Evidence map›Paper›PMID 41481426›Full record

ArticleFEBS open bio2026

FGFR Like1 drives esophageal cancer progression via EMT, PI3K/Akt, and notch signalling: insights from clinical data and next-generation sequencing analysis.

Aprajita Srivastava, Anoop Saraya, Deepak Gunjan, Rinu Sharma

Abstract read
In one paragraph

Article in FEBS open bio, 2026. 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. 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.

Aprajita SrivastavaUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, New Delhi, India.
Anoop SarayaDepartment of Gastroenterology, All India Institute of Medical Science, New Delhi, India.
Deepak GunjanDepartment of Gastroenterology, All India Institute of Medical Science, New Delhi, India.
Rinu SharmaUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, New Delhi, India.ORCID https://orcid.org/0000-0003-4138-9473

Funding

Department of Science and Technology, Ministry of Science and Technology, India (SERB-DST) CRG/2022/003194Guru Gobind Singh Indraprastha University GGSIPU/DRC/FRGS /2022/1223/17
6 · The paper itself

Abstract

FGFRL1, one of the least explored FGFRs, has recently been shown to have implications in cancer, but its functional significance in esophageal cancer (EC) remains largely unexplored. We evaluated FGFRL1 expression in EC patients (n = 106) using immunohistochemistry, observing a significant increase in preneoplastic and neoplastic tissues (P < 0.001, OR = 73.2; AUC = 0.817). RNAi-coupled next-generation sequencing revealed enrichment of EMT, PI3K/Akt, and Notch pathways. Quantitative RT-PCR validated the downregulation of top cluster and Notch pathway genes (P < 0.05). Western blot showed decreased phospho-GSK3β, phospho-Akt, and mesenchymal markers. TCGA data supported a positive correlation with EMT. Functional assays demonstrated FGFRL1's oncogenic role, showing G1 phase arrest, and reduced proliferation, migration, and invasion (P < 0.001). Our study highlights FGFRL1 as a key driver of EC progression.

Indexed as

Esophageal NeoplasmsCell Line, TumorCell MovementCell ProliferationDisease ProgressionEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktReceptors, NotchSignal TransductionPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktReceptors, NotchclonogenicEMTesophageal cancerFGFRinvasionsignalling

Identifiers

PMID41481426
PMCPMC13145353

What OpenQuestion holds

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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.