Evidence map›Paper›PMID 39118097›Full record

ReviewJournal of ovarian research2024

Emerging role of mucins in antibody drug conjugates for ovarian cancer therapy.

Shabnam Malik, Mohammed Sikander, Natasha Bell, Daniel Zubieta, Maria C Bell, Murali M Yallapu, Subhash C Chauhan

Abstract readReview
In one paragraph

Review in Journal of ovarian research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Glycoprotein Mucin 13 Expression as a Theranostic Target in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  2. 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

7 authors.

Shabnam MalikDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, 78504, USA.
Mohammed SikanderDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, 78504, USA.
Natasha BellSouth Texas Center of Excellence in Cancer Research (ST-CECR), McAllen, TX, 78504, USA.
Daniel ZubietaDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, 78504, USA.
Maria C BellSanford Health, Sanford Gynecologic Oncology Clinic, Sioux Falls, SD, 57104, USA.
Murali M YallapuDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, 78504, USA.
Subhash C ChauhanDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, 78504, USA. Subhash.Chauhan@utrgv.edu.

Funding

Rio Grande Valley Cancer Health Disparity Research CenterU54MD019970 · NIMHD · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI Deepu George · 2024 to 2026
$15.0M
MUC13 Mucin in Colorectal Cancer Health DisparityR01CA204552 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2020
$1.7M
Development of Targeted Nanotechnology Platform for Pancreatic CancerR01CA206069 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
Targeted Nanotherapy for Pancreatic CancerR01CA210192 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
miR-205 Nanoparticle system circumvents docetaxel resistance in prostate cancerSC1GM139727 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI YALLAPU, MURALI MOHAN · 2021 to 2024
$1.5M
CPRIT RP210180NCI NIH HHS R01 CA204552NCI NIH HHS R01 CA206069NCI NIH HHS R01 CA210192NIH HHS R01 CA210192NIH HHS SC1GM139727NIMHD NIH HHS U54 MD019970
6 · The paper itself

Abstract

Ovarian cancer stands as the deadliest gynecologic malignancy, responsible for nearly 65% of all gynecologic cancer-related deaths. The challenges in early detection and diagnosis, coupled with the widespread intraperitoneal spread of cancer cells and resistance to chemotherapy, contribute significantly to the high mortality rate of this disease. Due to the absence of specific symptoms and the lack of effective screening methods, most ovarian cancer cases are diagnosed at advanced stages. While chemotherapy is a common treatment, it often leads to tumor recurrence, necessitating further interventions. In recent years, antibody-drug conjugates (ADCs) have emerged as a valuable tool in targeted cancer therapy. These complex biotherapeutics combine an antibody that specifically targets tumor specific/associated antigen(s) with a high potency anti-cancer drug through a linker, offering a promising approach for ovarian cancer treatment. The identification of molecular targets in various human tumors has paved the way for the development of targeted therapies, with ADCs being at the forefront of this innovation. By delivering cytotoxic agents directly to tumors and metastatic lesions, ADCs show potential in managing chemo-resistant ovarian cancers. Mucins such as MUC16, MUC13, and MUC1 have shown significantly higher expression in ovarian tumors as compared to normal and/or benign samples, thus have become promising targets for ADC generation. While traditional markers are limited by their elevated levels in non-cancerous conditions, mucins offer a new possibility for targeted treatment in ovarian cancer. This review comprehensively described the potential of mucins for the generation of ADC therapy, highlighting their importance in the quest to improve the outcome of ovarian cancer patients.

Indexed as

ImmunoconjugatesMucinsOvarian NeoplasmsAnimalsAntineoplastic AgentsFemaleHumansAntineoplastic AgentsImmunoconjugatesMucinsAntibody drug conjugate (ADC)FRαMesothelinMUC1MUC13MUC16MucinsNaPi2BOvarian cancer

Identifiers

PMID39118097
PMCPMC11308542

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.