Evidence map›Paper›PMID 29700901›Full record

ArticleCancer science2018

Individualized predictive signatures for 5-fluorouracil-based chemotherapy in right- and left-sided colon cancer.

Kai Song, Wenyuan Zhao, Wen Wang, Na Zhang, Kai Wang, Zhiqiang Chang

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  4. Synergistic effects ofJournal of Cancer · 2022
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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

6 authors at 1 institution in 1 country.

Kai SongDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wenyuan ZhaoDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID http://orcid.org/0000-0002-6477-9434
Wen WangDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Na ZhangDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Kai WangDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zhiqiang ChangDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

5-Fluorouracil (5-FU)-based adjuvant chemotherapy (ACT) is widely used for the treatment of colon cancer. Colon cancers with different primary tumor locations are clinically and molecularly distinct, implied through their response to 5-FU-based ACT. In this work, using 69 and 133 samples of patients with stage II-III right-sided and left-sided colon cancer (RCC and LCC) treated with post-surgery 5-FU-based ACT, we preselected gene pairs whose relative expression orderings were significantly correlated with the disease-free survival of patients by univariate Cox proportional hazards model. Then, from the identified prognostic-related gene pairs, a forward-stepwise selection algorithm was formulated to search for an optimal subset of gene pairs that resulted in the highest concordance index, referred to as the gene pair signature (GPS). We identified prognostic signatures, 3-GPS and 5-GPS, for predicting response to 5-FU-based ACT of patients with RCC and LCC, respectively, which were validated in independent datasets of GSE14333 and GSE72970. With the aid of the signatures, the transcriptional and genomic characteristics between the predicted responders and non-responders were explored. Notably, both in RCC and LCC, the predicted responders to 5-FU-based ACT were characterized by hypermutation, whereas the predicted non-responders were characterized by frequent copy number alternations. Finally, in comparison with the established relative expression ordering-based signature, which was developed without considering the differences between RCC and LCC, the newly proposed signatures had a better predictive performance. In conclusion, 3-GPS or 5-GPS can robustly predict response to 5-FU-based ACT for patients with RCC or LCC, respectively, in an individual level.

Indexed as

Gene Expression Regulation, NeoplasticAntineoplastic Combined Chemotherapy ProtocolsChemotherapy, AdjuvantColonColonic NeoplasmsFluorouracilGene Expression ProfilingHumansKaplan-Meier EstimateNeoplasm StagingOutcome Assessment, Health CarePrecision MedicinePrognosisProportional Hazards ModelsFluorouracilcolorectal cancerfluorouracillocationrelative expression orderingresponse

Identifiers

PMID29700901
PMCPMC5989868
OpenAlexW2800673347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.