Evidence map›Paper›PMID 31057298›Full record

ArticleWorld journal of gastroenterology2019

Predictive and prognostic implications of 4E-BP1, Beclin-1, and LC3 for cetuximab treatment combined with chemotherapy in advanced colorectal cancer with wild-type KRAS: Analysis from real-world data.

Gui-Fang Guo, Yi-Xing Wang, Yi-Jun Zhang, Xiu-Xing Chen, Jia-Bin Lu, Hao-Hua Wang, Chang Jiang, Hui-Quan Qiu, Liang-Ping Xia

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
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  4. High expression of autophagy-related geneWorld journal of clinical cases · 2023
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  6. International journal of molecular sciences · 2022
    Article
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  8. Review
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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

9 authors at 1 institution in 1 country.

Gui-Fang GuoVIP Department, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Yi-Xing WangVIP Department, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Yi-Jun ZhangState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Xiu-Xing ChenVIP Department, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Jia-Bin LuState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Hao-Hua WangVIP Department, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Chang JiangVIP Department, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Hui-Quan QiuVIP Department, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Liang-Ping XiaVIP Department, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is one of the main causes of cancer-related deaths in China and around the world. Advanced CRC (ACRC) patients suffer from a low cure rate though treated with targeted therapies. The response rate is about 50% to chemotherapy and cetuximab, a monoclonal antibody targeting epidermal growth factor receptor (EGFR) and used for ACRC with wild-type KRAS. It is important to identify more predictors of cetuximab efficacy to further improve precise treatment. Autophagy, showing a key role in the cancer progression, is influenced by the EGFR pathway. Whether autophagy can predict cetuximab efficacy in ACRC is an interesting topic.

aimTo investigate the effect of autophagy on the efficacy of cetuximab in colon cancer cells and ACRC patients with wild-type KRAS.

methodsACRC patients treated with cetuximab plus chemotherapy, with detailed data and tumor tissue, at Sun Yat-sen University Cancer Center from January 1, 2005, to October 1, 2015, were studied. Expression of autophagy-related proteins [Beclin1, microtubule-associated protein 1A/B-light chain 3 (LC3), and 4E-binding protein 1 (4E-BP1)] was examined by Western blot in CRC cells and by immunohistochemistry in cancerous and normal tissues. The effect of autophagy on cetuximab-treated cancer cells was confirmed by MTT assay. The associations between Beclin1, LC3, and 4E-BP1 expression in tumor tissue and the efficacy of cetuximab-based therapy were analyzed.

resultsIn CACO-2 cells exposed to cetuximab, LC3 and 4E-BP1 were upregulated, and P62 was downregulated. Autophagosome formation was observed, and autophagy increased the efficacy of cetuximab. In 68 ACRC patients, immunohistochemistry showed that Beclin1 levels were significantly correlated with those of LC3 (0.657,

conclusionThe effect of cetuximab on colon cancer cells might be improved by autophagy. LC3 is overexpressed in tumor tissues, and Beclin1 and 4E-BP1 could be significant predictors of OS in ACRC patients treated with cetuximab.

Indexed as

AutophagyAdaptor Proteins, Signal TransducingAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBeclin-1Biomarkers, TumorCell Cycle ProteinsCetuximabColorectal NeoplasmsDown-RegulationDrug Resistance, NeoplasmErbB ReceptorsFemaleHumansMaleAdaptor Proteins, Signal TransducingBeclin-1BECN1 protein, humanBiomarkers, TumorCell Cycle ProteinsCetuximabEGFR protein, humanEIF4EBP1 protein, humanErbB ReceptorsKRAS protein, humanMAP1LC3A protein, humanMicrotubule-Associated ProteinsPhosphoproteinsProto-Oncogene Proteins p21(ras)4E-binding protein 1Advanced colorectal cancerBeclin-1Cetuximab efficacyMicrotubule-associated protein 1A/B-light chain 3Prognosis

Identifiers

PMID31057298
PMCPMC6478617
OpenAlexW2938989911

What OpenQuestion holds

Textmetadata
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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.