# Recommendations for the use of next-generation sequencing (NGS) for patients with advanced cancer in 2024: a report from the ESMO Precision Medicine Working Group

*PRI Rank #3 · Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026/rank-3*

| Field | Value |
| --- | --- |
| Rank | #3 |
| 18m citations | 230 |
| Journal | Annals of Oncology |
| Year | 2024 |
| DOI | 10.1016/j.annonc.2024.04.005 |
| Corresponding authors | Fabrice André |
| Institution | Gustave Roussy, France |

**Ranking page:** [Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026](https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026)

**Paper link:** [10.1016/j.annonc.2024.04.005](https://doi.org/10.1016/j.annonc.2024.04.005)

## Topics

next-generation sequencing · Precision medicine · Advanced cancer · tumour NGS · ESMO Scale for Clinical Actionability of molecular Targets (ESCAT) · ESMO Precision Medicine Working Group · clinical actionability · Molecular target · treatment decision-making · cost-effectiveness · accessibility · Non-small cell lung cancer · prostate cancer · Colorectal cancer · cholangiocarcinoma · ovarian cancer · breast cancer · gastrointestinal stromal tumours · sarcoma · thyroid cancer · cancer of unknown primary · rare tumours · Metastasis · tumour-agnostic alterations · tumour-agnostic therapies · matched therapies · clinical research centres · routine clinical practice · Genomic profiling · molecular profiling · biomarker-driven therapy · Precision medicine · Somatic mutations · Genomic alterations

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026. https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026. Accessed 2026-07-14.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```