Evidence map›Paper›PMID 33403729›Full record

ArticleCancer science2021

Real-world data on microsatellite instability status in various unresectable or metastatic solid tumors.

Kiwamu Akagi, Eiji Oki, Hiroya Taniguchi, Kaname Nakatani, Daisuke Aoki, Takeshi Kuwata, Takayuki Yoshino

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
8.9field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 124 citations in OpenAlex.

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  20. Prevalence and clinicopathological features of microsatellite instability-high metastatic or recurrent gastric and esophagogastric junction cancer: WJOG13320GPS.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Observational

19 more citing papers are in PubMed but not listed here.

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 5 institutions in 1 country.

Kiwamu AkagiDepartment of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, Saitama, Japan.ORCID https://orcid.org/0000-0002-9637-9187
Eiji OkiDepartment of Surgery and Science, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0002-9763-9366
Hiroya TaniguchiDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.ORCID https://orcid.org/0000-0003-1407-6682
Kaname NakataniDepartment of Molecular and Laboratory Medicine, Mie University Graduate School of Medicine, Tsu, Japan.
Daisuke AokiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9596-8326
Takeshi KuwataDepartment of Genetic Medicine and Services, National Cancer Center Hospital East, Kashiwa, Japan.
Takayuki YoshinoDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.
National Cancer Center Hospital East · JPKeio University · JPKyushu University · JPMie University · JPSaitama Cancer Center · JP

Funding

Array Bio PharmaChugaiDaiichi SankyoDainippon Sumitomo PharmaGSKJapan Agency for Medical Research and Development JP18kk0205004Japan Society for the Promotion of Science JP18K07339MSDNational Cancer Center 31-A-2NovartisOnoOno and Falco BiosystemsParexelSanofiSysmexTakeda
6 · The paper itself

Abstract

Microsatellite instability-high (MSI-H) is an important biomarker for predicting the effect of immune checkpoint inhibitors (ICIs) on advanced solid tumors. Microsatellite instability-high is detected in various cancers, but its frequency varies by cancer type and stage. Therefore, precise frequency is required to plan ICI therapy. In this study, the results of MSI tests actually carried out in clinical practice were investigated. In total, 26 469 samples of various cancers were examined between December 2018 and November 2019 to determine whether programmed cell death-1 blockade was indicated. The results of MSI tests were obtained for 26 237 (99.1%) of these samples. The male : female ratio was 51:49 and mean age was 64.3 years. In all samples, the overall frequency of MSI-H was 3.72%. By gender, the frequency of MSI-H was higher in female patients (4.75%) than in male patients (2.62%; P < .001). A comparison by age revealed that the frequency of MSI-H was significantly higher in patients younger than 40 years of age (6.12%) and 80 years or older (5.77%) than in patients aged between 60 and 79 years (3.09%; P < .001). Microsatellite instability-high was detected in 30 cancer types. Common cancer types were: endometrial cancer, 16.85%; small intestinal cancer, 8.63%; gastric cancer, 6.74%; duodenal cancer, 5.60%; and colorectal cancer, 3.78%. Microsatellite instability-high was detected in cancer derived from a wide variety of organs. The frequency of MSI-H varied by cancer type and onset age. These data should prove especially useful when considering ICI treatment.

Indexed as

Microsatellite InstabilityAdolescentAdultAgedAged, 80 and overAge FactorsAntibodies, Monoclonal, HumanizedChildChild, PreschoolCohort StudiesDNA Mismatch RepairDrug Resistance, NeoplasmFemaleHumansImmune Checkpoint InhibitorsMaleAntibodies, Monoclonal, HumanizedImmune Checkpoint InhibitorsPDCD1 protein, humanpembrolizumabProgrammed Cell Death 1 Receptoradvanced solid tumorimmune checkpoint inhibitormicrosatellite instabilitymismatch repairPD-1 blockade

Identifiers

PMID33403729
PMCPMC7935787
OpenAlexW3120340770

What OpenQuestion holds

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LicenceCC BY-NC
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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.