Evidence map›Paper›PMID 28099918›Full record

ArticleOncotarget2017

Association of T-cadherin levels with the response to neoadjuvant chemotherapy in locally advanced breast cancer.

Dedi Kong, Mei-Hong Wang, Jie Yang, Liang Li

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

4 authors.

Dedi KongDepartment of Thyroid and Breast Surgery, Jining No.1 People's Hospital, Jiningy 272011, Shandong, People's Republic of China.
Mei-Hong WangDepartment of Thyroid and Breast Surgery, Jining No.1 People's Hospital, Jiningy 272011, Shandong, People's Republic of China.
Jie YangDepartment of Pathology, Jining No.1 People's Hospital, Jiningy 272011, Shandong, People's Republic of China.
Liang LiDepartment of Pharmacy, Jining No.1 People's Hospital, Jiningy 272011, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the association of T-cadherin with pathologic complete response (pCR) after neoadjuvant chemotherapy for locally advanced breast cancer.

resultsT-cadherin expression before and after neoadjuvant chemotherapy was similar (P = 0.162). The multivariable analysis indicated that negative T-cadherin expression was independently associated with pCR after neoadjuvant TAC chemotherapy (P = 0.001). MATERIALS AND

methodsA total of 136 patients with locally advanced breast cancer received four cycles of neoadjuvant TAC chemotherapy (docetaxel + epirubicin + cyclophosphamide), followed by surgery. T-cadherin, estrogen receptor (ER), progesterone receptor (PR), HER-2, and Ki-67 were analyzed by immunohistochemistry. The association between T-cadherin expression and pCR after neoadjuvant chemotherapy was analyzed using multivariable logistic analysis.

conclusionsNegative T-cadherin expression before and after neoadjuvant chemotherapy for locally advanced breast cancer was similar. T-cadherin could be considered an independent factor associated with the efficacy of such therapy.

Indexed as

AdultAgedAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsCadherinsChemotherapy, AdjuvantCohort StudiesFemaleHumansMiddle AgedNeoadjuvant TherapyCadherinsH-cadherinlocally advanced breast cancerneoadjuvant chemotherapyT-cadherin

Identifiers

PMID28099918
PMCPMC5355134

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.