarro Stephanie , Ochoa-Dominguez Carol Y. , Kim Sue E. , Toledo-Corral Claudia M. , Farias Albert J.
Published: January 2025

AbstractBackground:
Cancer survivors are at increased risk for cardiometabolic comorbidities following cancer treatment, which may be further exacerbated by cannabis and alcohol use. We aimed to examine the direct relationships of cannabis, alcohol, and the co-use of both substances with cardiometabolic risk factors and to explore disparities by race/ethnicity and sex.
Methods:
Cross-sectional data were extracted from adult cancer survivors in the “All of Us” from 2018 to 2022. Cannabis use was defined as occasional or frequent/regular cannabis use (vs. never) in the past 3 months and hazardous alcohol intake (AUDIT-C >3 for females; AUDIT-C >4 for males) versus nonhazardous in the past year, respectively. Co-use was defined as participants who engaged in regular cannabis and hazardous alcohol intake. We identified binary cardiovascular, immune, and metabolic system biomarkers, with high values defined by clinically established cutoffs or >75th percentile. We used multivariable logistic regression adjusting for sociodemographic and clinical factors.
Results:
In our sample (N = 7,054), 7.6% were Hispanic, 6.2% were Black, and 86.2% were White cancer survivors. Less than 5% of Hispanic and White survivors reported substance co-use compared with 7% of Black survivors. Compared with never-users, co-users were 1.58 (95% confidence interval, 1.14–2.19) more likely to have high blood pressure. No significant associations were found between co-use and immune biomarkers or sex differences.
Conclusions:
Co-use of cannabis and hazardous alcohol may worsen high blood pressure in survivors, who are at higher risk for cardiometabolic comorbidities.
Impact:
The study investigates substance use and cardiometabolic biomarkers, urging much research on their effects on cancer survivors.
Understanding and Preventing Advanced Gastric Cancer in Young Hispanic Patients
Authors: Buxbaum James L.
Published: January 2025

The risk of gastric cancer among immigrants from countries where Helicobacter pylori is endemic greatly exceeds those born in the United States. Among patients in the Los Angeles safety-net health system, the risk of advanced and fatal gastric cancer is higher in Hispanic versus non-Hispanic patients. There is an urgent need to define whether this reflects concomitant illnesses, such as metabolic disease, occupational exposures, or differential access to H. pylori eradication and endoscopic gastric cancer screening programs.

See related article by Klingbeil et al., p. 75
Examining Lung Cancer Screening Uptake in the United States: Recent Research and Limitations of Public-Use Data
Authors: Maki Kristin G. , Tan Naomi Q.P. , Volk Robert J. , Toumazis Iakovos
Published: January 2025

Eligibility criteria for lung cancer screening (LCS) were updated by the Centers for Medicare & Medicaid Services in 2022 following an updated recommendation from the United States Preventive Services Task Force. Recently, research has examined LCS use in the United States following this change, which centered on lowering the age to begin screening from 55 to 50 years and the smoking history threshold from 30 to 20 pack-years. These studies, including the accompanying article from Gudina and colleagues, have used the 2022 Behavioral Risk Factors Surveillance System data, which are publicly available and nationally representative. Although increases in LCS use have been reported in all studies, screening remains low compared with other population-level cancer screening programs, highlighting the need for interventions to improve LCS uptake and adherence. Data limitations from population-based surveys may affect the ability to accuracy track LCS rates. Additional, high-quality data are needed to further assess the uptake of—and adherence to—LCS following the updated eligibility criteria.

See related article by Gudina et al., p. 35
Figure S7 from Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy
Authors: Hou Yingqin , Zak Jaroslav , Shi Yujie , Pratumchai Isaraphorn , Dinner Brandon , Wang Wenjian , Qin Ke , Weber Evan W. , Teijaro John R. , Wu Peng
Published: January 2025

Figure S7 Phenotype and cytokine expression analysis of OT-I cells in LM-OVA infection model
Figure S6 from Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy
Authors: Hou Yingqin , Zak Jaroslav , Shi Yujie , Pratumchai Isaraphorn , Dinner Brandon , Wang Wenjian , Qin Ke , Weber Evan W. , Teijaro John R. , Wu Peng
Published: January 2025

Figure S6 EZH2 inhibition by tazemetostat during in vitro expansion enhanced in vivo response of OT-I cells upon LM-OVA infection and improved long-term survival of OT-I cells.
Figure S5 from Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy
Authors: Hou Yingqin , Zak Jaroslav , Shi Yujie , Pratumchai Isaraphorn , Dinner Brandon , Wang Wenjian , Qin Ke , Weber Evan W. , Teijaro John R. , Wu Peng
Published: January 2025

