Evidence map›Paper›PMID 39687493›Full record

ReviewOncology reviews2024

Prognostic and clinicopathological significance of survivin in gynecological cancer.

Agapiti H Chuwa, David H Mvunta

Abstract readReview
In one paragraph

Review in Oncology reviews, 2024. 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
  2. Article
  3. Review
  4. Article
  5. Article
  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

2 authors.

Agapiti H ChuwaDepartment of Physiology, Mbeya College of Health and Allied Sciences, University of Dar es Salaam, Mbeya, Tanzania.
David H MvuntaDepartment of Obstetrics and Gynecology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Survivin belongs to the inhibitor of apoptosis protein (IAP) family and is encoded by the baculoviral inhibitor of apoptosis repeat-containing, or BIRC5, gene. It is preferentially expressed in cancers with functional complexity in cell signaling cascades such as extracellular signal-regulated kinases (ERK), mitogen-activated protein kinases (MAPK), heat shock protein-90 (HSP90), epidermal growth factor receptor (EGFR), phosphoinositide 3-kinase (PI3K), signal transducer and activator of transcription (STAT), hypoxia-inducible factor-1 alpha (HIF-1α), vascular endothelial growth factor (VEGF), and others. Survivin plays a role in cell division and cell death, properties that have attracted a large body of research to decipher its therapeutic and prognostic significance in cancer. Survivin has tumor-promoting effects in endometrial (EC) and ovarian (OC) cancers, and its upregulation in endometrial cancer has been associated with poor overall survival (OS). While survivin protein is abundantly expressed in OC, it is barely detectable in normal ovarian tissue or benign ovarian tumors. Survivin expression is also a marker for cervical intraepithelial neoplasia (CIN) and high-risk human papillomavirus, and a predictor of viral clearance and prognosis in uterine cervical cancer (UCC). Furthermore, nuclear survivin expression is very low in normal vulvar squamous epithelium and increases to become abundant in vulvar invasive squamous cell carcinoma (ISCC), conferring resistance to apoptosis in vulvar carcinogenesis. In this review, we discuss in detail the impact of survivin signaling on gynecological cancers and provide insight on its therapeutic and diagnostic potential, existing research gaps, and areas for future research.

Indexed as

BIRC5chemoresistancegynecological cancersurvivintargeted therapy

Identifiers

PMID39687493
PMCPMC11646728

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Registered trials

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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.