Literature DB >> 32348564

Can pathology diagnostic services for cancer be stratified and serve global health?

Fabienne Anglade1, Danny A Milner2, Jane E Brock3.   

Abstract

BACKGROUND: Before initiating cancer therapy, a diagnostic tumor tissue sample evaluated within a pathology laboratory by a pathologist is essential to confirm the malignancy type and provide key prognostic factors that direct the treatment offered.
METHODS: Pathology evaluation includes multiple expensive reagents, complex equipment, and both laboratory and pathologist technical skills. By using breast cancer as an example, at a minimum, key tumor prognostic information required before the initiation of treatment includes subtype, tumor grade, tumor size, lymph node status when possible, and biomarker expression determined by immunohistochemistry for estrogen receptor. The additional determination of biomarker expression of progesterone receptor and human epidermal growth factor receptor (HER2) is the standard of care in high-resource settings, but assays may not be affordable in low-income and middle-income countries.
RESULTS: With positive tests, patients are eligible for either tamoxifen (for estrogen receptor-positive/progesterone receptor-positive cancers) or monoclonal antibody therapy (for HER2-positive cancers). For settings in which endocrine therapy and/or HER2-targeted therapy is unavailable, biomarker studies have no utility, and high-resource setting standards for pathology evaluation and reporting are unachievable. Resource-stratified pathology evaluation guidelines in cancer diagnosis have not been developed, in contrast to excellent comprehensive, resource-stratified clinical guidelines for use in low-income and middle-income countries, and these are long overdue.
CONCLUSIONS: The challenges of pathology evaluation in the context of global health are being met by innovative solutions, which may change the face of pathology practice.
© 2020 American Cancer Society.

Entities:  

Keywords:  breast cancer; diagnostics; guidelines; pathology; stratification; tiered

Mesh:

Substances:

Year:  2020        PMID: 32348564     DOI: 10.1002/cncr.32872

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  8 in total

1.  The Breast Health Global Initiative 2018 Global Summit on Improving Breast Healthcare Through Resource-Stratified Phased Implementation: Methods and overview.

Authors:  Catherine Duggan; Allison Dvaladze; Anne F Rositch; Ophira Ginsburg; Cheng-Har Yip; Susan Horton; Rolando Camacho Rodriguez; Alexandru Eniu; Miriam Mutebi; Jean-Marc Bourque; Shahla Masood; Karla Unger-Saldaña; Anna Cabanes; Robert W Carlson; Julie R Gralow; Benjamin O Anderson
Journal:  Cancer       Date:  2020-05-15       Impact factor: 6.860

2.  Harmonization of the Essentials: Matching Diagnostics to Treatments for Global Oncology.

Authors:  Analise LeJeune; Jane E Brock; Elizabeth A Morgan; Jennifer L Kasten; Yehoda M Martei; Temidayo Fadelu; Henry M Rinder; Robert Goulart; Lawrence N Shulman; Danny A Milner
Journal:  JCO Glob Oncol       Date:  2020-08

3.  Receptor-Defined Breast Cancer in Five East African Countries and Its Implications for Treatment: Systematic Review and Meta-Analysis.

Authors:  Pallvi Popli; Elane M Gutterman; Coral Omene; Shridar Ganesan; Douglas Mills; Richard Marlink
Journal:  JCO Glob Oncol       Date:  2021-02

4.  Pathum Raksa Project: Addressing Disparity in Breast Cancer Care Through National Innovation in Thailand.

Authors:  Supinda Koonmee; Ongart Somintara; Piyapharom Intarawichian; Chaiwat Aphivatanasiri; Sakkarn Sangkhamanon; Suphawat Laohawiriyakamol; Rujira Panawattanakul; Phanchanut Mahantassanapong; Chayanoot Rattadilok; Piyarat Jeeravongpanich; Wilart Krongyute; Krisada Prachumrasee; Reza Alaghehbandan
Journal:  Cancer Manag Res       Date:  2021-11-23       Impact factor: 3.989

5.  Prognostic Evaluation of Metastasis-Related Lymphocyte/Monocyte Ratio in Stage Ⅰ-Ⅲ Breast Cancer Receiving Chemotherapy.

Authors:  Zihan Zhang; Qian Lin; Yi Chen; Chenlin Su; Wuye Lin; Daoyu Wei; Litu Zhang; Haizhou Liu
Journal:  Front Oncol       Date:  2022-03-24       Impact factor: 6.244

6.  Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade.

Authors:  Andrew Lagree; Audrey Shiner; Marie Angeli Alera; Lauren Fleshner; Ethan Law; Brianna Law; Fang-I Lu; David Dodington; Sonal Gandhi; Elzbieta A Slodkowska; Alex Shenfield; Katarzyna J Jerzak; Ali Sadeghi-Naini; William T Tran
Journal:  Curr Oncol       Date:  2021-10-27       Impact factor: 3.677

7.  Federated learning for computational pathology on gigapixel whole slide images.

Authors:  Ming Y Lu; Richard J Chen; Dehan Kong; Jana Lipkova; Rajendra Singh; Drew F K Williamson; Tiffany Y Chen; Faisal Mahmood
Journal:  Med Image Anal       Date:  2021-11-25       Impact factor: 13.828

8.  Geospatial barriers to healthcare access for breast cancer diagnosis in sub-Saharan African settings: The African Breast Cancer-Disparities in Outcomes Cohort Study.

Authors:  Kayo Togawa; Benjamin O Anderson; Milena Foerster; Moses Galukande; Annelle Zietsman; Johanna Pontac; Angelica Anele; Charles Adisa; Groesbeck Parham; Leeya F Pinder; Fiona McKenzie; Joachim Schüz; Isabel Dos Santos-Silva; Valerie McCormack
Journal:  Int J Cancer       Date:  2020-12-08       Impact factor: 7.396

  8 in total

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