Evidence map›Paper›PMID 26892864›Full record

ArticleCancer science2016

SERPINI1 regulates epithelial-mesenchymal transition in an orthotopic implantation model of colorectal cancer.

Yasufumi Matsuda, Koh Miura, Junko Yamane, Hiroshi Shima, Wataru Fujibuchi, Kazuyuki Ishida, Fumiyoshi Fujishima, Shinobu Ohnuma, Hiroyuki Sasaki, Munenori Nagao and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  16. Neuroserpin: structure, function, physiology and pathology.Cellular and molecular life sciences : CMLS · 2021
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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

14 authors at 5 institutions in 1 country.

Yasufumi MatsudaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Koh MiuraDepartment of Surgery, Miyagi Cancer Center, Natori, Japan.
Junko YamaneCenter for iPS Cell Research and Application, Kyoto University, Kyoto, Japan.
Hiroshi ShimaDivision of Cancer Chemotherapy, Miyagi Cancer Center Research Institute, Natori, Japan.
Wataru FujibuchiCenter for iPS Cell Research and Application, Kyoto University, Kyoto, Japan.
Kazuyuki IshidaDepartment of Molecular Diagnostic Pathology, Iwate Medical University School of Medicine, Morioka, Japan.
Fumiyoshi FujishimaDepartment of Pathology, Tohoku University Hospital, Sendai, Japan.
Shinobu OhnumaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hiroyuki SasakiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Munenori NagaoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Naoki TanakaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kennichi SatohDivision of Cancer Stem Cell, Miyagi Cancer Center Research Institute, Natori, Japan.
Takeshi NaitohDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Michiaki UnnoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tohoku University · JPMiyagi Prefectural Hospital Organization · JPKyoto University · JPIwate Medical University · JPTohoku University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasingly accepted concept is that the progression of colorectal cancer is accompanied by epithelial-mesenchymal transition (EMT). In our study, in order to characterize the properties of EMT in 16 colorectal cancer cell lines, the cells were first orthotopically implanted into nude mice, and the tumors in vivo, as well as cells cultured in vitro, were immunostained for EMT markers. The immunostaining revealed that seven of the cells had an epithelial phenotype with a high expression of E-cadherin, whereas other cells showed opposite patterns, such as a high expression of vimentin (CX-1, COLO205, CloneA, HCT116, and SW48). Among the cells expressing vimentin, some expressed vimentin in the orthotopic tumors but not in the cultured cells (SW480, SW620, and COLO320). We evaluated these findings in combination with microarray analyses, and selected five genes: CHST11, SERPINI1, AGR2, FBP1, and FOXA1. Next, we downregulated the expression of SERPINI1 with siRNA in the cells, the results of which showed reverse-EMT changes at the protein level and in the cellular morphology. Along with immunohistochemical analyses, we confirmed the effect of the intracellular and secreted SERPINI1 protein of SW620 cells, which supported the importance of SERPINI1 in EMT. The development of therapeutic strategies targeting EMT is ongoing, including methods targeting the transforming growth factor-β signaling pathway as well as the Wnt pathway. SERPINI1 is an important regulator of EMT. Our findings help to elucidate the signaling pathways of EMT, hopefully clarifying therapeutic pathways as well.

Indexed as

Epithelial-Mesenchymal TransitionModels, BiologicalNeoplasm TransplantationAnimalsCadherinsCell Line, TumorColorectal NeoplasmsDisease ProgressionGene Knockdown TechniquesHumansImmunohistochemistryMaleMiceNeuropeptidesNeuroserpinOligonucleotide Array Sequence AnalysisCadherinsCHST11 protein, humanNeuropeptidesNeuroserpinSerpinsSulfotransferasesVimentinColorectal cancerepithelial-mesenchymal transitionmicroarray analysisorthotopic implantation mouse modelSERPINI1

Identifiers

PMID26892864
PMCPMC4970828
OpenAlexW2282635528

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.