Evidence map›Paper›PMID 29630522›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Elevated MACC1 expression predicts poor prognosis in small invasive lung adenocarcinoma.

Tao Guo, Shilei Zhao, Zhuoshi Li, Fengzhou Li, Jinxiu Li, Chundong Gu

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Prognostic risk stratification value of MACC1 expression in patients with gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Observational
  7. 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

6 authors at 2 institutions in 1 country.

Tao GuoDepartment of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China.
Shilei ZhaoDepartment of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China.
Zhuoshi LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China.
Fengzhou LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China.
Jinxiu LiLung Cancer Diagnosis and Treatment Center of Dalian, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China.
Chundong GuDepartment of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China.
First Affiliated Hospital of Dalian Medical University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with small (⩽ 2 cm) invasive lung adenocarcinoma are at high risk of poor prognosis and disease recurrence after complete surgical resection. Therefore, identification of high-risk individuals from these patients emerges as an urgent problem. Elevated MACC1 expression predicts a poor prognosis in multiple types of cancer that are independent of TNM staging. This study investigated the prognostic value of MACC1 expression in patients with small invasive lung adenocarcinoma.

objectiveThe current study aimed to evaluate the relationship between MACC1 expression in patients' tumor tissue and prognosis in small invasive lung adenocarcinoma.

methodsThe records of 131 patients with small invasive lung adenocarcinoma who underwent complete surgical resection were reviewed. The MACC1 expression was detected by immunohistochemical staining in all specimens. Meanwhile, western blot and real-time quantitative PCR were used to examine the expression level of MACC1 in human lung adenocarcinoma cell lines. The effect of clinicopathological risk factors on patients' survival was analyzed using the Kaplan-Meier approach and multivariable Cox models.

resultsElevated MACC1 expression was observed in 53 (40.5%) specimens, and in A549, H358, H460 and H322 lung adenocarcinoma cell lines. MACC1 overexpression was associated with differentiation (P= 0.005) and blood vessel invasion (P= 0.001). Compared with low MACC1 expression, elevated MACC1 expression was associated with significantly shorter overall survival (odds ratio = 6.515; 95% confidence interval: 1.382-30.721; P= 0.018) and disease-free survival (odds ratio = 3.270; 95% confidence interval: 1.117-9.569; P= 0.031). Multivariate analyses demonstrated high MACC1 expression is an independent risk factor of worse overall survival (odds ratio = 5.684; 95% confidence interval: 1.145-28.210; P= 0.034) and disease-free survival (odds ratio = 4.667; 95% confidence interval: 1.372-15.877; P= 0.014).

conclusionMACC1 is an independent prognostic marker in patients with small invasive lung adenocarcinoma after complete surgical resection. Differential outcomes are associated with MACC1 expression level.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticAdenocarcinomaAdenocarcinoma of LungAgedAged, 80 and overCell Line, TumorFemaleHumansImmunohistochemistryKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm GradingNeoplasm InvasivenessBiomarkers, TumorMACC1 protein, humanTrans-ActivatorsTranscription Factorslung adenocarcinomaMACC1prognosis

Identifiers

PMID29630522
PMCPMC13078428
OpenAlexW2796046208

What OpenQuestion holds

Textmetadata
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.