Evidence map›Paper›PMID 41100010›Full record

ReviewMedical oncology (Northwood, London, England)2025

Cancer Metastasis: Therapeutic Challenges and Opportunities.

Sri Sathya Sandilya Garemilla, Manisha Choudhary Kadambala, Siri Chandana Gampa, Swetha Chinthala, Sireesha V Garimella

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Calcium Phosphate Nanoparticle Delivery of siInternational journal of nanomedicine · 2026
    Article
  9. Review
  10. 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

5 authors.

Sri Sathya Sandilya GaremillaSchool of Medicine and Health Sciences, The George Washington University, Ross Hall, 2300 Eye Street, Washington, D.C., NW, 20037, USA.
Manisha Choudhary KadambalaDepartment of Life Sciences, School of Science, GITAM (Deemed to Be University), Visakhapatnam, Andhra Pradesh, 530045, India.
Siri Chandana GampaDepartment of Life Sciences, School of Science, GITAM (Deemed to Be University), Visakhapatnam, Andhra Pradesh, 530045, India.
Swetha ChinthalaDepartment of Life Sciences, School of Science, GITAM (Deemed to Be University), Visakhapatnam, Andhra Pradesh, 530045, India.
Sireesha V GarimellaDepartment of Life Sciences, School of Science, GITAM (Deemed to Be University), Visakhapatnam, Andhra Pradesh, 530045, India. sgarimel@gitam.edu.ORCID http://orcid.org/0000-0002-1260-6769

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic cancer is the leading cause of cancer-related mortality, responsible for nearly 90% of deaths worldwide. Its progression depends on a multistep cascade involving invasion, vascular dissemination, survival in circulation and colonization of distant organs. This process is highly inefficient yet devastating, as a small fraction of tumor cells can establish lethal secondary lesions. This review summarizes recent advances in understanding the biological complexities of metastasis, including tumor heterogeneity, chemoresistance and the tumor microenvironment. We further examine emerging diagnostic and therapeutic strategies, spanning molecular profiling, liquid biopsies, nanomedicine, immunotherapy and artificial intelligence. Targeted therapies toward inhibiting metastasis such as BRAF/MEK inhibitors have extended progression-free survival by 30-40% in melanoma trials, while checkpoint inhibitor combinations (PD-1 and CTLA-4) achieve response rates exceeding 50% in melanoma and renal cell carcinoma. Liquid biopsy platforms enable real-time detection of resistance mutations, and nanoparticle-based drug delivery systems improve drug accumulation at tumor sites. Emerging tools such as organoids and tumor-on-a-chip models enhance predictive accuracy, while AI-driven analytics integrate multi-omics data to refine patient stratification. Integrating these innovations into next-generation clinical trials will require biomarker-driven patient selection, multi-center validation of assays and regulatory frameworks to accelerate approval. Together, these advances represent a transition toward personalized and adaptive care, offering the potential to redefine metastatic cancer as a manageable condition rather than a terminal diagnosis.

Indexed as

Neoplasm MetastasisNeoplasmsHumansImmunotherapyTumor MicroenvironmentArtificial intelligenceBiomarkersCancer immunotherapyChemoresistanceLiquid biopsyMetastasisPrecision oncologyTargeted therapyTumor heterogeneityTumor microenvironment

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.