Figure S5 Transient inhibition of EZH2 with tazemetostat reduces exhaustion features of antigen specific CD8+ T cells.
Figure S2 from Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy
Authors: Hou Yingqin , Zak Jaroslav , Shi Yujie , Pratumchai Isaraphorn , Dinner Brandon , Wang Wenjian , Qin Ke , Weber Evan W. , Teijaro John R. , Wu Peng
Published: January 2025

Figure S2. Induction of EZH2 expression during human T cell stimulation.
Figure S11 from Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy
Authors: Hou Yingqin , Zak Jaroslav , Shi Yujie , Pratumchai Isaraphorn , Dinner Brandon , Wang Wenjian , Qin Ke , Weber Evan W. , Teijaro John R. , Wu Peng
Published: January 2025

Figure S11 Overlap of transcriptomic impact of Ezh2 deletion vs Taz treatment on CD8 T Cells.
Figure S1 from Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy
Authors: Hou Yingqin , Zak Jaroslav , Shi Yujie , Pratumchai Isaraphorn , Dinner Brandon , Wang Wenjian , Qin Ke , Weber Evan W. , Teijaro John R. , Wu Peng
Published: January 2025

Figure S1 Expression level of EZH2 in public datasets and Phenotypic analysis of effector and exhausted OT-I T cells. 
Figure 4 from Complement Factor H Is an ICOS Ligand Modulating Tregs in the Glioma Microenvironment
Authors: Smolag Karolina I. , Olszowka Jakub , Rosberg Rebecca , Johansson Elinn , Marinko Elisabet , Leandersson Karin , O’Connell David J. , Governa Valeria , Tuysuz Emre Can , Belting Mattias , Pietras Alexander , Martin Myriam , Blom Anna M.
Published: January 2025

FH knockdown is associated with a lower number of ICOS+ Tregs in a murine glioma model. FH expression was investigated in murine gliomas generated using the RCAS/tv-a vectors to induce expression of PDGFB (A and B) and shp53 (B). C, Schematic illustration of the mouse model. Increased survival (D), decrease in number of Olig2+ tumor cells (E), changes in infiltration of T cells (F–J), and macrophages (K) as well as number of astrocytes (L) and changes in proliferation of tumor cells (M) were investigated in GBM model with shRNA-induced FH knockdown. Vector targeting Gl2 was used as a control. Statistical analysis: logrank test (D), Student t test with Welch correction (E–G and J–M), Student t test paired (H). Data are means ± SD of n = 15 (D), n = 13 (E–H and J–M) mice. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001. CTRL, control; Gl2, firefly luciferase; RCAS/tv-a, replication-competent ASLV long terminal repeat with a tv-a splice acceptor. (C, Created with BioRender.com.)
Supplemental Figure 7. from Alternate MHC I Antigen Presentation Pathways Allow CD8+ T-cell Recognition and Killing of Cancer Cells in the Absence of β2M or TAP
Authors: Cruz Freidrich M. , Orellano Laura A. A. , Chan Amanda , Rock Kenneth L.
Published: January 2025

Supplemental Figure 7: Transfer of OT-I inhibits tumor growth in mice injected with β2m or Tap1-KO tumor cells.
Supplementary Table S3 from Gefitinib Reverses PD-L1–Mediated Immunosuppression Induced by Long-term Glutamine Blockade in Bladder Cancer
Authors: Ma Guofeng , Jia Huiqing , Li Zhiqiang , Zhang Xiangyan , Wang Liping , Zhang Zhilei , Xiao Yujing , Liang Zhijuan , Li Dan , Chen Yuanbin , Tian Xintao , Wang Yonghua , Liang Ye , Niu Haitao
Published: January 2025

The clinicopathological information of 81 patients, IHC H-scores of CAD, GFPT2 and OAT and staining results for GATA3 and FOXA1.
Supplemental Figure 3. from Alternate MHC I Antigen Presentation Pathways Allow CD8+ T-cell Recognition and Killing of Cancer Cells in the Absence of β2M or TAP
Authors: Cruz Freidrich M. , Orellano Laura A. A. , Chan Amanda , Rock Kenneth L.
Published: January 2025

Supplemental Figure 3: β2m KO DC2.4 cells can activate memory OT-I-Nur7GFP cells in the absence of serum.
Supplementary Fig. S7 from Gefitinib Reverses PD-L1–Mediated Immunosuppression Induced by Long-term Glutamine Blockade in Bladder Cancer
Authors: Ma Guofeng , Jia Huiqing , Li Zhiqiang , Zhang Xiangyan , Wang Liping , Zhang Zhilei , Xiao Yujing , Liang Zhijuan , Li Dan , Chen Yuanbin , Tian Xintao , Wang Yonghua , Liang Ye , Niu Haitao
Published: January 2025

