Evidence map›Paper›PMID 36248982›Full record

ArticleFrontiers in oncology2022

Genomic landscape of lung adenocarcinomas in different races.

Huashan Shi, Karan Seegobin, Fei Heng, Kexun Zhou, Ruqin Chen, Hong Qin, Rami Manochakian, Yujie Zhao, Yanyan Lou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
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

32 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  4. Current oncology (Toronto, Ont.) · 2026
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  14. The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 2025
    Review
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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

9 authors at 2 institutions in 1 country.

Huashan ShiDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.
Karan SeegobinDepartment of Hematology and Oncology, Mayo Clinic, Jacksonville, FL, United States.
Fei HengDepartment of Mathematics and Statistics, University of North Florida, Jacksonville, FL, United States.
Kexun ZhouDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.
Ruqin ChenDepartment of Hematology and Oncology, Mayo Clinic, Jacksonville, FL, United States.
Hong QinDepartment of Hematology and Oncology, Mayo Clinic, Jacksonville, FL, United States.
Rami ManochakianDepartment of Hematology and Oncology, Mayo Clinic, Jacksonville, FL, United States.
Yujie ZhaoDepartment of Hematology and Oncology, Mayo Clinic, Jacksonville, FL, United States.
Yanyan LouDepartment of Hematology and Oncology, Mayo Clinic, Jacksonville, FL, United States.
Mayo Clinic in Florida · USUniversity of North Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma is a molecularly heterogeneous disease. Several studies, including The Cancer Genome Atlas Research Network (TCGA) and Lung Cancer Mutation Consortium (LCMC), explored the genetic alterations among different ethnic groups. However, minority groups are often under-represented in these relevant studies and the genomic alterations among racial groups are not fully understood. Methods: We analyze genomic characteristics among racial groups to understand the diversities and their impact on clinical outcomes. Results: Native Americans had significantly higher rates of insertions and deletions than other races (P<0.001). Among patients with lung adenocarcinomas, EGFR and KRAS were the highest discrepancy genes in the different racial groups (P<0.001). The EGFR exon 21 L858R point mutation was three times higher in Asians than in all other races (P<0.001). Asians, Whites, and Blacks had 4.7%, 3.1%, and 1.8% ALK rearrangement, respectively (P<0.001). White patients had the highest rates of reported KRAS G12C (15.51%) than other races (P<0.001). Whites (17.2%), Blacks (15.1%), and Other (15.7%) had higher rates of STK11 mutation than Asians (3.94%) (P<0.001). RET rearrangement and ERBB2 amplification were more common in Asian patients than in Other racial groups. Apart from point mutations, structural variations, and fusion genes, we identified a significant amount of copy number alterations in each race. Conclusions: The tumor genomic landscape is significantly distinct in different races. This data would shed light on the understanding of molecular alterations and their impacts on clinical management in different lung cancer patients.

Indexed as

disparitiesgenomiclung adenocarcinomasracestarget therapy

Identifiers

PMID36248982
PMCPMC9557241
OpenAlexW4297329383

What OpenQuestion holds

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LicenceCC BY
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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.