Evidence map›Paper›PMID 41522928›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Evaluation of Circulating Tumor DNA as a Biomarker for Chemoresistance in Colorectal Cancer.

Koduvayur Roopa Lakshmi, Charan Sankar Sankaranarayanan, Raja A S Gogineni, K Afsar Shaheen, Parasharan Peddi

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Koduvayur Roopa LakshmiDepartment of Neurosurgery, Care Hospital, Hitech City, Hyderabad, Telangana, India.
Charan Sankar SankaranarayananDepartment of Neurology and Stroke Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, India.
Raja A S GogineniDepartment of Intensive Care Unit, Manipal Hospitals, Vijayawada, Andhra Pradesh, India.
K Afsar ShaheenDepartment of Oncology, Yashoda Hospital, Hyderabad, Telangana, India.
Parasharan PeddiDepartment of Anaesthesia, Suraksha Hospital, Khammam, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is a leading cause of cancer-related mortality globally. Resistance to chemotherapy, particularly to first-line regimens such as FOLFOX (5-fluorouracil, leucovorin, and oxaliplatin), remains a critical barrier to successful treatment. Methods: This prospective observational study enrolled 96 patients with stage II-IV colorectal adenocarcinoma receiving first-line FOLFOX chemotherapy. Plasma samples were collected at baseline, post-cycle 3, and post-cycle 6 for ctDNA quantification and sequencing of KRAS, NRAS, and TP53 mutations. Radiological tumor response was assessed by RECIST v1.1 criteria. Statistical analysis included ANOVA, Chi-square tests, and logistic regression. Results: Among 96 patients (mean age 60.3 ± 8.2 years; 58.3% male), 34 (35.4%) exhibited chemoresistance. Baseline ctDNA levels were significantly higher in resistant patients (38.7 ± 10.5 ng/mL) compared to responders (25.4 ± 9.3 ng/mL, Conclusion: Elevated baseline ctDNA levels and persistent TP53 mutations are associated with chemoresistance in colorectal cancer. Early reduction in ctDNA during therapy may serve as a robust predictor of response, supporting its integration into personalized treatment strategies.

Indexed as

Biomarkerchemoresistancecolorectal cancer

Identifiers

PMID41522928
PMCPMC12788532

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.