Glutamine blockade combined with anti-PD-L1 antibody to synergistically reduce bladder cancer growth.
Supplementary Fig. S6 from Gefitinib Reverses PD-L1–Mediated Immunosuppression Induced by Long-term Glutamine Blockade in Bladder Cancer
Authors: Ma Guofeng , Jia Huiqing , Li Zhiqiang , Zhang Xiangyan , Wang Liping , Zhang Zhilei , Xiao Yujing , Liang Zhijuan , Li Dan , Chen Yuanbin , Tian Xintao , Wang Yonghua , Liang Ye , Niu Haitao
Published: January 2025

Glutamine blockade induces the up-regulation of PD-L1 in bladder cancer cells through the ROS-mediated EGFR/ERK/C-Jun signaling pathway.
Table S2 from A Phase I Trial of Trebananib, an Angiopoietin 1 and 2 Neutralizing Peptibody, Combined with Pembrolizumab in Patients with Advanced Ovarian and Colorectal Cancer
Authors: Huffman Brandon M. , Rahma Osama E. , Tyan Kevin , Li Yvonne Y. , Giobbie-Hurder Anita , Schlechter Benjamin L. , Bockorny Bruno , Manos Michael P. , Cherniack Andrew D. , Baginska Joanna , Mariño-Enríquez Adrián , Kao Katrina Z. , Maloney Anna K. , Ferro Allison , Kelland Sarah , Ng Kimmie , Singh Harshabad , Welsh Emma L. , Pfaff Kathleen L. , Giannakis Marios , Rodig Scott J. , Hodi F. Stephen , Cleary James M.
Published: January 2025

Table S2
Figure S3 from A Phase I Trial of Trebananib, an Angiopoietin 1 and 2 Neutralizing Peptibody, Combined with Pembrolizumab in Patients with Advanced Ovarian and Colorectal Cancer
Authors: Huffman Brandon M. , Rahma Osama E. , Tyan Kevin , Li Yvonne Y. , Giobbie-Hurder Anita , Schlechter Benjamin L. , Bockorny Bruno , Manos Michael P. , Cherniack Andrew D. , Baginska Joanna , Mariño-Enríquez Adrián , Kao Katrina Z. , Maloney Anna K. , Ferro Allison , Kelland Sarah , Ng Kimmie , Singh Harshabad , Welsh Emma L. , Pfaff Kathleen L. , Giannakis Marios , Rodig Scott J. , Hodi F. Stephen , Cleary James M.
Published: January 2025

Supplementary Figure S3: Tumor immune microenvironment of colorectal cancer cohort.
Table S1 from CD27-Armored BCMA CAR T-cell Therapy (CBG-002) for Relapsed and Refractory Multiple Myeloma: A Phase I Clinical Trial
Authors: Xu Yang , Zhang Xuzhao , Xin Dijia , Zhang Jiawei , Wang Luyao , Fan Yili , Chen Boxiao , Lei Wen , Qiu Xi , Jiang Huawei , Xiao Xibin , Huang Liansheng , Yu Jiandong , Yang Xin , Yang Wenjun , Zhu Jiangao , Qian Wenbin
Published: January 2025

Representativeness of Study Participants
Figure S4 from CD27-Armored BCMA CAR T-cell Therapy (CBG-002) for Relapsed and Refractory Multiple Myeloma: A Phase I Clinical Trial
Authors: Xu Yang , Zhang Xuzhao , Xin Dijia , Zhang Jiawei , Wang Luyao , Fan Yili , Chen Boxiao , Lei Wen , Qiu Xi , Jiang Huawei , Xiao Xibin , Huang Liansheng , Yu Jiandong , Yang Xin , Yang Wenjun , Zhu Jiangao , Qian Wenbin
Published: January 2025

A, the peak CAR copies were compared between non-responders and responders (Mann-Whitney; P=0.006). B, CAR copies detected by qPCR following infusion of CBG-002 in patient 1. d: day; m: month.
Figure S2 from CD27-Armored BCMA CAR T-cell Therapy (CBG-002) for Relapsed and Refractory Multiple Myeloma: A Phase I Clinical Trial
Authors: Xu Yang , Zhang Xuzhao , Xin Dijia , Zhang Jiawei , Wang Luyao , Fan Yili , Chen Boxiao , Lei Wen , Qiu Xi , Jiang Huawei , Xiao Xibin , Huang Liansheng , Yu Jiandong , Yang Xin , Yang Wenjun , Zhu Jiangao , Qian Wenbin
Published: January 2025

