Evidence map›Paper›PMID 38260835›Full record

ArticleFrontiers in oncology2023

Characterizing the secretome of EGFR mutant lung adenocarcinoma.

Jennifer K Luu, Fraser D Johnson, Jana Jajarmi, Tianna Sihota, Rocky Shi, Daniel Lu, Dylan Farnsworth, Sandra E Spencer, Gian Luca Negri, Gregg B Morin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
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

11 authors at 2 institutions in 1 country.

Jennifer K LuuDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
Fraser D JohnsonDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
Jana JajarmiDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
Tianna SihotaDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
Rocky ShiDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
Daniel LuDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
Dylan FarnsworthDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
Sandra E SpencerMichael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada.
Gian Luca NegriMichael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada.
Gregg B MorinMichael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada.
William W LockwoodDepartment of Integrative Oncology, British Columbia (BC), Cancer Research Institute, Vancouver, BC, Canada.
University of British Columbia · CACanada's Michael Smith Genome Sciences Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer is the leading cause of cancer related death worldwide, mainly due to the late stage of disease at the time of diagnosis. Non-invasive biomarkers are needed to supplement existing screening methods to enable earlier detection and increased patient survival. This is critical to Methods: In this study, we performed mass spectrometry analysis of the secretome of cultured lung cells representing different stages of mutant Results: We quantified 1020 secreted proteins, which were compared for differential expression between stages of transformation. We validated differentially expressed proteins at the transcriptional level in clinical tumor specimens, association with patient survival, and absolute concentration to yield three biomarker candidates: MDK, GDF15, and SPINT2. These candidates were validated using ELISA and increased levels were associated with poor patient survival specifically in EGFR mutant lung adenocarcinoma patients. Conclusions: Our study provides insight into changes in secreted proteins during

Indexed as

early detectionEGFRlung cancersecretometransformation

Identifiers

PMID38260835
PMCPMC10801028
OpenAlexW4390666184

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.