Evidence map›Paper›PMID 40736938›Full record

ReviewDiscover oncology2025

The complex role and molecular mechanism of family with sequence similarity genes in cancer: a comprehensive review.

Hongyang Deng, Xiaodong Xu, Youcheng Zhang, Yongfang Li

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Cells · 2026
    Article
  2. Article
  3. 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

4 authors.

Hongyang DengDepartment of General Surgery, Hepatic-Biliary-Pancreatic Institute, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
Xiaodong XuDepartment of General Surgery, Hepatic-Biliary-Pancreatic Institute, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
Youcheng ZhangDepartment of General Surgery, Hepatic-Biliary-Pancreatic Institute, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
Yongfang LiDepartment of Liver Disease, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China. liyf20@lzu.edu.cn.

Funding

Cuiying Technology Innovation Project of Lanzhou University Second Hospital CY2022-MS-B04, CY2022-QN-A15Doctoral Students Training Research Fund of Lanzhou University Second Hospital YJS-BD-32Gansu Province University Industrial Support Plan 2023CYZC-05Natural Science Foundation of Gansu Province 23JRRA0992
6 · The paper itself

Abstract

The family with sequence similarity (FAM) is a family of genes with unknown functions and similar sequences. However, recent studies have reported that many FAM members play important roles in the onset and progression of cancer. Specifically, the expression of this type of gene is abnormal in tissues and cells of different types of cancer and is related to the prognosis of cancer patients. In addition, their expression regulates the proliferation, migration, invasion, epithelial-mesenchymal transition (EMT), and drug resistance of different types of cancer cells. Some members even show dual and contradictory effects in tumor-promoting or suppressing cancer. In this review, we summarized the role of FAM members in various solid tumors and sorted out the regulatory mechanism of FAM involved in tumor signal transduction, confirming their role as an important node in tumor signal transduction. Their potential as tumor markers and therapeutic targets was highlighted, offering new insights for cancer research.

Indexed as

CancerEMTFAM83Family with sequence similaritySignaling pathwaysTumor markers

Identifiers

PMID40736938
PMCPMC12311104

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.