Evidence map›Paper›PMID 36494817›Full record

ArticleCancer cell international2022

Evaluation of X-ray and carbon-ion beam irradiation with chemotherapy for the treatment of cervical adenocarcinoma cells in 2D and 3D cultures.

Kazumasa Sekihara, Hidetomo Himuro, Nao Saito, Yukihide Ota, Taku Kouro, Yohsuke Kusano, Shinichi Minohara, Ryoichi Hirayama, Hiroyuki Katoh, Tetsuro Sasada and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Targeting RAD52 overcomes PARP inhibitor resistance in preclinicalbioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. International journal of particle therapy · 2025
    Review
  6. Article
  7. Review
  8. Article
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 4 institutions in 1 country.

Kazumasa Sekihara *Department of Cancer Biology, Kanagawa Cancer Center Research Institute, 2-3-2, Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan.
Hidetomo Himuro *Department of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, 2418515, Japan.
Nao SaitoDepartment of Cancer Biology, Kanagawa Cancer Center Research Institute, 2-3-2, Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan.
Yukihide OtaDepartment of Cancer Biology, Kanagawa Cancer Center Research Institute, 2-3-2, Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan.
Taku KouroDepartment of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, 2418515, Japan.
Yohsuke KusanoSection of Medical Physics and Engineering, Kanagawa Cancer Center, Yokohama, 2418515, Japan.
Shinichi MinoharaSection of Medical Physics and Engineering, Kanagawa Cancer Center, Yokohama, 2418515, Japan.
Ryoichi HirayamaDepartment of Charged Particle Therapy Research, Institute for Quantum Medical Science (iQMS), National Institutes for Quantum Science and Technology (QST), Chiba, 2638555, Japan.
Hiroyuki KatohDepartment of Radiation Oncology, Kanagawa Cancer Center, Yokohama, 2418515, Japan.
Tetsuro SasadaDepartment of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, 2418515, Japan.
Daisuke HoshinoDepartment of Cancer Biology, Kanagawa Cancer Center Research Institute, 2-3-2, Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan. dhoshino@gancen.asahi.yokohama.jp.
Kanagawa Cancer CenterKanagawa Prefectural Hospital Organization · JPNational Institutes for Quantum and Radiological Science and Technology · JPYokohama City University · JP

Funding

Japan Society for the Promotion of Science 19K19206P-CREATE JP16cm0106201h001
6 · The paper itself

Abstract

backgroundCervical cancer is the second most common cancer in women and causes more than 250,000 deaths worldwide. Among these, the incidence of cervical adenocarcinomas is increasing. Cervical adenocarcinoma is not only difficult to detect and prevent in the early stages with screening, but it is also resistant to chemotherapy and radiotherapy, and its prognosis worsens significantly as the disease progresses. Furthermore, when recurrence or metastasis is observed, treatment options are limited and there is no curative treatment. Recently, heavy-particle radiotherapy has attracted attention owing to its high tumor control and minimal damage to normal tissues. In addition, heavy particle irradiation is effective for cancer stem cells and hypoxic regions, which are difficult to treat.

methodsIn this study, we cultured cervical adenocarcinoma cell lines (HeLa and HCA-1) in two-dimensional (2D) or three-dimensional (3D) spheroid cultures and evaluated the effects of X-ray and carbon-ion (C-ion) beams.

resultsX-ray irradiation decreased the cell viability in a dose-dependent manner in 2D cultures, whereas this effect was attenuated in 3D spheroid cultures. In contrast, C-ion irradiation demonstrated the same antitumor effect in 3D spheroid cultures as in 2D cultures. In 3D spheroid cultures, X-rays and anticancer drugs are attenuated because of hypoxia inside the spheroids. However, the impact of the C-ion beam was almost the same as that of the 2D culture, because heavy-particle irradiation was not affected by hypoxia.

conclusionThese results suggest that heavy-particle radiotherapy may be a new therapeutic strategy for overcoming the resistance of cervical adenocarcinoma to treatment.

Indexed as

3D spheroidcancer stem cellCarbon-ion beamCervical adenocarcinomaHypoxia

Identifiers

PMID36494817
PMCPMC9733259
OpenAlexW4311279706

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.