Evidence map›Paper›PMID 35239955›Full record

ArticleCarcinogenesis2022

Global DNA methylation of WTC prostate cancer tissues show signature differences compared to non-exposed cases.

Haocheng Yu, Stephanie Tuminello, Naomi Alpert, Maaike van Gerwen, Seungyeul Yoo, David J Mulholland, Stuart A Aaronson, Michael Donovan, William K Oh, Yixuan Gong and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Carcinogenesis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

13 authors at 3 institutions in 1 country.

Haocheng YuSema4, a Mount Sinai venture, Stamford, CT, USA.
Stephanie TuminelloInstitute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-5734-4806
Naomi AlpertInstitute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-3625-9693
Maaike van GerwenInstitute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Seungyeul YooSema4, a Mount Sinai venture, Stamford, CT, USA.
David J MulhollandDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stuart A AaronsonDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michael DonovanDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
William K OhDivision of Hematology and Medical Oncology, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yixuan GongDivision of Hematology and Medical Oncology, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Li WangSema4, a Mount Sinai venture, Stamford, CT, USA.
Jun ZhuSema4, a Mount Sinai venture, Stamford, CT, USA.ORCID 0000-0003-0834-8178
Emanuela TaioliInstitute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USSema4 (United States) · USNYU Langone Health · US

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
Impact of WTC dust on immune functions and prostate cancer promotionU01OH011328 · OH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AARONSON, STUART A · 2016 to 2020
$3.0M
NCI NIH HHS P30 CA196521NIOSH CDC HHS U01 OH010396NIOSH CDC HHS U01 OH011328NIOSH CDC HHS U01 OH011704
6 · The paper itself

Abstract

There is increased incidence of prostate cancer (PC) among World Trade Center (WTC)-exposed responders and community members, with preliminary evidence suggestive of more aggressive disease. While previous research is supportive of differences in DNA methylation and gene expression as a consequence of WTC exposure, as measured in blood of healthy individuals, the epigenetics of WTC PC tissues has yet to be explored. Patients were recruited from the World Trade Center Health Program. Non-WTC PC samples were frequency matched on age, race/ethnicity and Gleason score. Bisulfite-treated DNA was extracted from tumor tissue blocks and used to assess global DNA methylation with the MethylationEPIC BeadChip. Differential and pathway enrichment analyses were conducted. RNA from the same tumor blocks was used for gene expression analysis to further support DNA methylation findings. Methylation data were generated for 28 samples (13 WTC and 15 non-WTC). Statistically significant differences in methylation were observed for 3,586 genes; on average WTC samples were statistically significantly more hypermethylated (P = 0.04131). Pathway enrichment analysis revealed hypermethylation in epithelial mesenchymal transition (EMT), hypoxia, mitotic spindle, TNFA signaling via NFKB, WNT signaling, and TGF beta signaling pathways in WTC compared to non-WTC samples. The androgen response, G2M and MYC target pathways were hypomethylated. These results correlated well with RNA gene expression. In conclusion, long-term epigenic changes associated with WTC dust exposure were observed in PC tissues. These occurred in genes of critical pathways, likely increasing prostate tumorigenesis potential. This warrants analysis of larger WTC groups and other cancer types.

Indexed as

Prostatic NeoplasmsSeptember 11 Terrorist AttacksDNA MethylationDustHumansMaleRNADustRNA

Identifiers

PMID35239955
PMCPMC9234756
OpenAlexW4214826445

What OpenQuestion holds

Textmetadata
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.