Evidence map›Paper›PMID 37598287›Full record

ArticleNPJ precision oncology2023

Molecular disparities in colorectal cancers of White Americans, Alabama African Americans, and Oklahoma American Indians.

Hiroshi Y Yamada, Chao Xu, Kenneth L Jones, Philip H O'Neill, Madka Venkateshwar, Srikanth Chiliveru, Hyung-Gyoon Kim, Mark Doescher, Katherine T Morris, Upender Manne and 1 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
4 · The record

Corrections and comments

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

11 authors.

Hiroshi Y YamadaDepartment of Internal Medicine, Hematology/Oncology Section, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA. Hiroshi-Yamada@ouhsc.edu.ORCID http://orcid.org/0000-0002-0536-5581
Chao XuDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.ORCID http://orcid.org/0000-0002-3821-6187
Kenneth L JonesDepartment of Cell Biology, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.
Philip H O'NeillHarold Hamm Diabetes Center, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.
Madka VenkateshwarDepartment of Internal Medicine, Hematology/Oncology Section, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.
Srikanth ChiliveruDepartment of Internal Medicine, Hematology/Oncology Section, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.
Hyung-Gyoon KimDepartment of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Mark DoescherCommunity Outreach and Engagement, Stephenson Cancer Center, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.
Katherine T MorrisDepartment of Surgery, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.
Upender ManneDepartment of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA. upendermanne@uabmc.edu.
Chinthalapally V RaoDepartment of Internal Medicine, Hematology/Oncology Section, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA. CV-Rao@ouhsc.edu.ORCID http://orcid.org/0000-0002-5715-7979

Funding

Proteomics CoreP20GM103447 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI David W Dyer · 2012 to 2026
$60.2M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
TRAINING AND CAREER DEVELOPMENTU54CA118948 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI UPENDER MANNE, Erica Michelle Stringer-Reasor · 2005 to 2026
$26.6M
TUMOR RESISTANCE MECHANISMS TO ANTI-VEGF THERAPY IN PROSTATE CANCER (Sukyung Woo)P20GM103639 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI DHANASEKARAN, DANNY N. · 2012 to 2022
$21.3M
Safer Approaches to CRC ChemopreventionR01CA213987 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI RAO, CHINTHALAPALLY V. · 2017 to 2021
$2.4M
NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA213987NCI NIH HHS U54 CA118948NIGMS NIH HHS P20 GM103447NIGMS NIH HHS P20 GM103639
6 · The paper itself

Abstract

In the US, the majority of cancer samples analyzed are from white people, leading to biases in racial and ethnic treatment outcomes. Colorectal cancer (CRC) incidence and mortality rates are high in Alabama African Americans (AAs) and Oklahoma American Indians (AIs). We hypothesized that differences between racial groups may partially explain these disparities. Thus, we compared transcriptomic profiles of CRCs of Alabama AAs, Oklahoma AIs, and white people from both states. Compared to CRCs of white people, CRCs of AAs showed (a) higher expression of cytokines and vesicle trafficking toward modulated antitumor-immune activity, and (b) lower expression of the ID1/BMP/SMAD axis, IL22RA1, APOBEC3, and Mucins; and AIs had (c) higher expression of PTGS2/COX2 (an NSAID target/pro-oncogenic inflammation) and splicing regulators, and (d) lower tumor suppressor activities (e.g., TOB2, PCGF2, BAP1). Therefore, targeting strategies designed for white CRC patients may be less effective for AAs/AIs. These findings illustrate needs to develop optimized interventions to overcome racial CRC disparities.

Identifiers

PMID37598287
PMCPMC10439889

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.