Evidence map›Paper›PMID 33447080›Full record

ArticleCancer management and research2020

Progastrin-Releasing Peptide Precursor and Neuron-Specific Enolase Predict the Efficacy of First-Line Treatment with Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase Inhibitors Among Non-Small-Cell Lung Cancer Patients Harboring EGFR Mutations.

Juanjuan Dong, Sihao Tong, Xianfeng Shi, Chao Wang, Xin Xiao, Wenping Ji, Yimian Sun

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. BeyondMolecular therapy oncolytics · 2023
    Review
  8. Observational
  9. Article
  10. Review
  11. 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

7 authors at 2 institutions in 1 country.

Juanjuan DongDepartment of Oncology, Anhui Medical University-Affiliated Chaohu Hospital, Hefei 238000, Anhui, People's Republic of China.ORCID 0000-0002-7757-0218
Sihao TongDepartment of Oncology, Anhui Medical University-Affiliated Chaohu Hospital, Hefei 238000, Anhui, People's Republic of China.
Xianfeng ShiDepartment of Oncology, Anhui Medical University-Affiliated Chaohu Hospital, Hefei 238000, Anhui, People's Republic of China.
Chao WangDepartment of Oncology, Anhui Medical University-Affiliated Chaohu Hospital, Hefei 238000, Anhui, People's Republic of China.
Xin XiaoDepartment of Oncology, Anhui Medical University-Affiliated Chaohu Hospital, Hefei 238000, Anhui, People's Republic of China.
Wenping JiDepartment of Education, Anhui Medical University-Affiliated Chaohu Hospital, Hefei 238000, Anhui, People's Republic of China.
Yimian SunDepartment of Gynecology and Obstetrics, Huaian City Second People's Hospital, Huaian 223000, Jiangsu, People's Republic of China.
Chaohu Hospital of Anhui Medical University · CNHuaian First People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLung cancer is the leading cause of cancer-related mortality and non-small-cell lung cancer (NSCLC) accounts for 80-90% of all lung cancers. However, biomarkers to predict the prognosis of NSCLC patients upon treatment with tyrosine kinase inhibitors remain unreliable. Different types of EGFR mutations can help predict the efficacy of tyrosine kinase inhibitor (TKI) treatment among advanced NSCLC patients harboring them. However, survival varies among individuals harboring the same mutation after targeted therapy. This study aimed to investigate the value of serum tumor markers (STMs) and EGFR mutations in the prognostic assessment of progression-free survival (PFS) in advanced-stage EGFR-mutated NSCLC. PATIENTS AND

methodsA retrospective clinical review was performed on 81 NSCLC patients harboring EGFR mutations and for whom STM data, measured before commencement of first-line treatment with tyrosine kinase inhibitors, were available. Associations among EGFR mutations, STMs, baseline clinical features, and PFS were analyzed. Kaplan-Meier method was used to plot survival curves, and Cox logistic regression models were used to identify independent prognostic factors.

resultsExon 19 deletion (19-del) in EGFR, negative neuron-specific enolase (NSE), negative pro-gastrin-releasing peptide precursor (ProGRP) value, and "never smoking" status were significantly associated with improved PFS (P=0.007, P=0.001, P<0.001, and P<0.001, respectively). Multivariate Cox analysis revealed that 19-del in EGFR, never smoking, negative ProGRP value, and negative NSE were independent predictors of PFS.

conclusionThis study demonstrated that 19-del in EGFR may predict longer PFS in advanced-stage EGFR-mutated NSCLC treated with TKIs. Additionally, longer PFS can be predicted by serum tumor markers with negative ProGRP value, negative NSE value before initial treatment, and "never smoking." Therefore, in addition to the EGFR mutation type and smoking status, physicians can also prognosticate the PFS of tyrosine kinase inhibitors treatment according to the values of ProGRP and NSE before treatment.

Indexed as

non-small-cell lung cancerprognosisprogression-free survivalserum tumor markers

Identifiers

PMID33447080
PMCPMC7802014
OpenAlexW3119054336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.