Article in JCO precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
12 authors.
Sejal JainUniversity of South Florida, USF Health Morsani College of Medicine, Tampa, FL.ORCID 0009-0005-5234-6876
Xuechun BaiComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0009-0001-3868-2786
Samyukta MallickDepartment of Pathology and Cell Biology at the Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY.ORCID 0000-0003-1615-6782
Branden KinghornDepartment of Oncological Sciences, Huntsman Cancer Institute, Salt Lake City, UT.
Benjamin MayHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY.
Diane Allen-GipsonDepartment of Pharmaceutical Sciences, University of South Florida, USF Health Taneja College of Pharmacy, Tampa, FL.ORCID 0000-0001-6976-3960
Xiaoyang ZhangDepartment of Oncological Sciences, Huntsman Cancer Institute, Salt Lake City, UT.
Brian S HenickHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY.ORCID 0000-0003-2681-0805
Fatemeh Momen-HeraviHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY.ORCID 0000-0003-4534-1450
Jian Carrot-ZhangComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Alison M TaylorDepartment of Pathology and Cell Biology at the Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY.ORCID 0000-0001-9341-535X
Funding
X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Immune and transcriptomic biomarkers of progressive oral premalignant lesionsU01DE033351 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Fatemeh Momen Heravi · 2023 to 2026
$3.1M
Elucidating the Consequences of Chromosome 3 Arm Aneuploidies in Squamous Cell CarcinomaR01CA273723 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Alison M. Taylor · 2023 to 2026
$1.5M
Identifying Molecular Subtypes of Head and Neck Cancer in Patients with African AncestryR21DE031112 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOMEN HERAVI, FATEMEH, TAYLOR, ALISON M. · 2021 to 2022
$565k
Genomics of Renal Cancer in Patients of African AncestryR21CA280577 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI TAYLOR, ALISON M., ZHANG, JIAN · 2023 to 2024
purposeIn lung squamous cell carcinoma (LUSC), Black patients show significantly higher incidence and lower overall survival than White patients. Although socioeconomic factors likely contribute to this survival disparity, genomic factors have yet to be elucidated in LUSC.
methodsUsing 416 LUSC tumor samples in the Cancer Genome Atlas (TCGA), we assessed genomic and transcriptomic profiles by ancestry. We replicated our analyses in pan-cancer data from TCGA, the American Association of Cancer Research (AACR) Genomics Evidence Neoplasia Information Exchange (GENIE), and Columbia University Medical Center.
resultsWe found increased
conclusionTogether, our data suggest that ancestry may influence amplification of not only
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.