Evidence map›Paper›PMID 33963949›Full record

ArticleMedical molecular morphology2021

Prediction of treatment response from the microenvironment of tumor immunity in cervical cancer patients treated with chemoradiotherapy.

Masanori Someya, Takaaki Tsuchiya, Yuki Fukushima, Tomokazu Hasegawa, Masakazu Hori, Mio Kitagawa, Toshio Gocho, Shoh Mafune, Yutaro Ikeuchi, Yoshihiko Hirohashi and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Medical molecular morphology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 12 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

16 authors at 2 institutions in 1 country.

Masanori SomeyaDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan. someya@sapmed.ac.jp.ORCID http://orcid.org/0000-0001-8821-7754
Takaaki TsuchiyaDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Yuki FukushimaDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Tomokazu HasegawaDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Masakazu HoriDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Mio KitagawaDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Toshio GochoDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Shoh MafuneDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Yutaro IkeuchiDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Yoshihiko HirohashiDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Toshihiko TorigoeDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Masahiro IwasakiDepartment of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Motoki MatsuuraDepartment of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Tsuyoshi SaitoDepartment of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Yoshihisa MatsumotoInstitute of Innovative Research Laboratory for Advanced Nuclear Energy, Tokyo Institute of Technology, N1-30 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.
Koh-Ichi SakataDepartment of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
Sapporo Medical University · JPTokyo Institute of Technology · JP

Funding

Japan Society for the Promotion of Science 18K07684Japan Society for the Promotion of Science 18K07760
6 · The paper itself

Abstract

To supplement clinical decision-making in the management of cervical cancer, various prognostic factors, including tumor immune microenvironments, were examined in patients with cervical cancer treated with definitive chemoradiotherapy. We retrospectively analyzed the expression of CD8, FoxP3, HLA-1, PD-L1, and XRCC4 in 100 cases of cervical cancer. The observed tumor immune microenvironments were also classified into three types: inflamed, excluded, and cold type. Less FoxP3+ T cells and cold-type tumor were found to be poor prognostic factors in addition to non-SCC, large pre-treatment tumor volume, and three or less cycles of concurrent chemotherapy based on multivariate analysis. Cold-type tumors had significantly worse prognoses than the other two types, whereas inflamed- and excluded-type tumors showed similar 5-year disease-specific survival (P < 0.001; 0% vs. 60.3% vs. 72.3%). Radiotherapy could overcome the inhibitory immune microenvironment that occurs in excluded type. Individualized combination therapy adapted to pre-treatment tumor immunity may be necessary to improve radiotherapy outcomes in cervical cancer.

Indexed as

ChemoradiotherapyGene Expression Regulation, NeoplasticInflammationAdultAgedAged, 80 and overB7-H1 AntigenCD8 AntigensDNA-Binding ProteinsFemaleForkhead Transcription FactorsHumansJapanMiddle AgedPrognosisRetrospective StudiesB7-H1 AntigenCD274 protein, humanCD8 AntigensDNA-Binding ProteinsForkhead Transcription FactorsFOXP3 protein, humanXRCC4 protein, humanCD8CD8-based classificationCervical cancerForkhead box P3Human leukocyte antigen class IProgrammed death ligand 1RadiotherapyTumor immunityXRCC4

Identifiers

PMID33963949
OpenAlexW3157496445

What OpenQuestion holds

Textmetadata
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.