Evidence map›Paper›PMID 38565653›Full record

ArticleJournal of cancer research and clinical oncology2024

An algorithm-based technique for counting mitochondria in cells using immunohistochemical staining of formalin-fixed and paraffin-embedded sections.

Mai Sakashita, Noriko Motoi, Gaku Yamamoto, Emi Gambe, Masanori Suzuki, Yukihiro Yoshida, Shun-Ichi Watanabe, Yutaka Takazawa, Kazunori Aoki, Atsushi Ochiai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

11 authors at 6 institutions in 1 country.

Mai SakashitaDivision of Biomarker Discovery, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan.
Noriko MotoiDepartment of Pathology, Saitama Cancer Center, Saitama, Japan.
Gaku YamamotoDivision of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.
Emi GambeDepartment of Pathology, Toranomon Hospital, Tokyo, Japan.
Masanori SuzukiDepartment of Pathology, Toranomon Hospital, Tokyo, Japan.
Yukihiro YoshidaDepartment of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan.
Shun-Ichi WatanabeDepartment of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan.
Yutaka TakazawaDepartment of Pathology, Toranomon Hospital, Tokyo, Japan.
Kazunori AokiDepartment of Immune Medicine, National Cancer Center Research Institute, Tokyo, Japan.
Atsushi OchiaiResearch Institute for Biomedical Sciences, Tokyo University of Science, Tokyo, Japan.
Shingo SakashitaDivision of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, 6-5-1, Kashiwanoha, Kashiwa-Shi, Chiba, 277-8577, Japan. ssakashi@east.ncc.go.jp.
Toranomon Hospital · JPNational Cancer Center Hospital East · JPTokyo National Hospital · JPChiba Cancer Center · JPSaitama Cancer Center · JPTokyo University of Science · JP

Funding

Japan Agency for Medical Research and Development 20ck0106532Japan Society for the Promotion of Science 18K07036Japan Society for the Promotion of Science 21K06899
6 · The paper itself

Abstract

purposeVisualizing mitochondria in cancer cells from human pathological specimens may improve our understanding of cancer biology. However, using immunohistochemistry to evaluate mitochondria remains difficult because almost all cells contain mitochondria and the number of mitochondria per cell may have important effects on mitochondrial function. Herein, we established an objective system (Mito-score) for evaluating mitochondria using machine-based processing of hue, saturation, and value color spaces.

methodsThe Mito-score was defined as the number of COX4 (mitochondrial inner membrane) immunohistochemistry-positive pixels divided by the number of nuclei per cell. The system was validated using four lung cancer cell lines, normal tissues, and lung cancer tissues (199 cases).

resultsThe Mito-score correlated with MitoTracker, a fluorescent dye used to selectively label and visualize mitochondria within cells under a microscope (R

conclusionThe Mito-score method enables the analysis of the mitochondrial status of human formalin-fixed paraffin-embedded specimens and may provide insights into the metabolic status of cancer.

Indexed as

FormaldehydeLung NeoplasmsHumansMitochondriaParaffinParaffin EmbeddingStaining and LabelingFormaldehydeParaffinCancerCOX4MitochondriaMitoTracker

Identifiers

PMID38565653
PMCPMC10987345
OpenAlexW4393899952

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LicenceCC BY
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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.