Evidence map›Paper›PMID 32218821›Full record

ArticleOncology letters2020

The pathological complete response and secreted protein acidic and rich in cysteine expression in patients with breast cancer receiving neoadjuvant nab-paclitaxel chemotherapy.

Yuko Nakazawa, Seshiru Nakazawa, Sasagu Kurozumi, Misato Ogino, Yukio Koibuchi, Hiroki Odawara, Tetsunari Oyama, Jun Horiguchi, Takaaki Fujii, Ken Shirabe

Open access · diamondAbstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Deciphering albumin-directed drug delivery by imaging.Advanced drug delivery reviews · 2022
    Review
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Review
  9. Article
  10. Observational
  11. 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

10 authors at 4 institutions in 1 country.

Yuko NakazawaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Seshiru NakazawaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Sasagu KurozumiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Misato OginoDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Yukio KoibuchiDepartment of Breast and Endocrine Surgery, National Hospital Organization Takasaki General Medical Center, Takasaki, Gunma 370-0829, Japan.
Hiroki OdawaraDepartment of Surgery, Toho Hospital, Midori, Gunma 376-0121, Japan.
Tetsunari OyamaDepartment of Diagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Jun HoriguchiDepartment of Breast Surgery, International University of Health and Welfare, Chiba 286-8686, Japan.
Takaaki FujiiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Ken ShirabeDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Gunma University · JPInternational University of Health and Welfare · JPNational Hospital Organization Takasaki Medical Center · JPSapporo Toho Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers that can accurately predict treatment response are required for indicating optimal neoadjuvant treatments. The current study assessed the predictive value of secreted protein acidic and rich in cysteine (SPARC) mRNA expression for the response to neoadjuvant nab-paclitaxel (nab-PTX) therapy in patients with breast cancer. It was hypothesized that SPARC expression can affect the response to albumin-bound taxanes, including nab-PTX since SPARC binds albumin with a high affinity. Pre-therapeutic specimens of core needle biopsies were analyzed from 50 patients in a phase II trial of neoadjuvant nab-PTX and the factors that were associated with a pathological complete response (pCR) were assessed. The pre-therapeutic tumor mRNA levels of chemotherapy-related proteins were quantified, including SPARC, and the correlations with post-therapeutic clinicopathological factors were assessed, including with pCR. The results demonstrated that pre-therapeutic SPARC mRNA expression was significantly higher in non-pCR patients compared with patients with pCR (92.37±55.33 vs. 56.53±30.19; P=0.027). A cutoff point of 48.5 was determined using receiver operating characteristic (ROC) curve analysis (sensitivity, 83.3%; specificity, 50.0%), and patients were classified into low and high SPARC expression groups. High SPARC expression was associated with histological grade (P=0.035), estrogen receptor expression (P=0.037), and progesterone receptor expression (P=0.002) but not with HER2 (P=0.895), and Ki-67 LI (P=0.743) expression. The results of the current study indicated that a high SPARC mRNA expression was a negative predictor of pCR following neoadjuvant nab-PTX therapy regardless of breast cancer subtype. The phase II study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the National Hospital Organization Takasaki General Medical Center (Registration nos. H23-9 and H23-33).

Indexed as

breast cancernab-paclitaxelneoadjuvant therapypathological complete responsesecreted protein acidic and rich in cysteine

Identifiers

PMID32218821
PMCPMC7068243
OpenAlexW3002259613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.