Evidence map›Paper›PMID 35140342›Full record

ArticleBritish journal of cancer2022

Prognostic and predictive roles of cancer stem cell markers in head and neck squamous cell carcinoma patients receiving chemoradiotherapy with or without nimotuzumab.

Usha Patel, Sadhana Kannan, Swapnil U Rane, Neha Mittal, Poonam Gera, Asawari Patil, Subhakankha Manna, Vishwayani Shejwal, Vanita Noronha, Amit Joshi and 3 more

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Usha PatelMahimkar Lab, Cancer Research Institute, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Sadhana KannanHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Swapnil U RaneHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Neha MittalHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Poonam GeraHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Asawari PatilHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Subhakankha MannaMahimkar Lab, Cancer Research Institute, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Vishwayani ShejwalMahimkar Lab, Cancer Research Institute, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Vanita NoronhaHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Amit JoshiHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Vijay M PatilHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Kumar PrabhashHomi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
Manoj B MahimkarMahimkar Lab, Cancer Research Institute, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India. mmahimkar@actrec.gov.in.ORCID http://orcid.org/0000-0003-4098-0157
Homi Bhabha National Institute · INTata Memorial Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnti-EGFR-based therapies have limited success in HNSCC patients. Predictive biomarkers are needed to identify the patients most likely to benefit from these therapies. Here, we present predictive and prognostic associations of different cancer stem cell markers in HPV-negative locally advanced (LA) HNSCC patients.

methodsPretreatment tumour tissues of 404 HPV-negative LA-HNSCCs patients, a subset of-phase 3-randomised study comparing cisplatin-radiation(CRT) and nimotuzumab plus cisplatin-radiation(NCRT) were examined. The expression levels of CD44, CD44v6, CD98hc, ALDH1A1, SOX2 and OCT4A were evaluated using immunohistochemistry. Progression-free survival(PFS), loco-regional control(LRC),- and overall survival(OS) were estimated by Kaplan-Meier method. Hazard ratios were estimated by Cox proportional hazard models.

resultsNCRT showed significantly improved OS with low membrane expression of CD44 compared to CRT [HR (95% CI) = 0.63 (0.46-0.88)]. Patients with low CD44v6 also showed better outcomes with NCRT [LRC: HR (95% CI) = 0.25 (0.10-0.62); OS: HR (95% CI) = 0.38 (0.19-0.74)]. No similar benefit with NCRT observed in patients with high CD44 or CD44v6 expression. Bootstrap resampling confirmed the predictive effect of CD44 (Interaction P = 0.015) and CD44v6 (Interaction P = 0.041) for OS. Multivariable Cox analysis revealed an independent negative prognostic role of CD98hc membrane expression for LRC [HR (95% CI) = 0.63(0.39-1.0)] and OS[HR (95% CI) = 0.62 (0.40-0.95)].

conclusionsCD44 and CD44v6 are potential predictive biomarkers for NCRT response. CD98hc emerged as an independent negative prognostic biomarker. CLINICAL

trial registrationRegistered with the Clinical Trial Registry of India (Trial registration identifier-CTRI/2014/09/004980).

Indexed as

Head and Neck NeoplasmsPapillomavirus InfectionsAntibodies, Monoclonal, HumanizedBiomarkersChemoradiotherapyCisplatinHumansNeoplastic Stem CellsPrognosisSquamous Cell Carcinoma of Head and NeckAntibodies, Monoclonal, HumanizedBiomarkersCisplatinnimotuzumab

Identifiers

PMID35140342
PMCPMC9091234
OpenAlexW4210938305

What OpenQuestion 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 OpenQuestion graph.