Trial profile.
Figure S6 from CD49a Targeting Enhances NK Cell Function and Antitumor Immunity
Authors: Zhang Yu , Li Yangyang , Zhang Zhengfeng , Zheng Xiaodong , Peng Hui , Tian Zhigang , Sun Rui , Sun Haoyu
Published: January 2025

Inducible CD49a knockout in NK cells prevents tumor growth and prolongs survival in experimental lung metastasis model.
Figure S2 from CD49a Targeting Enhances NK Cell Function and Antitumor Immunity
Authors: Zhang Yu , Li Yangyang , Zhang Zhengfeng , Zheng Xiaodong , Peng Hui , Tian Zhigang , Sun Rui , Sun Haoyu
Published: January 2025

Frequencies of immune cell subsets in WT versus CD49a-KO mice.
Supplementary Figure 3 from Preclinical Development of T Cells Engineered to Express a T-Cell Antigen Coupler Targeting Claudin 18.2–Positive Solid Tumors
Authors: Xu Stacey X. , Wang Ling , Ip Philbert , Randhawa Ritu R. , Benatar Tania , Prosser Suzanna L. , Lal Prabha , Khan Alima Naim , Nitya-Nootan Thanyashanthi , Thakor Gargi , MacGregor Heather , Hayes Danielle L , Vucicevic Andrea , Mathew Princy , Sengupta Sadhak , Helsen Christopher W. , Bader Andreas G.
Published: January 2025

Supplementary Figure 3: Head-to-head comparison of CLDN18.2-TAC T and CLDN18.2-CAR T cells in recursive killing assay.
Supplementary Figure 2 from Preclinical Development of T Cells Engineered to Express a T-Cell Antigen Coupler Targeting Claudin 18.2–Positive Solid Tumors
Authors: Xu Stacey X. , Wang Ling , Ip Philbert , Randhawa Ritu R. , Benatar Tania , Prosser Suzanna L. , Lal Prabha , Khan Alima Naim , Nitya-Nootan Thanyashanthi , Thakor Gargi , MacGregor Heather , Hayes Danielle L , Vucicevic Andrea , Mathew Princy , Sengupta Sadhak , Helsen Christopher W. , Bader Andreas G.
Published: January 2025

Supplementary Figure 2: TAC01-CLDN18.2 cytotoxicity against various solid tumor cells.
Table S1 from Level of Expression of MHCI-Presented Neoepitopes Influences Tumor Rejection by Neoantigen-Specific CD8+ T Cells
Authors: Deng Li , Walsh Scott R. , Nguyen Andrew , Inkol Jordon M. , Westerveld Michael J. , Chen Lan , El-Sayes Nader , Mossman Karen L. , Workenhe Samuel T. , Wan Yonghong
Published: January 2025

Information on DNA Sequences and Primers
Figure S2 from Level of Expression of MHCI-Presented Neoepitopes Influences Tumor Rejection by Neoantigen-Specific CD8+ T Cells
Authors: Deng Li , Walsh Scott R. , Nguyen Andrew , Inkol Jordon M. , Westerveld Michael J. , Chen Lan , El-Sayes Nader , Mossman Karen L. , Workenhe Samuel T. , Wan Yonghong
Published: January 2025

Tumor regression rescued with enhanced expression of neoantigen target peptide.
Data from Complement Factor H Is an ICOS Ligand Modulating Tregs in the Glioma Microenvironment
Authors: Smolag Karolina I. , Olszowka Jakub , Rosberg Rebecca , Johansson Elinn , Marinko Elisabet , Leandersson Karin , O’Connell David J. , Governa Valeria , Tuysuz Emre Can , Belting Mattias , Pietras Alexander , Martin Myriam , Blom Anna M.
Published: January 2025

Abstract
The survival rate of patients with glioma has not significantly increased in recent years despite aggressive treatment and advances in immunotherapy. The limited response to treatments is partially attributed to the immunosuppressive tumor microenvironment, in which regulatory T cells (Treg) play a pivotal role in immunologic tolerance. In this study, we investigated the impact of complement factor H (FH) on Tregs within the glioma microenvironment and found that FH is an ICOS ligand. The binding of FH to this immune checkpoint molecule promoted the survival and function of Tregs and induced the secretion of TGFβ and IL10 while suppressing T-cell proliferation. We further demonstrated that cancer cells in human and mouse gliomas directly produce FH. Database investigations revealed that upregulation of FH expression was associated with the presence of Tregs and correlated with worse prognosis for patients with glioma. We confirmed the effect of FH on glioma development in a mouse model, in which FH knockdown was associated with a decrease in the number of ICOS+ Tregs and demonstrated a tendency of prolonged survival (P = 0.064). Because the accumulation of Tregs represents a promising prognostic and therapeutic target, evaluating FH expression should be considered when assessing the effectiveness of and resistance to immunotherapies against glioma.