Evidence map›Paper›PMID 39411203›Full record

ArticleOncology letters2024

Transcriptomic analysis reveals

Hong Duc Thi Nguyen, Tan Minh Le, Da-Ryung Jung, Youngjae Jo, Yeseul Choi, Donghyeon Lee, Olive Em Lee, Junghwan Cho, Nora Jee-Young Park, Incheol Seo and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology letters, 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Frontiers in veterinary science · 2025
    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.

Hong Duc Thi NguyenDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Tan Minh LeDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Da-Ryung JungDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Youngjae JoDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Yeseul ChoiDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Donghyeon LeeDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Olive Em LeeDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Junghwan ChoClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Nora Jee-Young ParkClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Incheol SeoDepartment of Immunology, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea.
Gun Oh ChongClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Jae-Ho ShinDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Hyung Soo HanDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical adenocarcinoma (AC), a subtype of uterine cervical cancer (CC), poses a challenge due to its resistance to therapy and poor prognosis compared with squamous cervical carcinoma.

Indexed as

cervical adenocarcinomadrug repurposingsignaling pathwayStreptococcus agalactiaetranscriptomic time-series analysis

Identifiers

PMID39411203
PMCPMC11474141

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.