Keiichiro Honma

Dr. Keiichiro Honma

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 October 2023 in Breast Cancer
Verified
Journal Article
Closed access
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HKHiroki Kusama
Hiroki Kusama
NKNobuyoshi Kittaka
Nobuyoshi Kittaka
ASAi Soma
Ai Soma
ATAzusa Taniguchi
Azusa Taniguchi
HKHaruka Kanaoka
Haruka Kanaoka
TNTakahiro Nakayama
Takahiro Nakayama

1 January 2022 in Laboratory Investigation
Verified
Journal Article
Closed access
PDF file
KGKeisuke Goto
Keisuke Goto
YKYoji Kukita
Yoji Kukita
KHKeiichiro Honma
Keiichiro Honma
NONobuyuki Ohike
Nobuyuki Ohike
TKTakaya Komori
Takaya Komori
TITaiki Isei
Taiki Isei

19 April 2023 in Diagnostics
Verified
Journal Article
Open access
PDF file
KKKikuya Kato
Kikuya Kato
JOJiro Okami
Jiro Okami
HNHarumi Nakamura
Harumi Nakamura
KHKeiichiro Honma
Keiichiro Honma
YSYoshiharu Sato
Yoshiharu Sato
MHMasahiko Higashiyama
Masahiko Higashiyama
The recent increase in the number of molecular targeted agents for lung cancer has led to the demand for the simultaneous testing of multiple genes. Although gene panels using next-generation sequencing (NGS) are ideal, conventional panels require a high tumor content, and biopsy samples often do not meet this requirement. We developed a new NGS panel, called compact panel, characterized by high sensitivity, with detection limits for mutations of 0.14%, 0.20%, 0.48%, 0.24%, and 0.20% for EGFR exon 19 deletion, L858R, T790M, BRAF V600E, and KRAS G12C, respectively. Mutation detection also had a high quantitative ability, with correlation coefficients ranging from 0.966 to 0.992. The threshold for fusion detection was 1%. The panel exhibited good concordance with the approved tests. The identity rates were as follows: EGFR positive, 100% (95% confidence interval, 95.5–100); EGFR negative, 90.9 (82.2–96.3); BRAF positive, 100 (59.0–100); BRAF negative, 100 (94.9–100); KRAS G12C positive, 100 (92.7–100); KRAS G12C negative, 100 (93.0–100); ALK positive, 96.7 (83.8–99.9); ALK negative, 98.4 (97.2–99.2); ROS1 positive, 100 (66.4–100); ROS1 negative, 99.0 (94.6–100); MET positive, 98.0 (89.0–99.9); MET negative 100 (92.8–100); RET positive, 93.8 (69.8–100); RET negative, 100 (94.9–100). The analytical performance showed that the panel could handle various types of biopsy samples obtained by routine clinical practice without requiring strict pathological monitoring, as in the case of conventional NGS panels.

3 February 2023 in Cancers
Verified
Journal Article
Open access
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TYTakuo Yamai
Takuo Yamai
KIKenji Ikezawa
Kenji Ikezawa
NSNaotoshi Sugimoto
Naotoshi Sugimoto
MUMakiko Urabe
Makiko Urabe
YKYugo Kai
Yugo Kai
Kazuyoshi OhkawaKazuyoshi Ohkawa
Kazuyoshi Ohkawa
Although comprehensive genomic profiling (CGP) tests have been covered under the Japanese national health insurance program since 2018, the utility and issues of CGP tests have not been clarified. We retrospectively reviewed 115 patients with incurable pancreatic cancer (IPC) who underwent CGP tests in a Japanese cancer referral center from November 2019 to August 2021. We evaluated the results of CGP tests, treatments based on CGP tests, and survival time. Eight cases (6.9%) were diagnosed as tumor mutation burden-high (TMB-H) and/or microsatellite instability-high (MSI-H). The gene mutation rates of KRAS/TP53/CDKN2A/SMAD4 were 93.0/83.0/53.0/25.2%, respectively. Twenty-five patients (21.7%) had homologous recombination deficiency (HRD)-related genetic mutations. Four patients (3.5%) having TMB-H and/or MSI-H were treated with pembrolizumab, and only two patients (1.7%) participated in the clinical trials. Patient characteristics were not significantly different between patients with and without HRD-related gene mutations. The median OS was significantly longer in the HRD (+) group than in the HRD (−) group (749 days vs. 519 days, p = 0.047). In multivariate analysis, HRD-related gene mutation was an independent prognostic factor associated with favorable OS. CGP tests for patients with IPC have the potential utility of detecting HRD-related gene mutations as prognostic factors as well as a therapeutic search.

13 September 2022 in Thoracic Cancer
Verified
Journal Article
Open access
KKKei Kunimasa
Kei Kunimasa
NSNaotoshi Sugimoto
Naotoshi Sugimoto
TKTakahisa Kawamura
Takahisa Kawamura
TYTomoyuki Yamasaki
Tomoyuki Yamasaki
KHKeiichiro Honma
Keiichiro Honma
KNKazumi Nishino
Kazumi Nishino
Background: The usefulness of comprehensive genomic profiling (CGP) panels for thoracic malignancies after completion of the standard treatment is unclear.Methods: The results of CGP panels for malignant thoracic diseases performed at our hospital between December 2019 and June 2022 were collected. We examined whether CGP panel results led to new treatment, correlated with the effectiveness of immune checkpoint inhibitors (ICIs), or revealed secondary findings related to hereditary tumors.Results: A total of 60 patients were enrolled, of which 52 (86.6%) had lung cancer. In six (10%) patients, the panel results led to treatment with insurance‐listed molecular‐targeted agents; four patients had EGFR mutations not detected by the real‐time polymerase chain reaction assay and two had MET ex.14 skipping mutations. In small‐cell lung cancer, the tumor mutation burden was high in 4/6 (66.7%) patients and pembrolizumab was available. Another MET ex.14 skipping mutation was detected in two cases with EGFR‐tyrosine kinase inhibitor resistance. ICI efficacy was ≤1 year in patients with STK‐11, KEAP1, and NEF2L2 mutations. A BRCA2 mutation with a high probability of germline mutation was detected in one patient. A thymic carcinoma with no detectable oncogenic mutation responded to second‐line treatment with Tegafur‐Gimeracil‐Oteracil Potassium (TS‐1) for ≥9 years.Conclusions: CGP panels are useful in thoracic malignancies, especially lung cancer, because they can detect overlooked driver mutations and genetic alterations. We believe that the significance of conducting a CGP panel prior to treatment may also exist, as it may lead to the prediction of ICI treatment efficacy.

1 August 2021 in Cancer Genetics
Verified
Journal Article
Closed access
KKKei Kunimasa
Kei Kunimasa
YHYosuke Hirotsu
Yosuke Hirotsu
YKYoji Kukita
Yoji Kukita
YUYumi Ueda
Yumi Ueda
YSYoshiharu Sato
Yoshiharu Sato
TKToru Kumagai
Toru Kumagai