Evidence map›Paper›PMID 33123247›Full record

ArticleOncology letters2020

Neoadjuvant chemotherapy promotes the expression of HER3 in patients with ovarian cancer.

Takaaki Mizuno, Yuki Kojima, Kan Yonemori, Hiroshi Yoshida, Yukiko Sugiura, Yohei Ohtake, Hitomi S Okuma, Tadaaki Nishikawa, Maki Tanioka, Kazuki Sudo and 9 more

Abstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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  5. Review
  6. Review
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

19 authors.

Takaaki MizunoDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Yuki KojimaDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Kan YonemoriDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Hiroshi YoshidaDepartment of Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Yukiko SugiuraDepartment of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Yohei OhtakeDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Hitomi S OkumaDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Tadaaki NishikawaDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Maki TaniokaDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Kazuki SudoDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Akihiko ShimomuraDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Emi NoguchiDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Tomoyasu KatoDepartment of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Tatsunori ShimoiDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Masaya UnoDepartment of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Mitsuya IshikawaDepartment of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Yasuhiro FujiwaraDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
Yuichiro OheThe Jikei University Graduate School of Medicine, Tokyo 105-8461, Japan.
Kenji TamuraDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo 104-0045, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HER3 (erbB3) signaling serves an important role in the development and chemoresistance of ovarian cancer, and is activated by chemotherapy. To evaluate the influence of neoadjuvant chemotherapy and other clinical factors on the expression of HER3, as well as to examine its role as a prognostic marker, the present study evaluated archived tissues from patients who underwent surgery for ovarian cancer between 2011 and 2018 at our hospital. Immunohistochemical staining for HER3 was performed using formalin-fixed paraffin-embedded surgical specimens and biopsy samples. In total, data from 111 patients with sufficient surgically resected tumor samples were extracted. A total of 28 patients with histology type high-grade serous carcinoma (HGSC) had specimens available from both pre-chemotherapy biopsies and post-chemotherapy surgery. High HER3 expression (HER3-high) was observed in 64 patients (58%), whereas low HER3 expression (HER3-low) was observed in 47 patients (42%). Multivariate logistic regression analysis identified neoadjuvant chemotherapy [odds ratio (OR), 7.49; 95% confidence interval (CI), 2.48-22.64; P<0.001) and non-HGSC histology (OR, 5.42; 95% CI, 1.99-14.78; P<0.001) as significant predictive factors for HER3-high. In pre-chemotherapy biopsy specimens, 15 patients were HER3-high and 13 were HER3-low. After chemotherapy, eight of 13 patients with HER3-low exhibited a change in status to HER3-high, with a trend toward poorer progression-free survival compared to that of patients whose status remained HER3-low. In conclusion, HER3 overexpression was revealed to be common among patients with ovarian cancer, especially in those with non-HGSC histology. In addition, HER3 expression may be promoted by chemotherapy. These findings suggested that patients with ovarian cancer are good candidates for emerging HER3-targeting therapies.

Indexed as

biomarkerHER3 protein expressionhigh-grade serous carcinomaneoadjuvant chemotherapyovarian cancer

Identifiers

PMID33123247
PMCPMC7583842

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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.